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Energy Equipment and Systems، جلد ۲، شماره ۲، صفحات ۱۸۵-۱۹۳
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Aerodynamic Optimal Design of Wind Turbine Blades using Genetic Algorithm
چکیده انگلیسی مقاله Wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. In the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (BEM), and a genetic algorithm (GA) is applied as an optimization method. Output power generation is considered as an objective function, which is one of the most common choices of objective function. The optimization variables also involve chord and twist distribution variations and the placement of the airfoil sections along the blade length. The optimal blade shape is investigated for the maximum output power at a specific wind speed, rotor diameter and airfoil profile. The modified BEM results are compared with an experimental measurement indicating reliable results. The results show that considering placement of the airfoils as design variables in addition to chord and twist rate has a significant effect on the optimal output power. Finally, the objective function (output power) is improved by 10% compared to the base function.
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله مجتبی طحانی |
faculty of new sciences and technologies, university of tehran, tehran, iran
سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)

تهمینه sokhansefat |
faculty of new sciences and technologies, university of tehran, tehran, iran
سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)

کیانا رحمانی |
faculty of new sciences and technologies, university of tehran, tehran, iran
سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)

پوریا احمدی |
department of mechanical engineering, university of ontraio institute of technology, toronto, ontario, canada

نشانی اینترنتی http://energyequipsys.ut.ac.ir/article_51885_9ce23734a45ba310cfe4f8b301883353.pdf
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/392/article-392-326146.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
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