A new semi-empirical wind turbine capacity factor for maximizing annual electricity and hydrogen production |
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| Affiliation: | 1. Department of Mechanical Engineering, Australian College of Kuwait, Mishref, Kuwait;2. Industrial Engineering Department, Yazd University, Yazd, Iran;3. Department of Mechanical Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran;4. Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran;1. Institute of Research and Development, Duy Tan University, Da Nang, 550000, Viet Nam;2. The Faculty of Civil Engineering, Duy Tan University, Da Nang, 550000, Viet Nam;3. Department of Sustainable Energy, Faculty of Environmental Management, Prince of Songkla University, 90110, Songkhla, Thailand;4. Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba''i University, Tehran, Iran;5. Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran;6. Department of Mechanical Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran;1. Department of Mechanical Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran;2. Young Researchers and Elite Club, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran;3. Industrial Engineering Department, Yazd University, Yazd, Iran;4. Department of Architecture Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran;5. Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University, Doha, Qatar;1. Community College, Mechanical Engineering Technology, University of Hafr Al Batin, Hafr Al Batin, Saudi Arabia;2. Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran;3. Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba''i University, Tehran, Iran;4. Faculty Environmental Management, Prince of Songkla University, 90110 Songkhla, Thailand;5. Environmental Assessment and Technology for Hazardous Waste Management Research Center, Faculty of Environmental Management, Prince of Songkla University, 90110 Songkhla, Thailand;6. Industrial Engineering Department, Yazd University, Yazd, Iran;7. Department of Mathematical and Computer Modelling, Faculty of Mechanics and Mathematics, Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan;8. Department of Mathematics and Cybernetics, Kazakh-British Technical University, Almaty 050000, Kazakhstan;1. Industrial Engineering Department, Yazd University, Yazd, Iran;2. Electrical Engineering Department, Yazd University, Yazd, Iran;3. Faculty of Social Sciences, Yazd University, Yazd, Iran;1. Department of Mechanical Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran;2. Queensland Micro and Nanotechnology Centre, Griffith University, Nathan, 4111, QLD, Australia;3. Industrial Engineering Department, Yazd University, Yazd, Iran;4. Department of Electrical Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran;5. Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba''i University, Tehran, Iran;6. Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran |
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| Abstract: | The capacity factor is an important wind turbine parameter which is ratio of average output electrical power to rated electrical power of the wind turbine. Another main factor, the AEP, the annual energy production, can be determined using wind characteristics and wind turbine performance. Lower rated power may lead to higher capacity factor but will reduce the AEP. Therefore, it is important to consider simultaneously both the capacity factor and the AEP in design or selecting a wind turbine. In this work, a new semi-empirical secondary capacity factor is introduced for determining a rated wind speed at which yearly energy and hydrogen production obtain a maximum value. This capacity factor is expressed as ratio of the AEP for wind turbine to yearly wind energy delivered by mean wind speed at the rotor swept area. The methodology is demonstrated using the empirical efficiency curve of Vestas-80 2 MW turbine and the Weibull probability density function. Simultaneous use of the primary and the secondary capacity factors are discussed for maximizing electrical energy and hence hydrogen production for different wind classes and economic feasibility are scrutinized in several wind stations in Kuwait. |
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| Keywords: | Annual energy production Capacity factor Hydrogen production Weibull distribution Wind speed |
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