Islamic Azad University Researchers Target Wind Farms (Comparison of Monte Carlo Simulation and Genetic Algorithm in Optimal Wind Farm Layout Design in Manjil Site based on Jensen Model)

2022 JUN 22 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Life Science Daily -- A new study on wind farms is now available. According to news originating from Tehran, Iran, by NewsRx editors, the research stated, “AbstractOptimal arrangement of turbines in wind farms is very important to achieve maximum energy at the lowest cost.”

Our news journalists obtained a quote from the research from Islamic Azad University: “In the present study, the use of Vestas V-47 wind turbine and uniform one-way wind in achieving the optimal arrangement of horizontal axis turbines in Manjil with genetic and Monte Carlo algorithms has been investigated. Jensen model is used to simulate the wake effect on the downstream turbines. The objective function is considered as the ratio of cost to power of the power plant. The results show that the Monte Carlo method compared with genetic algorithm will give a better result. Under the same conditions, the Monte Carlo algorithm will give 29% and 40% better results in terms of the number of turbines and output power, respectively.”

According to the news reporters, the research concluded: “In terms of optimization, in the Monte Carlo algorithm, its fitness value is 16% less than the genetic algorithm, which indicates its better optimization.”

For more information on this research see: Comparison of Monte Carlo Simulation and Genetic Algorithm in Optimal Wind Farm Layout Design in Manjil Site based on Jensen Model. Renewable Energy Research and Applications, 2021,2(2):211-221. The publisher for Renewable Energy Research and Applications is Shahrood University of Technology.

A free version of this journal article is available at https://doi.org/10.22044/rera.2021.11062.1071.

Our news editors report that additional information may be obtained by contacting M. A. Javadi, Department of Mechanical Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran. Additional authors for this research include H. Ghomashi, M. Taherinezhad, M. Nazarahari, R. Ghasemiasl.

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