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Optimization of All-Renewable Generation Mix According to Different Demand Response Scenarios to Cover All the Electricity Demand Forecast by 2040: The Case of the Grand Canary Island

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Optimization of All-Renewable Generation Mix According to Different Demand Response Scenarios to Cover All the Electricity Demand Forecast by 2040: The Case of the Grand Canary Island

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dc.contributor.author Vargas-Salgado, Carlos es_ES
dc.contributor.author Berna, C. es_ES
dc.contributor.author Escrivá, A. es_ES
dc.contributor.author Díaz-Bello, Dácil es_ES
dc.date.accessioned 2022-03-22T19:02:43Z
dc.date.available 2022-03-22T19:02:43Z
dc.date.issued 2022-02-02 es_ES
dc.identifier.uri http://hdl.handle.net/10251/181508
dc.description.abstract [EN] The decarbonization of the electric generation system is fundamental to reaching the desired scenario of zero greenhouse gas emissions. For this purpose, this study describes the combined utilization of renewable sources (PV and wind), which are mature and cost-effective renewable technologies. Storage technologies are also considered (pumping storage and mega-batteries) to manage the variability in the generation inherent to renewable sources. This work also analyzes the combined use of renewable energies with storage systems for a total electrification scenario of Grand Canary Island (Spain). After analyzing the natural site¿s resource constraints and focusing on having a techno-economically feasible, zero-emission, and low-waste renewable generation mix, six scenarios for 2040 are considered combining demand response and business as usual. The most optimal solution is the scenario with the maximum demand response, consisting of 3700 MW of PV, around 700 MW of off-shore wind system, 607 MW of pump storage, and 2300 MW of EV batteries capacity. The initial investment would be EUR 8065 million, and the LCOE close to EUR 0.11/kWh, making the total NPC EUR 13,655 million. The payback is 12.4 years, and the internal rate of return is 6.39% es_ES
dc.description.sponsorship This study has been in part supported by the projects: "Design Of a Hybrid Renewable Microgrid System" and "Microred Inteligente Hibrida de Energias Renovables para Solucionar el Trilema Agua-Alimentacion-Energia en Una Comunidad Rural de Honduras" es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sustainability es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Renewable energy es_ES
dc.subject Storage technologies es_ES
dc.subject Pumping storage es_ES
dc.subject Mega-batteries es_ES
dc.subject Stand-alone electricity generation es_ES
dc.subject Electrification final energy consumption es_ES
dc.subject Statistical analysis of high variable energy sources es_ES
dc.subject Demand management es_ES
dc.subject Self-consumption es_ES
dc.subject Vehicle-to-grid es_ES
dc.title Optimization of All-Renewable Generation Mix According to Different Demand Response Scenarios to Cover All the Electricity Demand Forecast by 2040: The Case of the Grand Canary Island es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/su14031738 es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Vargas-Salgado, C.; Berna, C.; Escrivá, A.; Díaz-Bello, D. (2022). Optimization of All-Renewable Generation Mix According to Different Demand Response Scenarios to Cover All the Electricity Demand Forecast by 2040: The Case of the Grand Canary Island. Sustainability. 14(3):1-30. https://doi.org/10.3390/su14031738 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/su14031738 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 30 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 14 es_ES
dc.description.issue 3 es_ES
dc.identifier.eissn 2071-1050 es_ES
dc.relation.pasarela S\454442 es_ES
dc.contributor.funder Universitat Politècnica de València es_ES


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