Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/70919
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dc.contributorDepartment of Building Services Engineering-
dc.creatorKang, SS-
dc.creatorLu, L-
dc.creatorLi, HQ-
dc.creatorZhang, GQ-
dc.date.accessioned2017-12-28T06:18:29Z-
dc.date.available2017-12-28T06:18:29Z-
dc.identifier.issn1876-6102-
dc.identifier.urihttp://hdl.handle.net/10397/70919-
dc.description8th International Conference on Applied Energy (ICAE), Oct 08-11, 2016, Beijing, Peoples R. Chinaen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Kang, S. S., Lu, L., Li, H. Q., & Zhang, G. Q. (2017). A novel CHP-hP coupling system and its optimization analysis by genetic algorithm. Energy Procedia, 105, 2089-2094 is available athttps://dx.doi.org/10.1016/j.egypro.2017.03.588en_US
dc.subjectCombined heating and power systemen_US
dc.subjectHeat pumpen_US
dc.subjectIntegration systemen_US
dc.subjectPerformance analysisen_US
dc.subjectMulti-objective optimizationen_US
dc.titleA novel CHP-hP coupling system and its optimization analysis by genetic algorithmen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2089-
dc.identifier.epage2094-
dc.identifier.volume105-
dc.identifier.doi10.1016/j.egypro.2017.03.588-
dcterms.abstractCombined heating and power system has been applied widely due to its energetic and environmental characteristics. Heat pump system is also regarded as a promising energy-saving and environment-friendly technology. This paper proposed a novel coupling system by integrating the combined heating and power system with the heat pump system. The performance characteristics of the novel coupling system are investigated by the Aspen plus software based on a case system. The results show that the energetic efficiency and exergetic efficiency are 142.2% and 22.6% respectively, increasing by 3.9% and 3.7% respectively, compared with the ones of reference system. In order to make the novel coupling system more practical, the multi-objective optimal model is developed based on the primary energy saving ratio, carbon dioxide emission reduction ratio and annual total cost saving ratio simultaneously. The key parameters, such as the capacity of power generation unit and the outlet temperature from the heat pump, are optimized by genetic algorithm so as to maximize the comprehensive performance.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEnergy procedia, 2017, v. 105, no. , p. 2089-2094-
dcterms.isPartOfEnergy procedia-
dcterms.issued2017-
dc.identifier.isiWOS:000404967902031-
dc.identifier.ros2016005848-
dc.relation.conferenceInternational Conference on Applied Energy [ICAE]-
dc.identifier.rosgroupid2016005595-
dc.description.ros2016-2017 > Academic research: refereed > Publication in refereed journal-
dc.description.validatebcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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