Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30660
DC FieldValueLanguage
dc.contributor.authorKiani-Moghaddam, Mohammad-
dc.contributor.authorSoltani, Mohsen N.-
dc.contributor.authorKalogirou, Soteris A.-
dc.contributor.authorMahian, Omid-
dc.contributor.authorArabkoohsar, Ahmad-
dc.date.accessioned2023-10-18T10:44:07Z-
dc.date.available2023-10-18T10:44:07Z-
dc.date.issued2023-10-15-
dc.identifier.citationEnergy, 2023, vol. 281en_US
dc.identifier.issn03605442-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/30660-
dc.description.abstractThe energy hub (EH) is a promising concept that can accurately evaluate the performance of multi-carrier integrated energy systems (IESs), ranging from a building to a district, city, region, country, or even an international level. Multi-carrier EH-based IESs available in the literature have reached a desirable level of maturity for broad scales. However, there is confusion in the literature that misleads readers regarding multi-carrier EH-based IESs located on limited scales (e.g., buildings or neighborhood level). Furthermore, multi-carrier EH-based IESs studies that involve complexities such as discrete, continuous, or mixed decision-making variables, multiple conflicting objective functions, non-linearity, non-convexity, and discontinuity are affected by different techno-economic, environmental, and social parameters that are uncertain. Ignoring such uncertain input parameters (UIPs) in these studies leads to less adaptable results to realistic conditions. However, their integration is a challenging process intensifying these complexities during studies' modeling, optimization, and decision-making processes. Therefore, this review paper aims to fill these gaps by identifying, classifying, assessing, and prioritizing different UIPs, their analyzing techniques, and solution approaches, solvers, and software for addressing relevant optimization problems to achieve a deeper understanding of current challenges and potential future research, trend, and capacities in multi-carrier EH-based IESs studies.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofEnergyen_US
dc.rights© The Authorsen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBuilding energy systemen_US
dc.subjectEnergy huben_US
dc.subjectMulti-carrier integrated energy systemsen_US
dc.subjectProblem-solving processen_US
dc.subjectUncertaintyen_US
dc.titleA review of neighborhood level multi-carrier energy hubs—uncertainty and problem-solving processen_US
dc.typeArticleen_US
dc.collaborationAalborg Universityen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationXi'an Jiaotong Universityen_US
dc.collaborationTechnical University of Denmarken_US
dc.subject.categoryMechanical Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryDenmarken_US
dc.countryCyprusen_US
dc.countryChinaen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/j.energy.2023.128263en_US
dc.identifier.scopus2-s2.0-85165305915-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85165305915-
dc.relation.volume281en_US
cut.common.academicyear2022-2023en_US
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.journal.journalissn0360-5442-
crisitem.journal.publisherElsevier-
crisitem.author.deptDepartment of Mechanical Engineering and Materials Science and Engineering-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-4497-0602-
crisitem.author.parentorgFaculty of Engineering and Technology-
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