Publication
Influence of Increasing Renewable Power Penetration on the Long-Term Iberian Electricity Market Prices
| dc.contributor.author | Leal, Pedro | |
| dc.contributor.author | Castro, Rui | |
| dc.contributor.author | Lopes, Fernando | |
| dc.date.accessioned | 2023-05-08T09:41:09Z | |
| dc.date.available | 2023-05-08T09:41:09Z | |
| dc.date.issued | 2023-02 | |
| dc.description.abstract | ABSTRACT: n recent years, there has been a significant increase in investment in renewable energy sources, leading to the decarbonization of the electricity sector. Accordingly, a key concern is the influence of this process on future electricity market prices, which are expected to decrease with the increasing generation of renewable power. This is important for both current and future investors, as it can affect profitability. To address these concerns, a long-term analysis is proposed here to examine the influence of the future electricity mix on Iberian electricity prices in 2030. In this study, we employed artificial intelligence forecasting models that incorporated the main electricity price-driven components of MIBEL, providing accurate predictions for the real operation of the market. These can be extrapolated into the future to predict electricity prices in a scenario with high renewable power penetration. The results, obtained considering a framework featuring an increase in the penetration of renewables into MIBEL of up to 80% in 2030, showed that electricity prices are expected to decrease by around 50% in 2030 when compared to 2019, and there will be a new pattern of electricity prices throughout the year due to the uneven distribution of renewable electricity. The study's findings are relevant for ongoing research on the unique challenges of energy markets with high levels of renewable generation. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Leal, P... [et.al.] - Influence of Increasing Renewable Power Penetration on the Long-Term Iberian Electricity Market Prices. In: Energies, 2023, vol. 16 (3), article nº 1054 | pt_PT |
| dc.identifier.doi | 10.3390/en16031054 | pt_PT |
| dc.identifier.eissn | 1996-1073 | |
| dc.identifier.uri | http://hdl.handle.net/10400.9/4044 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | MDPI | pt_PT |
| dc.relation | Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa | |
| dc.relation.publisherversion | https://doi.org/10.3390/en16031054 | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Renewable energies | pt_PT |
| dc.subject | Electricity markets | pt_PT |
| dc.subject | Artificial neural networks | pt_PT |
| dc.title | Influence of Increasing Renewable Power Penetration on the Long-Term Iberian Electricity Market Prices | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50021%2F2020/PT | |
| oaire.citation.title | Energies | pt_PT |
| oaire.citation.volume | 16 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Lopes | |
| person.givenName | Fernando | |
| person.identifier.orcid | 0000-0002-2967-627X | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | a1153343-c1b9-406e-a83a-30dbee18d6a3 | |
| relation.isAuthorOfPublication.latestForDiscovery | a1153343-c1b9-406e-a83a-30dbee18d6a3 | |
| relation.isProjectOfPublication | 81c061f3-e528-4051-b55b-2b28ac2bc4db | |
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