Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/95413
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dc.contributorDepartment of Building Environment and Energy Engineeringen_US
dc.creatorTang, Ren_US
dc.creatorWang, Sen_US
dc.creatorGao, DCen_US
dc.creatorShan, Ken_US
dc.date.accessioned2022-09-19T02:00:08Z-
dc.date.available2022-09-19T02:00:08Z-
dc.identifier.issn2374-4731en_US
dc.identifier.urihttp://hdl.handle.net/10397/95413-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rights© 2016 ASHRAEen_US
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in Science and Technology for the Built Environment on 2016-08-13 (published online), available at: http://www.tandfonline.com/10.1080/23744731.2016.1198214.en_US
dc.titleA power limiting control strategy based on adaptive utility function for fast demand response of buildings in smart gridsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage810en_US
dc.identifier.epage819en_US
dc.identifier.volume22en_US
dc.identifier.issue6en_US
dc.identifier.doi10.1080/23744731.2016.1198214en_US
dcterms.abstractPower imbalance in electrical grid operation has become a most critical issue that results in a series of problems to grids and end-users. The end-users at demand side can actually take full advantage of their power reduction potentials to alleviate the power imbalance of an electrical grid. Buildings, as the major energy end-users, could play an important role on power demand response in smart grids. This article presents a fast power demand limiting control strategy in response to the sudden pricing changes or urgent requests of grids within a very short time, i.e., minutes. The basic idea is to shut down some of active chillers during demand response events for immediate power demand reduction. The article focuses on the solutions to address the operation problems caused by the conventional control logics, particularly the disordered flow distribution in chilled water system. A water flow supervisor based on an adaptive utility function is developed for updating the chilled water flow set-point of every individual zone online. The objective is to maintain even indoor air temperature change among all zones during a demand response period. A case study is conducted in a simulation platform to test and validate the novel control strategy. Test results show that the proposed control strategy can achieve fast power reduction after receiving a demand response request. Simultaneously, the proposed control strategy can effectively solve the problem of disordered water distribution and achieve the similar changing profiles of the thermal comfort among different zones under the reduced cooling supply.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationScience and technology for the built environment, 2016, v. 22, no. 6, p. 810-819en_US
dcterms.isPartOfScience and technology for the built environmenten_US
dcterms.issued2016-
dc.identifier.scopus2-s2.0-84981742571-
dc.identifier.eissn2374-474Xen_US
dc.description.validate202209 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberRGC-B2-0908, BEEE-0765-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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