Evaluation of wind energy potential and trends in Morocco

Khchine, Younes El; Sriti, Mohammed; Elyamani, Nacer Eddine El Kadri

doi:10.1016/j.heliyon.2019.e01830

Cited by 77 publications

(44 citation statements)

References 41 publications

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“…This is a two-parameter distribution, depending only on scale and shape parameters. For this purpose, there are several methods that could be studied, such as the Weibull probability density function, the wind variability method, the standard deviation method, the power density method, the Moroccan method, and so on [17]. All of these methods have one objective in common which is validating Weibull parameters.…”

Section: Wind Speedmentioning

confidence: 99%

Qatar’s Wind Energy Potential with Associated Financial and Environmental Benefits for the Natural Gas Industry

Méndez

Biçer

2019

Energies

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This study analyzes the possibility to use the wind's kinetic energy to produce electricity in Northern Qatar for the natural gas processing industry. An evaluation of the wind potentiality is performed based on a thorough analysis of parameters such as wind speed and direction, temperature, atmospheric pressure, and air density. In addition, based on the measured parameters, a commercial wind turbine is selected, and a case study is presented in order to quantify the energy that a wind farm could produce and its environmental benefits. Furthermore, an economical assessment is made to quantify the repercussions that it could produce if this wind farm substitutes a fraction of the energy demand (within the oil and gas field) that is currently generated by traditional hydrocarbons.The results indicate that the environmental parameters, led by a 5.06 m/s wind speed mean, allow the production of wind energy in the area with an annual CO 2 savings of 6.813 tons in a 17 MW wind power plant. This enables Qatar to reduce its internal oil and gas consumption. As a result, the amount of hydrocarbon (natural gas) saved could be used for exportation purposes, generating a positive outcome for the economy with a cost savings of about 3.32 million US$ per year through such a small size wind power plant. From the energy production point of view, the natural parameters enable a single wind turbine to produce an average of 6995.26 MWh of electricity. Furthermore, the wind farm utilized in the case study is capable of generating an average of 34.976 MWh in a year.

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Section: Wind Speedmentioning

confidence: 99%

Qatar’s Wind Energy Potential with Associated Financial and Environmental Benefits for the Natural Gas Industry

Méndez

Biçer

2019

Energies

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“…In order to find the best model to predict wind speed on a short time scale we rely on meteorological data from the city of Tetouan [13] [14] taken every hour throughout 2018 from the site www.wunderground.com. Our data is identified by wind speed (WS) en m/s, wind direction (DIR) en deg, the temperature (TMP) en °C, the dew temperature (DEW) en °C, atmospheric pressure (ATM) en hPa, and humidity (H) en %.…”

Section: Methodsmentioning

confidence: 99%

Levenberg-Marquardt Training Function using on MLP, RNN and Elman Neural Network to Optimize Hourly Forecasting in Tetouan City (Northern Morocco)

Amellas¹,

Djebli²,

Echchelh³

2020

JESTR

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“…There are several approaches to this method, like those indicated by Singh et al (2019) and by Sumair et al (2020); however, all of these techniques are related and are used as a step to calculate the wind's energy potential in certain location. In the present study, the selected method determines the wind regime's characteristics, based on two parameters (shape and scale) (El Khchine et al, 2019). As done in (M endez and Bicer, 2019) the calculations will be performed based on the median, also using quartiles via the implementation the following expressions (Justus et al, 1978).…”

Section: Wind Speedmentioning

confidence: 99%

Towards a sustainable 2022 FIFA World Cup in Qatar: Evaluation of wind energy potential for three football stadiums

Méndez

Biçer

2020

Energy Exploration & Exploitation

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This study analyzes the feasibility of satisfying the demand of three Football Stadiums for the 2022 FIFA World Cup in Qatar, using the wind’s kinetic energy. For all three selected locations (Lusail, Al Rayyan, and Al Wakrah), the wind potentiality is calculated through an environmental parameters study, from which the wind power density is obtained. Furthermore, a commercial wind turbine with proper characteristics is selected, and the same case study for each location is presented, to quantify the capacity that wind energy offers for satisfying the maximum energy demand of each associated stadium. In addition, the environmental benefits and the time required by each wind farm to satisfy the energy demand are computed. The results reveal that the conditions enable the use of wind energy for this purpose, based on a 5.06 m/s, 4.63 m/s, and 5.18 m/s velocity mean for Lusail, Al Rayyan, and Al Wakrah, respectively; from which values of 187.49 W/m2, 150.96 W/m2, and 187.29 W/m2 of wind power density are obtained. Also, the proposed wind farms could produce 69,952.56 MWh/year, 59,550.19 MWh/year, and 75,333.70 MWh/year, respectively. Moreover, the wind farms should produce energy for a period of 5.64 h, 4.41 h, and 5.23 h, to satisfy the maximum demand by a football match in its associated location. Additionally, to avoid the implementation of a storage system, the electricity obtained from the wind is connected to the power grid, decreasing the quota of fossil fuel power plants. In consequence, Qatar will eliminate the emissions of approximately 23.376 tons of CO2 in total per trio of matches held in these stadiums. Finally, a post 2022 FIFA World Cup scenario is analyzed, obtaining a positive outcome from both environmental and economic perspectives, in which an average of 14,675 tons of CO2 and 6.03 Million US$ can be saved annually.

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Evaluation of wind energy potential and trends in Morocco

Cited by 77 publications

References 41 publications

Qatar’s Wind Energy Potential with Associated Financial and Environmental Benefits for the Natural Gas Industry

Qatar’s Wind Energy Potential with Associated Financial and Environmental Benefits for the Natural Gas Industry

Levenberg-Marquardt Training Function using on MLP, RNN and Elman Neural Network to Optimize Hourly Forecasting in Tetouan City (Northern Morocco)

Towards a sustainable 2022 FIFA World Cup in Qatar: Evaluation of wind energy potential for three football stadiums

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