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Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2002, Vol. 3 Issue (4): 405-411    DOI: 10.1631/jzus.2002.0405
Energy & Environment Engineering     
Multiple objectives application approach to waste minimization
ZHANG Qing-yu
Department of Environmental Science and Engineering, Zhejiang University, Hangzhou 310027, China
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Abstract  Besides economics and controllability, waste minimization has now become an objective in designing chemical processes, and usually leads to high costs of investment and operation. An attempt was made to minimize waste discharged from chemical reaction processes during the design and modification process while the operation conditions were also optimized to meet the requirements of technology and economics. Multiobjectives decision nonlinear programming (NLP) was employed to optimize the operation conditions of a chemical reaction process and reduce waste. A modeling language package-SPEEDUP was used to simulate the process. This paper presents a case study of the benzene production process. The flowsheet factors affecting the economics and waste generation were examined. Constraints were imposed to reduce the number of objectives and carry out optimal calculations easily. After comparisons of all possible solutions, best-compromise approach was applied to meet technological requirements and minimize waste.

Key wordsWaste minimization      Multiple objectives optimization      Chemical reaction process     
Received: 21 July 2001     
CLC:  X383  
Cite this article:

ZHANG Qing-yu. Multiple objectives application approach to waste minimization. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2002, 3(4): 405-411.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2002.0405     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2002/V3/I4/405

[1] ZHANG Qing-yu. A KNOWLEDGE-BASED SYSTEM FOR WASTE MINIMZATION IN METAL FINISHING AND ELECTROPLATING INDUSTRIES[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2000, 1(1): 39-47.