Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30278
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dc.contributor.authorTorres-Madroñero, JL-
dc.contributor.authorNieto-Londoño, C-
dc.contributor.authorArenas-Castiblanco, E-
dc.contributor.authorZapata-Benabithe, Z-
dc.contributor.authorJouhara, H-
dc.date.accessioned2024-11-29T15:28:14Z-
dc.date.available2024-11-29T15:28:14Z-
dc.date.issued2024-09-23-
dc.identifierORCiD: César Nieto-Londoño https://orcid.org/0000-0001-6516-9630-
dc.identifierORCiD: Zulamita Zapata-Benabithe https://orcid.org/0000-0002-4497-4865-
dc.identifierORCiD: Hussam Jouhara https://orcid.org/0000-0002-6910-6116-
dc.identifier102927-
dc.identifier.citationTorres-Madroñero, J.L. et al. (2024) 'Multi-objective optimisation of hybrid renewable energy systems for Colombian non-interconnected zones', Thermal Science and Engineering Progress, 55, 102927 pp. 1 - 11. doi: 10.1016/j.tsep.2024.102927.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/30278-
dc.descriptionData availability: Data will be made available on request.en_US
dc.description.abstractColombia’s Atlantic coast wind and solar resources could enhance energy mix and self-generation. Renewable clean energy has been studied in response to fossil fuel pollution. Wind and solar photovoltaic systems have low initial, operational, and levelized energy costs. Variable wind and sun radiation may limit availability. In this regard, hybrid renewable energy systems (HRES) and energy storage have become crucial. These systems can effectively meet load demand by utilising complementary renewable resources. This study deals with sizing a wind and photovoltaic HRES with storage, using a Particle Swarm Optimisation algorithm for yearly variable resources in a non-interconnected zone in La Guajira, Colombia. The study evaluates the LCOE, probability of load loss, and the system’s CO2 emission. It develops a sensitivity analysis to determine the importance of each objective factor. From a life cycle analysis, an HRES configuration with low LCOE and environmental emission rates is associated with the size of the wind resource; the HRES configuration with minimum LCOE values is close to obtaining higher equivalent CO2e emissions. The study highlights the configuration obtained for the Colombian context, giving more importance to the environmental factor and reaching an LCOE of 0.754 USD/kWh and emission of 18.97 tCO2e/year; this configuration also increases the wind energy generation, reaching 41 % more share, compared to the configuration obtained when the economic factor is a priority.en_US
dc.description.sponsorshipUniversidad Pontificia Bolivariana through project 686C-08/21-19, “Study of the flexibility of generation and consumption systems for a sustainable energy transition”.en_US
dc.format.extent1 - 11-
dc.format.mediumElectronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/bync/4.0/-
dc.subjectparticle swarm optimisationen_US
dc.subjecthybrid renewable energy systemsen_US
dc.subjectnoninterconected zonesen_US
dc.titleMulti-objective optimisation of hybrid renewable energy systems for Colombian non-interconnected zonesen_US
dc.typeArticleen_US
dc.date.dateAccepted2024-09-21-
dc.identifier.doihttps://doi.org/10.1016/j.tsep.2024.102927-
dc.relation.isPartOfThermal Science and Engineering Progress-
pubs.publication-statusPublished-
pubs.volume55-
dc.identifier.eissn2451-9049-
dc.rights.licensehttps://creativecommons.org/licenses/bync/4.0/legalcode.en-
dc.rights.holderThe Author(s)-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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