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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doaj-be8f3d13c7c8469785e91773166f29692020-11-25T02:00:29ZengElsevierHeliyon2405-84402019-06-0156e01830Evaluation of wind energy potential and trends in MoroccoYounes El Khchine0Mohammed Sriti1Nacer Eddine El Kadri Elyamani2Corresponding author.; Engineering Sciences Laboratory, Sidi Mohamed Ben Abdellah University, Polydisciplinary Faculty of Taza, BP. 1223 road of Oujda, Taza, MoroccoEngineering Sciences Laboratory, Sidi Mohamed Ben Abdellah University, Polydisciplinary Faculty of Taza, BP. 1223 road of Oujda, Taza, MoroccoEngineering Sciences Laboratory, Sidi Mohamed Ben Abdellah University, Polydisciplinary Faculty of Taza, BP. 1223 road of Oujda, Taza, MoroccoIn 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.http://www.sciencedirect.com/science/article/pii/S2405844018374474EnergyWind turbine designWind energyEnergy resourcesWind turbineHorizontal-axis wind turbine |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Younes El Khchine Mohammed Sriti Nacer Eddine El Kadri Elyamani |
spellingShingle |
Younes El Khchine Mohammed Sriti Nacer Eddine El Kadri Elyamani Evaluation of wind energy potential and trends in Morocco Heliyon Energy Wind turbine design Wind energy Energy resources Wind turbine Horizontal-axis wind turbine |
author_facet |
Younes El Khchine Mohammed Sriti Nacer Eddine El Kadri Elyamani |
author_sort |
Younes El Khchine |
title |
Evaluation of wind energy potential and trends in Morocco |
title_short |
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_sort |
evaluation of wind energy potential and trends in morocco |
publisher |
Elsevier |
series |
Heliyon |
issn |
2405-8440 |
publishDate |
2019-06-01 |
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. |
topic |
Energy Wind turbine design Wind energy Energy resources Wind turbine Horizontal-axis wind turbine |
url |
http://www.sciencedirect.com/science/article/pii/S2405844018374474 |
work_keys_str_mv |
AT youneselkhchine evaluationofwindenergypotentialandtrendsinmorocco AT mohammedsriti evaluationofwindenergypotentialandtrendsinmorocco AT nacereddineelkadrielyamani evaluationofwindenergypotentialandtrendsinmorocco |
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