Statistical Wind Energy Analysis and Wind Persistence Assessment for Cordoba And Sucre Departments' Weather Stations in The Caribbean Region of Colombia
Abstract
Keywords
Full Text:
PDFReferences
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. RamÃrez, 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
Refbacks
- There are currently no refbacks.
Published by INSIGHT - Indonesian Society for Knowledge and Human Development