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Techno-Economic Analysis of Renewable-Energy-Based Micro-Grids Considering Incentive Policies

dc.contributor.authorAmini, Shiva
dc.contributor.authorBahramara, Salah
dc.contributor.authorGolpîra, Hêmin
dc.contributor.authorFrancois, Bruno
dc.contributor.authorSoares, João
dc.date.accessioned2023-02-02T11:51:40Z
dc.date.available2023-02-02T11:51:40Z
dc.date.issued2022
dc.description.abstractRenewable-energy-based microgrids (MGs) are being advocated around the world in response to increasing energy demand, high levels of greenhouse gas (GHG) emissions, energy losses, and the depletion of conventional energy resources. However, the high investment cost of the MGs besides the low selling price of the energy to the main grid are two main challenges to realize the MGs in developing countries such as Iran. For this reason, the government should define some incentive policies to attract investor attention to MGs. This paper aims to develop a framework for the optimal planning of a renewable energy-based MG considering the incentive policies. To investigate the effect of the incentive policies on the planning formulation, three different policies are introduced in a pilot system in Iran. The minimum penetration rates of the RESs in the MG to receive the government incentive are defined as 20% and 40% in two different scenarios. The results show that the proposed incentive policies reduce the MG’s total net present cost (NPC) and the amount of carbon dioxide (CO2) emissions. The maximum NPC and CO2 reduction in comparison with the base case (with incentive policies) are 22.87% and 56.13%, respectively. The simulations are conducted using the hybrid optimization model for electric renewables (HOMER) software.pt_PT
dc.description.sponsorshipJoão Soares has received funding from FCT, namely CEECIND/02814/2017 and UIDB/00760/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/en15218285pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/22110
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
dc.relation.publisherversionhttps://www.mdpi.com/1996-1073/15/21/8285pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectRenewable energy sourcespt_PT
dc.subjectHybrid systempt_PT
dc.subjectIncentive policiespt_PT
dc.subjectGreenhouse gas emissionspt_PT
dc.titleTechno-Economic Analysis of Renewable-Energy-Based Micro-Grids Considering Incentive Policiespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Group on Intelligent Engineering and Computing for Advanced Innovation and Development
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00760%2F2020/PT
oaire.citation.issue21pt_PT
oaire.citation.startPage8285pt_PT
oaire.citation.titleEnergiespt_PT
oaire.citation.volume15pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSoares
person.givenNameJoão
person.identifier1043580
person.identifier.ciencia-id1612-8EA8-D0E8
person.identifier.orcid0000-0002-4172-4502
person.identifier.scopus-author-id35436109600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isAuthorOfPublication.latestForDiscovery9ece308b-6d79-4cec-af91-f2278dcc47eb
relation.isProjectOfPublicationdb3e2edb-b8af-487a-b76a-f6790ac2d86e
relation.isProjectOfPublication.latestForDiscoverydb3e2edb-b8af-487a-b76a-f6790ac2d86e

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