Reducing Air Pollution in India's Industrial Cluster through ...

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Prepared for Climate and Clean Air Coalition (CCAC) By International Institute for Energy Conservation (IIEC) South Asia Office: D – 1, First Floor, Shopping Centre, D – Block, Paschimi Marg, Vasant Vihar, New Delhi – 110 057 INDIA Tel: +91-11-41828216 Fax: +91-41828217 Website: www.iiec.org October 2020 Reducing Air Pollution in India’s Industrial Cluster through Smart Energy Management Report: Ankleshwar, Gujarat Reference number: M1-32SLP-000047

Transcript of Reducing Air Pollution in India's Industrial Cluster through ...

Prepared for

Climate and Clean Air Coalition (CCAC)

By

International Institute for Energy Conservation (IIEC) South Asia Office:

D – 1, First Floor, Shopping Centre, D – Block, Paschimi Marg,

Vasant Vihar, New Delhi – 110 057 INDIA

Tel: +91-11-41828216

Fax: +91-41828217

Website: www.iiec.org

October 2020

Reducing Air Pollution in India’s Industrial Cluster through Smart Energy Management

Report: Ankleshwar, Gujarat Reference number: M1-32SLP-000047

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Table of Contents

1 Executive Summary .............................................................................. 2

2 Introduction .......................................................................................... 6

3 Project Approach and Summary of Activities ....................................... 8

4 Methodology Adopted For The Study ................................................. 11

5 Published VOC Levels in Industrial Area ............................................ 14

6 Industrial Emission Inventory – Baseline Scenario ............................ 15

7 VOC Destruction Technologies ............................................................ 21

8 Predicting Ground Level Concentrations (GLCs) For The Baseline

Emission Scenario ............................................................................... 28

8.1 Meteorological Data ............................................................................................. 28

8.2 Local and Regional Geographical Features ............................................................. 29

8.3 Modelling Results-Predicted GLC for Baseline Emission Scenario (uncontrolled

emissions) .......................................................................................................... 30

9 Estimated Emissions Post Cleaner Technology Options ..................... 32

10 Predicted GLC’s – Post ENCON Measures And Clean Technology

Scenario .............................................................................................. 36

11 Impact of VOC And Other Pollutants on Human Health ..................... 39

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List of Annexures

Annexure-I: Various VOC Control Technologies

Annexure-II: Emission Inventory

Annexure-III: Uncontrolled Emission Scenario - Model Input and Output

Annexure-IV: Reduced Envisaged Emission Scenario - Model Input and Output

Annexure-V: Control of VOC in Chemical Industry

Annexure-VI: Total VOC Exposure Guidelines Recommended by the Commission of The European Communities (CEC 1992)

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List of Abbreviations

AAQ Ambient Air Quality

AAS Atomic Absorption Spectrometry

AERMOD Atmospheric Dispersion Modeling System (Software)

APEC Asia Pacific Economic Cooperation

ASU Air Separation Unit

AQ-SEMP Air Quality and Smart Energy Management

BAT Best Available Technology

BAU Business as Usual

BHEL Bharat Heavy Electrical Limited

Ca (OH)2 Calcium Hydroxide

CaCO3 Calcium Carbonate

CaO Calcium Oxide

CaSO3 Calcium Sulphite

CCS Carbon Capture and Sequestration

CEA Central Electricity Authority

CEPI Comprehensive Environmental Pollution Index

CO2 Carbon Dioxide

CPCB Central Pollution Control Board

CPP Captive Power Plant

DISCOM Distribution Company

EDXRF Energy Dispersive X-ray Fluorescence

EE Energy Efficiency

EIA Environment Impact Assessment

ENCON Energy Conservation

EP Act Environmental protection Act

FBC Fluidized Bed Combustion Boilers

FGD Flue Gas Desulfurization

GHG Green House Gas

GIDC Gujarat Industrial Development Corporation

GLC Ground Level Concentrations

GPCB Gujarat Pollution Control Board

GRP Gross Rating Point

GW Giga Watt

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HCL Hydrochloric Acid

HF Hydrogen Fluoride

HHV Higher Heating Value

HPLC/GC Analysis High Performance Liquid Chromatography

and Gas Chromatography

ICP-ES Inductively Coupled Plasma Emission Spectrometry

IGCC Integrated Coal Gasification Combined Cycle

IMD India Meteorological Department

Kg/hr Kilogram per Hour

kWh Kilowatt Hour

LP Low Pressure

MOD Merit Order Dispatch

MoEFCC Ministry of Environment Forest and Climate Change

M/S Meter per Second

MPa Megapascals

Mtoe Million Tonnes of carbon Equivalent

MW Mega Watt

MWh Mega Watt Hour

NAAQs National Ambient Air Quality standards

NOx Nitrogen Oxides

NTPC National Thermal Power Corporation

PAT Perform, Achieve and Trade

PC boiler Pulverized Coal Boiler

PCBs Pollution Control Boards

PM Particulate Matter

RE Renewable Energy

SC-FBC Super Critical Fluidized Bed Combustion Boilers

SNCR Selective Non-Catalytic Reduction

SOx Sulphur Oxides

SPCB State Pollution Control Board

Sq.Km Square Kilometers

tCO2 Tonnes of Carbon Dioxide

TOEM Technology for Particulate Measurement

T/hr Tonne per hour

TPP Thermal Power Plant

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USC Ultra-Supercritical

USC-FBC Ultra-Super Critical Fluidized Bed Combustion Boilers

USEPA United States Environmental Protection Agency

VOC Volatile Organic Compounds

µg/m3 Microgram per Cubic Meter

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Acknowledgement

This report was prepared by the International Institute for Energy Conservation (IIEC)

team in cooperation with Gujarat State Pollution Control Board (GSPCB), India. The Regional

Pollution Control Office, Ankleshwar, Gujarat has greatly contributed to the study and

provided all the possible support to intensive field work conducted by IIEC team. Dr. B.

Sengupta, Ex Member Secretary of Central Pollution Board (CPCB), India has

provided the guidance throughout the life of the project.

This report was made possible through the generous support of the Climate and Clean

Air Coalition (CCAC). IIEC is thankful to Sandra Cavalieri, Health Initiative and

Household Energy Initiative Coordinator, CCAC Secretariat for providing technical and

managerial support during the entire period of the study. IIEC gratefully acknowledge

reviewers, team members, and technical experts from OSPCB and Odisha State utility who

supported this report. We would like to thank Mr. B. Mahendra, Deputy Manager –

Environment and his team of Chola MS for providing modeling support while conducting the

Air Quality and Smart Energy Management (AQ-SEMP) analysis. Wilaiwan

Kunchansombut carried editorial and formatting responsibility.

Workshops of national and state level experts was organized by IIEC to gather essential input

to this study and was held in June 2019 in December 2019 in Ankleshwar. The workshop

participants offered valuable insights, feedback, and data for this analysis.

Many experts from outside of the IIEC provided inputs, commented on the underlying

analytical work and/or reviewed the report. Their comments and suggestions were of great

value.

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1 EXECUTIVE SUMMARY

India has an urgent need to address rapidly worsening effects of air pollution—on the climate

as well as on human health. The situation is serious as out of the 20 most polluted cities in

the world, 12 are in India. In response to reduce the worsening effects of air quality, the

International Institute for Energy Conservation (IIEC) with funding support from Climate and

Clean Air Coalition (CCAC) is working in India to build air quality monitoring and tracking

capacity among government, industry, and utility partners, and to demonstrate and deliver

cost-effective air pollution reduction strategies in two industrial Indian states—Gujarat and

Odisha—through smart management of industrial energy use. These states were selected

based on a need assessment as well as the demonstrated interest and commitment of their

Pollution Control Boards. The project responded to a large body of evidence that points to

industrial and power plant emissions as two of the major sources of air pollution in industrial

areas. It also builds on an increasing number of studies demonstrating the effectiveness of

smart energy management as a strategy for reducing air pollution in industrialized urban areas.

The project selected Jharsuguda and Ankleshwar Industrial Areas in Odisha and Gujarat States

to develop the framework to transform the efforts to mitigate air pollution from industrial

areas. The project addressed two key barriers to the adoption of energy management as a

solution to the deteriorating air quality in industrial areas: 1) Lack of a demonstrated link

between smart energy management and air quality improvement; and 2) the difficulty of

financing smart energy solutions, that could help address air pollution in industrialized urban

areas. The project established a clear connection between industrial energy use and air quality

and showing how highly polluted areas can address air pollution through adoption of energy

efficiency measures and through deploying clean energy solutions. This report presents the

outcomes of the study conducted in Ankleshwar Industrial Area of Gujarat.

Adopted Methodology for the Study

The project focused on improving understanding among government, industry, and utility

partners of the linkages between air quality and utility/industrial energy management,

demonstrating the potential for reducing

air pollution levels to achieve multiple

health-related and economic benefits

through smart management of industrial

energy use and developing a methodology

for clean energy solutions. To

demonstrate the Air Quality and Smart

Energy Management (AQ-SEMP)

Framework, the following methodology

has been adopted in Ankleshwar Industrial

Area.

▪ Step 1: Defining the Study Area /

Boundary: The boundary of the study area is confined to Gujarat Industrial Development

Corporation (GIDC) area in Ankleshwar, which covers 28.14 Sq.Km (Figure 1). As per

Figure 1: Study Area in Ankleshwar, Gujarat

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the Agro-Climatic Regions map1, the area falls under “Gujarat Plains and Hills” with

semi-arid environmental conditions and the published map is presented in Figure 2. Based

on the published meteorological sub divisional rainfall normal data (1951-2000) (IMD)2, the

area experiences annual rainfall ranging

from 50 to 100 cm. The highest

temperature is recorded in between

25°C and 45°C in the summer season

and lowest temperature is recorded in

between 15°C and 25°C in winter

season. The Ankleshwar Industrial

Area has maximum number of

chemical and pharmaceutical

industries.

▪ Step 2: Review of Published

Baseline Air Quality in the GIDC

Area – As a part of the study, ambient

air quality data for Volatile Organic

Compounds (VOCs) in the GIDC area has been collected from online/ continuous ambient

air quality stations installed by Gujarat State Pollution Control Board (GPCB), and also

from the recently published Environment Impact Assessment (EIA) Reports for the projects

at Ankleshwar.

▪ Step 3: Developing Emission Inventory: An attempt was made to develop baseline

VOC emission inventory data for the major pharmaceutical industrial facilities in the study

area based on the published emission factors and other published environmental impact

assessment and sector specific reports. Since majority of the VOC emissions in

pharmaceutical industries and other chemical industries are fugitive in nature rather than

point source emissions, each industry is considered as an individual area source. Major 32

pharmaceutical industries located in the GIDC industrial area are classified as small,

medium, and large scales industries as per the consented production capacity.

▪ Step 4: Predicting Ground Level Concentrations (GLCs) for the Baseline

Emission Scenario Case: To model the current baseline GLCs using AERMOD model,

due to release of Total VOC emissions from the pharmaceutical industries and other

chemical industries located in Ankleshwar, the baseline emission inventory data as

discussed in Step 3 is used. Since the emissions are considered to be an area source as

mentioned above, the chances of air VOC pollutants getting trapped in the atmosphere is

higher in winter season due to its meteorological conditions. Hence, winter season is

generally been considered as a worst-case scenario for ambient air quality modelling.

▪ Step 5: Proposed ENCON Measures and Clean Technology Options for VOC

Control: As on date there are no regulations on control of VOC emissions from pharmaceutical industries in India, hence there is no unified approach is adopted for the

control VOC emissions by the Industry. As per the MOEF&CC circular issued in 2018 with

regards to standardization of environmental clearance conditions for regulated industries

under EIA Notification 2006, all expansion and greenfield pharmaceutical industries are

1 https://geography4u.com/agro-climatic-zones-in-india/ 2 https://mausam.imd.gov.in/imd_latest/contents/index_rainfall_subdiv.php?msg=M#.

Figure 2: Agro-Climatic Zone Map of the Study Area

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required to demonstrate 98% recovery of solvents. This means the overall VOC emissions

(unaccounted losses) shall be maintained less than 2% of the fresh solvent used. IIEC has

prepared a revised emission inventory for the study area and estimated reduced emission

levels due to the proposed ENCON measures and cleaner production opportunities.

▪ Step 6: Predicting Post Project Scenario GLCs in the Study Area and Evaluating

the Benefits: Based on the emission inventory data prepared considering the

implementation of ENCON measures and cleaner production initiatives, the revised GLCs

are predicted using AERMOD, an air quality modeling software. Based on the model

outcome, the possible benefits on ambient air quality due to reduced TVOC emissions in

the study area were highlighted.

The flow diagram of the model depicting the methodology is presented in Figure-3.

Summary of Results

Due to the implementation of ENCON measures and cleaner technologies options, around

90% reduction of VOC emissions is envisaged. Hence, the Total VOC emission load per unit

or facility shall be reduced from current baseline scenario of 1.0 ton per day per industry to 0.1 tons per day per industry. The predicted concentrations of the TVOC before and after

implementation ENCON measures are presented in Table 1 and Table 2. The model input

and output files are attached as Annexure-IV.

Figure 3: AQ-SEMP Framework Model and Methodology

Flow Chart for the Methodology Adopted

Obtaining information on Emission

Inventories for VOC, PM, SO2, NOX

emissions for individual clusters.

Obtaining the Meteorological data

and upper air data from IMD or any

other authentic sources.

Modelling using AERMOD Software

Estimation of 24 hours and annual average GLC’s

Generation of pollution contours for the criteria pollutants

Comparison of modelled data with published

baseline air quality data in the region

Considering all Encon and Clean

Technology Measures adopted in the

industries, the revised air quality modeling

will be undertaken

Predicted GLC’s will be modelled using

AERMOD

Collecting and analyzing data from local hospitals and

Medical officers of the Industries in the industrial cluster,

for respiratory / pollutant concentration related diseases

Correlate this health Impact with Air quality

and concentration of pollutants

Use the revised Air quality modelling to

estimate the possible reductions in

respiratory diseases in future

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Table 1 Predicted GLC for Baseline Emission Scenario Vs. Post ENCON Scenario

Location

Baseline Emission Scenario

(2nd Highest Predicted 24

Hrs. Avg GLC) (mg/m3)

Post Encon & Cleaner

Technologies Implementation

(2nd Highest Predicted 24

Hrs. Avg GLC) (mg/m3)

Average Reported

Baseline Air Quality Data in

GIDC (mg/m3)

TLV of VOC Species (mg/m3)

Long-Term Chronic

Exposure Risk Levels for

Various VOC Species (mg/m3)

Within the core zone (industrial areas)

2.5 to 7.5 0.25 to 0.75 0.65 to 2.4

0.5 to 1200 0.15 to 30

Outside the industrial area (within 1km from industrial area boundary)

<2 <0.2 No data

1 km to 3km from the industrial area boundary

Traces to 1 Traces to 0.1 No data

Table 2 Predicted GLC for Baseline Emission Scenario Vs. Post ENCON Scenario

Location

Baseline Emission

Scenario with Atmospheric Scavenging

Effect (2nd Highest Predicted 24

Hrs. Avg GLC) (mg/m3)

Post Encon & Cleaner

Technologies implementation

with Atmospheric Scavenging

Effect (2nd Highest Predicted 24

Hrs. Avg GLC) (mg/m3)

Average Reported

Baseline Air Quality Data in

GIDC (mg/m3)

TLV of VOC Species (mg/m3)

Long-Term Chronic

Exposure Risk Levels for

Various VOC Species (mg/m3)

Within the core zone (industrial areas)

1.75 to 5.25 0.17 to 0.52 0.65 to 2.4

0.5 to 1200 0.15 to 30

Outside the industrial area (within 1km from industrial area boundary)

<1.4 <0.15 No data

1 km to 3km from the industrial area boundary

Traces to 0.7 Traces to 0.07 No data

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2 INTRODUCTION

Rapid economic growth has brought many benefits to India, but at a cost to human health and

the environment. Growth in industrial production, construction of buildings, roads and

highways and urban transport has led to poor air quality in many Indian cities and industrial

clusters. There is an urgent need to address the rapidly worsening effects of air pollution—

on both human health and the global climate—by implementing measures to improve air

quality and reduce pollution and air emissions in India’s industrial clusters.

Smart energy management, along with clean technologies and advanced pollution control

measures have proven to be an effective strategy for reducing air pollution in both developed

and transitioning economies, holds significant potential to reduce emissions from industries

and power plants—two of the major sources of air pollution in many of India’s urban areas.

The project provides a critical proof of concept: That developing country cities can achieve

significant, measurable reductions in air pollution specially, Volatile Organic Compound

(VOC) emissions and greenhouse gas emissions through investing in smart energy

management. and advance control technologies. Achieving this goal, however, requires

addressing two key challenges: 1) Lack of a demonstrated link between smart energy

management and air quality improvements in India; and 2) the need to scale up development,

financing, and implementation of smart energy solutions, including renewable energy (RE) and

energy efficiency (EE), that can help address air pollution in industrialized urban areas, critically

polluted areas by offsetting fossil fuel use for diesel and coal-fired electricity generation.

Project Objectives

The project tends to transform efforts to mitigate air pollution from India’s industrial and

power sectors by: 1) improving understanding among government, industry, and utility

partners of the linkages between air quality and utility/industrial energy management; 2)

demonstrating the potential for reducing air pollution levels to achieve multiple health-related

and economic benefits through smart management; and 3) developing and testing an approach

for providing clean energy solutions. The project activities have been implemented in

industrialized areas of Gujarat and Odisha States, where air pollution is a critical concern. The

project has support from both State Governments, indicating their strong interest in the

project.

In view of the implementation of various energy conservation (ENCON) strategies and

cleaner production initiatives, IIEC intended to develop a technical report to demonstrate the

advantages of implementing ENCON measures and cleaner production initiatives to reduce

the targeted Volatile Organic Compound (VOC) emissions and air emissions from the

respective industrial clusters. For the study, two such industrial clusters located at Jharsuguda

in Odisha and Ankleshwar in Gujarat were selected. These are among 44 critically polluted

industrial clusters as identified by the Central Pollution Control Board (CPCB) based on

Comprehensive Environment Pollution (CEPI) Index. The implementation of ENCON

measures and clean technology options in industrial clusters will exhibit multiple advantages

and benefits such as reduced fossil fuel consumption and thereby conservation of natural

resources for future generations. Reduction in greenhouse gas and criteria pollutant emissions

such as PM, SO2, NOx and Volatile Organic Compound (VOC) emissions will help to improve

the regional air quality and reduced the health effect due to air pollution in the region.

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The project tends to predict possible reduction in ground level concentration of above-

mentioned criteria pollutants due to adoption of ENCON measures and cleaner production

initiatives in various sectors in the Ankleshwar Region. This report presents the air quality

modelling results for current baseline emissions scenario and post project implementation

scenario.

This report focuses on the major pharmaceutical industries located at GIDC, Ankleshwar

in Gujarat. This cluster faces major Volatile Organic Compounds (VOCs) emissions.

The majority of anthropogenic volatile Organic Compounds (VOCs) released into the

atmosphere are from transportation sources and industrial processes utilizing solvents such

as surface coating (paints), printing (inks), and petrochemical processing. Notably VOC

compounds are not formed in industrial processes, they are lost.

VOCs are organic compounds that can volatilize and participate in photochemical reactions

when the gas stream is released to the ambient air. Almost all the organic compounds used as solvents and as chemical feedstock are VOCs. However, a few organic compounds, such

as methane, are not considered to be VOCs.

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3 PROJECT APPROACH AND SUMMARY OF ACTIVITIES

The project started in February 2019 with gathering the understanding from the concerned

stakeholders on the subject matter identifying linkages between the industrial air pollution

and its mitigation through introduction of smart energy management techniques, was

completed. Several meetings with the Odisha and Gujarat State Pollution Control Board were

organized. The meetings focused on presenting the project objectives and seeking acceptance

from the State Pollution Control Board in helping the project team in implementation of

project activities. Jharsuguda Industrial Area in Odisha and Ankaleshwar Industrial Area in

Gujarat were mutually selected to conduct project activities.

Consecutive to the same a desk-based literature review was carried out understanding the

critical important industries present in the identified industrial areas and developing

questionnaire to collect air pollution relevant data from the industries. It was identified that

the majorly the Chemical Industries including Pharmaceutical, Pesticide and Dye Intermediate

Industries are present in Ankleshwar industrial areas. The data was collected from these

industries using the questionnaires. Before using, the questionnaires were peer reviewed by

the state pollution control board in Gujarat.

Followed by this, a good number of outreach activities were conducted to mobilize the

support of industries, utilities, experts, industry associations, donor agencies, financing

institutions and the staff at Pollution Control Board Gujarat.

Workshops were organised to launch the project in both the states wherein stakeholders

such as industry representatives, health department representatives and government

stakeholders were present. The main objective of the launch workshops was to generate

awareness amongst the local stakeholder on the project activities, request the information

required from them and discuss the issues in implementation.

After the launch workshops, surveys of select industries were conducted to understand the

critical areas responsible for emissions and developed the methodology to performs emission load analysis for the two selected industrial areas. The emission data was analysed and the

current emission load and pollution levels for Jharsuguda were calculated. The sections below

discuss about the project findings and emission data analysis. Also, the report compares the

business as usual and post implementation scenarios for Air Quality Management with the

help of Smart Energy Management.

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Activity Summary

Activity Description of Work Undertaken During Reporting Period

Deliverables Delivery Date

Status of Activity

(Completed/ On-Going/ Delayed)

Comments - Brief Description of Implementing Challenges, Strategy / Actions

which have been Adopted to Address the Challenges and Planned Actions to Mitigate

any Identified Risks.

Activity 1: Improving the Understanding of Stakeholders

Coordinated and convened launch events and workshops with key partners present in Odisha and Gujarat including state pollution control board, health departments, department of industries etc. Develop a detailed work plan and collection pollution data, energy data and health data

1. Detailed work-plan including timeline for carrying workshop activities

2. Power point presentation delivered at workshop

3. Workshop report including agenda attendees list

15th July 2019

Completed

The main challenge experienced while implementing the project activity 1 was to collaborate with the industrial organizations and convince them to provide required air pollution data. To overcome the barrier, the project team organized meetings with the State Pollution Control Boards (SPCBs) and requested their intervention on the same. Understanding the need for the study, the SPCBs collaborated with the project team. The project is now being implemented in the selected industrial areas with the help and support provided by SPCBs. The data from the industry organizations is being collected and routed through SPCBs.

Activity 2: Collection and Analysis of Data

Collection of available data from SPCBs, industry associations and utilities

1. Current scenario of extent/ source of air pollution and energy consumption in Odisha and Gujarat

July 2019

Completed

The main challenges faced by the project team, were the collection of data. To mitigate this the project team adopted the approach of taking the help of the authority of the Regional Offices at the state pollution control boards to collect data from the utilities and industrial associations.

Activity 2: Development of Detailed Methodologies

Develop detailed methodology for air quality assessment and impact attribution, in consultation with state PCBs and other stakeholders

1. Air quality and Health Impact Assessment

Aug 2020 Completed

The project Team deployed the highly accurate modelling software to generate the air quality models and patterns which would further be utilized to plot against the health indices and respiratory disease indices from these two states to establish a correlation between the air quality and health. Major challenge is the inconsistent data.

Activity 3: Final Reporting

Submission of final reports to CCAC and stakeholders. Showcase Smart Energy Management pollution reduction potential and its

1. Completed CCAC Demonstrating Impacts reporting database questionnaire and

Aug 2020 Completed The project team run the Software modelling to estimate reduction potential of the EE measures to showcase BAU vs After EE adoption scenarios and corelated health benefits.

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Activity Description of Work Undertaken During Reporting Period

Deliverables Delivery Date

Status of Activity

(Completed/ On-Going/ Delayed)

Comments - Brief Description of Implementing Challenges, Strategy / Actions

which have been Adopted to Address the Challenges and Planned Actions to Mitigate

any Identified Risks.

corelated health impact benefits. submission of Annual Report 2. Final Report to Stakeholders

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4 METHODOLOGY ADOPTED FOR THE STUDY

To meet the specific objectives of the study, the following methodology has been adopted.

▪ Step 1: Defining the Study Area / Boundary: The boundary of the study is confined

to GIDC Industrial Area in Ankleshwar, which covers an area of 28.14 Sq. Km (Figure 4).

As per the Agro-climatic Regions Map3, the area falls under “Gujarat Plains and Hills” with

semi-arid environmental conditions and the published map is presented in Figure 5. Based

on the published meteorological sub divisional rainfall normal data (1951-2000) (IMD)4, the

area experiences annual rainfall ranging from 50 to 100 cm. The highest temperature is

recorded in between 25°C and 45°C in the summer season and lowest temperature is

recorded in between 15°C and 25°C in winter season.

Figure 4: Study Area (GIDC, Ankleshwar)

3 https://geography4u.com/agro-climatic-zones-in-india/ 4 https://mausam.imd.gov.in/imd_latest/contents/index_rainfall_subdiv.php?msg=M#.

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Figure 5: Agro-Climatic Zones of India

▪ Step 2: Review of Published Baseline Air Quality in the GIDC Area – As a part of

the study, ambient air quality data for VOC in the GIDC area has been collected from

online/ continuous ambient air quality stations installed by Gujarat State Pollution Control

Board (GPCB), and also from the recently published EIA reports for the projects at

Ankleshwar.

▪ Step 3: Developing Emission Inventory: An attempt was made to develop baseline

VOC emission inventory data for the major pharmaceutical industrial facilities in the study

area based on the published emission factors and other published environmental impact

assessment and sector specific reports. Since majority of the VOC emissions in

pharmaceutical industries and other chemical industries are fugitive in nature rather than

point source emissions, each industry is considered as an individual area source. Major 32

pharmaceutical industries located in the GIDC industrial area are classified as small,

medium, and large scales industries as per the consented production capacity. VOC

emissions are envisaged form reactor vents, dryers, centrifuges, solvent recovery units and

other areas such as flanges, valves etc, Level of VOC emission release form the facility

depends on the production operations, quantity of solvents used, and volatility of solvents

and recovery rate of solvents in the facility. Properties of some of the most common VOC

and semi-VOCs that are used in pharmaceutical industries are presented in Table 6 of this

report. VOC emission from pharmaceutical industries vary between traces to as high as 2.5 TPD. Except few large industries, majority of the pharmaceutical industries in the study

area fall under small to medium size industries and it is ideal to assume a VOC emission

rate of 1 TPD per unit.

▪ Step 4: Predicting Ground Level Concentrations (GLCs) for the Baseline

Emission Scenario Case: To model the current baseline GLCs using AERMOD model,

due to the release of Total VOC (TVOC) emissions from the pharmaceutical industries

and other chemical industries located in the GIDC of Ankleshwar, the baseline emission

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inventory data as discussed in Step 3 is used. These VOC emissions are non-buoyant

plumes and does not experience any momentum rise. Since the emissions are considered

to be an area source, the chances of air VOC pollutants getting trapped in the atmosphere

is higher in winter season due to its meteorological conditions. Hence, winter season is

generally been considered as a worst-case scenario for ambient air quality modelling. Hence

the air quality modelling exercise was undertaken based on winter meteorological data.

The modelled GLCs are plotted as isopleths to establish the spread and distribution of

VOCs with respect to its concentration profile in the study area. The 2nd highest GLC’s

represent the worst-case emission release scenario.

▪ Step 5: Proposed ENCON Measures and Clean Technology Options for VOC

Control: Till date, there are no regulations on control of VOC emissions from

pharmaceutical industries in India. Hence, there is no unified approach is adopted for the

control VOC emissions by the Industry. As per the MOEF&CC circular issued in 2018 with

regards to standardization of environmental clearance conditions for regulated industries under EIA Notification 2006, all expansion and greenfield pharmaceutical industries are

required to demonstrate 98% recovery of solvents. This means the overall VOC emissions

(unaccounted losses) shall be maintained less than 2% of the fresh solvent used. IIEC has

prepared a revised emission inventory levels in the study area. The estimated depicting

reduced emission levels (up to 90% reduction in baseline emissions) are due to the

proposed ENCON measures and cleaner production opportunities. Hence the specific

VOC emission rate of 0.1 TPD per unit has been considered for modelling the GLCs due

to implementation of ENCON and cleaner production initiatives.

▪ Step 6: Predicting Post Project Scenario GLCs in the Study Area and Evaluating

the Benefits: Based on the emission inventory data prepared considering the

implementation of ENCON measures and cleaner production initiatives, the revised GLCs

are predicted using AERMOD, an air quality modelling software. Based on the model

outcome, the possible benefits on ambient air quality due to reduced TVOC emissions in

the study area were highlighted.

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5 PUBLISHED VOC LEVELS IN INDUSTRIAL AREA

The ambient air quality data for VOCs published by GPCB and from the latest EIA study

reports for the developmental projects in the region are considered for the study. The GPCB

is measuring the VOC concentrations in ambient air at M/s. Rallis India Limited with the GIDC

of Ankleshwar area and the details are presented in Table 3. Based on GPCB data published,

the average VOC concentrations in ambient air is exhibited to be about 0.2 mg/m3 (200

µg/m3). Based on the published EIA reports, baseline ambient VOC levels are reported to be

ranging from 0.26 mg/m3 (260 µg/m3) to 2.7 mg/m3 (2700 µg/m3) in the vicinity and nearby

areas of the facilities (Table 4).

Table 3: Concentration of VOC in ambient air-Published GPCB data in 20115

Pollutant Location Annual (2011) (µg/m3)

Conc of VOC Rallis India Limited 200

Table 4: Ambient Air VOC Levels in the Vicinity and Area (24-Hours Avg. Conc)6

Location- GIDC Industrial Estate Coordinates VOC (µg/m3)

Minimum Value

Maximum Value

Average Value

M/s. Shree Colosperse Pvt Ltd. 21° 37' 9.57"N 73° 2' 34.38"E

1600 2700 2400

M/s. Shree Chemopharma Ankleshwar Pvt Ltd.

73° 1'16.81" E 21°37'24.67" N

- - 650

Mittolia Chemicals, GIDC, Ankleshwar

21°37'42.40"N 73° 0'43.94"E

260 650 -

Note: The reported values in PPM of VOC is converted into mg/m3 based on methane scale

5 State of Air Environment,2011, GPCB,Gujarat. http://gujenvis.nic.in/PDF/soe-air.pdf) 6 Environmental Impact Assessment report of M/s. Shree Colosperse Pvt Ltd., GIDC Estate, Ankleshwar and

M/s. Shree Chemopharma Ankleshwar Pvt Ltd and M/s Mittolia Chemicals

(http://environmentclearance.nic.in/writereaddata/FormB/EC/EIA_EMP/17052019DXJGY596only.pdf

http://environmentclearance.nic.in/writereaddata/EIA/130520199MVM0QVHEIAReportUmaOrganic.pdf

http://environmentclearance.nic.in/writereaddata/FormB/EC/EIA_EMP/26032019C7S21OHQAnnexure-EIAEMP.pdf)

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6 INDUSTRIAL EMISSION INVENTORY – BASELINE

SCENARIO

GIDC Ankleshwar is an industrial hub of the Gujarat state constituting many chemical and

pharmaceutical industries. Based on the internet search and published data, the small, medium,

and large industries in GIDC were identified and taken into consideration for the study. A

total of 32 major pharmaceutical industries and other chemical industries has been identified

in the study area. The list is presented in Table 5 and satellite google imagery is presented in

Figure 6.

Table 5: List of Major Pharmaceutical Industries in GIDC Industrial Area

S. N. Industry Name

1 Apex Healthcare Ltd.

2 Cadila Healthcare Ltd- Unit 1, Zydus A, Cadila Pharmaceuticals Ltd-Unit 1

3 Zydus Cadila Unit 2

4 Dynamic Products Ltd-1

5 Dynamic Products Ltd-2

6 Intas Pharmaceuticals Ltd.

7 Shree Mahadev Intermediates

8 Pragna Dye Chem Pvt Ltd.

9 Rajesh Pharmaceuticals

10 Shree Sulphurics Pvt Ltd

11 Suyog Dye Chemie Pvt Ltd

12 UPL Ltd, Unit 3

13 Skylark Pharmaceuticals Pvt. Ltd.

14 Prudence Pharma Chem

15 Riddhi Pharma

16 Ratnamani Bio-chemicals & Pharmaceuticals Pvt Ltd

17 Vihita Chem Pvt Ltd. (Unit 1)

18 Vihita Chem Pvt Ltd. (Unit 2)

19 Tatva Chintan Pharma Chem Pvt Ltd.

20 Norris Medicines Ltd.

21 Hema Pharmaceuticals Pvt Ltd.

22 Sanofi India Limited

23 Sun Pharmaceuticals India Limited

24 Ronak Chemicals

25 Shree Ganesh Remedies Private Limited

26 ZCL Chemical Limited

27 Kenoor Organics Private Limited

28 Basic Science Life Science Private Limited

29 IPCA Laboratories

30 Link Pharma Chem Ltd

31 Euphoric Pharmaceuticals Private Limited

32 Samrat Pharmachem Limited

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Figure 6: Satellite Google Imagery Showing the Major Pharmaceutical Industries in

GIDC Ankleshwar

Solvents contribute to almost 98% of the VOC emissions in pharmaceutical industries. Solvents in the facility will be subjected to recovery at the onsite recovery facilities to the

maximum possible extent for resource conservation and operating cost reduction. Often the

still residues will be sent to common solvent recycling facilities for further processing as per

the Hazardous Waste Management Rules. The unaccounted solvent loss in the process vents,

dryers, centrifuges, storage tanks, ETP drains and strippers will eventually entre into the

atmosphere as fugitive emissions. These VOC emissions are classified into three categories

such as very volatile (VV-VOC), volatile (V-VOC) and semi-volatile (SVOC) as per USEPA7

guidelines. Volatility is indicated by a substance's vapor pressure. It is a tendency of a substance

to vaporize or the speed at which it vaporizes. Substances with higher vapor pressure will

vaporize more readily at a given temperature than substances with lower vapor pressure.

▪ Very Volatile (VV-VOC) – Solvents with boiling point ranging from (<0°C to 50-100°C)

▪ Volatile (V-VOC) – Solvents with boiling point ranging from (50 -100°C to 240 – 260°C)

▪ Semi-Volatile (S-VOC) – Solvents with boiling point ranging from (240 -260 °C to 380

– 400°C)

Based on the USEPA and other agencies, majority of the VOC emissions are generated from

VV-VOC and V-VOC compounds in the industrial environment. Hence for the purpose of

this study, VV-VOC and V-VOC solvents are commonly used in pharmaceutical industries are

considered. Based on the VOC emission inventory report related to GIDC Ankleshwar, the

VOC concentration in the ambient air resulting from operations of pharmaceutical industries

and other chemical industries, major volatile solvents used in such industries are listed out in

7 Technical Overview of Volatile Organic Compounds, USEPA

https://www.epa.gov/indoor-air-quality-iaq/technical-overview-volatile-organic-compounds

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Table 6. It can be noted that among the 14 solvents that are most common used in

Pharmaceutical industries, Benzene, Acetonitrile, Ethylene Dichloride, Chloroform fall under

VV-VOC and also highly toxic compounds, those need to be considered as priority VOC

compounds under cleaner production initiatives.

Based on the data collected, VOC emission from pharmaceutical industries would vary

between from traces to as high as 2.5 TPD. Except few large industries, majority of the

pharmaceutical industries in the study area fall under small to medium size plants and it is ideal

to assume a VOC emission rate of 1 TPD per unit. The area emission factor in g/m2/sec for

each industry is estimated based on its footprint (m2) of the facility estimated from the google

satellite layout. The details are presented in Annexure-I.

VOC emissions undergo numerous physical and photochemical process in the atmosphere

depending on several intrinsic characteristics of the hydrocarbons, solar radiation, and oxides

of nitrogen. This will lead to degradation, transformation, and deposition of pollutants from the atmosphere. VOCs are transformed by the chemical process of photolysis such as

reaction with hydroxyl radicals (OH) during daylight hours, reaction with nitrate radical (NO3)

during evening and night-time. The rate of chemical reactions is dependent on

temperature/solar insolation, hence the lifetimes/half-life of VOCs with respect to each of

these potential transformation processes are dependent on the concentrations of OH

radicals, NO3 radicals, Cl atoms, and O3 in the troposphere8.

Although there are no published data on the scavenging rate (rate of removal from

atmosphere) of hydrocarbons, the half-life period of some of VOC compounds were reported

to be few hours to three days depending on the structure of the molecule and other climatic

conditions University of California, USA)9. The predicted GLCs estimated using AERMOD

will assume that VOC compounds does not undergo chemical reaction and degradation in the

atmosphere. Based on this information, a VOC scavenging (removal rate) of 30% has been

considered for reporting the corrected GLC values. This means that 30% of the predicted

GLC will undergo chemical degradation and deposition and the resultant 24-Hrs average GLC

will be only 0.7 times the predicted GLC values.

8 Atmospheric Degradation of Volatile Organic Compounds, Roger Atkinson, and Janet Aery,

https://pubs.acs.org/doi/10.1021/cr0206420 9 Reactivity Scale for Atmospheric Hydrocarbons Based on Reaction with Hydroxyl Radical, State-wide Air

Pollution Research Center, University of California, Riverside, Calif. 92502

https://ww3.arb.ca.gov/coatings/eir/ref/0300.pdf

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Table 6 Properties of Some of the Critical Solvents Considered for the Study10

Rank Solvents

Typical

Percentage

Consumption

Pattern in

Pharma

Industries (% of

Total Solvent

Use)

Typical

Emission Rate

in Pharma

Industries11

(TPD)

Chemical

Formula

Volatility

(Based on

Boiling

Point)

Boiling

Point

(°C)

Melting

Point

(°C)

Flash

Point

(Closed

Cup)

(°C)

Vapour

Pressure

@25°C

(mm Hg)

TLV-TWA

(8hr -Time

Weight

Average)

(PPM)

TLV-TWA

(8hr -Time

Weight

Average)

(mg/m3)

Chronic Exposure

Levels – International

Standards of Different

Countries (USA,

European Countries,

Germany, India, USSR,

Japan etc)

Maximum Permissible

Limits of HAPS12

1 Benzene 4 0.04 C6H6 Very volatile 80 5.5 -11 94.8 0.5 1.6

0.005 mg/m3 (India)

(annual average)

0.03 mg/m3 (USEPA)13

2 Acetonitrile 4 0.04 CH3CN Very volatile 81.6 -44 6 - 20 34 0.06 mg/m3 (USEPA)14

3 Ethylene Dichloride 8 0.08 C2H4Cl2 Very volatile 83.5 -35.5 13 78.9 10 40 1 0 mg/m3 (USSR)

0.8 mg/m3 (USEPA)15

4 Chloroform 4 0.04 CHCl3 Very volatile 61.1 -63.6 - 197 10 50 0.3 mg/m3 (USEPA)16

5 Toluene 6 0.06 C7H8 Volatile 110.6 -94.9 4 28.4 20 75 1.9 mg/m3 (Germany)

10 Handbook of organic solvent properties by Ian M. Smallwood

National Library of Medicine (Pub Chem), National Center for Biotechnology Information( https://pubchem.ncbi.nlm.nih.gov/) 11 Typical VOC emission from Chemical Industry at Ankhleswar, data shared by IIEC 12 WHO –IPCS (Health & Safety Guide for Occupational Exposure Limit Values),

Emissions Specification in Europe and the US-Limits (TVOC, LCI,CREL..) in critical discussion. https://www.eurofins.com/media/2273/emission_limit_values_in_critical_discussion_953.pdf

Published PARIVESH HAZARDOUS AIR POLLUTANTS REPORT, CPCB and MoEF&CC http://home.iitk.ac.in/~anubha/HAP.pdf

Criteria and Methods for Establishing Maximum Permissible Concentrations of Air Pollution, by V.A.RJAZANOV, 1965,32,389-398

Toxic Volatile Organic Compounds (VOCs) in the Atmospheric Environment: Regulatory Aspects and Monitoring in Japan and Korea, by Wen-Tien Tsai, MDPI, 7TH September 2016. 13 Benzene; CASRN 71-43-2: https://cfpub.epa.gov/ncea/iris/iris_documents/documents/subst/0276_summary.pdf 14 Acetonitrile : https://19january2017snapshot.epa.gov/sites/production/files/2016-09/documents/acetonitrile.pdf 15 Ethylene Dichloride https://19january2017snapshot.epa.gov/sites/production/files/2016-09/documents/ethylene-dichloride.pdf 16 Chloroform : https://19january2017snapshot.epa.gov/sites/production/files/2016-09/documents/chloroform.pdf

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Rank Solvents

Typical

Percentage

Consumption

Pattern in

Pharma

Industries (% of

Total Solvent

Use)

Typical

Emission Rate

in Pharma

Industries11

(TPD)

Chemical

Formula

Volatility

(Based on

Boiling

Point)

Boiling

Point

(°C)

Melting

Point

(°C)

Flash

Point

(Closed

Cup)

(°C)

Vapour

Pressure

@25°C

(mm Hg)

TLV-TWA

(8hr -Time

Weight

Average)

(PPM)

TLV-TWA

(8hr -Time

Weight

Average)

(mg/m3)

Chronic Exposure

Levels – International

Standards of Different

Countries (USA,

European Countries,

Germany, India, USSR,

Japan etc)

Maximum Permissible

Limits of HAPS12

5 mg/m3 (USEPA)17

6 N-Methyl

Pyrrolidone 6 0.06 C5H9NO Volatile 202 -24 96 0.345 20 80 Not specified

7 Methylene

Dichloride (MDC) 14 0.14 CH2Cl2 Very volatile 40 -95.1 - 435 50 175

0.15 mg/m3 (Japan) -

(annual average)

3 0 mg/m3 (USEPA)18

8 N-Hexane 5 0.05 C6H14 Very volatile 68.7 -95 -22 153 50 180 0.28 mg/m3 (USEPA)19

9 Cyclohexane 8 0.08 C6H12 Very volatile 81 7 -18 96.9 100 350 6 mg/m3 (USEPA)20

10 Xylene 6 0.06 C8H10 Volatile 144.5 -25.2 31 6.65 100 440 2.2 mg/m3 (Germany)

0.1 mg/m3 (USEPA)21

11 Iso Propyl Alcohol

(IPA) 10 0.1 C3H8O Very volatile 82 -89.5 12 45.4 200 500 2.2 mg/m3 (USEPA)22

17 Toluene; CASRN 108-88-3 : https://cfpub.epa.gov/ncea/iris/iris_documents/documents/subst/0118_summary.pdf 18 https://www.epa.gov/sites/production/files/2016-09/documents/methylene-chloride.pdf 19 https://www.mass.gov/doc/1995-ambient-air-exposure-limits-aals-for-chemicals/download 20 Cyclohexane; CASRN 110-82-7 : https://cfpub.epa.gov/ncea/iris/iris_documents/documents/subst/1005_summary.pdf 21 Xylenes; CASRN 1330-20-7 : https://cfpub.epa.gov/ncea/iris/iris_documents/documents/subst/0270_summary.pdf 22 https://cfpub.epa.gov/ncea/pprtv/documents/Isopropanol.pdf

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Rank Solvents

Typical

Percentage

Consumption

Pattern in

Pharma

Industries (% of

Total Solvent

Use)

Typical

Emission Rate

in Pharma

Industries11

(TPD)

Chemical

Formula

Volatility

(Based on

Boiling

Point)

Boiling

Point

(°C)

Melting

Point

(°C)

Flash

Point

(Closed

Cup)

(°C)

Vapour

Pressure

@25°C

(mm Hg)

TLV-TWA

(8hr -Time

Weight

Average)

(PPM)

TLV-TWA

(8hr -Time

Weight

Average)

(mg/m3)

Chronic Exposure

Levels – International

Standards of Different

Countries (USA,

European Countries,

Germany, India, USSR,

Japan etc)

Maximum Permissible

Limits of HAPS12

12 Methanol 6 0.06 CH30H Very volatile 65 -98 9 12.9 200 540 0.5 mg/m3 (USSR)

2 mg/m3 (USEPA)23

13 Acetone 11 0.11 C3H6O Very volatile 56 -95 -18 231 500 1200

0.35 mg/m3 (USSR)

20 to 35 mg/m3

(USEPA – By various

states)24

14 Pet ether 4 0.04 C6H14 Very volatile 36 -129 -40 538 400 1360 1200 mg/m3

(USEPA)25

Total 100 1

23 Methanol; CASRN 67-56-1: https://cfpub.epa.gov/ncea/iris/iris_documents/documents/subst/0305_summary.pdf 24 https://www.atsdr.cdc.gov/ToxProfiles/tp21.pdf 25 Ethyl ether (Diethyl ether) : https://cfpub.epa.gov/ncea/pprtv/documents/EthylEther.pdf

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7 VOC DESTRUCTION TECHNOLOGIES

To reduce the quantities of VOCs that are lost as fugitive emissions, it is necessary to redesign

the industrial processes, both form a chemical and an engineering point of view. End-of-pipe

technology (thermal incinerators, catalytic incinerators, liquid and solids adsorbents,

condensers, biodegradation, etc) must be applied when redesign of the process is inapplicable

or insufficient.

1. Thermal Oxidation

Thermal oxidation occurs by heating the polluted air to elevated temperatures (700 – 1000

°C). Thermal oxidation is a process whereby most of the VOCs are broken down and

recombined with oxygen to produce water vapor and carbon dioxide. In a thermal oxidizer,

the polluted air stream is heated to gas temperatures several hundred degree Celsius above

the auto-ignition temperature of the organic compounds that need to be oxidized. Due to

these extremely high temperatures, thermal oxidizers have refractory-lined combustion

chambers (also called fume incinerators) (see Figure-7 below), which increase their weight

and size considerably. The efficiency of oxidation and the design of most oxidizers is governed

by the residence time (from a fraction of a second to more than two seconds), the combustion

chamber temperature and the amount of turbulence the air stream sees. Thermal oxidizers

usually provide VOC destruction efficiencies that exceed 95% and often exceed 99%. One of

the main limitations of thermal oxidizers is the large amount of fuel required to heat the gas

stream to the temperature necessary for high-efficiency VOC destruction. Termed regenerative thermal oxidizers (RTOs) use heat exchanger to recover some of the heat of

the waste gas and to return it to the inlet gas stream. Therefore, these units, require less fuel

to maintain the combustion chamber at the necessary temperature.

Figure 7:Thermal Oxidizer with Recuperative Heat Exchanger

Thermal oxidizers have the broadest applicability of all the VOC control devices. They can be

used for almost any VOC compound. Thermal oxidizers can also be used for gas streams

having VOC concentrations at the exceptionally low concentration range of less than 10 ppm

up to the extremely high concentrations approaching 10,000 ppm.

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Safety constraints impose to use thermal oxidizers for gas streams having VOC

concentrations not exceedingly approximately 25% of the lower explosive limit (LEL). This

constrain has been introduced to be able to cope with possible short-term concentration

spike that would exceed the LEL. The 25% LEL limit depends on the actual gas constituents

and usually is in the 10,000 to 20,000 ppm range.

Thermal oxidizers handling VOC materials that contain chlorine, fluorine, or bromine atoms

generate HCl, Cl2, HF, and HBr as additional reaction products during oxidation. A gaseous

absorber is used as part of the air pollution control system to collect these contaminants

prior to gas stream release to the atmosphere.

2. Catalytic Oxidation

Due to the presence of a catalyst, oxidation reactions can be performed at substantially lower

temperatures (250-550 °C) than thermal oxidizers (700-1000°C). Common types of catalysts

include noble metals (i.e. platinum and palladium) and ceramic materials. VOC destruction by

catalytic oxidizers usually exceeds 95% and often exceeds 99%. Due to the relatively low gas

temperatures in the combustion chamber, there is no need for a refractory lining to protect

the oxidizer shell. This minimizes the overall weight of catalytic oxidizers and provides an

option for mounting the units on roofs close to the point of VOC generation. This placement

can reduce the overall cost of the system by limiting the distance the VOC-laden stream must

be transported in ductwork. Catalytic oxidizers are also applicable to a wide range of VOC-

laden streams; however, they cannot be used on sources that also generate small quantities

of catalyst poisons. Catalyst poisons are compounds that react chemically in an irreversible

manner with the catalyst. Common catalyst poisons include phosphorus, tin, and zinc. Another

potential operating problem associated with catalytic oxidizers is their vulnerability to

chemicals and/or particulate matter that masks or fouls the surface of the catalyst. (Masking

is the reversible reaction of a chemical with the catalyst and fouling is the coating of the

catalyst with a deposited material.) If the conditions are potentially severe, catalytic units are

not installed.

Figure 8: Scheme of a Catalytic Oxidation System

As with thermal oxidizers, catalytic oxidizers should not exceed 25% of the LEL, a value that

is often equivalent to a VOC concentration of 10,000 to 20,000 ppm.

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The catalytic incineration method has become most popular because, in many cases, it is more

versatile and economic for the low concentrations of organic emissions (i.e., <5,000 vppm).

The actual operating temperature and amount of preheat varies, depending on the organic

molecule, space velocity, composition of feed (i.e., contaminants water vapor, and so forth),

and organic concentration. Typical examples of operating temperatures are given in Table-7

below. One-way of comparing thermal versus catalytic abatement is to look at the energy

required (air preheat temperature) to obtain quantitative removal of a given hydrocarbon.

The operating temperatures shown in the Table-7 are well below the corresponding

temperatures necessary to initiate thermal (noncatalytic) oxidation. The catalyst initiates

reaction at lower temperatures. This demonstrates the major advantage of catalysed

processed, which is that they proceed faster than noncatalytic reactions, allowing lower

temperatures for the same amount of conversion. This translates directly into improved

economic for fuel use and less expensive reactor construction materials since corrosion is

greatly reduced. Selection of the catalytic material for various organic pollutants has been the subject of many studies. Because metal oxides, precious metals, and combinations are used

both for hydrocarbons and chlorinated hydrocarbons. As a rule, precious metals (especially

platinum and/or palladium dispersed on carriers) are preferred because of their, resistance to

deactivation, and ability to be regenerated.

Table 7: Operating Temperatures for Catalytic Abatement of Organic Compounds

Name of Constituent

Chemical Formula

Temperature Rise 1,000

ppm (°C)

Operating Temperature

(°C)

Concentration Before Treatment

(ppm)

Styrene C6H6CHCH2 138 250 310

Acetaldehyde CH3CHO 35 350 240

Benzene C6H6 103 210 380

Toluene C6H5CH3 123 210 320

M-xylene C 6 H 5 ( CH 3 ) 143 210 270

Phenol C6H5OH 101 300 380

Formaldehyde HCHO 17 150 410

Acrolein CH2CHCHO 51 180 500

Acetic acid CH2COOH 26 350 590

Butyric acid C3H2COOH 66 20 370

Acetone CH3COCH3 57 350 410

Methyl ethyl ketone

CH3COC2H3 74 220 380

Methyl isobutyl ketone

CH3COC4H5 116 250 270

Ethyl acetate CH3COOC2H5 68 350 350

Butyl acetate CH3COOC4H9 108 350 480

Methyl alcohol CH3OH 21 150 830

Ethyl alcohol C2H5OH 44 350 550

Isopropyl alcohol C3H7OH 64 280 230

Butyl alcohol C4H9OH 84 260 330

Carbon monoxide CO 9 150 4,000

Methyl cello solve HOCH2CH2OCH3 55 300 110

Ethyl cello solve HOCH2CH2OC2H5 76 300 80

Butyl cello solve HOCH2CH2OC4H9 118 300 50

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3. Adsorption

Adsorption systems beds are generally used when the gas stream contains one to three

volatile organic compounds, and it is economical to recover and reuse these compounds, or

when a large number of organic compounds at low concentration, and it is necessary to pre-

concentrate these organics prior to thermal or catalytic oxidation.

The Figure-9 shows the diagram of a multi-bed adsorber system used for collection and

recovery of organic solvent compounds. The VOC-laden gas is often cooled prior to entry

into the adsorption system to improve the effectiveness of adsorption. As the gas stream

passes through the bed, the organic compounds adsorb weakly onto the surfaces of the

adsorbent (high surface area activated carbon, zeolite, or organic polymer). When the

adsorbent is approaching saturation with organic vapor, a bed is isolated from the gas stream

and desorbed. Low-pressure steam or hot N2 is often used to remove the weakly adsorbed

organics. The concentrated stream from the desorption cycle is treated to recover the

organic compounds. After desorption, the adsorption bed is returned to service, and another

bed in the system is isolated and desorbed.

An adsorption system used for pre-concentration prior to solvent recovery is shown in

following Figure. The gas stream containing the VOC passes through a rotary wheel containing

zeolite or carbon-based adsorbents. Approximately 75-90% of the wheel is in adsorption

service while the remaining portion of the adsorbent passes through an area where the

organics are desorbed into an exceedingly small, moderately hot gas stream. The

concentrated organic vapours are then transported to a thermal or catalytic oxidizer for

destruction. The preconcentration step substantially reduces the fuel requirements for the

thermal or catalytic oxidizer.

Adsorption systems are not recommended for gas streams that contain particulate matter

and/or high moisture concentrations because the particulate matter and moisture compete

with the gaseous pollutants for pore space on the adsorbent material.

Figure 9: Multi-Bed Adsorber System for Solvent Recovery

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The adsorption removal efficiency usually exceeds 95% and is often in the 98% to 99% range

for both solvent recovery and pre-concentrator type systems. In both types of units, the

removal efficiency increases with reduced gas temperatures.

Figure 10: Pre-Concentrator Type Adsorption System

The suitability of an adsorption system for a situation should be considered on a case-by-case

basis. However, as a general guideline, adsorption systems can be used for organic compounds

having a molecular weight of more than 50 and less than approximately 200. In fact, the low

molecular weight organics usually do not adsorb sufficiently. The high molecular weight compounds adsorb so strongly that is it is difficult to remove these materials from the

adsorbent during the desorption cycle. Adsorption systems can be used for a wide range of

VOC concentrations from less than 10 ppm to approximately 10,000 ppm. The upper

concentration limit is due to the potential explosion hazards when the total VOC

concentration exceeds 25% of the LEV.

4. Condensation, Refrigeration and Cryogenics

Condensation, refrigeration, and cryogenic systems remove organic vapor by making them

condense on cold surfaces. These cold conditions can be created by passing cold water

through an indirect heat exchanger, by spraying cold liquid into an open chamber with the gas

stream, by using a freon-based refrigerant to create very cold coils, or by injecting cryogenic

gases such as liquid nitrogen into the gas stream. The concentration of VOCs is reduced to

the level equivalent to the vapor pressures of the compounds at the operating temperature.

Condensation and refrigeration systems are usually used on high concentration, low gas flow

rate sources. Typical applications include gasoline loading terminals and chemical reaction

vessels.

The removal efficiencies attainable with this approach depend strongly on the outlet gas

temperature. For cold-water-based condensation systems, the outlet gas temperature is

usually in the 4 to 10°C range, and the VOC removal efficiencies are in the 90 to 99% range

depending on the vapor pressures of the specific compounds. For refrigerant and cryogenic systems, the removal efficiencies can be considerably above 99% due to the extremely low

vapor pressures of essentially all VOC compounds at the extremely low operating

temperatures of -56°C to less than -130°C.

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Condensation, refrigeration, and cryogenic systems are usually used on gas streams that

contain only VOC compounds. High particulate concentrations are rare in the types of

applications that can usually apply this type of VOC control system. However, if particulate

matter is present, it could accumulate on heat exchange surfaces and reduce heat transfer

efficiency.

5. Biological Oxidation

VOCs can be removed by forcing them to absorb into an aqueous liquid or moist media

inoculated with microorganisms that consume the dissolved and/or adsorbed organic

compounds. The control systems usually consist of an irrigated packed bed that hosts the

microorganisms (biofilters). A pre-saturator is often placed ahead of the biological system to

increase the gas stream relative humidity to more than 95%. The gas stream temperatures

are maintained at less than approximately 40 °C to avoid harming the organisms and to

prevent excessive moisture loss from the media.

Biological oxidation systems are used primarily for extremely low concentration VOC laden

streams. The VOC inlet concentrations are often less than 500 ppm and sometimes less than

100 ppm. The overall VOC destruction efficiencies are often above 95%.

Biological oxidation systems are used for a wide variety of organic compounds; however,

there are certain materials that are toxic to the organisms. In these cases, an alternative type

of VOC control system is needed.

General Applicability of VOC Control Systems

Limiting the consideration of the VOC’s control systems to gas streams having total VOC

concentrations less than approximately 25% of the LEL, it is possible to arbitrarily divide the

control system applicability into two separate groups: low VOC concentration (less than 500 ppm) and high VOC concentration. It should be noted that there is no generally accepted

distinction between low and high concentration. The low concentration group can be further

divided into three main categories depending on the number of different VOC compounds in

the gas stream and the value of recovering these compounds for re-use (Figure given below).

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Figure 11: Scheme of General Applicability of VOC Control Systems for Low

Concentration

If recovery and reuse are necessary, an adsorber system is generally used as the control

technique. Due to the low VOC concentrations, the cost of organic compound recovery can

be quite high.

The applicability of VOC control systems for high concentration systems also depends, in

part, on the number of separate VOC compounds present in the gas stream and the economic

incentives for recovery and reuse. Thermal oxidizers can be used in all cases in which recovery

and reuse are not desired or economically feasible. Catalytic oxidizers can be used in these

same situations if there are no gas stream components that would poison, mask, or foul the

catalyst. Adsorbers can also be used for this service if there are environmentally acceptable

means for disposal of the collected organics.

If recovery and reuse are desired, either adsorbers or condenser/refrigeration systems can

be used. Usually, these systems are limited to gas streams containing at most three organic

compounds due to the costs associated with separating the recovered material into individual

components. However, if the process can reuse a multi-component organic stream, both

adsorbers and condenser or refrigeration systems can be used without the costs of recovered

material purification and reprocessing.

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8 PREDICTING GROUND LEVEL CONCENTRATIONS (GLCS)

FOR THE BASELINE EMISSION SCENARIO

The primary objective of this air quality modelling is to predict the most likely possible ground-

level concentrations due to VOC emissions from pharmaceutical industries in Ankleshwar

Industrial Area under the current scenario. US-EPA approved air quality modelling tool,

AERMOD has been used to model the regional level dispersion pattern of VOCs. The

overview of air quality modelling and prediction of ground-level concentrations for the

designated pollutants is shown in the below block diagram. The basic inputs required for the

air quality modelling are emission source details (emission rate in g/m2/sec and the release

height), an hourly meteorological parameter such as wind speed, wind direction, ambient

temperature and mixing heights. The site-specific online meteorological information adopted

from December 2019 to February 2020 (ref)26 was adopted for air quality modelling exercise.

The mixing height data (Mixing Height Atlas of India27) for winter season for published by the

Indian Meteorological Department was adopted. The model output as 24-hours average

ground level concentrations (GLCs) of VOC were plotted in the form of Isopleths (also

known as iso-concentration contours).

8.1 Meteorological Data

Unlike point source and buoyant emission sources such as power plant stacks, higher flue gas

temperature stacks, VOC emission sources from industries are non-buoyant and area sources

so the dispersion of these emissions will be relatively slower and will experience higher

concentrations in the nearby areas. Concentrations with the epicentre (area source), will be

much higher as the emissions are considered to be released from multiple sources in the

facility. Although good amount of dispersion of pollutants is possible due day time, unstable and windy conditions, significant amount of pollutants will be trapped under at the near surface

area due to lower mixing heights and normal wind speed conditions during evening, night and

early morning periods. These conditions result in relatively higher GLCs. The hourly

meteorological data of the winter season (December 2019 to February 2020) considered for

modelling given in Annexure-II. The wind rose diagrams are presented below in Figure 12.

It is observed that the wind direction during winter is predominantly blew from North East

with an average wind speed of 3.31 m/s.

The mixing height data pertaining to the region was collected from the Atlas of Hourly Mixing

Height published by IMD New Delhi. The winter season 24hr average mixing height variation

for the region is varying from 50m to 1500m and is plotted and shown in Figure 13.

26 https://www.worldweatheronline.com/ankleshwar-weather-history/gujarat/in.aspx 27 Atlas of hourly mixing height and assimilative capacity of atmosphere in India, Environment Monitoring and Research

centre, IMD, New Delhi, 2008

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Figure 12: Wind Rose Diagram for Winter Season (December 2019 to February 2020)

Figure 13: Hourly Variation of Mixing Height28

8.2 Local and Regional Geographical Features

The region is majorly covered by older alluvium which is greyish in colour suggestive of

genetically related to underlying trappean formation. The surrounding landscape is

characterized by small hillocks gentle slope type terrain experiences varied wind patterns and

speeds, which can have impact on the pollutant dispersion in the atmosphere. In the current

scenario, the study area is considered to be a plain land without any undulations. Given the

geological features of the region, its influence on to VOCs ambient air quality is insignificant.

28 Atlas of hourly mixing height and assimilative capacity of atmosphere in India, Environment Monitoring and Research centre, IMD, New Delhi,

2008

0

250

500

750

1000

1250

1500

1750

0 2 4 6 8 10 12 14 16 18 20

Mix

ing

he

igh

t in

m

Time in hours

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8.3 Modelling Results-Predicted GLC for Baseline Emission Scenario (uncontrolled emissions)

Air quality modelling exercise was undertaken to establish the most likely possible ground

level concentration of total VOC’s due to the industrial activities located in the GIDC,

Ankleshwar. The predicted concentration of pollutant concerning the winter season (December 2019 to January 2020) is depicted in Figures 14. The summary of model results

is presented in Table 8. The model output files are presented in Annexure-III.

Table 8 Predicted VOC GLC - Baseline Emission Scenario

Location

2nd Highest Predicted 24-Hrs

Avg GLC (mg/m3)

Average Reported Baseline Air

Quality Data in GIDC

(mg/m3)

TLV of VOC Species (Please Refer to Table 6

(mg/m3)

Long-term Chronic Exposure

Risk Levels for Various VOC

Species (Please Refer to Table 6)

(mg/m3)

Within the core zone (industrial areas)

2.5 to 7.5 0.65 to 2.4

0.5 to 1200 0.15 to 30

Outside the industrial area (within 1km from industrial area boundary)

<2 No data

1 km to 3km from the industrial area boundary

Traces to 1 No data

Predicted GLC of VOC: Predicted 2nd highest GLC of VOC is reported to be in the order

of 7.53 mg/m3 (7530 µg/m3) within the emission source locations (industries), whereas the

GLC were found to rapidly get diluted within two to three kilometres from the industrial area

boundary. Since the emission sources are area type without any buoyant rise, entire industrial

area shall be considered as area source and core zone. The predicted GLCs outside industrial

are diluted to below detectable limits within 5 Km from the industrial boundary.

It can be noted that there is a variation between predicted GLC and actual reported baseline

data. Unlike SO2 and NOX, atmospheric half-life of VOCs due to deposition (wet and dry)

tend to be highly variable depending on photochemical characteristics of VOC compounds

and particle size distribution of PM present and oxides of nitrogen in the atmosphere. Based

on the discussions presented in the previous sections, the rate of VOC degradation in the

atmosphere can be considered as 30%. Based on these assumptions, it can be estimated that

the resultant VOC GLCs after considering natural degradation in the atmosphere could be in

the range of 1.5 to 5 mg/m3 within the industrial area and traces level to 0.5 mg/m3 outside

the industrial area.

▪ It can be inferred the modelled GLCs that there are certain level health risks

to the local people living within 1 to 2 km radius of the industrial area. This

aspect confirms that there is a need to adopt certain level of VOC emission

control strategies in the industrial facilities.

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Figure 14: Isopleths Showing Predicted GLC of VOC (Baseline Emission Scenario)

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9 ESTIMATED EMISSIONS POST CLEANER TECHNOLOGY

OPTIONS

VOC emissions from pharmaceutical industries are envisaged from dryers, reactors,

distillation systems, storage tanks and transfer operations, filters, extractors, centrifuges,

Crystallizers, and wastewater treatment facilities. The list is not intended to represent every

plant; a single list could not possibly fit all situations. It is intended to convey that for many

plants, emissions from dryers will be the largest source of VOC emissions, reactors the

second largest, and so on. For most plants, the first four listed process sources will account

for the great majority of total plant VOC emissions. However, this does not preclude the last

five from being-significant emitters.

Based on the studies conducted by IIEC29, the following cleaner production measures are

proposed to reduce the VOC emission levels from industries. According to the MoEF&CC

notification dated 9th August 2018, suitable fugitive emission control systems shall be installed

in pharmaceutical industry to minimize VOC emissions. IIEC has suggested the following VOC

emission reduction technologies for process industries to achieve about 90% reduction in

VOC emissions in progressive manner.

Pollution Prevention Methods:

▪ Adoption of green chemistry methods to replace highly volatile compounds with low

volatile and lower toxic compounds,

▪ Exploring the possibility of replacing organic solvent-based process technologies with

water-based process technologies

▪ Replacing manual solvents loading operations with automated loading operations to avoid

VOC losses,

▪ The solvent handling pumps should be provided with mechanical seals to avoid leakages

and spillage and thus reduce fugitive emissions of VOCs.

▪ The solvent recovery system shall be adopted to recovery the solvents.

▪ The use of closed loop liquid and gas collection equipment for cleaning of reactors and other equipment.

▪ Proper implementation of VOC leak detection and repair (LDAR) as per USEPA method

20 can be adopted for effective predictive maintenance and fugitive VOC emission

reduction.

Reactor Emissions Control Strategies:

▪ Reactor emissions stem from the following causes: (a) displacement of air containing VOC

during reactor charging, (b) solvent evaporation during the reaction cycle (often VOC's

29 IIEC report on VOC assessment and Control Strategies from Ankleshwar Industrial Area

ii. Characterization and assessment of volatile organic compounds (VOCs) emissions from typical industries,

WANG HaiLin1, NIE Lie2, LI Jing2, WANG YuFei1, WANG Gang1, WANG JunHui1 & HAO ZhengPing, March

2013, Chinese Science Bulletin.

iii. Environmental, Health, and Safety Guidelines for Pharmaceuticals and Biotechnology Manufacturing, IFC,

WHO. http://documents1.worldbank.org/curated/pt/151641489556364662/pdf/113495-WP-ENGLISH-

Pharmaceuticals-and-Biotechnology-Mnfg-PUBLIC.pdf

iv. Cleaner Production Guidelines in Pharmaceuticals Sector, Gujarat Cleaner production Centre,2015

v. Guidance on VOC Substitution and Reduction for Activities Covered by the VOC Solvents Emissions Directive

(Directive 1999/13/EC)

vi. USEPA – Profile of pharmaceutical industry and control technologies, https://clu-

in.org/download/toolkit/pharma.pdf

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are emitted along with reaction by-product gases which act as carriers), (c) overhead

condenser venting uncondensed VOCs during refluxing, (d) purging vaporized VOC

remaining from a solvent wash, and (e) opening reactors during a reaction cycle to take

samples, determine reaction end-points, etc.

▪ Surface condensers are the most prevalent form of control for reactor emissions. Water

is the usual cooling medium. Barometric condensers are seldom used since they

contaminate, and dilute condensed VOC. Refrigerated cooling systems also are widely

used to control lower boiling VOCs. Sometimes two condensers in series are used to

effect greater VOC removal.

▪ A brine-cooled condenser is also normally installed in series to further reduce the exit

gas temperature to 2-3OC. An additional emission reduction was achieved by putting a

conservation vent on the brine condenser vent and by regulating nitrogen pad pressure.

▪ Normally, the emissions from a single reactor would not be large enough to warrant

installing an adsorber; rather, the emissions from several reactors or several VOC sources

within the plant would be ducted together and treated by a common control system. Manifolding sources to a common control device is most easily done on process

equipment dedicated to the production of a single product.

▪ Liquid scrubbers are used to treat a variety of pharmaceutical plant polar VOC sources,

including reactor emissions. Most are low pressure drop scrubbers which handle several

sources, although special purpose units such as venturi scrubbers may control a single

vent.

▪ Vapor incinerators will be feasible control options in certain instances. They are

sometimes used in the industry to control odours from fermentation operations.

Incineration technology has also been applied to VOC emissions from reactors. VOC

emissions from reactors, storage tanks, evaporators, and distillation apparatus can be

collected in a single ventilation header and fed to an incinerator.

Distillation Units Emissions Control Strategies:

▪ Volatile organic compounds may be emitted from the distillation condensers used to

recover evaporated solvents. The magnitude of emissions depends on the operating

parameters of the condenser, the type and quantity of organic being condensed, and the

quantity of inert entrained in the organic.

▪ Emissions from distillation condensers can be controlled through use of after-condensers,

scrubbers, and carbon adsorbers.

▪ The main condenser efficiency can be increased by lowering the coolant temperature or

can be augmented by installing another condenser in series. The second condenser would

utilize a circulating fluid cooler than that for the main condenser.

▪ No examples of the use of incinerators were found, although incineration may be feasible

in some instances. This may be due to higher moisture content and lower VOC

concentration in the vents.

Solvent Extraction Process Emissions Control Strategies:

▪ Emissions from batch extraction stem mainly from displacement' of vapor while pumping

solvent into the extractor and while purging or cleaning the vessel after extraction. Some

VOC also may be emitted while the liquids are being agitated. Column extractors may emit VOC while the column is being filled, during extraction, or when it is emptied after

extraction. Emissions not only occur at the extractor itself, but also through associated

surge tanks. These tanks may emit significant amounts of solvent due to working losses as

the tank is repeatedly filled and emptied during the extraction process.

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▪ VOC extraction and condensation facilities using brine and chilled water condensers can

be adopted to control VOC emissions. Effectiveness of carbon adoption systems shall be

verified on case to case basis for solvent extraction unit VOC control operations. In case

VOC emissions are high the vents can be treated in incinerator.

Centrifuge Emissions Control Strategies:

▪ A large potential source is open type centrifuges which permit large quantities of air to

contact and evaporate solvents. The industry trend is toward completely enclosed

centrifuges. In fact, inert gas blanket is used, it will be a transport vehicle for solvent vapor.

This vapour may be vented directly from the centrifuge or from a process tank receiving

the mother liquor. However, this emission source is likely to be small because the inert

gas flow is generally exceedingly small.

▪ VOC emission methods suggested for source emission sources will work for controlling

emissions from centrifuge emissions.

Crystallization Units Emissions Control Strategies:

▪ If crystallization is done mainly through cooling of a solution, there will be little VOC

emission. In fact, the equipment may be completely enclosed. However, when the

crystallization is done by solvent evaporation, there is greater potential for emissions.

Emissions will be significant if evaporated solvent is vented directly to the atmosphere.

More likely the solvent will be passed through a condenser or from a vacuum jet (if the

crystallization is done under vacuum).

▪ VOC emission methods suggested for source emission sources will work for controlling

emissions from centrifuge emissions.

Dryer Emissions Control Strategies:

▪ Dryers are used to remove most of the remaining solvent in a centrifuged or filtered

product. This is done by evaporating solvent until an acceptable level of "dryness" is

reached. Evaporation is accelerated by applying heat and/or vacuum to the solvent laden

product or by blowing warm air around or through it. Dryers are potentially large

emission sources. Emission rates vary during a drying cycle and are greatest at the

beginning of the cycle and least at the end of the cycle. Drying cycle times can range from

several hours to several days. Emissions from air dryers are normally greater than those

from vacuum dryers, mainly because air dryer emissions are dilute and more difficult to

control.

▪ VOC emission methods suggested for source emission sources will work for controlling

emissions from centrifuge emissions. Condensers and carbon adsorption units are

commonly recommended VOC control technologies. Wet scrubbers have also been used

to control many plant sources, including dryers. They can also remove particulates

generated during drying. Although vapor incinerators may be a viable control option,

varying VOC flows and gas volumes to the incinerator may present operating problems.

Solvent Storage Vessels and Tanks Emissions Control Strategies:

▪ The vapor space in a tank will in tine become saturated with the stored organics. During

tank filling, vapours are displaced causing an emission or a "working loss." Some vapours also are displaced as the temperature of the stored VOC rises, such as from solar

radiation, or as atmospheric pressure drops; these are "breathing losses." The amount of

loss depends on several factors: type of VOC stored, size of tank, type of tank, diurnal

temperature changes, and tank throughput. Pharmaceutical plant process equipment and

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storage tanks are much smaller and, for the most part, is not subjected to the elevated

temperatures and pressures often used in refineries and chemical plants.

▪ Emissions from storage or process holding vessels may be reduced with varying efficiency

through use of vapor balance systems, conservation vents, vent condensers, pressurized

tanks, and carbon adsorption. Good housekeeping practices can also assist in reducing

emissions. For example, operating procedures should require that covers and ports be

closed when a tank contains solvents or is being cleaned and dried with solvents. Covers

should be open for only short periods when solid materials are charged, or samples taken.

▪ Conservation vents are devices-that seal a tank vent against small pressure changes.

During the day, a conservation vent prevents tank emissions due to vapor warming and

expansion until the internal tank pressure exceeds the vent set pressure. Similarly, at night

the vapor inside a tank cools causing a decrease in internal tank pressure. Outside air is

prevented from entering the tank until the vacuum setting of the vent is exceeded.

Conservation vents will provide small reductions in breathing losses.

▪ Fixed roof tank emissions may be controlled by use of refrigerated vent condensers. Condensers should be sized to handle the maximum vapor rate expected at any given

time, which normally occurs during tank filling. Condensers also may have to be designed

to handle freezing of moisture. The moisture gets into the tank along with ambient air

during breathing. This problem can be solved by defrosting the condenser and separating

the recovered water-VOC mixture. Vent condenser removal efficiency depends on the

vapor concentration of VOC in the vapor space and on the refrigeration temperature.

▪ Floating roof tanks will help to reduce the VOC emissions from tanks. These are widely

used in refineries and petrochemical plants; however, their applicability to pharmaceutical

plant storage tanks is less certain. This control option is usually reasonable only for large

vertical solvent storage tanks with size more than 70 m3.

▪ Another alternative for reducing storage losses is utilizing pressurized storage tanks.

Pressure tanks are designed to withstand the internal pressure built up through rising

stored VOC temperatures during the daytime, thereby eliminating breathing losses. A

practical pressure tank system would use an inert gas to occupy the vapor space during

emptying; this gas, containing VOC, would have to be purged during refilling operations.

Thus, working losses will not be eliminated. Because of their high cost, pressure tanks are

feasible only for storage of highly volatile VOC.

▪ Carbon adsorbers have been used to control many different process emission sources,

including process tanks in pharmaceutical plants Control of similar emission sources also

can be achieved through scrubbing. One problem is that the systems handle all input VOC

and the recovered mixed solvents have little value; therefore, recovery would be difficult.

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10 PREDICTED GLC’S – POST ENCON MEASURES AND

CLEAN TECHNOLOGY SCENARIO

Given the above ENCON measures and cleaner technologies options are implemented, above

90% reduction of VOC emissions is envisaged. Hence, for the study purpose, the TVOC

emission load per unit or facility shall be reduced from current baseline scenario of 1.0 ton

per day per industry to 0.1 tons per day per industry. The predicted concentrations of the

TVOC before and after implementation ENCON measures are presented in Figure 15 and

the summary of model results is given in Table 9 and Table 10. The model input and output

files are attached as Annexure-IV.

It can be noted the predicted GLCs that the ambient VOC levels will be maintained less than

0.5 mg/m3 within the industrial area and these levels will be further diluted to trace levels

within 1 to 2km from the boundary of industrial area. Hence by adoption the suggested VOC

control measures, the overall background VOC concentrations can be maintained within the

threshold long-term chronic exposure values suggested by USEPA and other international

agencies.

Table 9 Predicted GLC for Baseline Emission Scenario Vs. Post ENCON Scenario

(Without Photochemical reaction and Natural Atmospheric Degradation of VOC)

Location

Baseline Emission Scenario

(2nd Highest Predicted 24-Hrs Avg GLC)

(mg/m3)

Post Encon and Cleaner

Technologies Implementation

(2nd Highest Predicted 24-Hrs Avg GLC)

(mg/m3)

Average Reported

Baseline Air Quality Data in

GIDC (mg/m3)

TLV of VOC Species

(Please Refer to Table 6)

(mg/m3)

Long-Term Chronic

Exposure Risk Levels for

Various VOC Species

(Please Refer to Table 6)

(mg/m3)

Within the core zone (industrial areas)

2.5 to 7.5 0.25 to 0.75 0.65 to 2.4

0.5 to 1200 0.15 to 30

Outside the industrial area (within 1km from industrial area boundary)

<2 <0.2 No data

1 km to 3km from the industrial area boundary

Traces to 1 Traces to 0.1 No data

Table 10 Predicted GLC for Baseline Emission Scenario Vs. Post ENCON Scenario

(Considering VOC Decay - Photochemical reaction and Natural Atmospheric Degradation of VOC)

Location

Baseline Emission

Scenario with Atmospheric Scavenging

Effect (2nd Highest

Predicted 24-

Post Encon & Cleaner

Technologies Implementation

with Atmospheric Scavenging

Effect

Average Reported

Baseline Air Quality Data in

GIDC (mg/m3)

TLV of VOC Species

(Please Refer to Table 6)

(mg/m3)

Long-Term Chronic

Exposure Risk Levels for

Various VOC Species

(Please Refer to Table 6)

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Hrs Avg GLC) (mg/m3)

(2nd Highest Predicted 24-Hrs Avg GLC)

(mg/m3)

(mg/m3)

Within the core zone (industrial areas)

1.75 to 5.25 0.17 to 0.52 0.65 to 2.4

0.5 to 1200 0.15 to 30

Outside the industrial area (within 1km from industrial area boundary)

<1.4 <0.15 No data

1 km to 3km from the industrial area boundary

Traces to 0.7 Traces to 0.07 No data

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Uncontrolled Emission Scenario -Predicted GLC of TVOC Envisaged Reduced Emission Scenario-Predicted GLC of TVOC

Figure 15: Isopleths Showing Predicted GLC of TVOC

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11 IMPACT OF VOC AND OTHER POLLUTANTS ON HUMAN

HEALTH

In India, CPCB under section 16 (2) (h) of Air Pollution Control Act 1981 has notified

following Ambient Air Quality Standards (AAQS) based on health effects of pollutants:

Table 11: Revised national Ambient Air Quality Standards (2009)

S. N. Pollutants Time Weighted Average

Concentration in Ambient Air Methods of Measurement

Industrial, Residential, Rural, and

other Areas

Ecologically Sensitive Area

(notified by Central

Government)

1 Sulphur Dioxide

(SO2), µg/m

3

Annual* 50 20 1. Improved West and Gaeke 2. Ultraviolet Fluorescence 24 Hours** 80 80

2 Nitrogen Dioxide

(NO2 ), µg/m

3

Annual* 40 30 1. Modified Jacob & Hochheiser (Na-Arsenite) 2. Chemiluminescence

24 Hours** 80 80

3 Particulate Matter (Size <10µm) or

PM10

µg/m3

Annual* 60 60 Gravimetric TOEM Beta attenuation

24 Hours** 100 100

4 Particulate Matter (Size <2.5 µm)

or PM2.5

µg/m3

Annual* 40 40 Gravimetric TOEM Beta attenuation

24 Hours ** 60 60

5 Ozone (O3),

µg/m3

8 hours** 100 100 UV photometric Chemiluminescence Chemical Method

1 hours ** 180 180

6 Lead (Pb),

µg/m3

Annual * 0.50 0.50 1. AAS/ICP Method after sampling using EPM 2000 or equivalent filter paper 2. ED-XRF using Teflon filter

24 Hour** 1.0 1.0

7 Carbon Monoxide (CO),

mg/m3

8 Hours ** 02 02 Non-dispersive Infra-Red (NDIR) Spectroscopy 1 Hour** 04 04

8 Ammonia (NH3),

µg/m3

Annual* 100 100 Chemiluminescence Indophenol blue method 24 Hour** 400 400

9 Benzene (C6H

6)

, µg/m3

Annual * 05 05 Gas chromatography based continuous analyzer Adsorption and Desorption followed by GC analysis

10 Benzo(a)Pyrene (BaP)- particulate phase only,

ng/m3

Annual* 01 01 Solvent extraction followed by HPLC/GC analysis

11 Arsenic (As),

ng/m3

Annual* 06 06 AAS/ICP method after sampling on EPM 2000 or equivalent filter paper

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12 Nickel (Ni),

ng/m3

Annual* 20 20 AAS/ICP method after sampling on EPM 2000 or equivalent filter paper

* Annual Arithmetic mean of minimum 104 measurements in a year at a particular site taken twice a week 24

hourly at uniform interval.

** 24 hourly 08 hourly or 01 hourly monitored values, as applicable shall be complied with 98% of the time in

a year. 2% of the time, they may exceed the limits but not on two consecutive days of monitoring.

NOTE: Whenever and wherever monitoring results on two consecutive days of monitoring exceed the limits

specified above for the respective category, it shall be considered adequate reason to institute regular or

continuous monitoring and further investigation

This implies that if air quality is within the prescribed limit of notified standards then there

will not be any significant impact of pollutants on human health. In India, so far, no VOC

standards have been prescribed by CPCB / MoEF&CC under Air Act / E(P) Act, only standards

for benzene is notified. However, ambient air quality guidelines for VOC of other countries

are compiled and attached at Annexure-VI.

In Table 3 & 4 VOC data in ambient air as reported by GPCB in Ankleshwar area are given.

The average value of VOC is ranging from 650 μg/m3 to 2400 μg/m3.

Based on emission inventory data of Ankleshwar, air quality modelling has been done using

AERMOD model and second highest predicted 24 hourly average values of VOCs are given

in table 5 as 2.5 mg/m3 to 7.5 mg/m3 (2500 μg/m3 to 7500 μg/m3) within the core zones of

industrial areas. In ambient air i.e. outside industrial core zone, it is less than 2 mg/m3 (less

than 2000 μg/m3).

If the industries located in Ankleshwar adopts the various clean technologies as control

options for VOC emission control as given in the report then as per air quality modelling

exercise the second highest 24 hour predicted GLC (considering also VOC decay due to

natural atmospheric degradation of VOC) are given in Table 9. The shows that second

highest predicted value of VOC within the core zone is 0.17 mg/m3 to 0.52 mg/m3 (170 μg/m3

to 520 μg/m3) and at ambient air (outside the industrial area) is less than 0.15 mg/m3 (less than

150 μg/m3) within 1 km and between 1 to 3 km from the industrial area it is 70 μg/m3.

Therefore, it may be concluded that if the industries located in Ankleshwar industrial area

adopts the clean technology options / ENCON measures then the resultant impact of VOC

at ambient air shall be less than international VOC guidelines values. If the values are within

the guideline values, then impact of VOC on the health of the population at Ankleshwar area

will be bare minimal.

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Annexure-I

Various VOC Control Technologies

Climate and Clean Air Coalition (CCAC)

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Chilled Water Solvent Vapor Condensation System (Tranter)30

Solvent Vapor Adsorption and Recovery Systems (GCE)31

30 https://www.tranter.com/wp-content/uploads/2018/02/vapour-condensers.pdf 31 http://www.gcesystems.com/carbon-adsorbers.html

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Thermal Oxidation of VOCs (Condorchem Envitech)32

Catalytic Oxidation of VOCs

32 https://condorchem.com/files/catalogos/Air%20Treatment%20-%20ONLINE.pdf

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Annexure-II

Emission Inventory

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Detailed VOC Emissions Considered for the Study

S. N. Name of Industry Geographical

Latitude Geographical

Longitude Area (Sq.m)

Uncontrolled Scenario

Estimated Factor Estimated (g/m2/sec)

Controlled Scenario-Emission Factors

(g/m2/sec)

Remarks

1 Apex Healthcare Ltd. 296718.68 m E 2391783.30 m N 779.31115 0.0149 0.00149

Typical solvent discharge rate assumed for various industries is considered as 1 TPD (11.6 g/s)

2 Cadila Healthcare Ltd & Cadila Pharmaceuticals Ltd 294733.61 m E 2392781.87 m N 29028.6803 0.0004 0.00004

3 Zydus Cadila Unit 2 293606.51 m E 2392009.03 m N 7682.82495 0.0015 0.00015

4 Dynemic Products Ltd-1 296335.18 m E 2391767.55 m N 1131.4086 0.0103 0.00103

5 Dynemic Products Ltd-2 297515.45 m E 2391940.30 m N 4486.1923 0.0026 0.00026

6 Intas Pharmaceuticals Ltd. 295754.18 m E 2392226.97 m N 4016.67005 0.0029 0.00029

7 Shree Mahadev Intermediates 295450.91 m E 2391415.75 m N 652.06165 0.0178 0.00178

8 Pragna Dye Chem Pvt Ltd. 295160.65 m E 2391867.97 m N 653 0.0178 0.00178

9 Rajesh Pharmaceuticals 295611.03 m E 2391724.42 m N 688.76325 0.0168 0.00168

10 Shree Sulphurics Pvt Ltd 295424.66 m E 2392722.90 m N 2941 0.0039 0.00039

11 Suyog Dye Chemie Pvt Ltd 295520.90 m E 2392011.66 m N 1038 0.011175 0.00112

12 UPL Ltd, Unit-3 295856.49 m E 2392683.27 m N 19587.4482 0.0006 0.00006

13 Skylark Pharmaceuticals Pvt. Ltd. 297641.60 m E 2392050.62 m N 790.22765 0.0147 0.00147

14 Prudence Pharma Chem 297032.00 m E 2391538.00 m N 1406.08045 0.0082 0.00082

15 Riddhi Pharma 295681.25 m E 2392173.44 m N 669.66205 0.0173 0.00173

16 Ratnamani Bio-chemicals & Pharmaceuticals Pvt Ltd 297597.50 m E 2392712.59 m N 1493.57805 0.0078 0.00078

17 Vihita Chem Pvt Ltd. (Unit 1) 294961.00 m E 2392703.00 m N 330.1882 0.0351 0.00351

18 Vihita Chem Pvt Ltd. (Unit 2) 296162.00 m E 2391776.00 m N 1471.8277 0.0079 0.00079

19 Tatva Chintan Pharma Chem Pvt Ltd. 294697.00 m E 2391868.00 m N 1413.45145 0.0082 0.00082

20 Norris Medicines Ltd. 294645.00 m E 2391372.00 m N 2711.9841 0.0043 0.00043

21 Hema Pharmaceuticals Pvt Ltd. 297520.00 m E 2392366.00 m N 1923.26305 0.0060 0.00060

22 Sanofi India Limited 297170.00 m E 2392324.00 m N 2924.473 0.0040 0.00040

23 Sun Pharmaceuticals India Limited 294106.32 m E 2391388.61 m N 1890.9392 0.0061 0.00061

24 Ronak Chemicals 296781.40 m E 2391776.30 m N 648.18635 0.0179 0.00179

25 Shree Ganesh Remedies Private Limited 297004.69 m E 2392594.27 m N 1121.91455 0.0103 0.00103

26 ZCL Chemical Limited 296375.05 m E 2392778.66 m N 2566.40385 0.0045 0.00045

27 Kenoor Organics Private Limited 296567.58 m E 2391165.15 m N 1703.40705 0.0068 0.00068

28 Basic Science Life Science Private Limited 293951.28 m E 2391538.87 m N 816.60625 0.0142 0.00142

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S. N. Name of Industry Geographical

Latitude Geographical

Longitude Area (Sq.m)

Uncontrolled Scenario

Estimated Factor Estimated (g/m2/sec)

Controlled Scenario-Emission Factors

(g/m2/sec)

Remarks

29 IPCA Laboratories 296495.19 m E 2391971.08 m N 3729.94655 0.0031 0.00031

30 Link Pharma Chem Ltd 294196.92 m E 2392482.72 m N 15281.665 0.0008 0.00008

31 Euphoric Pharmaceuticals Private Limited 294363.54 m E 2391330.23 m N 11960.0871 0.0010 0.00010

32 Samrat Pharma Chem Limited 296590.89 m E 2392614.56 m N 811.5969 0.0143 0.00143

47 | P a g e

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Annexure-III

Uncontrolled Emission Scenario - Model Input and

Output

48 | P a g e

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TVOC – Baseline Uncontrolled Emissions

*** THE SUMMARY OF MODEL INPUT AREAPLOY SOURCES DATA***

Source ID EMISSION RATE

(GRAMS/SEC* METER**2 X (METERS) Y (METERS)

BASE ELEV. (METERS)

RELEASE HEIGHT

(METERS)

NUMBER OF VERTS.

PAREA1 7.59E-04 294256 2392711 6 6 4

PAREA2 4.00E-04 294748.2 2392884 6 6 6

PAREA3 3.51E-02 294961 2392682 6 6 4

PAREA4 1.51E-03 293796 2392040 6 6 9

PAREA5 8.21E-03 294692 2391987 6 6 4

PAREA6 1.42E-02 293980 2391592 6 6 7

PAREA7 9.70E-04 294396.2 2391179 6 6 4

PAREA8 4.28E-03 294645 2391374 6 6 4

PAREA9 5.92E-04 295866.5 2392724 6 6 4

PAREA10 4.52E-03 296260 2392805 6 6 4

PAREA11 2.89E-03 295761.9 2392244 6 6 6

PAREA12 1.73E-02 295678 2392147 6 6 4

PAREA13 1.68E-02 295633 2391731 6 6 4

PAREA14 1.78E-02 295458 2391423 6 6 4

PAREA15 1.43E-02 296586 2392620 6 6 4

PAREA16 1.03E-02 297007 2392601 6 6 4

PAREA17 3.97E-03 297182 2392343 6 6 11

PAREA18 3.11E-03 296484 2391914 6 6 6

PAREA19 1.03E-02 296335 2391783 6 6 4

PAREA20 7.88E-03 296166 2391776 6 6 8

PAREA21 6.81E-03 296565 2391185 6 6 4

PAREA22 6.13E-03 296722 2391580 6 6 4

PAREA23 1.49E-02 296724.7 2391796 6 6 4

PAREA24 2.59E-03 297521 2391961 6 6 6

PAREA25 1.47E-02 297675 2392076 6 6 6

PAREA26 6.03E-03 297591 2392433 6 6 4

PAREA27 8.25E-03 297034 2391546 6 6 12

PAREA28 1.79E-02 296785.7 2391817 6 6 4

PAREA29 7.77E-03 297616.6 2392726 6 6 4

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PAREA30 4.03E-03 295447.4 2392736 6 6 4

PAREA31 1.78E-02 295179 2391871 6 6 4

PAREA32 1.17E-02 295560.2 2392023 6 6 4

*** THE SUMMARY OF HIGHEST 24-HR RESULTS ***

Uncontrolled VOC Emission Scenario

GROUP ID RANK HIGHEST VALUES AVERAGE CONC MILLI GRAM/M**3

DATE (YYMMDDHH)

RECEPTOR (XR, YR, ZELEV, ZHILL, ZFLAG)

TYPE (GRIDCART

NETWORK GRID-ID

ALL

1ST HIGH VALUE IS 8.69932 19122424: (295413.00, 2392798.00, 6.00, 6.00, 0.00) GC UCART1

2ND HIGH VALUE IS 7.53325 20010724: (295413.00, 2392798.00, 6.00, 6.00, 0.00) GC UCART1

3RD HIGH VALUE IS 7.39628 20010724: (296163.00, 2391798.00, 6.00, 6.00, 0.00) GC UCART1

4TH HIGH VALUE IS 7.26532 19120424: (296163.00, 2391798.00, 6.00, 6.00, 0.00) GC UCART1

5TH HIGH VALUE IS 6.38694 19120324: (296163.00, 2391798.00, 6.00, 6.00, 0.00) GC UCART1

6TH HIGH VALUE IS 6.28496 19121324: (296163.00, 2391798.00, 6.00, 6.00, 0.00) GC UCART1

7TH HIGH VALUE IS 6.27971 20010124: (296163.00, 2391798.00, 6.00, 6.00, 0.00) GC UCART1

8TH HIGH VALUE IS 6.27971 20021724: (296163.00, 2391798.00, 6.00, 6.00, 0.00) GC UCART1

9TH HIGH VALUE IS 4.80576 20011224: (296163.00, 2391798.00, 6.00, 6.00, 0.00) GC UCART1

10TH HIGH VALUE IS 4.53473 19120524: (296163.00, 2391798.00, 6.00, 6.00, 0.00) GC UCART1

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Annexure-IV

Reduced Envisaged Emission Scenario-

Model Input and Output

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TVOC – Controlled Emission Scenario

*** THE SUMMARY OF MODEL INPUT AREAPLOY SOURCES DATA***

Source ID EMISSION RATE

(GRAMS/SEC* METER**2 X (METERS) Y (METERS)

BASE ELEV. (METERS)

RELEASE HEIGHT

(METERS)

NUMBER OF VERTS.

PAREA1 7.59E-05 294256 2392711 6 6 4

PAREA2 4.00E-05 294748.2 2392884 6 6 6

PAREA3 3.51E-03 294961 2392682 6 6 4

PAREA4 1.51E-04 293796 2392040 6 6 9

PAREA5 8.21E-04 294692 2391987 6 6 4

PAREA6 1.42E-03 293980 2391592 6 6 7

PAREA7 9.70E-05 294396.2 2391179 6 6 4

PAREA8 4.28E-04 294645 2391374 6 6 4

PAREA9 5.92E-05 295866.5 2392724 6 6 4

PAREA10 4.52E-04 296260 2392805 6 6 4

PAREA11 2.89E-04 295761.9 2392244 6 6 6

PAREA12 1.73E-03 295678 2392147 6 6 4

PAREA13 1.68E-04 295633 2391731 6 6 4

PAREA14 1.78E-03 295458 2391423 6 6 4

PAREA15 1.43E-03 296586 2392620 6 6 4

PAREA16 1.03E-04 297007 2392601 6 6 4

PAREA17 3.97E-04 297182 2392343 6 6 11

PAREA18 3.11E-04 296484 2391914 6 6 6

PAREA19 1.03E-03 296335 2391783 6 6 4

PAREA20 7.88E-04 296166 2391776 6 6 8

PAREA21 6.81E-04 296565 2391185 6 6 4

PAREA22 6.13E-04 296722 2391580 6 6 4

PAREA23 1.49E-03 296724.7 2391796 6 6 4

PAREA24 2.59E-04 297521 2391961 6 6 6

PAREA25 1.47E-03 297675 2392076 6 6 6

PAREA26 6.03E-04 297591 2392433 6 6 4

PAREA27 8.25E-04 297034 2391546 6 6 12

PAREA28 1.79E-03 296785.7 2391817 6 6 4

PAREA29 7.77E-04 297616.6 2392726 6 6 4

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Source ID EMISSION RATE

(GRAMS/SEC* METER**2 X (METERS) Y (METERS)

BASE ELEV. (METERS)

RELEASE HEIGHT

(METERS)

NUMBER OF VERTS.

PAREA30 4.03E-04 295447.4 2392736 6 6 4

PAREA31 1.78E-03 295179 2391871 6 6 4

PAREA32 1.17E-03 295560.2 2392023 6 6 4

*** THE SUMMARY OF HIGHEST 24-HR RESULTS ***

Controlled Emissions Scenario

GROUP ID RANK HIGHEST VALUES AVERAGE CONC MILLI GRAM/M**3

DATE (YYMMDDHH)

RECEPTOR (XR, YR, ZELEV, ZHILL, ZFLAG)

TYPE (GRIDCART

NETWORK GRID-ID

ALL

1ST HIGH VALUE IS 0.869932 19122424: (295413.00, 2392798.00, 6.00, 6.00, 0.00) GC UCART1

2ND HIGH VALUE IS 0.753325 20010724: (295413.00, 2392798.00, 6.00, 6.00, 0.00) GC UCART1

3RD HIGH VALUE IS 0.739628 20010724: (296163.00, 2391798.00, 6.00, 6.00, 0.00) GC UCART1

4TH HIGH VALUE IS 0.726532 19120424: (296163.00, 2391798.00, 6.00, 6.00, 0.00) GC UCART1

5TH HIGH VALUE IS 0.638694 19120324: (296163.00, 2391798.00, 6.00, 6.00, 0.00) GC UCART1

6TH HIGH VALUE IS 0.628496 19121324: (296163.00, 2391798.00, 6.00, 6.00, 0.00) GC UCART1

7TH HIGH VALUE IS 0.627971 20010124: (296163.00, 2391798.00, 6.00, 6.00, 0.00) GC UCART1

8TH HIGH VALUE IS 0.627971 20021724: (296163.00, 2391798.00, 6.00, 6.00, 0.00) GC UCART1

9TH HIGH VALUE IS 0.480576 20011224: (296163.00, 2391798.00, 6.00, 6.00, 0.00) GC UCART1

10TH HIGH VALUE IS 0.453473 19120524: (296163.00, 2391798.00, 6.00, 6.00, 0.00) GC UCART1

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Annexure-V

Control of VOC in Chemical Industry

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Type of Oxidizers

The most reliable and acceptable means of destroying VOCs, HAPs, and odours available

today is thermal oxidation. Oxidation, typically, is an energy intensive technology wherein a

polluted air stream is heated to a high temperature setpoint that is predetermined by the

nature of the pollutant. The simplest form of an oxidizer is a direct-fired burner that elevates

the air temperature from incoming levels to combustion levels. Because of the high cost of

heating the process exhaust stream to the required oxidation temperature most thermal

oxidizers incorporate some type of primary heat recovery. Primary heat recovery transfers

energy from the hot clean gas stream exiting the oxidizer into the incoming polluted gas

stream. This reduces the amount of additional energy required to achieve the oxidation

temperatures. There are two widely used methods of recovering this thermal energy,

recuperative and regenerative.

When a catalyst is used to enhance the operation of a thermal oxidizer, the system is generally

referred to as a catalytic oxidizer.

Oxidizer Selection Criteria

To select which type of oxidizer is most advantageous for a specific application, the following

information must be known:

▪ Process exhaust flow rate

▪ Process exhaust stream temperature

▪ Pollutant concentration levels

▪ Type of Pollutant

▪ Particulate Emission levels

▪ Required pollutant control efficiency

In many cases the most advantageous type of oxidizer can be selected based on the following

general guidelines. In other cases, two or more oxidizer types may be practical, and a detailed

economic analysis based upon the specific costs of fuel and electricity is required to determine

the best selection.

Direct Fired Thermal Oxidizers (DFTOS)

The simplest Thermal Oxidizer is a Direct Fired unit (sometimes referred to as an After-

Burner) that employs no heat recovery. In this system a fuel burner (mostly natural gas fi red)

raises the temperature of the pollutant-laden air to a predetermined combustion temperature.

To achieve a high level of hydrocarbon destruction, the heated air is kept at the combustion

chamber setpoint for a certain minimum time, called the residence or dwell time. In addition

to temperature and dwell time, turbulence also plays an important role in making oxygen and

hydrocarbon molecules to interact more vigorously. Since DFTOs employ no heat recovery,

they are most often applied to extremely low volume air streams, usually with extremely high

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concentrations of VOCs, HAPs, and other pollutants. These oxidizers are characterized by

specialized burners to ensure mixing of combustion air and low volume, high concentration

inert airstreams, which are often injected directly into the burner ports or directly in the

flame cone via lances. This minimizes the risk of explosion and takes maximum advantage of

the enriched fuel value of high VOC content exhaust streams.

Recuperative Oxidizers

A Recuperative Oxidizer is a Direct Fired unit that employs integral primary heat recovery.

To minimize the energy consumption of the oxidizer, the hot air exiting the combustion

chamber is passed over an air-to-air heat exchanger. The heat recovered is used to preheat

the incoming pollutant laden air. The primary heat exchangers are usually supplied as either a

plate-type or a shell and tube type heat exchanger. These heat exchangers can be designed

for various heat transfer efficiencies, but the nominal maximum is 70%. Thus, by the addition

of a heat exchanger, the net heat load on the burner can be reduced by up to 70% of that

required in a DFTO. The addition of the heat exchanger, because it is made of heat corrosion resistant alloy, substantially increases the cost of the oxidizer system. Also, the fan for moving

the polluted gas through the oxidizer must be more powerful to overcome the additional

pressure drop of the heat exchanger. In most cases, the savings in fuel will more than offset

the additional up-front cost within the first two years of operation, however, even with 70%

heat recovery, recuperative oxidizers can be expensive to operate, especially if the airflow is

large and has dilute concentration levels, unless additional secondary heat recovery can be

applied to the customer’s process.

Regenerative Thermal Oxidizers (RTOs)

A Regenerative Oxidizer is also a Direct Fired oxidizer that employs integral primary heat

recovery. However, the RTO operates is periodic, repetitive cycle rather than a steady state

mode. Instead of conventional heat exchangers, which indirectly transfer heat from hot side

to cold side across the exchanger walls, RTOs use a store and release mechanism. The nature

of a RTOs heat recovery process requires it to have at least two beds of appropriate heat

recovery media. In many applications, the additional step of purging a bed before reversing

the flow through it from inlet to exhaust is necessary to maintain extremely high destruction

efficiencies. This purge step creates the requirement for an additional (or odd number)

chamber making the RTO more complicated and more expensive than a recuperative

oxidizer. RTO systems can utilize more than two beds (operating in parallel) to be capable of

handling larger air volumes. The primary advantage of an RTO is lower operating costs due

to high heat recovery and low fuel consumption. Depending on the mass of media included in

an RTO, heat recoveries of up to 95% are common. Because of their capability for high heat

recovery, RTOs are often operated in an “auto-thermal” or self-sustaining mode, where the

heat content of the VOCs being oxidized is enough to sustain the combustion chamber

temperature at setpoint, requiring no external fuel input.

Industries Served by Oxidizers:

▪ Automotive

▪ Surface Finishing/Coating

▪ Semiconductor ▪ Wood Panel Manufacturing

▪ Chemical Manufacturing

▪ Petrochemical

▪ Pharmaceutical

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▪ Aerospace

▪ Glass Manufacturing

▪ Foundry

▪ Styrene

▪ Wastewater Treatment

▪ Tank Farms

▪ Printing & Flexography

▪ Wallpaper

▪ Flooring

▪ Solid Waste Treatment

▪ Fibre Manufacturing

▪ Pulp and Paper

▪ Rendering

▪ Corn Milling

Application Selection Chart

Choosing the right equipment for VOC control applications depends primarily on the exhaust

air volume and the average concentration of VOCs. The chart displayed provides general

guidelines for choosing equipment to fi t applications.

Example of Commercial Technologies

Classification of Technology: Air Pollution (Add – on Control)

Name of Technology/Technique: Catalytic incinerator

Applied: Chemical industries, painting, printing, rubber, and casting factories

Description: This equipment catches malodorous gases with the platinum catalyst and

decomposes them by oxidation to harmless and odourless carbonic acid gas and water.

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Compared with the direct combustion type, this equipment can treat malodorous gases at

lower temperature, running et lower cost. In case of low malodorous substances

concentration, it is advisable to install Honeycomb Type Deodorization Equipment as pre-

treatment equipment to save energy.

Exhaust Gasses are Pre-Heated in Heat Exchanger

Exhaust gasses are heated to the predesigned temperature by the auxiliary heater (generally

to 300 °C). Electricity, city gas, LPG, kerosene oil, etc. can be selected as heat source. When

the polluted gas passes through the catalyst-bed, malodorous substances contained are

decomposed by oxidation. Purified gas is exhausted after passing through the heat exchanger

where heat is exchanged between purified gas and treating gas. In combination with a steam

heater: In case electricity is used as heat source for the auxiliary heater, it is advisable to use

a steam heater together with it to reduce electric consumption.

Advantages: Low running cost: Compared with the direct combustion system, this

equipment can treat malodorous substance at low temperature. Fuel costs can be reduced by 1/3. Low boiling organic solvents and wider ranges of malodorous substances can be purified.

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Examples of Commercial Catalysts

Engelhard Catalysts

Carbon Monoxide, VOCs, or HAPs Control VOCat® PTA.

This noble metals-based catalyst family is designed to abate pollutants generated during the

process of purification of terephthalic acid, a key raw material to produce

polyethylenterephthalate (PET). The volatile organic compound (VOC) most difficult to abate

during this process is methyl bromide. These catalysts were specifically, but not exclusively,

designed.

VOCat® 350 HC and 360 PFC.

These noble metals based two catalysts were specifically designed to selectively abate both

chlorinated and fluorinated VOCs (including dioxins and furans) producing the relevant

halogenated acids, easy to be scrubbed during a further step. Amount of generated chlorine

and fluorine, very nasty to be eliminated, is produced at lowest possible level.

VOCat® 310 ST S and ST H

These noble metals based; two catalysts provide effective VOC abatement in an environment

rich in sulfur.

VOCat® RCO

This is a noble metal-based catalyst family, designed to either retrofit or build up new

regenerative oxidizers. It is useful to treat large exhaust flows with a VOC total amount of

more than 1 g/Nm3. Those catalysts substantially lower operating costs of regenerative

oxidizers with a quick payback period (often less than 1 year).

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Zeolite Rotor Concentrators

This product family is aimed to optimize economics of either thermal or catalytic oxidizers

(also regenerative ones). It is economically convenient to treat exhaust flows larger than 20–

30,000 Nm3/h and with a VOC total amount of less than 1–2 g/Nm3. These concentrators

safely and effectively adsorb and desorb VOC in such a way that 85–95% of the original flow

rate can directly proceed to the stack, whereas a much lower flow rate, rich of VOCs, is sent

to the oxidizer. The latter can, therefore, work with much lower operative costs. The payback

period is very quick. Special hydrophobic zeolites are coated onto a fi ber–ceramic

honeycomb. The same technology–but with non-rotating panels–is used in VOC abatement

for food service.

Photocatalytic Self-Cleaning Ceramic

The self-cleaning ceramic can degrade contaminants (e.g., oil) on the surface, deodorize some

harmful gases, and kill bacteria or virus. It can be used for indoor or outdoor fitment for

kitchen, toilet, natatorium, operating rooms, and so on.

Solid Superacid Photocatalyst with High Efficiency

The solid superacid photocatalyst possesses higher photocatalytic activity and higher efficiency

for destroying organic contaminants at room temperature. It can be applied to the areas

including environmental protection, reclamation of noble metal, preservation of fruits and so

on.

Multi-Functional Photocatalytic Air Cleaner

The air cleaner has multi-functions such as destroying volatile organic compounds (e.g.,

trichloroethylene, benzene, formaldehyde, etc.), killing bacteria, deodorization, and dedusting.

It is favourable for reducing air pollution in home vehicles, hotel, offices, meeting rooms, and

so on.

Source: http://www.nerc-cfc.com/production.html

References

1. Air Pollution Control Engineering, de Nevers N., second Edition, 2000, McGraw Hill,

New York.

2. www.epin.ncsu.edu

3. Buscom.com

4. www.engelhard.com

CONTROL OF VOC IN CHEMICAL INDUSTRY (Case study of a typical

chemical industry in India)

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Typical Consumption of Solvents in a Pharma Unit of 5 Tons/day Capacity

Name of

Solvent

Consumption

Coeff.

(BP)

Consumption /

Day

MT

Loss with

Residue

Tons

Loss to

Environment

Tons

Methanol 0.30 (65°C) 1.20 0.18 1.02

Toluene 0.20 (111°C) 1.00 0.15 0.85

Cyclohexane 0.25 (81°C) 1.25 0.19 1.06

N-Methyl

Pyrrolidone 0.10 (202°C) 0.50 0.08 0.42

Xylene 0.20 (140°C) 1.00 0.15 0.85

Ethylene

Dichloride 0.25 (40°C) 1.25 0.19 1.06

Methylene

Dichloride 0.50 (40°C) 2.50 0.38 1.30

Acetone 0.40 (56°C) 2.00 0.30 1.70

Iso Propyl

Alcohol 0.35 (82°C) 1.75 0.30 1.45

Total 12.45 1.87 10.58

Name of

Solvent

Consumption/

Day

MT

Loss to

Environment

Tons

Unit

Price,

INR / Ton

Total Value

of Solvents

Lost / Day

INR

Methanol 1.20 1.02 23,000 23,460

Toluene 1.00 0.85 54,500 46,325

Cyclohexane 1.25 1.06 67,000 71,020

N-Methyl

Pyrolidone 0.50 0.42 160000 67,200

BULK STORAGE

Solvents fromTankers, SOContainersDrums

BATCH TANKS/DAY TANKS

PROCESS/OPERATIONS

RECOVERIES

Organic Residues+

Solvent

INCINERATOR

1 2 3 4

1.Breathing and evaporation losses2.Breathing and evaporation losses3&4 :Loss of uncondensed vapors

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Xylene 1.00 0.85 59000 50,050

Ethylene

Dichloride 1.25 1.06 31,000 32,860

Methylene

Dichloride 2.50 1.30 56,000 72,800

Acetone 2.00 1.70 60,000 1,02,000

Iso Propyl

Alcohol 1.75 1.45 60,000 87,000

Total 12.45 12.45 5,52,715

(Abort Rs 18.25

crores / Year

Source of VOCs in Batch Processing Industry

Volatile Organic Raw Materials and Solvents constitutes about 75 % of raw materials in

Pharma, Fine and Agrochemicals manufacturing. Out of this, about 50% are solvents.

In the Indian industry, handling losses of organic chemicals is as high as 2 to 3 times of the

daily manufacturing capacity. Major portion of chemicals lost are organic solvents. About 80%

of loss is to the air environment.

In US, Europe and Japan, this loss is limited to less than 0.5 times of the manufacturing capacity.

About 5 % of loss is to the air environment. Remaining 95% quantity is retained with organic

residues to avoid accidents due to thermal decomposition.

Losses of organic chemicals in our Industry (high VOC) is main cause of fire accidents, heath

risk to employees and weak balance sheets.

Good Engineering practices in Storage and Handling organic chemicals drastically reduces

losses.

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Myths about Solvent / RM Usage

▪ Solvent content in the Reactor shall be 50 to 75 % of the volume of Reaction mass to

ensure good yield, good temperature control and quality.

▪ Recovered solvent may contain impurities and may have impact on the conversions and

quality of the finished product.

▪ Solvent is the least important material and loss of solvent does not impact profitability of

the company.

▪ Loss of solvent is not a concern because it is going into the air from equipment vents and

disperses immediately.

▪ Contamination of Aqueous waste streams with solvents is a natural phenomenon and it is

the responsibility of EHS department to treat this waste.

▪ My responsibility ends with the process plant. I am not responsible for the quality of the

waste.

▪ Process waste is pumped to ETP and then responsibility is handed over to EHS

department.

▪ Quality of waste may change due to some abnormalities in the Reaction/ operations.

▪ Change in the waste characteristics can have an adverse impact on the functioning of waste

treatment equipment.

▪ Management will never know the cause of abnormal behaviour of ETP. Production blames

EHS, EHS blames production, Production and EHS blames Equipment, Equipment supplier

blames the feed characteristics are different -- blame game continuous without any

solution to the problem.

▪ Best practice is to recover all solvents, chemicals present in the waste within the process

plant and only clean waste is sent to Waste Treatment Facilities.

Impact of Solvent Loss

▪ Makes operations financially non-viable.

▪ Solvent loss to environment causes damage to environment and health of employees.

▪ Presence of solvent vapor with lower flashpoint in environment can cause explosion /

flashback.

PROSPERITY TRIANGLE

Good engineering practices reduces VOCs, enhance Safety , ensures clean environment and maximizes profitability resulting Prosperity

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▪ Low TDS waste streams contaminated with solvents are difficult to treat by biological

treatment. Capital cost and operating cost of treatment will be extremely high.

▪ High TDS waste contaminated with solvents makes Forced Evaporation difficult. Causes

scaling and odour nuisance.

Typical Consumption of Solvents in a Pharma Unit of 5 Tons/Day Capacity Name of

Solvent

Consumption

/ Day

MT

Loss to

Environment

Tons

Unit

Price, Rs /

Ton

Total Value

of Solvents

Lost / Day

INR

Methanol 1.20 1.02 23,000 23,460

Toluene 1.00 0.85 54,500 46,325

Cyclohexane 1.25 1.06 67,000 71,020

N-Methyl

Pyrolidone 0.50 0.42 160000 67,200

Xylene 1.00 0.85 59000 50,050

Ethylene

Dichloride 1.25 1.06 31,000 32,860

Methylene

Dichloride 2.50 1.30 56,000 72,800

Acetone 2.00 1.70 60,000 1,02,000

Iso Propyl

Alcohol 1.75 1.45 60,000 87,000

Total 12.45 12.45 5,52,715

(Abort Rs 18.25

crores / Year

Sources of Solvent Loss

Solvent storage and transfer : 3 to 5 %

Vent losses from process plant : 3 to 5 %

Losses during evaporation (Vacuum & Atmospheric) : 70 to 75 %

Solvent recovery by fractionation : 5 to 10 %

Drying and Loss with organic residues : 10 to 15 %

SOURCE Loss

Storage Evaporation, breathing and diffusivity

losses

Handling Leak Proof Pumps/Pipelines

Recovery by Atmospheric

Distillation/Evaporation

Loss of Uncondensed Vapours.

Recovery by Vacuum

Distillation/Evaporation

Loss of Vapours from Vacuum Systems

(Ejectors, Pumps)

Fractionation/Stripping Loss in the form of mixed solvents

Filtration/Drying Evaporation loss

Distillation Residues Solvent

Storage and Handling of Solvents

▪ Solvents are stored in bulk storage tanks or drums

▪ Solvents are transported by Road in Tankers/ Iso containers or in drums and transferred

to Bulk Storage tanks using Pumps.

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▪ Transfer to bulk storage tanks by using centrifugal pumps or Nitrogen Pressure. From

drums solvent is transferred by using positive displacement pumps.

▪ From bulk storage tanks, solvents transferred to batch tanks/ day tanks. From these tanks,

fresh solvent makes up is done along with recovered solvents to the extent of loss.

Storage and Handling Loss

▪ Solvent gradually diffuses to the vapour space and escapes from the vent. Rate of diffusion

depends on the ambient temperature, vapour pressure and diffusion coefficient of the

material stored.

▪ Solvent loss from a 30 KL capacity storage tank is estimated to be as high as 20 to 30 MT

per annum.

▪ The environment around storage tanks contains solvent vapours.

▪ Solvents with low flash points can even cause fire/ explosion if there is a source of ignition.

▪ Storage losses can be minimised by designing good storage systems.

Flash Point

Measure of ease of ignition of the liquid. It is the lowest temperature at which the material

will ignite from an open flame.

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Solvent Flash Point, Deg C

Acetone (-) 18

n-Butyl alcohol 29

Ethyl Acetate (-) 4

Ethyl alcohol 13

Methyl Alcohol 12

Ethylene Glycol 111

n-Hexane (-)22

Toluene 4.5

Vapour Density Solvent Vapor Density

( Air :1)

Acetone 2

n-Butyl alcohol 2.55

Ethyl Acetate 3.04

Ethyl alcohol 1.59

Methyl Alcohol 1.11

Ethylene Glycol 2.14

n-Hexane 2.91

Toluene 3.14

High concentration at ground level near storage tanks and processing area. Exposure and Fire Hazards. Leak free systems to be provided.

Chilled

Water

Chilled

Water

•Tank with open vent continuous loss of vapor.

•Tank with breather valve

•Air goes in when tank is evacuated.

• Vapor loss when material is filled.

•Tank with condenser and breather valve.

•No loss of vapor if condenser is provided on the vent line.

•Nitrogen blanketing is provided if material stored is flammable.

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Vapour Pressure Data Vapor

Pressure,

mmH g

20 40 100 200 400 760

Acetone -21 -9 8 23 39 56

n-Butyl

alcohol

41 53 70 84 101 118

Ethyl

Acetate

-3 9 27 42 50 77

Ethyl

alcohol

8 19 35 48 63 78

Temperature in Deg C

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Storage and Handling of Organic Solvents

▪ Completely closed operation

▪ Breather valves to all storage tanks

▪ Condensers for volatile solvents

▪ Nitrogen blanketing and flame arrestors for flammable solvents

▪ Common vent headers in process plant to Scrubber and

▪ Incinerator

VACCUM DISTILLATION (Case Study 1)

▪ Intermediates and finished products are thermally sensitive. Solvents used for reactions

are distilled under vacuum at low temperature. Intermediates and products need to be

free from solvents used in the earlier process before they go to the next process.

▪ Vacuum system is designed to evacuate air leaked from various flanges and uncondensed

solvents.

▪ Condensers are provided before vacuum system to condense solvent. ▪ Some solvent vapours escape with air from Condensers. Quantity of solvent loss depends

on temperature of vapor at the suction of vacuum system, vapor pressure of solvent at

this temperature and air leakage rate.

▪ Reduction in VOC by replacing steam ejector with Dry Vacuum System (Case Study I)

▪ Ethylene Dichloride (EDC) solvent is recovered after the Reaction under vacuum at less

than 50oC. Vacuum is used because Product is thermally sensitive.

▪ About 5 Tons of EDC recovered / day. About 1.3 Tons / day of EDC loss from steam

ejector (about 100 kgs/ hr loss)

▪ Operators used to feel skin itching and uneasiness due to high concentrations of EDC in

environment.

▪ It is impossible to minimize this loss because EDC vapor does not completely condense

in condensers before ejector. Some EDC will escape along with air / nitrogen through the

ejector.

▪ Condensers at the outlet of ejectors required to minimize this loss but EDC gets

contaminated with motive fluid steam used in the Ejector.

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▪ EDC vapours can easily be condensed if dry vacuum system is used.

Air Leakage Rate in to Vacuum System Type of Fitting Estimated Air Leakage Rate, kgs/hr

Screwed connections up to 50 mm 0.045

Screwed connections above 50 mm 0.09

Flanged connections up to 150 mm 0.23

CWR

CWS

CHWR

CHB

ChWSCHB

Steam Ejector

SteamCooling Water

Loss of

Steam

+Solvent

Steam

condensate

+ Solvent to

`ETP

1. Cooling water condenser

2. Chilled water condenser.

3. Chilled water Condenser.

1 2 3

RecoveredSolvent

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Flanged connections from 150 mm to

600 mm

0.49

Packed Valves up to 20 mm stem diameter 0.20

Plug Valves 0.04

Sight Glass 0.45

Air Leakage Rate in to Vacuum System Type of Fitting Estimated Air Leakage Rate

kgs/hr

Stuffing Box, per inch shaft diameter 0.67

Mechanical seal , per inch shaft

diameter

0.13

Safety valves and vacuum breakers

per inch of nominal size

0.45

Air Leakage Rate for 10 KL Evaporator

Description Size in mm. Air Leakage Rate in

kgs/Hr.

Manhole 500 0.49

Sight Glass 100 0.45

Light Glass 150 0.45

Agitator 200 1.04

Baffle 150 0.23

Process Nozzles 5 X150 1.15

Vapor Nozzle 2 X300 0.49

Safety Relief Valves 0.45

Vapor line 3 X 150 0.69

TOTAL 5.44 kgs/hr

LOSS OF ETHYLENE DICHLORIDE FROM VACUUM SYSTEM

Vapor Pressure (mmHg)

TemperatureDeg C

1 (-) 44.5

5 (-) 24

10 (-) 13.6

20 (-) 2,4

40 10

60 18.1

100 29.4

200 45.7

400 64

760 82.4

Temperature of Vapor at vacuum system= (-)10OC

Vapor Pressure at (-)10OC = 13mmHg

Absolute Pressure at vacuum system = 20mmHg

No. of Moles of EDC (A)

No. of Moles of Air(B)+ No. of Moles of EDC ( A)= 13/20 = 0.65

B=10 Kg/hr 10/29=0.345 Kg.Moles/hr

A/(A+B)=0.65

Loss of EDC = 0.345X99 = 34 kgs/hr at 20 mm Hs abs pressure

Average loss of EDC during vacuum concentration from Vacuum system ( 100 mm hg to 5 mm Hg abs pressure) = 600 kgs/day

Total loss of EDC / annum = 198 MTValue of EDC lost / annum = Rs 61.40 lacs

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General Comparison of Technologies Technology Vacuum

Level

Effluent Initial

Cost

Utility

Costs

Maintenance

Costs

Steam Ejector Good High Low High Low

Water Ring

Pump

Poor Medium Low Medium Medium

Oil ring pump Good Medium low Medium Medium

General Comparison of Technologies

Steam Ejector:

▪ Steam condensate gets contaminated with solvent vapours.

▪ Difficult to recover solvent from condensate. Condensate at 80 to 85 oC. ▪ Difficult to treat the effluent (condensate with traces of solvent).

▪ Solvent escapes from exhaust. High emissions.

Water Ring vacuum pump:

▪ Water gets contaminated with solvent.

▪ Partial recovery of solvent. Difficult to treat the effluent.

▪ Can generate vacuum up to 690 mm Hg only.

▪ Solvent escapes from exhaust. High emissions.

Oil ring vacuum pump:

▪ Oil gets contaminated with solvent. Frequent replacement of oil.

▪ High emissions.

▪ Difficult to dispose the contaminated oil.

STEAM EJECTORS

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LIQUID RING VACUUM PUMP

Reduction of Loss from Vacuum System

▪ Solvent from exhaust of vacuum system can be recovered completely if there is no motive

fluid in the vacuum system

▪ Effluent generation from vacuum system can be avoided if solvent vapour does not come

in to contact with any motive fluid.

▪ Usage of expensive utilities like steam, Cooling Water, Chilled water not required in the

absence of motive fluid for generating vacuum

Dry Vacuum Pump

▪ There is no motive fluid.

▪ Elimination of steam usage. Cost of utility is exceptionally low. Motor of 7.5 to 10 Kw is

enough.

▪ Solvent from exhaust can be condensed and recycled. No contamination of solvent.

▪ Solvent emission to atmosphere is nil.

▪ Ultimate vacuum < 1 mbar(a).

▪ Higher capacity & vacuum achievable if used in combination with mechanical booster(s)

and/or vapor boosters.

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DRYSTAR PUMP

Reduction in VOC by Replacing Steam Ejector with Dry Vacuum System (Case

Study II)

▪ Ethylene Dichloride (EDC) solvent is recovered after the Reaction under vacuum at less

than 50oC. Vacuum is used because Product is thermally sensitive.

▪ About 5 Tons of EDC recovered / day. About 1.3 Tons / day of EDC loss from steam

ejector (about 100 kgs/ hr loss)

▪ Operators used to feel skin itching and uneasiness due to high concentrations of EDC in environment.

1 Inlet flange

2 Upper bearing in removable cartridge

3 Coolant jacket

4 Heat exchanger for

cooling water circuit

5 Three stage claw

mechanism

6 Reversed claws for

shortest gas path

7 Outlet flange

8 Gear box

9 Clutch assembly

12

3

45

6

7

9

8

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▪ It is impossible to minimize this loss because EDC vapor does not completely condense

in condensers before ejector. Some EDC will escape along with air / nitrogen through the

ejector.

▪ Condensers at the outlet of ejectors required to minimize this loss but EDC gets

contaminated with motive fluid steam used in the Ejector.

▪ EDC vapours can easily be condensed if dry vacuum system is used.

S. N. Details EDC Consumption

1. Consumption of EDC MT/day 2.10

2. Saving in EDC Consumption, MT/day with one Dry Vacuum

Pump

1.20

3. Saving of EDC/annum, MT 396

4. Average Cost of EDC/MT, Rs. 31000

5. Saving on DCE, Rs. Lacs 123

6. Savings in Utilities 15

Total Saving on Steam Power and EDC, Million INR 13.3

Dry Vacuum Pumps

Crystallization after Solvent Change Over (Case Study III)

▪ In chemical Reactions, solvent used for Reaction will have high solubility of product.

▪ In crystallizations, solvent used for crystallization shall have exceptionally low solubility so

that maximum product is isolated by Crystallization.

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▪ Solvent I used for Reaction is distilled out and then solvent II used for crystallization is

charged. Complete removal of solvent I is especially important to ensure good yield of the

product. This operation is done under vacuum.

▪ In this case Acetone is used as Solvent for Reaction and Isopropyl Alcohol is used for

Crystallization.

Crystallization before Modification

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Crystallization After Modification

COMPARISON

Before Modification

▪ About 50 % of Acetone distilled at atmospheric pressure. Temperature: 70 o C

▪ Vacuum applied and about 20% acetone is distilled at 70 o C. Water jet ejector used to

get vacuum

▪ Product precipitates after distilling 60% Acetone and agitator gets jammed

▪ IPA is charged to avoid agitator getting jammed

▪ IPA + Acetone distilled out under vacuum. About 15 % Acetone is removed.

▪ Vacuum applied through common header. Maximum vacuum achieved was 100 mm

hg(abs)

▪ Loss of Acetone from Vacuum Pump exhaust was high causing high VOC

▪ Product exposed to high temperature, 70 to 75 o C for about 20 hrs/ day leading to

decomposition

▪ Product yield was 60 % due to incomplete removal of Acetone

▪ Additional equipment to recover product in filtrate as second crop.

▪ Overall yield 82.5%

After modification

▪ About 98 % Acetone distilled out under vacuum at less than 40 oC

▪ Dry vacuum pump installed near the Crystallizer to get good vacuum

▪ There is enough vacuum to completely remove even after precipitation and jamming of

Agitator

▪ Charged IPA after completely removing Acetone

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▪ Dedicated dry vacuum pump kept close to the Reactor applied high vacuum at the

beginning itself (about 5 mm hg absolute pressure)

▪ Chilled water condenser provided at the exhaust of vacuum pump to recover Acetone

completely and no VOC at the exhaust

▪ Maximum temperature 40 o C and batch time reduced to 8 hrs

▪ Product yield high (95%) due to complete removal of IPA before charging second crop

▪ No need to recover second crop.

Summary of savings (Case Study III) Operation Without Dry Vacuum Pump

S.

N.

Description Unit Value

1 Average quantity of solvent Input Its 4100

2 Average quantity of solvent output Its 3150

3 Loss of Acetone during filtration and

distillation

Its 950

Common Vent Systems

▪ All batch tanks, receivers, reactors, vents from condensers shall be connected to common

vent headers.

▪ Equipment containing compatible chemicals only shall be connected to common headers.

More than one common header may be provided depending on the compatibility.

▪ Avoid using PVC, HDPE, PPFRP materials for common headers because of presence of

organic vapours ▪ Use the right MOC for headers. It is not possible to detect the leakage of vapours in

operating plant because they are located at higher elevation

▪ Vent headers shall be connected separately to common scrubber by providing trap and

barometric loops. This is to avoid entry of scrubber liquid to vessels through common

header.

Operation with Dry Vacuum Pump

S. N. Description Unit Value

1 Average quantity of solvent Input Lts 4100

2 Average quantity of solvent output Lts 3800

3 Loss of Acetone during filtration and distillation Lts 300

4 Additional quantity of Acetone recovered per batch Lts 650

5 Additional quantity of Acetone recovered per batch kgs 514

6 Landed Cost of Acetone solvent / kg Rs. 56

7 Value of Acetone saved/ day Rs 28784

8 Value of additional product output - 150 4 Rs 135000

(Yield improved from 82.5 % to 95%)

9 Number of batches / months Nos 24

10 Additional profit / month Rs lack 39

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Vent Systems

Process Equipment’s

▪ Number of common vent headers based on compatibility of chemicals.

▪ Provision of cold trap before scrubbers to trap volatile organic vapours.

▪ Heat exchanger with chilled water circulation traps solvent which can be used as fuel for

Incinerator

CONCLUSION

▪ Minimization of solvent loss and reduction of VOC’s is the biggest concern in batch

process industries

▪ Reduction of solvent loss by adoption of Cleaner Production Technologies is easy and

makes organizations more profitable and highly competitive.

▪ Efforts required for minimization of solvent loss and waste generation are far less than the

efforts required to treat wastes contaminated with solvents and sustain the business in

the highly competitive global market.

▪ Lack of knowledge and poor engineering practices are main reasons for extremely high

VOCs in the Environment surrounding industry.

▪ It is especially important to educate the Industry regarding harmful effects of VOCs and

any effort to minimise VOCs will result in substantial enhancement in profits. Return on

investment on equipment to minimise VOCs is 3 months to 6 months.

ScrubberVent Header

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Annexure-VI

Total VOC Exposure Guidelines Recommended by the

Commission of the European Communities (CEC 1992)

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Total VOC Exposure Guidelines Recommended by the Commission of the

European Communities (CEC 1992)

Substances Exposure Guideline 96 Hr. Average

(Itgim3)

Alkanes 100

Aromatic hydrocarbons 50

Terpenes 30

Halocarbons 30

Esters 20

Aldehydes and ketones (excluding

formaldehyde)

20

Other 50

Sum of VOC 300

Massachusetts Threshold Effects Exposure Limits (TELS) and Allowable Ambient

Limits (AALS) for Ambient Air

Chemical CAS

Number

Threshold Effects

Exposure Limit (TEL)

Allowable Ambient

Limit (AAL)

24 – Hour Average Annual Average

ug/m3 (ppb) ug/m3 (ppb)

* Acetaldehyde 75070 2 (1.11) 0.5 (0.28)

Acetone 67641 160.54 (68.03) 160.54 (68.03)

* Acrylonitrile 107131 0.4 (0.18) 0.01 (0.0046)

Alkanes / Alkenes (Not to

Exceed 25% n-Hexane)

95.24 - 47.62 -

* Ammonia 7664417 100 (143.57) 100 (143.57)

* Aniline 62533 0.2 (0.053) 0.1 (0.026)

Antimony 7440360 2 - 1 -

Arsenic 7440382 0.0005 - 0.0002 -

Asbestos 1332214 0.0002 f/cm3 0.000004

f/cm3

Benzene 71432 1.74 (0.54) 0.12 (0.04)

Benzyl Chloride 100447 14.08 (2.72) 0.94 (0.18)

Beryllium 7440417 0.001 - 0.0004

1,3-Butadiene 106990 1.20 (0.54) 0.003 (0.002)

n-Butyl Alcohol 71363 412.24 (136.05) 412.24 (136.05)

Cadmium 7440439 0.003 - 0.001 -

Calcium Chromate 13765190 0.003 - 0.0001 -

Carbon Disulfide 75150 0.1 (0.032) 0.1 (0.032)

Carbon Tetrachloride 56235 85.52 (13.61) 0.07 (0.01)

Carbonyl Sulfide 463581 0.1 (0.041) 0.1 (0.041)

Chlordane 57749 0.14 (0.008) 0.03 (0.002)

Chromic Acid 7738945 0.003 - 0.0001 -

Chromium (metal) 7440473 1.36 0.68 -

Chromium (VI)

Compounds

0.003 0.0001 -

Copper 7440508 0.54 - 0.54 -

p-Cresol 106445 24.05 (5.44) 12.02 (2.72)

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Cyclohexane 110827 280.82 (81.63) 280.82 (81.63)

o-Dichlorobenzene 95501 81.74 (13.61) 81.74 (13.61)

p-Dichlorobenzene 106467 122.61 (20.41) 0.18 (0.03)

1,2-Dichloroethane 107062 11.01 (2.72) 0.04 (0.01)

1,2-Dichloroethylene 540590 215.62 (54.42) 107.81 (27.21)

Dichloromethane 75092 9.45 (2.72) 0.24 (0.07)

1,2-Dichloropropane 78875 0.9 (0.19) 0.05 (0.01)

Diethylamine 109897 8.13 (2.72) 4.07 (1.36)

Di(2-ethylhexyl) phthalate 117817 1.36 (0.09) 0.77 (0.05)

Dimethylformamide 68122 6 (2.01) 3 (1.004)

1,4-Dioxane 123911 24.49 (6.80) 0.24 (0.07)

Diphenyl 92524 0.34 (0.05) 0.09 (0.01)

Diphenylamine 122394 2.72 (0.39) 0.68 (0.10)

Epichlorohydrin 106898 0.08 (0.021) 0.08 (0.021)

Ethanol 64175 51.24 (27.21) 51.24 (27.21)

Ethyl Acetate 141786 391.84 (108.84) 391.84 (108.84)

Ethyl Acrylate 140885 0.56 (0.14) 0.28 (0.07)

Ethylbenzene 100414 300 (69.09) 300 (69.09)

Ethylene Glycol 107211 34.50 (13.61) 34.50 (13.61)

Ethyl Ether 60297 329.80 (108.84) 164.90 (54.42)

Fluoride 16984488 6.80 (8.76) 6.80 (8.76)

Formaldehyde 50000 0.33 (0.27) 0.08 (0.06)

Furan 110009 0.40 (0.14) 0.02 (0.007)

Heptachlor 76448 0.14 (0.009) 0.001 (0.0001)

Hexachlorocyclopentadiene 77474 0.006 (0.0005) 0.006 (0.0005)

Hexachloroethane 67721 0.53 (0.05) 0.25 (0.03)

2-Hexanone 591786 10.88 (2.66) 10.88 (2.66)

Hydrazine 302012 0.007 (0.005) 0.002 (0.001)

Hydrogen Bromide 10035106 5 (1.51) 5 (1.51)

Hydrogen Chloride 7647010 7 (4.69) 7 (4.69)

Hydrogen Cyanide 74908 0.6 (0.54) 0.3 (0.27)

Hydrogen Fluoride 7664393 0.68 (0.83) 0.34 (0.42)

Hydrogen Sulfide 7783064 0.9 (0.65) 0.9 (0.65)

Isoamyl Acetate 123922 144.76 (27.21) 144.76 (27.21)

Isobutyl Acetate 110190 193.77 (40.82) 193.77 (40.82)

Isobutyl Alcohol 78831 41.22 (13.61) 41.22 (13.61)

Isopropyl Acetate 108214 283.81 (68.03) 283.81 (68.03)

Lead 7439921 0.14 - 0.07 -

Lead Subacetate 1335326 0.14 - 0.01 -

Lindane 58899 0.14 (0.11) 0.003 (0.0002)

Maleic Anhydride 108316 0.27 (0.07) 0.14 (0.03)

Mercury (elemental) 7439976 0.14 - 0.07 -

(inorganic) 0.14 - 0.01 -

(methylmercury) 0.003 - 0.0014 -

Methanol 67561 7.13 (5.44) 7.13 (5.44)

* 2-Methoxy Ethanol 109864 3 (0.96) 2 (0.64)

Methyl Acrylate 96333 9.57 (2.72) 4.79 (1.36)

Methyl Bromide 74839 5.28 (1.36) 2.64 (0.68)

Methyl Ethyl Ketone (MEK) 78933 200 (67.82) 10 (3.39)

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Methyl Isobutyl Ketone

(MIBK)

108101 55.70 (13.61) 55.70 (13.61)

Methyl Methacrylate 80626 22.27 (5.44) 22.27 (5.44)

Naphthalene (including 2-

methylnaphthalene)

91203 14.25 (2.72) 14.25 (2.72)

Nickel (metal) 7440020 0.27 - 0.18 -

Nickel Oxide 1313991 0.27 - 0.01 -

Nitrobenzene 98953 13.69 (2.72) 6.84 (1.36)

Pentachlorophenol 87865 0.01 (0.001) 0.01 (0.001)

Phenol 108952 52.33 (13.61) 52.33 (13.61)

Phosphoric Acid 7664382 0.27 (0.07) 0.27 (0.07)

Phthalic Anhydride 85449 1.65 (0.27) 0.82 (0.14)

PCBs 1336363 0.003 0.0005 -

Propyl Alcohol 71238 133.63 (54.42) 133.63 (54.42)

* Propylene Oxide 75569 6 (2.53) 0.3 (0.13)

Resorcinol 108463 12.24 (2.72) 3.06 (0.68)

Selenium 7782492 0.54 0.54 -

Selenium Sulfide 7446346 0.54 - 0.05 -

*Styrene 100425 200 (46.96) 2 (0.47)

Sulfuric Acid 7664939 2.72 (0.68) 2.72 (0.68)

1,1,2,2-Tetrachloro- 1,2-

Difluoroethane

76120 1133.33 (136.05) 566.67 (68.03)

1,1,2,2-Tetrachloroethane 79345 18.67 (2.72) 0.02 (0.003)

Tetrachloroethylene 127184 922.18 (136.05) 0.02 (0.003)

Tetrahydrofuran 109999 160.35 (54.42) 80.18 (27.21)

*Toluene 108883 80 (21.23) 20 (5.31)

Toluene Diisocyanate 584849 0.10 (0.01) 0.10 (0.01)

o-Toluidine 95534 2.38 (0.54) 0.17 (0.04)

1,1,1-Trichloroethane 71556 1038.37 (190.48) 1038.37 (190.48)

1,1,2-Trichloroethane 79005 14.84 (2.72) 0.06 (0.01)

Trichloroethylene 79016 36.52 (6.80) 0.61 (0.11)

2,4,6-Trichlorophenol 88062 0.16 -

*Triethylamine 121448 1 (0.24) 0.7 (0.17)

Vanadium 1314621 0.27 - 0.27 -

Vanadium Pentoxide 1314621 0.14 (0.02) 0.03 (0.005)

NOTE: All new and revised values are expressed in ug/m 3 to one significant figure. To allow for

more accurate interconversion between ug/m 3 and ppb, no rounding of the ppb-equivalent values

was conducted.

New and revised criteria are shaded.

*Criteria which were derived based on an Environmental Protection Agency Reference Concentration

(RfC).

Climate and Clean Air Coalition (CCAC)

Reducing Air Pollution in India’s Industrial Cluster through Smart Energy Management August 2020 | 84

Reducing Air Pollution in India’s

Industrial Cluster through

Smart Energy Management