000087987 001__ 87987
000087987 005__ 20190316233811.0
000087987 037__ $$aCONF
000087987 245__ $$aThermo economic analysis for the optimal conceptual design of biomass gasification energy conversion systems
000087987 260__ $$c2006
000087987 269__ $$a2006
000087987 336__ $$aConference Papers
000087987 520__ $$aThis study addresses the thermo economic assessment of a biomass gasification, gas cleaning and energy conversion process, with particular attention given to tar control and the communication of the process design rationale. Product distributions were estimated with a parametric stoichiometric equilibrium model, derived from air gasification data. A multi- objective optimisation problem was defined for a superstructure of energy flow diagrams encompassing several alternatives for each processing step. The trade-off between total investment costs and the exergy efficiency of electricity production was obtained, and analysed to identify operating conditions that minimise tar formation so as to prevent equipment fouling. The use of air, oxygen or steam fluidised bed gasifiers, closed coupled to an internal combustion engine combined cycle (ICE-CC) requiring cold gas cleaning, or gas turbine combined cycle (GT-CC) requiring hot gas cleaning have been considered. Optimisation results suggest that the trade-off for steam gasification is the best (maximum efficiency found for ICE-CC at 34%, minimum cost for GT-CC at 14.3M€ for a plant capacity of 20 MWth,wood). However, results also indicate that further adaptation of the reaction model is necessary to properly assess product formation for other oxidants than air. For air gasification, maximum efficiency is obtained with ICE-CC (33%) and minimum costs for GT-CC at 17.1M€, and reaction model interpolation results are satisfactory. The optimal conditions for ICE-CC (low pressure and high temperatures) also favour minimal tar formation. Lastly, the formulation of this optimisation superstructure has been documented with an Integration Definition Function Modelling (IDEF0) activity model, by use of a "Plan Do Check Action" modelling template, to record and communicate the rationale of this conceptual design problem by gradual exposition of detail. This provides an explicit representation of preliminary design problem requirements, and also facilitates the interpretation of results and the detailed planning of subsequent design phases.
000087987 6531_ $$abioenergy
000087987 6531_ $$agasification
000087987 6531_ $$amodelisation
000087987 6531_ $$aoptimisation
000087987 6531_ $$aprocess design
000087987 6531_ $$atar control
000087987 700__ $$aBrown, David
000087987 700__ $$0242373$$g136107$$aGassner, Martin
000087987 700__ $$aFuchino, Tetsuo
000087987 700__ $$aMaréchal, François$$g140973$$0240374
000087987 7112_ $$d27.8.-31.8.$$cPrague$$aPRES 2006, 9th Conference on Process Integration, Modelling and Optimisation
000087987 8564_ $$zURL
000087987 8564_ $$uhttps://infoscience.epfl.ch/record/87987/files/PRES-DB-6-06-13.pdf$$zn/a$$s318379
000087987 909C0 $$xU10315$$0252044$$pLENI
000087987 909C0 $$0252481$$pIPESE$$xU12691
000087987 909CO $$qGLOBAL_SET$$pconf$$pSTI$$ooai:infoscience.tind.io:87987
000087987 937__ $$aLENI-CONF-2006-006
000087987 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000087987 980__ $$aCONF