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Evolutionary algorithms for multi-objective energetic and economic optimization in thermal system design
Department of Mechanical Engineering, University of Padova.
2002 (English)In: Energy, ISSN 0360-5442, E-ISSN 1873-6785, Vol. 27, no 6, p. 549-567Article in journal (Refereed) Published
Abstract [en]

Thermoeconomic analyses in thermal system design are always focused on the economic objective. However, knowledge of only the economic minimum may not be sufficient in the decision making process, since solutions with a higher thermodynamic efficiency, in spite of small increases in total costs, may result in much more interesting designs due to changes in energy market prices or in energy policies. This paper suggests how to perform a multi-objective optimization in order to find solutions that simultaneously satisfy exergetic and economic objectives. This corresponds to a search for the set of Pareto optimal solutions with respect to the two competing objectives. The optimization process is carried out by an evolutionary algorithm, that features a new diversity preserving mechanism using as a test case the well-known CGAM problem.

Place, publisher, year, edition, pages
2002. Vol. 27, no 6, p. 549-567
Identifiers
URN: urn:nbn:se:ltu:diva-9996DOI: 10.1016/S0360-5442(02)00009-9Local ID: 8bdf1aca-65ff-442c-b5c0-07139c5a35b3OAI: oai:DiVA.org:ltu-9996DiVA, id: diva2:982935
Note
Upprättat; 2012; 20120815 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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Toffolo, Andrea

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