Effect of reliability considerations on the optimal synthesis, design and operation of a cogeneration system

Frangopoulos, CA; Dimopoulos, GG

dc.contributor.author	Frangopoulos, CA	en
dc.contributor.author	Dimopoulos, GG	en
dc.date.accessioned	2014-03-01T01:20:17Z
dc.date.available	2014-03-01T01:20:17Z
dc.date.issued	2004	en
dc.identifier.issn	0360-5442	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15884
dc.subject	Decision Making	en
dc.subject	Energy System	en
dc.subject	Genetic Algorithm	en
dc.subject	Optimal Solution	en
dc.subject	Optimization Problem	en
dc.subject	Profitability	en
dc.subject	Reliability Analysis	en
dc.subject	State Space Methods	en
dc.subject	Time Varying	en
dc.subject.classification	Thermodynamics	en
dc.subject.classification	Energy & Fuels	en
dc.subject.other	Costs	en
dc.subject.other	Decision making	en
dc.subject.other	Genetic algorithms	en
dc.subject.other	Redundancy	en
dc.subject.other	State space methods	en
dc.subject.other	Energy systems	en
dc.subject.other	Intelligent functional approach (IFA)	en
dc.subject.other	Reliability	en
dc.subject.other	cogeneration	en
dc.subject.other	design	en
dc.subject.other	operation	en
dc.subject.other	synthesis	en
dc.title	Effect of reliability considerations on the optimal synthesis, design and operation of a cogeneration system	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0360-5442(02)00031-2	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0360-5442(02)00031-2	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	In most of the publications on optimization of energy systems, it is considered that the equipment is available for operation at any instant of time (i.e. it is not subject to failure) except, perhaps, of predetermined periods of maintenance. Thus, it is left to the designer to decide empirically how to provide the system with redundancy, which is necessary in case of equipment failure. However, in this way, the final configuration may not be optimal. In the present work, reliability and availability are introduced in the thermoeconomic model of the system, so that redundancy is embedded in the optimal solution; in addition, more realistic values are obtained for the cost and profit, if any. The state-space method (SSM) of reliability analysis is used. The optimization problem is formulated at two levels: (A) synthesis and design, (B) operation under time-varying conditions. For the solution of the problem at level A and also at level B with no failure, a genetic algorithm coupled with a deterministic one is used. In case of partial failure, the optimization problem is solved by the Intelligent Functional Approach (IFA). The use of IFA combined with SSM is proved to be very efficient for decision making regarding systems under partial failure. It turned out that reliability aspects have a direct and significant impact on the optimal result at each one of the three levels: synthesis, design and operation. (C) 2002 Elsevier Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Energy	en
dc.identifier.doi	10.1016/S0360-5442(02)00031-2	en
dc.identifier.isi	ISI:000188868500002	en
dc.identifier.volume	29	en
dc.identifier.issue	3	en
dc.identifier.spage	309	en
dc.identifier.epage	329	en