A Selection Optimization Model of Water Pollution Emission Reduction Measures in Refining and Chemical Enterprises

Xing Chun Li; Jing Ya Wen; Jiang Long; Xian Yuan Du; Yu Li

doi:10.4028/www.scientific.net/AMM.472.840

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 472A Selection Optimization Model of Water Pollution...

A Selection Optimization Model of Water Pollution Emission Reduction Measures in Refining and Chemical Enterprises

Abstract:

On account of severe water pollution condition, this paper combines refinery and chemical enterprises pollution reduction and linear programming method, builds a selection optimization model of water pollution emission reduction measures in refining and chemical enterprises, and puts the above model into practice to validate its validity and reliability. According to the case study, the maximum emission reductions of COD and NH₃-N for refining and chemical enterprises was 6481.50 and 549.51tons, which has improved 29.63% and 9.90% compared with the target reductions, respectively. The optimal emission reduction scheme is choosing Mycelx^TM technology, and COD has installed on the Delay catalytic unit, while NH₃-N has installed on the Sulfur recovery unit. This model could provide not only the maximum emission reduction and optimal scheme, but also the decision support of emission reduction for refinery and chemical enterprises during "the 12^th Five-Year Plan".

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Periodical:

Applied Mechanics and Materials (Volume 472)

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840-844

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.472.840

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Online since:

January 2014

Authors:

Xing Chun Li*, Jing Ya Wen, Jiang Long, Xian Yuan Du, Yu Li

Keywords:

Chemical Enterprises, Linear Programming, Refinery Enterprises, Selection Optimization, Water Pollutants

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