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Renewable energy production and demand dataset for the energy system of Colombia

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datacite.rightshttp://purl.org/coar/access_right/c_abf2
dc.creatorPupo-Roncallo O.
dc.creatorCampillo Jiménez, Javier Eduardo
dc.creatorIngham, D.
dc.creatorHughes K.
dc.creatorPourkashanian M.
dc.date.accessioned2020-03-26T16:41:27Z
dc.date.available2020-03-26T16:41:27Z
dc.date.issued2020
dc.description.abstractDuring the last decades, an increasing number of studies have focused their attention on the development of energy system models in order to facilitate sustainable energy planning strategies and understand the technical challenges associated with the integration of renewable energy sources. However, these models usually require detailed and large amount of data as inputs. The data presented in this article provides key inputs and modelling assumptions adopted in the research paper titled “Large scale integration of renewable energy sources (RES) in the future Colombian energy system” [1]. These datasets can be used by researchers and policymakers in order to analyse different pathways oriented to the development of low carbon strategies for Colombia and countries with similar energy systems. © 2019 The Author(s)eng
dc.description.notesThis work was sponsored by Fundación CEIBA-Gobernación de Bolívar with the program “Bolivar gana con ciencia”. We also acknowledge the Hydrology, Meteorology and Environmental Institute (IDEAM) for providing their data.
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.identifier.citationPupo-Roncallo O., Campillo J., Ingham D., Hughes K. y Pourkashanian M. (2020) Renewable energy production and demand dataset for the energy system of Colombia. Data in Brief; Vol. 28
dc.identifier.doi10.1016/j.dib.2019.105084
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.issn23523409
dc.identifier.orcid57211364524
dc.identifier.orcid55609096600
dc.identifier.orcid57212492746
dc.identifier.orcid7202448730
dc.identifier.orcid7004225021
dc.identifier.reponameRepositorio UTB
dc.identifier.urihttps://hdl.handle.net/20.500.12585/9251
dc.language.isoeng
dc.publisherElsevier Inc.
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85077649501&doi=10.1016%2fj.dib.2019.105084&partnerID=40&md5=b84aa721ab28a39a1b40325270a611ef
dc.sourceScopus2-s2.0-85077649501
dc.subject.keywordsColombia
dc.subject.keywordsElectricity demand
dc.subject.keywordsRenewable energy
dc.subject.keywordsSolar power
dc.subject.keywordsWind power
dc.titleRenewable energy production and demand dataset for the energy system of Colombia
dc.type.driverinfo:eu-repo/semantics/review
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículo de ponencia
dcterms.bibliographicCitationPupo-Roncallo, O., Campillo, J., Ingham, D., Hughes, K., Pourkashanian, M., Large scale integration of renewable energy sources (RES) in the future Colombian energy system (2019) Energy, 186, p. 115805
dcterms.bibliographicCitationPupo-Roncallo, O., Campillo, J., Ingham, D., Hughes, K., Pourkashanian, M., Data on Electricity Demand and Renewable Energy Production for the Colombian Energy System (2019)
dcterms.bibliographicCitation(2017) Colombian Electrical Information System (SIEL), , http://www.siel.gov.co/, (Accessed 24 July 2018)
dcterms.bibliographicCitation(2015) Mining and Energy Planning Unit (UPME), Integración de las energías renovables no convencionales en Colombia, , Bogota
dcterms.bibliographicCitation(2018) Mining and Energy Planning Unit (UPME), Installed Capacity by Source, , http://paratec.xm.com.co/paratec/SitePages/generacion.aspx?q=capacidad, (Accessed 24 July 2018)
dcterms.bibliographicCitationACOLGEN, Power Generation Map of Colombia (2019), https://www.acolgen.org.co/mapa-generacion/, (Accessed 10 September 2018)
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dcterms.bibliographicCitationGeorge, M., Banerjee, R., A methodology for analysis of impacts of grid integration of renewable energy (2011) Energy Policy, 39, pp. 1265-1276
dcterms.bibliographicCitationNational Renewable Energy Laboratory (NREL), National Solar Radiation Data Base (NSRDB) (2018), https://rredc.nrel.gov/solar/old_data/nsrdb/, (Accessed 10 October 2018)
dcterms.bibliographicCitationVestas, Vestas V90/2.0 MW (2019), https://www.vestas.com/en/products/2-mw-platform/v90-2_0_mw#!, (Accessed 15 January 2019)
dcterms.bibliographicCitationHuld, T., Friesen, G., Skoczek, A., Kenny, R.P., Sample, T., Field, M., Dunlop, E.D., A power-rating model for crystalline silicon PV modules (2011) Sol. Energy Mater. Sol. Cells, 95, pp. 3359-3369
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oaire.resourceTypehttp://purl.org/coar/resource_type/c_8544
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.