|Abstract Title:||Assessment of Industrial Pollution Load through Online Continuous Emission Monitoring: A case study of Tata Steel Limited, Jamshedpur|
|Session Choice:||Industrial Case Studies|
|Presenter Name:||Mr Shubhanand Mukesh|
|Co-authors:||Mr Anoop Srivastava|
Abstract Information :
Monitoring of particulate matter (PM) emission form point sources inside an Iron and Steel Plant is a very much required for calculating total pollutant load. Total pollutant load is calculated under "Bubble Concept" wherein examining all air pollutants in an area as if they came from a single source; this concept is used in making a decision regarding the possibility of a new plant/expansion in the area. Continuous emission monitoring (CEM) helps in the assessment of correct and representative pollutant load as well as specific PM emission with respect to the total production. Parameters used to compute the total and specific PM emission load are dependent on few variables such as volumetric flow, emission concentration, status of pollution control equipment, operating conditions of the manufacturing unit and total production. Various issues of the operating conditions such as problem in the conveying system, machine start / stop, process related issues, maintenance related issues are analyzed for monitoring and calculation. Physical and chemical properties of the collected PM have also impact on the emission load of the unit as this is directly related with the technology being used in the CEM. The pollutant load data computed in this manner helped in taking decision to upgrade or replace the pollution control equipment for further reduction in PM emission as well as selecting the technology of pollution control equipment. Continuous analysis of data also helps to set or compare with the industry benchmark with respect to PM emission.
In the Steel Works, Jamshedpur, majority of stacks are being monitored through CEM system which helped us in timely upgradation of the existing air pollution control equipment and its regular operation and maintenance. With this, more than 50% PM emission load has been decreased in last five years. CEM also helps in the continuous analysis of air quality through PM dispersion modeling and also facilitate in developing daily Ambient Air Quality for Steel Works.