Renewable energy production and demand dataset for the energy system of Colombia
During 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,...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9251
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9251
- Palabra clave:
- Colombia
Electricity demand
Renewable energy
Solar power
Wind power
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Renewable energy production and demand dataset for the energy system of Colombia |
| title |
Renewable energy production and demand dataset for the energy system of Colombia |
| spellingShingle |
Renewable energy production and demand dataset for the energy system of Colombia Colombia Electricity demand Renewable energy Solar power Wind power |
| title_short |
Renewable energy production and demand dataset for the energy system of Colombia |
| title_full |
Renewable energy production and demand dataset for the energy system of Colombia |
| title_fullStr |
Renewable energy production and demand dataset for the energy system of Colombia |
| title_full_unstemmed |
Renewable energy production and demand dataset for the energy system of Colombia |
| title_sort |
Renewable energy production and demand dataset for the energy system of Colombia |
| dc.subject.keywords.none.fl_str_mv |
Colombia Electricity demand Renewable energy Solar power Wind power |
| topic |
Colombia Electricity demand Renewable energy Solar power Wind power |
| description |
During 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) |
| publishDate |
2020 |
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2020-03-26T16:41:27Z |
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2020-03-26T16:41:27Z |
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2020 |
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Pupo-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 |
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23523409 |
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https://hdl.handle.net/20.500.12585/9251 |
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10.1016/j.dib.2019.105084 |
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Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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57211364524 55609096600 57212492746 7202448730 7004225021 |
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Pupo-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 23523409 10.1016/j.dib.2019.105084 Universidad Tecnológica de Bolívar Repositorio UTB 57211364524 55609096600 57212492746 7202448730 7004225021 |
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https://hdl.handle.net/20.500.12585/9251 |
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eng |
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eng |
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Recurso electrónico |
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Elsevier Inc. |
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Elsevier Inc. |
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2020-03-26T16:41:27Z2020-03-26T16:41:27Z2020Pupo-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. 2823523409https://hdl.handle.net/20.500.12585/925110.1016/j.dib.2019.105084Universidad Tecnológica de BolívarRepositorio UTB57211364524556090966005721249274672024487307004225021During 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)This 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.Recurso electrónicoapplication/pdfengElsevier Inc.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077649501&doi=10.1016%2fj.dib.2019.105084&partnerID=40&md5=b84aa721ab28a39a1b40325270a611efScopus2-s2.0-85077649501Renewable energy production and demand dataset for the energy system of Colombiainfo:eu-repo/semantics/reviewinfo:eu-repo/semantics/publishedVersionArtículo de ponenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_efa0ColombiaElectricity demandRenewable energySolar powerWind powerPupo-Roncallo O.Campillo Jiménez, Javier EduardoIngham, D.Hughes K.Pourkashanian M.Pupo-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. 115805Pupo-Roncallo, O., Campillo, J., Ingham, D., Hughes, K., Pourkashanian, M., Data on Electricity Demand and Renewable Energy Production for the Colombian Energy System (2019)(2017) Colombian Electrical Information System (SIEL), , http://www.siel.gov.co/, (Accessed 24 July 2018)(2015) Mining and Energy Planning Unit (UPME), Integración de las energías renovables no convencionales en Colombia, , Bogota(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)ACOLGEN, Power Generation Map of Colombia (2019), https://www.acolgen.org.co/mapa-generacion/, (Accessed 10 September 2018)(2018) Market Experts - XM, , http://www.xm.com.co, (Accessed 25 April 2019)(2018) XM, Portal BI - Gestión Información Inteligente, , http://informacioninteligente10.xm.com.co/pages/default.aspx, (Accessed 30 July 2018)George, M., Banerjee, R., A methodology for analysis of impacts of grid integration of renewable energy (2011) Energy Policy, 39, pp. 1265-1276National Renewable Energy Laboratory (NREL), National Solar Radiation Data Base (NSRDB) (2018), https://rredc.nrel.gov/solar/old_data/nsrdb/, (Accessed 10 October 2018)Vestas, Vestas V90/2.0 MW (2019), https://www.vestas.com/en/products/2-mw-platform/v90-2_0_mw#!, (Accessed 15 January 2019)Huld, 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. 3359-3369Faiman, D., Assessing the outdoor operating temperature of photovoltaic modules (2008) Prog. Photovolt. Res. Appl., 16, pp. 307-315(2017) Photovoltaic Geographical Information System (PVGIS), , https://re.jrc.ec.europa.eu/pvgis.html, (Accessed 10 May 2018)http://purl.org/coar/resource_type/c_8544ORIGINALhttpsdoiorg101016jdib2019105084.pdfapplication/pdf1473927https://repositorio.utb.edu.co/bitstream/20.500.12585/9251/1/httpsdoiorg101016jdib2019105084.pdf3089c44a78ccb9c9b110caa73e7b1799MD51TEXThttpsdoiorg101016jdib2019105084.pdf.txthttpsdoiorg101016jdib2019105084.pdf.txtExtracted texttext/plain15601https://repositorio.utb.edu.co/bitstream/20.500.12585/9251/4/httpsdoiorg101016jdib2019105084.pdf.txtf74fba99659ed36fdd9c3a35f156182aMD54THUMBNAILhttpsdoiorg101016jdib2019105084.pdf.jpghttpsdoiorg101016jdib2019105084.pdf.jpgGenerated Thumbnailimage/jpeg57258https://repositorio.utb.edu.co/bitstream/20.500.12585/9251/5/httpsdoiorg101016jdib2019105084.pdf.jpg7d90ccc64af78a618bc89fd8258610bcMD5520.500.12585/9251oai:repositorio.utb.edu.co:20.500.12585/92512023-05-25 14:58:56.349Repositorio Institucional UTBrepositorioutb@utb.edu.co |