| dc.creator | De Ávila Solano, Andrés | |
| dc.creator | Pérez, Dairo | |
| dc.creator | Jiménez Cardozo, José | |
| dc.date | 2022-12-27T21:35:07Z | |
| dc.date | 2022-12-27T21:35:07Z | |
| dc.date | 2022-06-17 | |
| dc.date.accessioned | 2023-10-03T19:24:26Z | |
| dc.date.available | 2023-10-03T19:24:26Z | |
| dc.identifier | A. De Ávila, D. Pérez y J. Jiménez, “Análisis del potencial eólico a través de la función de distribución de Weibull y Rosa de los vientos”, LADEE, vol. 3, no. 1, pp. 40–46, 2021. https://doi.org/10.17981/ladee.03.01.2022.4 | |
| dc.identifier | https://hdl.handle.net/11323/9732 | |
| dc.identifier | 10.17981/ladee.03.01.2022.4 | |
| dc.identifier | 2744-9750 | |
| dc.identifier | Corporación Universidad de la Costa | |
| dc.identifier | REDICUC - Repositorio CUC | |
| dc.identifier | https://repositorio.cuc.edu.co/ | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/9169950 | |
| dc.description | El presente estudio tuvo como objetivo analizar los datos de velocidad del viento de una estación meteorología en Colombia. Para ellos se analizaron los datos de velocidad del viento para un periodo de 24 horas durante un mes. Se observaron tendencias similares de la velocidad del viento en diferentes días, donde la velocidad del viento más alta y baja pertenecían al día 2 y el día 4. Se aplicaron las funciones de distribución de Weibull y Rosa de los vientos para encontrar la mejor herramienta de ajuste a los datos de velocidad del viento y Para determinar el potencial de energía eólica y determinar la dirección o direcciones que permitan maximizar la energía captada por la turbina, y de esta manera instalar los aerogeneradores en la ubicación más idónea. | |
| dc.description | The objective of this study was to analyze wind speed data from a meteorological station in Colombia. For this purpose, wind speed data were analyzed for a 24-hour period during one month. Similar wind speed trends were observed on different days, where the highest and lowest wind speed belonged to day 2 and day 4. The Weibull distribution functions, and wind rose were applied to find the best fitting tool to the wind speed data and to determine the wind energy potential and determine the direction(s) to maximize the energy captured by the turbine, and thus install the wind turbines in the most suitable location | |
| dc.format | 7 | |
| dc.format | application/pdf | |
| dc.format | application/pdf | |
| dc.language | spa | |
| dc.publisher | Corporación Universidad de la Costa | |
| dc.publisher | Colombia | |
| dc.relation | Latin American Developments in Energy Engineering LADEE | |
| dc.relation | Z. Tian, “A state-of-the-art review on wind power deterministic prediction,” Wind Eng, vol. 45, no. 5, pp. 1374–1392, Jul. 2020. https://doi.org/10.1177/0309524X20941203 | |
| dc.relation | J. A. Guarienti, A. Kaufmann, A. Menegati, A. R. de Oliveira, J. P. Ottonelli & I. Kaufmann, “Performance analysis of numerical methods for determining Weibull distribution parameters applied to wind speed in Mato Grosso do Sul, Brazil,” Sustain Energy Technol Assessments, vol. 42, no. 7, pp. 100854– 100854, Dec. 2020. https://doi.org/10.1016/j.seta.2020.100854 | |
| dc.relation | P. Wais, “A review of Weibull functions in wind sector,” Renew Sustain Energy Rev, vol. 70, pp. 1099– 1107, Apr. 2017. https://doi.org/10.1016/j.rser.2016.12.014 | |
| dc.relation | P. Wais, “Two and three-parameter Weibull distribution in available wind power analysis,” Renew Energy, vol. 103, pp. 15–29, Apr. 2017. https://doi.org/10.1016/j.renene.2016.10.041 | |
| dc.relation | M. Shoaib, I. Siddiqui, Y. M. Amir & S. U. Rehman, “Evaluation of wind power potential in Baburband (Pakistan) using Weibull distribution function,” Renew Sustain Energy Rev, vol. 70, pp. 1343–1351, Apr. 2017. https://doi.org/10.1016/j.rser.2016.12.037 | |
| dc.relation | D. Corte, F. Sierra y G. Valencia, “Validación del modelo matemático ‘Función de densidad de probabilidad (pdf) de Weibull’, evaluando el recurso eólico en la zona del caribe colombiano: caso estudio”, Prospectiva, vol. 13, no. 2, pp. 38–46, 2015. https://doi.org/10.15665/rp.v13i2.485 | |
| dc.relation | J. A. Carta, P. Ramírez & C. Bueno, “A joint probability density function of wind speed and direction for wind energy analysis,” Energy Convers Manag, vol. 49, no. 6, pp. 1309–1320, Jun. 2008. https://doi. org/10.1016/j.enconman.2008.01.010 | |
| dc.relation | 46 | |
| dc.relation | 40 | |
| dc.relation | 1 | |
| dc.relation | 3 | |
| dc.rights | © The author; licensee Universidad de la Costa - CUC. | |
| dc.rights | Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) | |
| dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | http://purl.org/coar/access_right/c_abf2 | |
| dc.source | https://revistascientificas.cuc.edu.co/IDEE/article/view/4178 | |
| dc.subject | Energía eólica | |
| dc.subject | Velocidad del viento | |
| dc.subject | Funciones de distribución | |
| dc.subject | Weibull | |
| dc.subject | Rosa de vientos | |
| dc.subject | Wind energy | |
| dc.subject | Wind speed | |
| dc.subject | Distribution functions | |
| dc.subject | Weibull | |
| dc.subject | Wind Rose | |
| dc.title | Análisis del potencial eólico a través de la función de distribución de Weibull y Rosa de los vientos | |
| dc.type | Artículo de revista | |
| dc.type | http://purl.org/coar/resource_type/c_6501 | |
| dc.type | Text | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | http://purl.org/redcol/resource_type/ART | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
| dc.type | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| dc.coverage | Colombia | |
