000166744 001__ 166744
000166744 005__ 20190316235141.0
000166744 037__ $$aCONF
000166744 245__ $$aMulti-Objective Optimization of Biomass Conversion Technologies by Using Evolutionary Algorithm and Mixed Integer Linear Programming (MILP)
000166744 269__ $$a2011
000166744 260__ $$c2011
000166744 336__ $$aConference Papers
000166744 520__ $$aThe design and operation of energy systems are key issues for matching the energy supply and consumption. Moreover, in the present context of finding ways to decrease CO2 emission, poly-generation technologies, together with the integration of renewable energy resources, have a high potential for CO2 emission reduction. An optimisation model and systematic procedure to select, size and operate a poly-generation plant are developed and presented in this paper. In the optimisation model the integration of biomass resources is mainly investigated. Several options for integrating biomass in the energy system, namely back pressure steam turbine, biomass ranking cycle (BRC), biomass integrated gasification gas engine (BIGGE), biomass integrated gasification gas turbine, production of synthetic natural gas (SNG) and biomass integrated gasification combined cycle (BIGCC), are investigated in this paper. The goal is to minimize costs and CO2 emission simultaneously with a multi-objective evolutionary algorithm (QMOO) and a Mixed Integer Linear Programming (MILP). Finally the proposed model demonstrated by means of a case study. The results shown the simultaneous production of electricity and heat with biomass and natural gas are reliable upon the established assumptions. Besides, higher primary energy savings and CO2 emission reduction are obtained through the gradual increase of renewable energy sources compare to the natural gas usage.
000166744 6531_ $$aPoly-generation systems
000166744 6531_ $$aCO2 mitigation
000166744 6531_ $$aBiomass conversion technologies
000166744 6531_ $$aEvolutionary algorithm
000166744 6531_ $$aMixed Integer Linear Programming
000166744 700__ $$0242388$$g194426$$aFazlollahi, Samira
000166744 700__ $$0240374$$g140973$$aMaréchal, François
000166744 700__ $$aObrecbska, Magdalena
000166744 700__ $$aMarkowska, Julia
000166744 7112_ $$dMarch 30-April-1, 2011$$cTarragona, Spain$$aEuropean Conference on Polygeneration
000166744 8564_ $$uhttps://infoscience.epfl.ch/record/166744/files/samira_fazlollahi_POLY-84.pdf$$zPostprint$$s618709$$yPostprint
000166744 909C0 $$xU10315$$0252044$$pLENI
000166744 909C0 $$0252481$$pIPESE$$xU12691
000166744 909CO $$qGLOBAL_SET$$pconf$$pSTI$$ooai:infoscience.tind.io:166744
000166744 917Z8 $$x194426
000166744 917Z8 $$x194426
000166744 917Z8 $$x194426
000166744 917Z8 $$x194426
000166744 917Z8 $$x194426
000166744 917Z8 $$x140973
000166744 937__ $$aEPFL-CONF-166744
000166744 973__ $$rNON-REVIEWED$$sPUBLISHED$$aEPFL
000166744 980__ $$aCONF