Wind flow simulation and characteristics prediction using WAsP software for energy planning over the region of Hassi R’mel

Meziane, Fares; Chellali, Farouk; Mohammedi, Kamal; Nouicer, Ilyes; Kabouche, Nourdine

doi:10.1080/15435075.2021.1875470

Cited by 11 publications

(5 citation statements)

References 42 publications

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“…These results further strengthen the case for wind farm installation and underscore the region's suitability for wind energy projects, corroborated by favorable comparisons to previous studies (Dayal et al, 2021) (Meziane et al, 2021) (Boudia & Guerri, 2015).…”

Section: Wind Farm Design and Energy Outputsupporting

confidence: 86%

“…Wind direction assessment identifies the predominant direction and amplitude of the most common wind (Meziane et al, 2021). WAsP software was used to generate wind roses for all three sites.…”

Section: Dominant Wind Directions (Wind Roses)mentioning

confidence: 99%

“…Few studies have employed extended time series data in Algeria (Meziane et al, 2021) (Diaf & Notton, 2013), and only a few works have reported on the assessment of wind potential in the Highlands, with no reports evaluating the Mecheria site. The current study aims to introduce a scientifically rigorous approach with an international standards-compliant methodology to assess wind potential in Algeria's southwestern highlands, which include three regions: Mecheria, El Kheiter, and Naâma, using WAsP software with the latest wind speed and wind direction data collected at the National Meteorological Office (ONM) network between 2011 and 2021.…”

Section: Introductionmentioning

confidence: 99%

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Site suitability analysis of wind energy resources in different regions of Algeria’s southwestern highland

Amrani,

Marih,

Missoum

et al. 2023

Int. J. Renew. Energy Dev.

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This paper presents a site suitability analysis for a 20 MW wind farm project in western Algeria’s highlands. The aim is to improve the quality of the electricity grid’s service and increase Algeria’s renewable energy utilization. The wind potential of three regions, Mecheria, El Kheiter, and Naâma, was evaluated using the Weibull function and the wind atlas analysis and application program (WAsP) with a ten-year database (2011-2021) at 10 m hub height. The assessment encompassed a comprehensive analysis of various wind resource parameters, including mean wind speed, prevailing direction, and power densities. In comparison to other sites, the Mecheria region has the best wind potential, with a mean annual wind speed of 6.31 m/s, a power density of 283 W/m2, and Weibull parameters A = 7.1 m/s and k = 2.02. These promising results prompted us to design a wind farm in this region using Power Wind 90/2000 kW turbine technology facing the predominant wind directions of the site, producing 103.91 GWh of total annual gross energy produced (gross AEP) and 103.75 GWh of total annual net energy produced (net AEP). Finally, it appears that the wind resources in the selected region are well-suited for electricity generation, offering a promising opportunity to reduce the country's dependence on fossil fuels.

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Section: Wind Farm Design and Energy Outputsupporting

confidence: 86%

Section: Dominant Wind Directions (Wind Roses)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Site suitability analysis of wind energy resources in different regions of Algeria’s southwestern highland

Amrani,

Marih,

Missoum

et al. 2023

Int. J. Renew. Energy Dev.

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“…In general, the wind ow model simulates the ow over obstacles, the roughness change, the construction, and the sheltering obstacles, the varied topography is in uent the characteristics of wind ow (Meziane et al 2021). Respecting wind ow modelling methods characterize the wind ow in the atmospheric boundary layer.…”

Section: Mesoscale and Microscale Modellingmentioning

confidence: 99%

“…The quantity of wind energy production generally depends on the wind speed distribution, the topography of the territory, the location of wind turbines and the wind turbine features (Meziane et al 2021). In this research, the mean wind speed results from microscale wind resource maps at elevations of 120 m (AGL) of the research area, which was applied to determine the minimum of wind speed that starts the power generation of the wind turbine or mention the cut-in speed of the turbine (BRANZ Inc 2022).…”

Section: Wind Turbine Selection and Wind Energy Potential Estimationmentioning

confidence: 99%

Mesoscale/Microscale modelling for evaluation of wind energy potential and cost energy in developing country using a high-resolution grid: A case study in the northeastern region of Thailand

Tawinprai

Polnumtiang

Suksomprom

et al. 2023

Preprint

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The high demand for electricity during the pandemic has increased electricity prices. Awareness of power generation from renewable sources has become a global commitment to improve environmental issues due to greenhouse gas emissions. Wind resource maps for the center of the northeastern region of Thailand are presented in this research. Wind energy potential maps were obtained by mesoscale (MC2) and microscale (Ms-Micro) wind flow modelling. The simulation results were validated using observations from the wind mast installed in the research area. Indicated that the mean wind speed at an elevation of 120 m (AGL) varies in range from 1.52 to 3.62 m/s, 2.49 to 3.29 m/s, and 2.26 to 3.42 m/s for Khon Kaen, Maha Sarakham and Roi Et site, respectively. The wind power estimation revealed that the Maha Salakham site could produce the largest energy of 17,804.16 MWh/year, in accordance with a capacity factor of approximately 21% and an LCOE value about 0.21 USD/kWh. Nevertheless, the information on wind potential, as displayed in this research, must be additionally considered for the monitoring and estimation of the performance of other types of wind turbines, the impact on the environment, and social acceptance in further research.

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Techno-Economical Optimization of Electrical Production from Wind Power Plant Connected to the Electrical Grid in LAGHOUAT Region

Bouchiba

Hamidat

Chettih

et al. 2023

Lecture Notes in Networks and Systems

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Wind flow simulation and characteristics prediction using WAsP software for energy planning over the region of Hassi R’mel

Cited by 11 publications

References 42 publications

Site suitability analysis of wind energy resources in different regions of Algeria’s southwestern highland

Site suitability analysis of wind energy resources in different regions of Algeria’s southwestern highland

Mesoscale/Microscale modelling for evaluation of wind energy potential and cost energy in developing country using a high-resolution grid: A case study in the northeastern region of Thailand

Techno-Economical Optimization of Electrical Production from Wind Power Plant Connected to the Electrical Grid in LAGHOUAT Region

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