Novel exploration of hub heights on economics and Weibull distribution methods for wind power potential in Indian sites

Abstract

Wind energy is a clean and practical way to create electricity. It necessitates assessment of wind power potential (WPP) and its economic analysis at different height. In this context, this study examines WPP assessment for 62 different locations of 12 states in India from 10 m to 150 m height using six methods. The effectiveness of each method was performed through the computation of relative power density error (RPDE). The results suggested that the best method to estimate the WPP is NEPFM followed by EMM, EMJ and EML. It is found that Barkheri Bazar of Madhya Pradesh, Raipur, Chakal of Maharashtra, Vajrakarur of Andhra Pradesh, Kamagiri, M.S Puram, Servallar Hills of Tamil Nadu, Sangasar, Suvarda, of Gujarat are come under Wind Class 2, Mount Harriet, South Bay of Andaman and Nicobar, Nagda of Madhya Pradesh, Jagmin of Maharashtra, Kanyakumari of Tamil Nadu, Mahidad of Gujarat come under Wind Class 3, Kalunirkulam of Tamil Nadu under Wind Class 4, Brahmanwel of Maharashtra fall in Wind Class 5. A technical assessment is also made using six different wind turbine Models, through the computation of their respective capacity factors, annual power and energy outputs. Furthermore, the economic feasibility of these wind turbine gave cost of energy (COE) variation from 0.28 to 15.31 $/kWh at 10 m hub height of wind turbine and at 150 m hub height of wind turbine COE varies from 0.10 to 3.53 $/kWh. This study is useful for industry