Regular Article

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

¹ Electrical and Electronics Engineering Department, National Institute of Technology Sikkim, Barfung Block, Ravangla, South Sikkim 737139, India
² School of Computer Science and Artificial Intelligence, SR University, Hanumakonda 506371, Telangana, India

^* Corresponding author: pradeep@nitsikkim.ac.in

Received: 18 September 2023
Accepted: 10 January 2024

Abstract

Wind energy is a clean and practical way to create electricity. It necessitates the assessment of Wind Power Potential (WPP) and its economic analysis at different heights. 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 the Novel Energy Pattern Factor Method (NEPFM) followed by the Empirical Method of Mabchour (EMM), the Empirical Method of Justus (EMJ), and the Empirical Method of Lysen (EML). 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 turbines gave Cost of Energy (COE) variation from 0.28 to 15.31 $/kWh at 10 m hub height of wind turbine and 150 m hub height of wind turbine COE varies from 0.10 to 3.53 $/kWh. This study is useful for industry.