alexa Selection of an Optimal Air Pollution Management System for Commercially Operated Spray Driers located in an Industrial Estate
ISSN: 2375-4397

Journal of Pollution Effects & Control
Open Access

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Research Article

Selection of an Optimal Air Pollution Management System for Commercially Operated Spray Driers located in an Industrial Estate

Deshmukh AP1 and Srinivasarao M2*

1Department of Chemical Engineering; Faculty of Technology, Dharmsinh Desai University, College Road, Nadiad, Gujarat, India

2Department of Chemical Engineering; Faculty of Technology, Dharmsinh Desai University, College Road, Nadiad, Gujarat, India

*Corresponding Author:
Srinivasarao M
Professor, Department of Chemical Engineering
Faculty of Technology, Dharmsinh Desai University
College road, Nadiad, Gujarat, India
Tel: +919427634725
E-mail: [email protected]; [email protected]

Received date: December 03, 2016; Accepted date: January 31, 2017; Published date: February 06, 2017

Citation: Deshmukh AP, Srinivasarao M (2017) Selection of an Optimal Air Pollution Management System for Commercially Operated Spray Driers located in an Industrial Estate. J Pollut Eff Cont 4: 181. doi: 10.4176/2375-4397.1000181

Copyright: © 2016 Deshmukh AP, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Industrial air pollution is of serious concern in developing countries like India due to inferior ambient air quality. Among various states Gujarat is major hub/contributor for the production of dye and dye-intermediate industries. Most of them are using spray driers leading to emission of pollutant air containing various dye particles. These dye particles are causing health problems along with problems related to aesthetics in the nearby residential areas. In the present work we propose a mathematical model for optimal selection of air pollution control equipment. The model is capable to consider multiple pollutants, multiple emission sources and multiple control equipment. Constraints like budget, efficiency of control equipment and regulatory norms are included in the model. We have monitored seventy five commercially operated process plants located in the Vatva industrial estate in Ahmadabad District in the state of Gujarat. Based on the monitoring results we have identified the industries with inadequate Air Pollution Management Systems (APMS). The proposed optimization model is used to suggest necessary modifications in Process Control (PC) equipment to make the Air Pollution Management system (APMS) adequate. The efficacy of the proposed model is successfully demonstrated.

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