10.2190/MLJX-MXGA-HXBQ-2T1H MLJXMXGAHXBQ2T1H 15 IMPACT OF SO2 EMISSION LIMITS ON PETROLEUM REFINERY OPERATIONS I: A LINEAR PROGRAMMING MODEL 15 38 20030122 20030122 20030122 20030122 MLJXMXGAHXBQ2T1H.pdf http://baywood.metapress.com/link.asp?target=contribution&id=MLJXMXGAHXBQ2T1H 1 AMIT DUTTA A. K. DIKSHIT S. RAY M. BANDYOPADHYAY Indian Institute of Technology, Kharagpur, India This is the first part of the three-part article. This article discusses the development of a general-purpose linear programming model to evaluate the impact of imposed maximum SO2 emission limits on the operation and the profitability of a petroleum refinery satisfying all relevant constraints due to the refinery configuration and operational limitations. The proposed model has been applied to an existing petroleum refinery in India. The model generates the tradeoff curve for profit as a function of maximum SO2 emission limits, which helps in identifying opportunities for source reduction of SO2. The case study clearly demonstrates that the model can be used for any refinery as a tool to schedule the optimal monthly operation satisfying the SO2 emission standard.

X. Chen and R. W. Pike, Interactive On-Line Optimization System, User's Manual, Minerals Processing Research Institute, Louisiana State University, 1998.

High & Watt Associates Ltd., Refinery Modelling System, High & Watt Associates Ltd., London, http://www.highandwatt.com/hwmodel.htm, 2001.

CPCB (Central Pollution Control Board, India), Minimal National Standards: Oil Refineries. COINDS/4/1980-81, Central Board for the Prevention and Control of Water Pollution, New Delhi, India, 1981.

L. Schrage, User's Manual for Linear, Integer and Quadratic Programming with LINDO, LINDO Systems, Inc., Chicago, Illinois, 1984.

EPA (U.S. Environmental Protection Agency), Profile of the Petroleum Refining Industry, Office of Compliance Sector Notebook Project, EPA 310-R-95-013, September 1995, US EPA, Washington, D.C., 1995.

CPCB (Central Pollution Control Board, India), Comprehensive Industry Document Oil Refineries, COINDS/3/1980-81, Central Board for the Prevention and Control of Water Pollution, New Delhi, India, 1981.

EPA (U.S. Environmental Protection Agency), Code of Federal Regulations, 40 CFR Part 60, Standards of Performance for New Stationary Sources, U.S. Environmental Protection Agency, Federal Office Building, New York, 1997.

World Bank, Pollution Prevention and Abatement Handbook: Petroleum Refining, Environment Department, Washington, D.C., 1998.

K. Magoulas and D. Marinos-Kouris, Instructions are Given for Building Gasoline-Blending LP, Oil and Gas Journal, 86:27, pp. 32-37, 1988.

M. C. Hu, R. T. Powell, and N. F. Kidd, Develop LP Models Using A Steady-State Simulator, Hydrocarbon Processing, 76:6, pp. 81-86, 1997.

J. C. M. Hartmann, Decision-Making and Modeling in Petroleum Refining, Hydrocarbon Processing, 76:11, pp. 77-81, 1997.

P. J. Kennedy, Real-Time Refinery Optimization, Hydrocarbon Processing, 68:4, pp. 57-61, 1989.

K. D. Bartholomew and A. Soudek, LP Accuracy is Improved by Incorporating FCC Simulation Data, Oil and Gas Journal, 87:44, pp. 57-62, 1989.

J. H. Jenkins, LP Modeling Pieces Together Reformulation Puzzle, Oil and Gas Journal, 90:46, pp. 41-44, 1992.

P. Grosdidier, Economics of Blend Giveaway, Hydrocarbon Processing, 76:11, pp. 55-60, 1997.

Ministry of Environment and Forests, The Gazette of India Extraordinary Notification, Part II, Sec. 3(i), New Delhi, 19th May, 1993.

CPCB (Central Pollution Control Board, India), Comprehensive Industry Document Series: Emission Regulations, Part II, COINDS/18/1984-85, Central Board for the Prevention and Control of Water Pollution, New Delhi, India, 1985.

CONCAWE, Best Available Techniques to Reduce Emission from Refineries, CONCAWE Air and Water Quality Management Groups, Brussels, 1999.

A. Dutta, Assessment and Minimization of the Environmental Impact of Petroleum Refinery Operations, Ph.D. dissertation, Department of Civil Engineering, Indian Institute of Technology, Kharagpur, 2002.