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

Autor: Jiang Long, Xing Chun Li, Xian Yuan Du, Yu Li, Jing Ya Wen
Rok vydání: 2014
Předmět:
Zdroj: Applied Mechanics and Materials. 472:840-844
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.472.840
Popis: 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 MycelxTMtechnology, 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 12thFive-Year Plan".
Databáze: OpenAIRE