000205466 001__ 205466
000205466 005__ 20180913063003.0
000205466 0247_ $$2doi$$a10.1021/ie5020074
000205466 022__ $$a0888-5885
000205466 02470 $$2ISI$$a000346684400023
000205466 037__ $$aARTICLE
000205466 245__ $$aMultiobjective Optimization of Utility Plants under Several Environmental Indicators Using an MILP-Based Dimensionality Reduction Approach
000205466 260__ $$aWashington$$bAmer Chemical Soc$$c2014
000205466 269__ $$a2014
000205466 300__ $$a14
000205466 336__ $$aJournal Articles
000205466 520__ $$aWe address the multicriterion optimization of utility plants with economic and environmental concerns. Rather than optimizing a single environmental metric, which was the traditional approach followed in the past, we focus on optimizing these systems considering simultaneously several environmental indicators based on life cycle assessment (LCA) principles. We combine a multiobjective optimization model with an MILP-based dimensionality reduction method that allows identifying key environmental metrics that exhibit the property that their optimization will very likely improve the system simultaneously in all of the remaining damage categories. This analysis reduces the complexity of the underlying multiobjective optimization problem from the viewpoints of generation and interpretation of the solutions. The capabilities of the proposed method are illustrated through a case study based on a real industrial scenario, in which we show that a small number of environmental indicators suffice to optimize the environmental performance of the plant.
000205466 700__ $$aVaskan, P.$$uUniv Rovira & Virgili, Dept Engn Quim EQ, ETSEQ, E-43007 Tarragona, Spain
000205466 700__ $$aGuillen-Gosalbez, G.$$uUniv Rovira & Virgili, Dept Engn Quim EQ, ETSEQ, E-43007 Tarragona, Spain
000205466 700__ $$aTurkay, M.
000205466 700__ $$aJimenez, L.$$uUniv Rovira & Virgili, Dept Engn Quim EQ, ETSEQ, E-43007 Tarragona, Spain
000205466 773__ $$j53$$k50$$q19559-19572$$tIndustrial & Engineering Chemistry Research
000205466 909C0 $$0252430$$pIIC$$xU10229
000205466 909CO $$ooai:infoscience.tind.io:205466$$particle$$pENAC
000205466 937__ $$aEPFL-ARTICLE-205466
000205466 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000205466 980__ $$aARTICLE