Shahrood University of Technology Journal of Solid and Fluid Mechanics 2251-9475 12 5 2022 11 22 Wind Energy potential evaluation and customizing a H-rotor Turbine based on Tehran, Zahedan and Manjil climate Wind Energy potential evaluation and customizing a H-rotor Turbine based on Tehran, Zahedan and Manjil climate 267 281 2643 10.22044/jsfm.2022.11306.3486 FA Saeed Karimian Tarbiat Modares university Seyed Sam Saham Tarbiat Modares university Journal Article 1400 08 03 Using some small wind turbines which is both simple in fabrication and efficient in wind energy extraction is very attractive. In this research wind energy potential has been assessed for 3 distinct locations in Iran composing Tehran, Zahedan and Manjil. Consequently, a typical H-rotor wind turbine is being localized based on these locations climate. A baseline design has been introduced and a semi-analytical 3D method has been developed for design improvement and geometric modifications. The DMST algorithm has been embedded in the code and the validation analysis is being presented. Parametric study and the corresponding results have been investigated including the effect of wind velocity, number of blades, chord length and blade dimension. The performance issues are power coefficient and force coefficient. based on the results presented it has been revealed that changing geometric variables can improve the turbine characteristics by 20-40 percent. Therefore, it is possible to propose some localized layouts based on the spatial wind profile and wind power study. one may start with the presented framework and utilize the Genetic algorithm in order to achieve an optimized design in continuation. Using some small wind turbines which is both simple in fabrication and efficient in wind energy extraction is very attractive. In this research wind energy potential has been assessed for 3 distinct locations in Iran composing Tehran, Zahedan and Manjil. Consequently, a typical H-rotor wind turbine is being localized based on these locations climate. A baseline design has been introduced and a semi-analytical 3D method has been developed for design improvement and geometric modifications. The DMST algorithm has been embedded in the code and the validation analysis is being presented. Parametric study and the corresponding results have been investigated including the effect of wind velocity, number of blades, chord length and blade dimension. The performance issues are power coefficient and force coefficient. based on the results presented it has been revealed that changing geometric variables can improve the turbine characteristics by 20-40 percent. Therefore, it is possible to propose some localized layouts based on the spatial wind profile and wind power study. one may start with the presented framework and utilize the Genetic algorithm in order to achieve an optimized design in continuation. https://jsfm.shahroodut.ac.ir/article_2643_71284ef0ef88fa40605eb8da5b760ce0.pdf