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Journal of Applied Sciences

Year: 2006 | Volume: 6 | Issue: 11 | Page No.: 2386-2393
DOI: 10.3923/jas.2006.2386.2393
Optimization of Water Consumption in Industrial Systems Using Linear and Nonlinear Programming
M. Saeedi and M. Hosseinzadeh

Abstract: The awareness of the danger to the environment resulting from the over extraction and stricter discharge regulations, has caused the price of freshwater and waste treatment facilities to rise. Therefore, there is a growing interest in the process industries to reduce both freshwater consumption and wastewater production. Water minimization techniques can effectively reduce overall fresh water demand and the overall effluent generated as well as lower costs of fresh water and effluent treatment costs. In the context of the paper two different situations are considered, re-use and regeneration re-use. The optimization model is formulated for single and multiple contaminant(s) system in the class of Linear Programming (LP) and Nonlinear Programming (NLP), respectively. For this a superstructure that entails all possible recycle and reuse possibilities is used as the basis for the formulation. After that GUI was created for input data and showing results of optimization. With this results water network can be designed among water using operations. The proposed method was compared with several literature examples for validity. Results showed that this program can find the same or better results in some test problems.

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How to cite this article
M. Saeedi and M. Hosseinzadeh, 2006. Optimization of Water Consumption in Industrial Systems Using Linear and Nonlinear Programming. Journal of Applied Sciences, 6: 2386-2393.

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