A Site-Specific Wind Energy Potential Analysis Based on Wind Probability Distributions: A Ciudad Juárez-México Case Study

Carlos Adrián Hernández-Meléndez, Luis Alberto Rodríguez-Picón (), Iván Juan Carlos Pérez-Olguín, Felipe Adrián Vázquez-Galvez, Jesús Israel Hernández-Hernández and Luis Carlos Méndez-González
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Carlos Adrián Hernández-Meléndez: Department of Industrial Engineering and Manufacturing, Institute of Engineering and Technology, Autonomous University of Ciudad Juárez, Ciudad Juárez 32310, Mexico
Luis Alberto Rodríguez-Picón: Department of Industrial Engineering and Manufacturing, Institute of Engineering and Technology, Autonomous University of Ciudad Juárez, Ciudad Juárez 32310, Mexico
Iván Juan Carlos Pérez-Olguín: Department of Industrial Engineering and Manufacturing, Institute of Engineering and Technology, Autonomous University of Ciudad Juárez, Ciudad Juárez 32310, Mexico
Felipe Adrián Vázquez-Galvez: Department of Civil and Environmental Engineering, Institute of Engineering and Technology, Autonomous University of Ciudad Juárez, Ciudad Juárez 32310, Mexico
Jesús Israel Hernández-Hernández: Department of Electrical and Computer Engineering, Institute of Engineering and Technology, Autonomous University of Ciudad Juárez, Ciudad Juárez 32310, Mexico
Luis Carlos Méndez-González: Department of Industrial Engineering and Manufacturing, Institute of Engineering and Technology, Autonomous University of Ciudad Juárez, Ciudad Juárez 32310, Mexico

Sustainability, 2024, vol. 16, issue 21, 1-22

Abstract: Wind energy production has been a relevant topic of research for several years. Specifically, the estimation of wind energy potential has received important attention in different regions of the world. One of the main considerations for these estimations is based on the modeling of wind speed data based on probability density functions (PDF), given that once the best distribution for wind speed data is determined, the wind energy potential can be estimated. The objective of this paper is to investigate the wind speed and wind energy potential in Ciudad Juárez, México. To achieve this, three meteorological stations were installed in strategic open sites at a height of 10 meters within and on the edges of the city. Speed data were recorded for each meteorological station every ten minutes over a one-year period. The wind speed data were studied to define the best-fitting distribution, and different commercial wind turbines were considered to estimate the power curves for each location. With the characterized power curves, it was possible to estimate the potential energy production. In addition, wind shear was considered to estimate the energy production with wind turbines that have greater heights. The results show the importance of selecting the best distribution to estimate the wind energy potential of certain regions where measurements can be obtained from different locations.

Keywords: mixture distributions; power curves; annual energy production; Akaike information criterion; probability density function (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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