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dc.contributor.authorWang, Haichao
dc.contributor.authorLahdelma, Risto
dc.contributor.authorSalminen, Pekka
dc.date.accessioned2018-10-30T12:12:14Z
dc.date.available2019-04-21T21:35:36Z
dc.date.issued2018fi
dc.identifier.citationWang, H., Lahdelma, R., & Salminen, P. (2018). Stochastic multicriteria evaluation of district heating systems considering the uncertainties. <em>Science and Technology for the Built Environment</em>, 24 (8), 830-838. <a href="https://doi.org/10.1080/23744731.2018.1457399">doi:10.1080/23744731.2018.1457399</a>fi
dc.identifier.otherTUTKAID_77203
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/60041
dc.description.abstractIt is of great importance to choose a suitable district heating (DH) system for a specific DH area from the economics, environment and energy (3E) points of view. This is a multicriteria decision making problem, in which the criteria performance values (PVs) and weighting are characterized by uncertain or imprecise information. In this study, seven candidate DH systems are evaluated from the viewpoints of 3E by the stochastic multicriteria acceptability analysis (SMAA) method. SMAA is able to handle the uncertainties of the criteria PVs and the weighting at the same time. These uncertainties are very common and typical in real-life, but in most cases are not treated judiciously or just neglected. In this paper, we propose to use a Probability Distribution Function (PDF), a Monte Carlo simulation in combination with the concept of Feasible Weight Space (FWS) to handle the uncertainties. The model is demonstrated in a case study in China and the results show that the proposed method is capable to give more reliable and flexible results when the uncertainties are considered.fi
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherTaylor and Francis Inc.
dc.relation.ispartofseriesScience and Technology for the Built Environment
dc.rightsIn Copyright
dc.subject.otherkaukolämmitysfi
dc.subject.otherpäätösanalyysifi
dc.subject.otherstokastinen monikriteerinen arvostusanalyysifi
dc.subject.otherstochastic multicriteria evaluationfi
dc.subject.otherdistrict heatingfi
dc.subject.otheruncertaintyfi
dc.titleStochastic multicriteria evaluation of district heating systems considering the uncertaintiesfi
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201810224475
dc.contributor.laitosKauppakorkeakoulufi
dc.contributor.laitosSchool of Business and Economicsen
dc.contributor.oppiaineBasic or discovery scholarship
dc.contributor.oppiaineLaskentatoimi
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2018-10-22T09:15:16Z
dc.description.reviewstatuspeerReviewed
dc.format.pagerange830-838
dc.relation.issn2374-4731
dc.relation.numberinseries8
dc.relation.volume24
dc.type.versionacceptedVersion
dc.rights.copyright© 2018 ASHRAE
dc.rights.accesslevelopenAccessfi
dc.format.contentfulltext
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1080/23744731.2018.1457399


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