Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104297
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dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorHe, Cen_US
dc.creatorZhang, Qen_US
dc.creatorRen, Jen_US
dc.creatorLi, Zen_US
dc.date.accessioned2024-02-05T08:47:56Z-
dc.date.available2024-02-05T08:47:56Z-
dc.identifier.issn0360-5442en_US
dc.identifier.urihttp://hdl.handle.net/10397/104297-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.rights© 2017 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication He, C., Zhang, Q., Ren, J., & Li, Z. (2017). Combined cooling heating and power systems: Sustainability assessment under uncertainties. Energy, 139, 755–766 is available at https://doi.org/10.1016/j.energy.2017.08.007.en_US
dc.subjectAnalytic network process (ANP)en_US
dc.subjectCombined cooling, heating and power (CCHP)en_US
dc.subjectIntervalen_US
dc.subjectTechnique for order of preference by similarity to ideal solution (TOPSIS)en_US
dc.titleCombined cooling heating and power systems : sustainability assessment under uncertaintiesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage755en_US
dc.identifier.epage766en_US
dc.identifier.volume139en_US
dc.identifier.doi10.1016/j.energy.2017.08.007en_US
dcterms.abstractCombined cooling, heating, and power (CCHP) systems have been recognized as a promising technology for energy efficiency improvement and emissions mitigation. This study aims at developing a multi-criteria sustainability assessment method to prioritize the alternative CCHP systems under uncertainties. An interval analytic network process (ANP) that can address the vagueness, ambiguity, and subjectivity existing in human judgments and consider the interdependences and interactions among the evaluation criteria was used to determine the weights of the criteria for sustainability assessment, and an interval analytic hierarchy process (AHP) which is a structured technique for organizing and analyzing complex decisions was also employed to quantify the relative performances of the alternative CCHP systems with respect to the soft criteria. An interval technique for order of preference by similarity to ideal solution (TOPSIS) was employed to rank the alternative CCHP systems according to their sustainability. An illustrative case including five CCHP systems has been studied using the proposed method. A solid electrolyte fuel cell (SOFC) combined with a waste heat afterburning absorption refrigerator was recognized as the most sustainable scenario. In addition, the results have been further investigated through sensitivity analysis and validated by the weighted sum method.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEnergy, 15 Nov. 2017, v. 139, p. 755-766en_US
dcterms.isPartOfEnergyen_US
dcterms.issued2017-11-15-
dc.identifier.scopus2-s2.0-85031998836-
dc.identifier.eissn1873-6785en_US
dc.description.validate202402 bcch-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberISE-0748-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNatural Science Foundation of Henan Provinceen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6790700-
dc.description.oaCategoryGreen (AAM)en_US
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