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Cooperative stochastic energy management of networked energy hubs considering environmental perspectives

2024-12Artigo científico Acesso aberto
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dc.contributor.authorAkbari, Saeed
dc.contributor.authorHashemi-Dezaki, Hamed
dc.contributor.authorMartins, João
dc.contributor.institutionDEE - Departamento de Engenharia Electrotécnica e de Computadores
dc.contributor.institutionCTS - Centro de Tecnologia e Sistemas
dc.contributor.institutionUNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
dc.contributor.pblElsevier
dc.date.accessioned2025-02-06T21:19:27Z
dc.date.available2025-02-06T21:19:27Z
dc.date.issued2024-12
dc.descriptionPublisher Copyright: © 2024 The Authors
dc.description.abstractEnergy hubs (EHs) aim to increase the flexibility of energy systems by adopting different energy carriers and sources. This paper presents a cooperative stochastic framework for managing networked EHs (NEHs) from an economic-environmental perspective. Scenario preparation techniques, such as Monte Carlo simulation (MCS) and the k-means clustering algorithm, are used to develop scenarios for different sources of uncertainty. Furthermore, the Shapley value is used to allocate coalition gains among NEHs based on their contributions and performance. To distinguish the proposed model from existing literature, several case studies have been conducted to assess its effectiveness. Conducted simulations show that through cooperation, the total cost of EHs and CO2 emissions is reduced by approximately 3 % and 1.8 %, respectively. Moreover, the performed sensitivity analyses indicate the robustness and reliability of the model against input parameters.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent17
dc.format.extent13929317
dc.identifier.doi10.1016/j.egyr.2024.07.015
dc.identifier.issn2352-4847
dc.identifier.otherPURE: 107499703
dc.identifier.otherPURE UUID: 9fc20de6-189f-4c7f-8afd-c287aa794839
dc.identifier.otherScopus: 85200220259
dc.identifier.otherWOS: 001286731400001
dc.identifier.urihttp://hdl.handle.net/10362/178558
dc.identifier.urlhttps://www.scopus.com/pages/publications/85200220259
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/955614/EU
dc.relationResearch and Training Network for Smart and Green Energy Systems and Business Models
dc.subjectCooperative energy management framework
dc.subjectEconomic-environmental concerns
dc.subjectK-means clustering algorithm
dc.subjectNetworked energy hubs
dc.subjectShapley value
dc.subjectGeneral Energy
dc.subjectSDG 13 - Climate Action
dc.titleCooperative stochastic energy management of networked energy hubs considering environmental perspectivesen
dc.typejournal article
degois.publication.firstPage1638
degois.publication.lastPage1654
degois.publication.titleEnergy Reports
degois.publication.volume12
dspace.entity.typePublication
oaire.awardNumber955614
oaire.awardTitleResearch and Training Network for Smart and Green Energy Systems and Business Models
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/955614/EU
oaire.fundingStreamH2020
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccess
relation.isProjectOfPublicatione18d91d1-cef4-4d5d-8143-1552a7e5189b
relation.isProjectOfPublication.latestForDiscoverye18d91d1-cef4-4d5d-8143-1552a7e5189b

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