Multi-objective optimization of a trigeneration plant

Kavvadias, KC; Maroulis, ZB

dc.contributor.author	Kavvadias, KC	en
dc.contributor.author	Maroulis, ZB	en
dc.date.accessioned	2014-03-01T01:33:46Z
dc.date.available	2014-03-01T01:33:46Z
dc.date.issued	2010	en
dc.identifier.issn	0301-4215	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/20588
dc.subject	Genetic algorithm	en
dc.subject	Operation strategies	en
dc.subject	Pareto	en
dc.subject.classification	Energy & Fuels	en
dc.subject.classification	Environmental Sciences	en
dc.subject.classification	Environmental Studies	en
dc.subject.other	Design procedure	en
dc.subject.other	Environmental performance indicators	en
dc.subject.other	Fluctuating energy	en
dc.subject.other	Multi objective evolutionary algorithms	en
dc.subject.other	Operational strategies	en
dc.subject.other	Realistic conditions	en
dc.subject.other	Tri-generation plants	en
dc.subject.other	Trigeneration systems	en
dc.subject.other	Benchmarking	en
dc.subject.other	Construction equipment	en
dc.subject.other	Evolutionary algorithms	en
dc.subject.other	Wireless telecommunication systems	en
dc.subject.other	Multiobjective optimization	en
dc.subject.other	design	en
dc.subject.other	genetic algorithm	en
dc.subject.other	multiobjective programming	en
dc.subject.other	optimization	en
dc.subject.other	power plant	en
dc.title	Multi-objective optimization of a trigeneration plant	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.enpol.2009.10.046	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.enpol.2009.10.046	en
heal.language	English	en
heal.publicationDate	2010	en
heal.abstract	A multi-objective optimization method was developed for the design of trigeneration plants. The optimization is carried out on technical, economical, energetic and environmental performance indicators in a multi-objective optimization framework. Both construction (equipment sizes) and discrete operational (pricing tariff schemes and operational strategy) variables were optimized based on realistic conditions. The problem is solved using a multi-objective evolutionary algorithm. An example of a trigeneration system in a 300 bed hospital was studied in detail in order to demonstrate the design procedure, the economic and energetic performance of the plant, as well as the effectiveness of the proposed approach even under fluctuating energy prices. (C) 2009 Elsevier Ltd. All rights reserved.	en
heal.publisher	ELSEVIER SCI LTD	en
heal.journalName	Energy Policy	en
dc.identifier.doi	10.1016/j.enpol.2009.10.046	en
dc.identifier.isi	ISI:000273985700029	en
dc.identifier.volume	38	en
dc.identifier.issue	2	en
dc.identifier.spage	945	en
dc.identifier.epage	954	en