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

Jonathan Fabregas Villegas, Guillermo Valencia Ochoa, Marley Vanegas Chamorro

Abstract


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.

Keywords


wind roses; wind persistence; wind speed; auto-correlation function.

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References


J. Pasqualino, C. Cabrera, and M. V. Chamorro, “articulo_8 Impacto ambiental de las FNCE,†pp. 68–75, 2015.

N. G. Mortensen et al., “WAsP Utility Programs,†vol. 2261, no. September, p. 52, 2004.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.




DOI: http://dx.doi.org/10.18517/ijaseit.10.5.6567

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