000256938 001__ 256938
000256938 005__ 20190619220045.0
000256938 037__ $$aARTICLE
000256938 245__ $$aInnovative design and multi-objective optimization of hybrid reverse osmosis and multi-stage flash desalination plants
000256938 260__ $$c2007
000256938 269__ $$a2007
000256938 336__ $$aJournal Articles
000256938 520__ $$aThe selection of an hybrid MSF/RO desalination plant depends on many factors, such as capital costs, electricity consumption, water conversion rate and local requirements. In order to provide the necessary information for the decision process, stand-alone reverse osmosis or multi-stage °ash designs and alternative hybrid congurations must be characterized, optimized and compared on a sound basis. The aim of this paper is to present a computer-aided method, for the design and optimization of hybrid desalination systems. The optimization is carried out on technical, economical and environmental performance indicators in a multi-objective optimization framework. The approach is based on the conceptual decomposition of the MINLP design problem into two sub-problems. The network design problem is solved using conventional MILP solvers. The master problem, which consists in generating the list of available equipments, is solved using a multi-objective evolutionary algorithm. The results of this strategy are illustrated in an industrial case study.
000256938 6531_ $$aHybrid desalination
000256938 6531_ $$aReverse osmosis (RO)
000256938 6531_ $$aMulti-Stage Flash (MSF)
000256938 6531_ $$aSuperstructure
000256938 6531_ $$aMulti-objective optimization
000256938 700__ $$g168810$$aVince, François$$0240142
000256938 700__ $$g140973$$aMaréchal, François$$0240374
000256938 700__ $$aBreant, philippe
000256938 700__ $$aAoustin, Emmanuelle
000256938 8560_ $$fsimon.marechal@epfl.ch
000256938 8564_ $$uhttps://infoscience.epfl.ch/record/256938/files/Article_CHISA_517_Vince.pdf$$zPOSTPRINT$$s1842850
000256938 909C0 $$msimon.marechal@epfl.ch$$msylvie.dubuis@epfl.ch$$mfrancois.marechal@epfl.ch$$xU12691$$pIPESE$$0252481
000256938 909CO $$qGLOBAL_SET$$pSTI$$particle$$ooai:infoscience.epfl.ch:256938
000256938 960__ $$asimon.marechal@epfl.ch
000256938 961__ $$anoemi.cobolet@epfl.ch
000256938 973__ $$aEPFL$$sPUBLISHED$$rREVIEWED
000256938 980__ $$aARTICLE
000256938 981__ $$aoverwrite