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Evaluation of wind energy potential and trends in Morocco

In recent years, the use of wind energy has become increasingly attractive for the successful and economic development. Wind energy is one of the fastest-growing renewable energy technologies of electricity generation. Wind energy has proved its potential in combating environmental degradation while...

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Detalles Bibliográficos
Autores principales: El Khchine, Younes, Sriti, Mohammed, El Kadri Elyamani, Nacer Eddine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555878/
https://www.ncbi.nlm.nih.gov/pubmed/31198870
http://dx.doi.org/10.1016/j.heliyon.2019.e01830
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author El Khchine, Younes
Sriti, Mohammed
El Kadri Elyamani, Nacer Eddine
author_facet El Khchine, Younes
Sriti, Mohammed
El Kadri Elyamani, Nacer Eddine
author_sort El Khchine, Younes
collection PubMed
description In recent years, the use of wind energy has become increasingly attractive for the successful and economic development. Wind energy is one of the fastest-growing renewable energy technologies of electricity generation. Wind energy has proved its potential in combating environmental degradation while ensuring a renewable, efficient and clean energy source. Good wind sites can even be competitive with traditional energy sources. In this paper, we used statistical methods namely Weibull probability density function for evaluating the wind energy potential as a power source in Morocco's regions, in particular Taza and Dakhla cities. Various methods were explored as wind variability, power density, standard deviation, Moroccan and WAsP methods for calculating the Weibull parameters using mean wind speed data measured at one-hour intervals. The wind data have been extracted at the height of 50 m and over a three-year period 2015–2017. Furthermore, the variations of monthly and annual wind speed are studied and the power and energy densities are evaluated. The monthly values of the Weibull shape parameter are on average 5.01 m/s at Taza and 9.04 m/s at Dakhla. The results obtained showed that the highest values of wind potential occur during March, July, September and December in Dakhla and during the December to March in Taza.
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spelling pubmed-65558782019-06-13 Evaluation of wind energy potential and trends in Morocco El Khchine, Younes Sriti, Mohammed El Kadri Elyamani, Nacer Eddine Heliyon Article In recent years, the use of wind energy has become increasingly attractive for the successful and economic development. Wind energy is one of the fastest-growing renewable energy technologies of electricity generation. Wind energy has proved its potential in combating environmental degradation while ensuring a renewable, efficient and clean energy source. Good wind sites can even be competitive with traditional energy sources. In this paper, we used statistical methods namely Weibull probability density function for evaluating the wind energy potential as a power source in Morocco's regions, in particular Taza and Dakhla cities. Various methods were explored as wind variability, power density, standard deviation, Moroccan and WAsP methods for calculating the Weibull parameters using mean wind speed data measured at one-hour intervals. The wind data have been extracted at the height of 50 m and over a three-year period 2015–2017. Furthermore, the variations of monthly and annual wind speed are studied and the power and energy densities are evaluated. The monthly values of the Weibull shape parameter are on average 5.01 m/s at Taza and 9.04 m/s at Dakhla. The results obtained showed that the highest values of wind potential occur during March, July, September and December in Dakhla and during the December to March in Taza. Elsevier 2019-06-05 /pmc/articles/PMC6555878/ /pubmed/31198870 http://dx.doi.org/10.1016/j.heliyon.2019.e01830 Text en © 2019 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
El Khchine, Younes
Sriti, Mohammed
El Kadri Elyamani, Nacer Eddine
Evaluation of wind energy potential and trends in Morocco
title Evaluation of wind energy potential and trends in Morocco
title_full Evaluation of wind energy potential and trends in Morocco
title_fullStr Evaluation of wind energy potential and trends in Morocco
title_full_unstemmed Evaluation of wind energy potential and trends in Morocco
title_short Evaluation of wind energy potential and trends in Morocco
title_sort evaluation of wind energy potential and trends in morocco
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555878/
https://www.ncbi.nlm.nih.gov/pubmed/31198870
http://dx.doi.org/10.1016/j.heliyon.2019.e01830
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