Statistical Wind Energy Analysis and Wind Persistence Assessment for Cordoba And Sucre Departments' Weather Stations in The Caribbean Region of Colombia

A statistical analysis is carried out on the behavior of wind speed at meteorological stations located in the Caribbean Region of Colombia, in order to establish and identify the potential available in wind energy to be used as a renewable energy source, this by through the use of rigorous periodic...

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Autores:
Fabregas Villegas, Jonathan
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad del Atlántico
Repositorio:
Repositorio Uniatlantico
Idioma:
eng
OAI Identifier:
oai:repositorio.uniatlantico.edu.co:20.500.12834/840
Acceso en línea:
https://hdl.handle.net/20.500.12834/840
Palabra clave:
wind roses; wind persistence; wind speed; auto-correlation function.
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc/4.0/
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dc.title.spa.fl_str_mv Statistical Wind Energy Analysis and Wind Persistence Assessment for Cordoba And Sucre Departments' Weather Stations in The Caribbean Region of Colombia
title Statistical Wind Energy Analysis and Wind Persistence Assessment for Cordoba And Sucre Departments' Weather Stations in The Caribbean Region of Colombia
spellingShingle Statistical Wind Energy Analysis and Wind Persistence Assessment for Cordoba And Sucre Departments' Weather Stations in The Caribbean Region of Colombia
wind roses; wind persistence; wind speed; auto-correlation function.
title_short Statistical Wind Energy Analysis and Wind Persistence Assessment for Cordoba And Sucre Departments' Weather Stations in The Caribbean Region of Colombia
title_full Statistical Wind Energy Analysis and Wind Persistence Assessment for Cordoba And Sucre Departments' Weather Stations in The Caribbean Region of Colombia
title_fullStr Statistical Wind Energy Analysis and Wind Persistence Assessment for Cordoba And Sucre Departments' Weather Stations in The Caribbean Region of Colombia
title_full_unstemmed Statistical Wind Energy Analysis and Wind Persistence Assessment for Cordoba And Sucre Departments' Weather Stations in The Caribbean Region of Colombia
title_sort Statistical Wind Energy Analysis and Wind Persistence Assessment for Cordoba And Sucre Departments' Weather Stations in The Caribbean Region of Colombia
dc.creator.fl_str_mv Fabregas Villegas, Jonathan
dc.contributor.author.none.fl_str_mv Fabregas Villegas, Jonathan
dc.contributor.other.none.fl_str_mv Valencia Ochoa, Guillermo
Vanegas Chamorro, Marley
dc.subject.keywords.spa.fl_str_mv wind roses; wind persistence; wind speed; auto-correlation function.
topic wind roses; wind persistence; wind speed; auto-correlation function.
description A statistical analysis is carried out on the behavior of wind speed at meteorological stations located in the Caribbean Region of Colombia, in order to establish and identify the potential available in wind energy to be used as a renewable energy source, this by through the use of rigorous periodic studies, carried out by the Colombian Institute of Environment, Meteorology and Hydrology (IDEAM), to have efficient energy management and encourage the start-up of wind farms, which satisfy the energy demand necessary for the supply of Vulnerable Populations in the Colombian nation, therefore, the meteorological stations and their location are described, a wind analysis is made at different heights and roughness of the study terrain, and wind persistence studies are carried out using the autocorrelation function (ACF), behavioral analyzes are made Hourly and annual wind rate, for the meteorological stations described, in addition, graphs of the wind direction or wind roses are presented, with greater stability in the annual periods. From which an analysis could be established that allows the use of wind energy potential to be viewed by adequately reaching the behavior of the wind for meteorological stations in the departments of Córdoba and Sucre located in the Caribbean Region. The department of Córdoba presents, according to its meteorological stations, an average wind speed value ranging from 1.3 m/s to 1.4 m/s, while in the department of Sucre, values of average wind speed of 0.85 m/s to 1.7 m/s.
publishDate 2020
dc.date.issued.none.fl_str_mv 2020-06-01
dc.date.submitted.none.fl_str_mv 2020-01-01
dc.date.accessioned.none.fl_str_mv 2022-11-15T19:42:49Z
dc.date.available.none.fl_str_mv 2022-11-15T19:42:49Z
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dc.type.spa.spa.fl_str_mv Artículo
status_str publishedVersion
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12834/840
dc.identifier.doi.none.fl_str_mv 10.18517/ijaseit.10.5.6567
dc.identifier.instname.spa.fl_str_mv Universidad del Atlántico
dc.identifier.reponame.spa.fl_str_mv Repositorio Universidad del Atlántico
url https://hdl.handle.net/20.500.12834/840
identifier_str_mv 10.18517/ijaseit.10.5.6567
Universidad del Atlántico
Repositorio Universidad del Atlántico
dc.language.iso.spa.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
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dc.publisher.place.spa.fl_str_mv Barranquilla
dc.publisher.sede.spa.fl_str_mv Sede Norte
dc.source.spa.fl_str_mv Insight Society
institution Universidad del Atlántico
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spelling Fabregas Villegas, Jonathan93f901e8-c19f-4b59-a325-ae1d41855130Valencia Ochoa, GuillermoVanegas Chamorro, Marley2022-11-15T19:42:49Z2022-11-15T19:42:49Z2020-06-012020-01-01https://hdl.handle.net/20.500.12834/84010.18517/ijaseit.10.5.6567Universidad del AtlánticoRepositorio Universidad del AtlánticoA statistical analysis is carried out on the behavior of wind speed at meteorological stations located in the Caribbean Region of Colombia, in order to establish and identify the potential available in wind energy to be used as a renewable energy source, this by through the use of rigorous periodic studies, carried out by the Colombian Institute of Environment, Meteorology and Hydrology (IDEAM), to have efficient energy management and encourage the start-up of wind farms, which satisfy the energy demand necessary for the supply of Vulnerable Populations in the Colombian nation, therefore, the meteorological stations and their location are described, a wind analysis is made at different heights and roughness of the study terrain, and wind persistence studies are carried out using the autocorrelation function (ACF), behavioral analyzes are made Hourly and annual wind rate, for the meteorological stations described, in addition, graphs of the wind direction or wind roses are presented, with greater stability in the annual periods. From which an analysis could be established that allows the use of wind energy potential to be viewed by adequately reaching the behavior of the wind for meteorological stations in the departments of Córdoba and Sucre located in the Caribbean Region. The department of Córdoba presents, according to its meteorological stations, an average wind speed value ranging from 1.3 m/s to 1.4 m/s, while in the department of Sucre, values of average wind speed of 0.85 m/s to 1.7 m/s.application/pdfenghttp://creativecommons.org/licenses/by-nc/4.0/Attribution-NonCommercial 4.0 Internationalinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Insight SocietyStatistical Wind Energy Analysis and Wind Persistence Assessment for Cordoba And Sucre Departments' Weather Stations in The Caribbean Region of ColombiaPúblico generalwind roses; wind persistence; wind speed; auto-correlation function.info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1BarranquillaSede Norte[1] J. Pasqualino, C. Cabrera, and M. V. Chamorro, “articulo_8 Impacto ambiental de las FNCE,” pp. 68–75, 2015.[2] N. G. Mortensen et al., “WAsP Utility Programs,” vol. 2261, no. September, p. 52, 2004.[3] F. J. Ramírez, A. Honrubia-Escribano, E. Gómez-Lázaro, and D. T. Pham, “The role of wind energy production in addressing the European renewable energy targets: The case of Spain,” J. Clean. Prod., vol. 196, no. 2018, pp. 1198–1212, 2018, doi: 10.1016/j.jclepro.2018.06.102.[4] Y. Cancino-Solórzano, A. J. Gutiérrez-Trashorras, and J. Xiberta- Bernat, “Analytical methods for wind persistence: Their application in assessing the best site for a wind farm in the State of Veracruz, Mexico,” Renew. Energy, vol. 35, no. 12, pp. 2844–2852, 2010, DOI: 10.1016/j.renene.2010.05.008.[5] Y. Cancino-Solórzano and J. Xiberta-Bernat, “Statistical analysis of wind power in the region of Veracruz (Mexico),” Renew. Energy, vol. 34, no. 6, pp. 1628–1634, 2009, doi: 10.1016/j.renene.2008.11.018.[6] S. A. Akdaʇ and Ö. Güler, “A novel energy pattern factor method for wind speed distribution parameter estimation,” Energy Convers. Manag., vol. 106, pp. 1124–1133, 2015, DOI: 10.1016/j.enconman.2015.10.042.[7] L. Jiang, “Mean wind speed persistence over China,” Phys. A Stat. Mech. its Appl., vol. 502, pp. 211–217, 2018, DOI: 10.1016/j.physa.2018.02.058.[8] Z. R. Shu, Q. S. Li, Y. C. He, and P. W. Chan, “Observational study of veering wind by Doppler wind profiler and surface weather station,” J. Wind Eng. Ind. Aerodyn., vol. 178, no. December 2017, pp. 18–25, 2018, DOI: 10.1016/j.jweia.2018.05.001.[9] J. F. Villegas, G. V. Ochoa, M. V. Chamorro, I. Mecánico, G. Interdisciplinario, and D. Investigación, “Wind Speed Study and Persistence Analysis for a Set of 18 Weather Stations Located on the Colombian Caribbean Region,” Int. J. ChemTech Res., vol. 10, no. 9, pp. 1038–1045, 2017.[10] J. F. Villegas, G. V. Ochoa, and M. V. Chamorro, “Statistical Analysis of Wind Power and Analytical Methods for Wind Persistence in Magdalena and Cesar Departments in Colombia,” Indian J. Sci. Technol., vol. 10, no. 36, pp. 1–09, 2017, DOI: 10.17485/ijst/2017/v10i36/106638.[11] J. Fabregas, G. Valencia, and M. Vanegas, “Statistical analysis and evaluation of the wind persistence for stations in Departments of La Guajira and San Andrés & Providencia in Colombia,” Espacios, vol. 38, no. 08, p. 14, 2017.[12] M. Hussain, “Dependence of power law index on surface wind speed,” Energy Convers. Manag., vol. 43, no. 4, pp. 467–472, 2002, DOI: 10.1016/S0196-8904(01)00032-2.[13] K. Koçak, “Examination of persistence properties of wind speed records using detrended fluctuation analysis,” Energy, vol. 34, no. 11, pp. 1980–1985, 2009, DOI: 10.1016/j.energy.2009.08.006.[14] M. Shoaib, I. Siddiqui, S. Rehman, S. Khan, and L. M. Alhems, “Assessment of wind energy potential using wind energy conversion system,” J. Clean. Prod., vol. 216, pp. 346–360, 2019, DOI: 10.1016/j.jclepro.2019.01.128.[15] A. Bahrami, A. Teimourian, C. O. Okoye, and H. Shiri, “Technical and economic analysis of wind energy potential in Uzbekistan,” J. Clean. Prod., vol. 223, pp. 801–814, 2019, DOI: 10.1016/j.jclepro.2019.03.140.http://purl.org/coar/resource_type/c_6501ORIGINALijaseit.10.5.6567.pdfijaseit.10.5.6567.pdfapplication/pdf2832874https://repositorio.uniatlantico.edu.co/bitstream/20.500.12834/840/1/ijaseit.10.5.6567.pdf87b99378aebc9c136f2ff91ed406ed87MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.uniatlantico.edu.co/bitstream/20.500.12834/840/2/license_rdf24013099e9e6abb1575dc6ce0855efd5MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81306https://repositorio.uniatlantico.edu.co/bitstream/20.500.12834/840/3/license.txt67e239713705720ef0b79c50b2ececcaMD5320.500.12834/840oai:repositorio.uniatlantico.edu.co:20.500.12834/8402022-11-15 14:42:50.842DSpace de la Universidad de Atlánticosysadmin@mail.uniatlantico.edu.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