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Graciosa Island’s Hybrid Energy System Expansion Scenarios: A Technical and Economic Analysis

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg07:Energias Renováveis e Acessíveis
dc.contributor.authorJesus, José
dc.contributor.authorNogueira, Teresa
dc.contributor.authorMagano, José
dc.date.accessioned2025-05-05T16:15:02Z
dc.date.available2025-05-05T16:15:02Z
dc.date.issued2024
dc.description.abstractThe island of Graciosa in the Azores faces unique energy challenges due to its remote location and reliance on imported diesel fuel. As a result, a hybrid energy system has been implemented that combines wind and solar energy with energy storage and diesel generators. This article examines the expansion of the island’s hybrid energy system, by simulating four alternative scalable scenarios that take into account expected technological advances over the next 20 years, including technologies such as biomass and hydrogen. Homer Pro and PVSyst software were used for optimizing the design of the stand-alone hybrid renewable energy system, with the aim of achieving cost-effective configurations and optimizing production, storage, and power grid management. Four simulations were performed to evaluate the expansion scenarios, namely in terms of configurations, component sizing, and economic feasibility. The results show that the most balanced, cost-effective scenario is the one that combines all the energy sources considered: photovoltaic, wind, biomass, battery storage, and hydrogen. The originality of this study lies in the scenario comparison methodology used to evaluate the viability and expansion of a hybrid energy system using modern renewable energy production technologies adapted to the specific insular conditions of Graciosa Island, assessing the economic impact and taking into account the imperative of energy security. This paper provides valuable insights into the potential and challenges of hybrid energy systems on the island of Graciosa and is instrumental for projects alike in similar remote regions.eng
dc.identifier.citationNogueira, T.; Jesus, J.; Magano, J. . Graciosa Island´s Hybrid Energy System Expansion Scenarios: A Technical and Economic Comparison Analysis. J Sustain Res. 2024;6(2): e2400010. https://doi.org/10.20900/jsr20240010
dc.identifier.doi10.20900/jsr20240010
dc.identifier.issn2632-6582
dc.identifier.urihttp://hdl.handle.net/10400.22/30025
dc.language.isoeng
dc.peerreviewedyes
dc.publisherHapres
dc.relationCenter for Innovation in Industrial Engineering and Technology
dc.relation.hasversionhttps://sustainability.hapres.com/htmls/JSR_1574_Detail.html
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectsustainable energy
dc.subjectrenewables
dc.subjecthybrid energy system
dc.subjectgrid expansion simulation
dc.subjectGraciólica project
dc.subjectGraciosa Island
dc.titleGraciosa Island’s Hybrid Energy System Expansion Scenarios: A Technical and Economic Analysiseng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCenter for Innovation in Industrial Engineering and Technology
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04730%2F2020/PT
oaire.citation.issue2
oaire.citation.titleJournal of Sustainability Research (JSR)
oaire.citation.volume6
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameNogueira
person.familyNameMagano
person.givenNameTeresa
person.givenNameJosé
person.identifier447885
person.identifier.ciencia-idFA1A-23A9-9DA3
person.identifier.ciencia-idBD1B-8B65-7FA5
person.identifier.orcid0000-0001-9904-7527
person.identifier.orcid0000-0003-2835-3169
person.identifier.ridQ-6796-2016
person.identifier.ridAAE-1254-2020
person.identifier.scopus-author-id24802401000
person.identifier.scopus-author-id57211559586
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublicationb5adb8de-fcd1-4469-b39d-2eaa14b59c9e
relation.isAuthorOfPublication3577afe7-0404-4114-9ce4-f36c477f2429
relation.isAuthorOfPublication.latestForDiscoveryb5adb8de-fcd1-4469-b39d-2eaa14b59c9e
relation.isProjectOfPublicationcdbfce2f-6ff0-4d59-a7c6-96c99d52a570
relation.isProjectOfPublication.latestForDiscoverycdbfce2f-6ff0-4d59-a7c6-96c99d52a570

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