An integrated simulation-optimization modelling approach for sustainability assessment of electricity generation system

dc.check.date2024-01-21
dc.check.infoAccess to this article is restricted until 24 months after publication by request of the publisher.en
dc.contributor.authorAtabaki, Mohammad Saeid
dc.contributor.authorMohammadi, Mohammad
dc.contributor.authorAryanpur, Vahid
dc.contributor.funderIran National Science Foundationen
dc.date.accessioned2022-02-10T14:51:59Z
dc.date.available2022-02-10T14:51:59Z
dc.date.issued2022-01-21
dc.date.updated2022-02-10T14:41:00Z
dc.description.abstractDevising a concrete plan for power supply should conduct the best technology-capacity-time strategy while satisfying fuel, infrastructure, and trading constraints. Addressing sustainability concerning stakeholders' opinions aligned with upstream policies escalates the problem, demanding new reliable frameworks. This paper aims to develop an integrated simulation–optimization decision support system for electricity generation planning. A differential evolution algorithm simulates the future power supply configurations. A linear programming model characterizes the optimal pathways towards those futures. Multi-criteria decision-making methods are also included for determining the preference weights of sustainability indicators and ranking the scenarios. The proposed framework offers a sustainable plan for Iran by 2050. The sustainability criteria are tracked and compared with a business as usual (BAU) scheme. The results show that the broader deployment of wind turbine primarily, solar thermal subsequently, is the major source of difference in the sustainable expansion compared to BAU. Those technologies along with photovoltaics, contribute to 48% of the generation at the end of the planning horizon. However, the findings indicate that even the extensive utilization of renewable energy sources cannot guarantee sustainability improvement all through the planning period. Thus, supply-side plans should be appropriately supported by demand-side strategies.en
dc.description.sponsorshipIran National Science Foundation (grant number 97021772)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid102010en
dc.identifier.citationAtabaki, M. S., Mohammadi, M. and Aryanpur, V. (2022) 'An integrated simulation-optimization modelling approach for sustainability assessment of electricity generation system', Sustainable Energy Technologies and Assessments, 52(Part A), 102010 (20pp). doi: 10.1016/j.seta.2022.102010en
dc.identifier.doi10.1016/j.seta.2022.102010en
dc.identifier.endpage20en
dc.identifier.issn2213-1388
dc.identifier.issuedPart Aen
dc.identifier.journaltitleSustainable Energy Technologies and Assessmentsen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/12552
dc.identifier.volume52en
dc.language.isoenen
dc.publisherElsevier Ltd.en
dc.rights© 2022, Elsevier Ltd. All rights reserved. This manuscript version is made available under the CC BY-NC-ND 4.0 license.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectEvolutionary algorithmen
dc.subjectOptimizationen
dc.subjectRenewable electricityen
dc.subjectSimulationen
dc.subjectSustainabilityen
dc.titleAn integrated simulation-optimization modelling approach for sustainability assessment of electricity generation systemen
dc.typeArticle (peer-reviewed)en
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