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dc.contributor.authorSanjari, Mohammad Javad
dc.contributor.authorKarami, Hossein
dc.contributor.authorGooi, Hoay Beng
dc.date.accessioned2021-11-03T06:11:11Z
dc.date.available2021-11-03T06:11:11Z
dc.date.issued2017
dc.identifier.issn1551-3203
dc.identifier.doi10.1109/TII.2017.2651879
dc.identifier.urihttp://hdl.handle.net/10072/409736
dc.description.abstractOnline optimal control of a multicarrier home energy system, including a fuel cell (FC) with combined heat and power functionality, a furnace, and a battery as an energy storage system, is presented in this paper. An appropriately defined objective function (OF) is formulated to address the operation costs of the home energy system by considering the electrical time-of-use price and time-varying electrical and thermal demand. To determine the optimal control strategy of the FC, the defined OF is solved analytically to reach a closed-form solution for the optimal operation of the FC, which results in the global optimum compared with the near-optimal point in previous works of FC scheduling. To attain the whole system optimal operation, a rule-based solution for the optimal operation of the battery is proposed according to its characteristics. The proposed method is applied to a realistic case study including real load demand and experimentally verified data of the FC. The results are compared with previous approaches, in which optimization techniques have been used to achieve near-optimal scheduling of FC with/without a battery. It is shown that the proposed control strategy results in more exact scheduling and can be applied successfully in real applications.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherIEEE
dc.relation.ispartofpagefrom1586
dc.relation.ispartofpageto1597
dc.relation.ispartofissue4
dc.relation.ispartofjournalIEEE Transactions on Industrial Informatics
dc.relation.ispartofvolume13
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchcode40
dc.subject.keywordsScience & Technology
dc.subject.keywordsTechnology
dc.subject.keywordsAutomation & Control Systems
dc.subject.keywordsComputer Science, Interdisciplinary Applications
dc.subject.keywordsEngineering, Industrial
dc.titleAnalytical rule-based approach to online optimal control of smart residential energy system
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationSanjari, MJ; Karami, H; Gooi, HB, Analytical rule-based approach to online optimal control of smart residential energy system, IEEE Transactions on Industrial Informatics, 2017, 13 (4), pp. 1586-1597
dc.date.updated2021-11-03T06:09:51Z
gro.hasfulltextNo Full Text
gro.griffith.authorSanjari, Mohammad


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