AN AUTOMATED TOOL FOR SINGLE AND MULTI-OBJECTIVE OPTIMIZATION FOR DESIGNING COMBINED CYCLE GAS TURBINE POWER PLANTS

Bonataki, E; Giannakoglou, K

dc.contributor.author	Bonataki, E	en
dc.contributor.author	Giannakoglou, K	en
dc.date.accessioned	2014-03-01T01:51:28Z
dc.date.available	2014-03-01T01:51:28Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/26305
dc.relation.uri	http://velos0.ltt.mech.ntua.gr/research/pdfs/3_062.pdf	en
dc.subject	Computational Method	en
dc.subject	Evolutionary Algorithm	en
dc.subject	Game Theory	en
dc.subject	Genetic Algorithm	en
dc.subject	Multi Objective Optimization	en
dc.subject	Natural Gas	en
dc.subject	Optimal Method	en
dc.subject	pareto front	en
dc.subject	Power Plant	en
dc.subject	Thermal Analysis	en
dc.subject	Combined Cycle	en
dc.subject	Combined Cycle Gas Turbine	en
dc.subject	Heat Recovery Steam Generator	en
dc.title	AN AUTOMATED TOOL FOR SINGLE AND MULTI-OBJECTIVE OPTIMIZATION FOR DESIGNING COMBINED CYCLE GAS TURBINE POWER PLANTS	en
heal.type	journalArticle	en
heal.publicationDate	2002	en
heal.abstract	Modern optimization methods based on evolutionary algorithms and game theory are employed for the design of optimal Combined Cycle Gas Turbine Power Plants with dual-pressure heat recovery steam generators. They will be supported by computational methods for their thermal analysis and a simple model for computing their capital cost. Results will be presented for two power plants, a diesel oil	en