000109438 001__ 109438
000109438 005__ 20190316234019.0
000109438 037__ $$aCONF
000109438 245__ $$aEvaluation of Natural Gas Combined Cycle Plants in China through Environomic Modeling and Multi-objective Optimization
000109438 260__ $$c2007
000109438 269__ $$a2007
000109438 336__ $$aConference Papers
000109438 520__ $$aDue to the requirements of lower capital investment, higher operational flexibility, and the pressures from environmental legislations on local pollutants and global greenhouse gases (GHGs) emissions, power generation market is in favour of natural gas based electricity production in many regions, which is expected to be tripled between now and 2030. This trend will be particularly marked in developing countries such as China, where electricity demand is expected to rise most rapidly, while their local environment has been or is being severely damaged by heavily using low efficiency high polluted pulverized coal plants. Such a fuel switching can both enhance the local environment protection, and reduce the COz emissions, however, at a higher and more dynamic power generation cost. In this paper, the Pareto Optimal solutions regarding to two objectives of levelized cost of electricity and the associated COz emissions in relation to the design configurations and technical process parameters are obtained and presented for a natural gas combined cycle project in China, based on the developed 'environomic' models and a multiobjective optimizer. The obtained Pareto Optimal Frontiers tend to supply a flexible tool for handling the dynamics of important economic/market and environmental factors, so that the most proper design under a given circumstance can be easily identified through post-optimization simulation.Based upon which, the Clean Development Mechanism potentials of NGCC project in China are also discussed.
000109438 6531_ $$aEvaluation
000109438 6531_ $$aNatural gas
000109438 6531_ $$aCycle plants
000109438 6531_ $$aChina
000109438 6531_ $$aEnvironomic Modeling
000109438 6531_ $$aMulti-objective Optimization
000109438 700__ $$aLi, Hongtao
000109438 700__ $$0240374$$aMaréchal, François$$g140973
000109438 700__ $$0240152$$aFavrat, Daniel$$g105085
000109438 7112_ $$aPRES 2007$$cIschia Italie$$d24 au 27 juin 2007
000109438 8564_ $$zURL
000109438 8564_ $$s101806$$uhttps://infoscience.epfl.ch/record/109438/files/PRES2007.pdf$$zn/a
000109438 909C0 $$0252044$$pLENI$$xU10315
000109438 909C0 $$0252481$$pIPESE$$xU12691
000109438 909CO $$ooai:infoscience.tind.io:109438$$pconf$$pSTI$$qGLOBAL_SET
000109438 937__ $$aLENI-CONF-2007-004
000109438 973__ $$aEPFL$$rREVIEWED$$sSUBMITTED
000109438 980__ $$aCONF