Optimization of the Wind Turbines Location in Kaberten Wind Farm in Algeria

Mohamed, Benmbarek; Benzergua, Fadela; Khiat, Mounir

doi:10.1016/j.egypro.2015.07.532

Cited by 9 publications

(6 citation statements)

References 2 publications

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“…Spielhofer et al [23] demonstrate how a state-of-the-art evolutionary optimization algorithm can inform policy makers in leveraging various planning policies to optimize the location of wind turbines. Using GH WindFarmer and WAsP software, Mohamed et al [24] improved the placement of wind turbines in the Kaberten park and reduced losses as a result of the trail's influence. Li et al [25] selected fourteen small-to medium-sized commercially available wind turbines in Urumqi and Xining in China and analyzed their mean energy outputs and capacity factors.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Wind Turbine Location and Wind Energy Resource Evaluation Methodology in Port Scenarios

Huang,

Liu,

Zhong

et al. 2024

Sustainability

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Wind energy is widely distributed in China as a renewable energy source. Aiming to alleviate the issues resulting from fossil fuel consumption faced by developing and developed countries (e.g., climate change) and to meet development needs, this study innovatively proposed methods for the location selection of wind farms and wind turbines in port areas based on the fuzzy comprehensive evaluation method. Considering that the wind turbine location is crucial to wind power generation, this paper focuses on locating wind turbines within a specific set of sea ports. The primary objectives of this paper are to evaluate the potential of wind power generation under different port scenarios and develop a method for assessing the potential of wind energy resources in wind farm areas. Firstly, a method is proposed for identifying the boundaries of wind farms in the port areas and locating wind turbines at sea ports. Furthermore, this study used the National Aeronautics and Space Administration (NASA) wind speed database to test the proposed method with the real-world wind power projects of the Ports of Tianjin, Shanghai, Xiamen, Shenzhen, and Hainan, which are top ports within five major coastal port clusters in China. It is found that the potential power generation capacity of the wind power farms at the above ports is 30.71 GWh, 19.82 GWh, 16.72 GWh, 29.45 GWh, and 24.42 GWh, respectively. Additionally, sensitive results for different types of wind turbines are conducted in the following experiment. The results of this study are fundamental for enriching the research of evaluating wind energy resources of sea ports and promoting the development and use of clean energy in practical environments. Further, the method proposed in this study is essential for optimizing the location and construction of wind turbines, which may help ports in adopting a low-carbon and green development path, thereby mitigating air pollution, and promoting sustainable development.

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Section: Literature Reviewmentioning

confidence: 99%

Research on Wind Turbine Location and Wind Energy Resource Evaluation Methodology in Port Scenarios

Huang,

Liu,

Zhong

et al. 2024

Sustainability

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“…The Kaberten wind farm is located about 72km north of the city of Adrar near a Sonelgaz substation, made up of 12 Gamesa G52 type wind turbines, located on a site with a total area of 33 hectares [14][15][16][17]. The project was carried out by two subsidiaries of the Sonelgaz group under the supervision of Cegelec (for the assembly of the equipment).…”

Section: Wind Turbine Characteristicmentioning

confidence: 99%

Temperature and Wind Distribution Effects on Wind Energy Production in Adrar Region (Southern Algeria)

Benmedjahed¹,

Dahbi²,

Hadidi³

et al. 2021

IJSDP

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The hottest transitions occur in the summer, as we notice during this period the peak of electricity consumption in Adrar, where the electricity network must use all kinds of energy, especially the wind energy produced by Cabertein wind farm. We evaluated the effect of temperature and wind distribution on the energy produced by one of Gamesa G52 wind turbines, and this was done by studying the wind distribution and determining the number of hours per year according to five cases. Finally, to estimate the monthly produced energy, we used a logical temperature equation, and then we determined the seasonal and annual energy. Low winds are the only reason why wind turbines are unable to produce electricity for a monthly period ranging from 152 An hour (May) to 274 hours (September), meaning that the seasonal production stop, for this reason, ranges between 590 hours (spring) and 779 hours (summer), with an average of 2736 hours per year, while temperatures did not constitute an obstacle to electricity production except. In three months for a short period of 2 hours (June and July) and 22 hours (August), affecting production in the summer season, with an estimated time of 26 hours.

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“…In order to quantify the wind park of such a region, it is necessary to have the distribution of the wind speed and direction on the site. In the southwest of Algeria, the Kaberten region of the Wilaya in Adrar has significant wind potential that allows to install a wind farm for electricity generation [14]. The hourly wind data (speed and direction) for each day, every month for 5 years are measured by the weather station at Adrar Airport [18].…”

Section: Wind Resource Assessmentsmentioning

confidence: 99%

“…The efficiency of analytical methods is also studied to increase the performance of energy production with several hub heights. Benmbarek et al [14] have used the GH Wind Farmer and Wind Atlas Analysis and Application Program (WAsP) software in order to optimize the location of ten turbines in the site of Kaberten. Authors explain the increasing significance of net energy in every wind generator by the decrease of the trail effect in the park.…”

Section: Introductionmentioning

confidence: 99%

Configuration of wind farm in Kaberten region: wind potential and optimal capacity

et al. 2019

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The configuration of a wind farm depends mainly on the wind potential and the disposition of the wind turbines in this park. The windiest site is the most favorable for a future installation of wind turbines for the production of electricity, also, in this same site, a too dense arrangement would lead to considerable of power losses under the effect of wake. In this context, it is presented a research work that consists of determining the installation conditions of a wind farm; evaluating the wind farm through measurements of wind speed and the location of wind turbines in the park to minimize the effect of wind turbine interference. In order to do this, an evaluation study of the wind potential for the implementation of a wind farm based on the quantification of the wind in speed and directions firstly proposed. Secondly, a method for optimizing the positioning of wind turbines in a wind power farm is used based on the introduction of the Jensen wake model and the application of the iterative pseudo-random distribution approach of the turbines in the site. Simulation results are presented and discussed using data from the Kaberten site in Algeria and the characteristics of the GAMESA G52 wind turbine.

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Optimization of the Wind Turbines Location in Kaberten Wind Farm in Algeria

Cited by 9 publications

References 2 publications

Research on Wind Turbine Location and Wind Energy Resource Evaluation Methodology in Port Scenarios

Research on Wind Turbine Location and Wind Energy Resource Evaluation Methodology in Port Scenarios

Temperature and Wind Distribution Effects on Wind Energy Production in Adrar Region (Southern Algeria)

Configuration of wind farm in Kaberten region: wind potential and optimal capacity

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