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Optimization of a seasonal storage solar system using Genetic Algorithms

dc.contributor.authorDurão, Bruno
dc.contributor.authorJoyce, A
dc.contributor.authorMendes, J. Farinha
dc.date.accessioned2014-02-04T14:48:21Z
dc.date.available2014-02-04T14:48:21Z
dc.date.issued2014
dc.description.abstractSeasonal storage solar systems are capable of storing thermal energy, from one season to another (typically a few months). In the present paper solar thermal energy generated during summer time, is stored for use in winter time (typically 120 days). The analyzed system consists of solar thermal collectors and a sensible heat storage device using water as storing media. The area of solar collector and the capacity of the storage tank are the basic sizing parameters, which have to meet the requirements of the load. The present case study considers the utilization of the seasonal storage solar system for heating greenhouses, with a 50 kW heating load. The whole system was modeled using a dynamic modeling tool and the sizing parameters were optimized through a Genetic Algorithm process. This optimization process was compared with other optimization methods by a pattern search, and the results showed the benefits of the Genetic Algorithm process.por
dc.identifier.citationDurão, B.; Joyce, A.; Mendes, J. Farinha. Optimization of a seasonal storage solar system using Genetic Algorithms. In: Solar Energy, 2014, Vol. 101, p. 160-166por
dc.identifier.issn0038-092X
dc.identifier.urihttp://hdl.handle.net/10400.9/2170
dc.language.isoengpor
dc.publisherElsevierpor
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.solener.2013.12.031por
dc.subjectSolar energypor
dc.subjectThermal energy storagepor
dc.subjectSeasonal Storagepor
dc.subjectGenetic Algorithmspor
dc.titleOptimization of a seasonal storage solar system using Genetic Algorithmspor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage166por
oaire.citation.startPage160por
oaire.citation.titleSolar Energypor
oaire.citation.volume101por
person.familyNameJoyce
person.givenNameAntónio
person.identifier.ciencia-id2115-31CB-2983
person.identifier.orcid0000-0003-1660-6982
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublication007751ca-9d10-48a0-983e-a90d77a81bb0
relation.isAuthorOfPublication.latestForDiscovery007751ca-9d10-48a0-983e-a90d77a81bb0

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