DocumentCode :
497020
Title :
Synthesis of Water Allocation Network in Process Industries
Author :
Zhou Jianren ; Cui Zhaojie
Author_Institution :
Sch. of Environ. Sci. & Eng., Shandong Univ., Jinan, China
Volume :
2
fYear :
2009
fDate :
4-5 July 2009
Firstpage :
662
Lastpage :
665
Abstract :
For many water-intensive process industries, process integration approaches can reduce both freshwater consumption and effluent generation by water reuse/recycle. Based on Source/Sink representation, this paper presents a mathematical programming model for the synthesis of water allocation network (WAN) to achieve the minimum water targets. Discharged water from each unit as well as the fresh feed is considered as water sources, whereas units that accept water are considered as sinks. The method combines water-using processes with water treatment operations into a single network. Embedding all the network configurations of source-sink matches, the model is formulated as a linear programming (LP) with flow rate and concentration constraints, which is then optimized by using commercial software Lingo v.9. Finally, a case study of a paper mill is implemented to show the effectiveness of the model. An 18% reduction of freshwater usage and optimal WAN are obtained.
Keywords :
environmental science computing; linear programming; recycling; water treatment; commercial software Lingo v.9; freshwater consumption; linear programming; mathematical programming model; process integration; recycling; water allocation network synthesis; water reuse; water treatment operations; water-intensive process industries; Effluents; Feeds; Linear programming; Mathematical model; Mathematical programming; Network synthesis; Recycling; Water conservation; Water resources; Wide area networks; Linear Programming (LP); process integration; water allocation network; water minimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
Type :
conf
DOI :
10.1109/ESIAT.2009.245
Filename :
5199979
Link To Document :
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