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dc.contributor.authorKarami, H
dc.contributor.authorSanjari, MJ
dc.contributor.authorGooi, HB
dc.contributor.authorGharehpetian, GB
dc.contributor.authorGuerrero, JM
dc.description.abstractIn this paper the combined heat and power functionality of a fuel-cell in a residential hybrid energy system, including a battery, is studied. The demand uncertainties are modeled by investigating the stochastic load behavior by applying Monte Carlo simulation. The colonial competitive algorithm is adopted to the hybrid energy system scheduling problem and different energy resources are optimally scheduled to have optimal operating cost of hybrid energy system. In order to show the effectiveness of the colonial competitive algorithm, the results are compared with the results of the harmony search algorithm. The optimized scheduling of different energy resources is listed in an efficient look-up table for all time intervals. The effects of time of use and the battery efficiency and its size are investigated on the operating cost of the hybrid energy system. The results of this paper are expected to be used effectively in a real hybrid energy system.
dc.relation.ispartofjournalEnergy Conversion and Management
dc.subject.fieldofresearchMechanical engineering
dc.subject.keywordsScience & Technology
dc.subject.keywordsPhysical Sciences
dc.subject.keywordsEnergy & Fuels
dc.titleStochastic analysis of residential micro combined heat and power system
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationKarami, H; Sanjari, MJ; Gooi, HB; Gharehpetian, GB; Guerrero, JM, Stochastic analysis of residential micro combined heat and power system, Energy Conversion and Management, 2017, 138, pp. 190-198
gro.hasfulltextNo Full Text
gro.griffith.authorSanjari, Mohammad

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