Comparative analysis of Weibull parameters estimation for wind power potential assessments

• Published in: Results in engineering 2024-09, Vol.23, p.102300, Article 102300
• Main Authors: Yadav, Amit Kumar, Malik, Hasmat, Yadav, Vibha, Alotaibi, Majed A., García Márquez, FaustoPedro, Afthanorhana, Asyraf
• Format: Article
• Language: English
• Subjects: Numerical approaches; Statistical analysis; Weibull parameters; Wind energy potential
• ISSN: 2590-1230; 2590-1230
• DOI: 10.1016/j.rineng.2024.102300

There are many renewable energy sources available, especially wind energy, but it is not being fully utilized. In the wind energy industry, Wind Power Potential (WPP) is essential since it is critical to the development, operation, and optimization of wind power plants. WPP plays a significant role in the wind energy project life cycle, impacting site selection, project viability, technology choices, and ultimate success. This means that specific WPP for certain places need to be determined for development in wind industry. The goal of this study is to conduct a statistical comparison and analysis of the efficacy of various numerical methods, including the method of moments (MoM), the energy pattern factor method (EPFM), the maximum likelihood method (MLM), the energy density method (EDM), the energy pattern factor method of Sathyajith (EPFMS), Rayleigh's distribution (Rayl), and the novel energy pattern factor method (NEPFM). These methods are compared for different sites of Andhra Pradesh India. The NEPFM is considered the most effective approach for assessing the wind energy density in the regions of Visakhapatnam, Amaravati, and Tirupati. Conversely, the MLM (Modified Logarithmic Model) technique has demonstrated superior performance in evaluating the wind energy potential specifically for the Rajamahendravaram site. The Rayleigh distribution, also known as Rayl., was utilized as the primary approach for calculating the probability density of the geographical sites of Visakhapatnam, Rajamahendravaram, and Amaravati. Additionally, the energy pattern factor method was employed to analyze the site of Tirupati. The Rayleigh distribution is found to be the most suitable statistical model for estimating the cumulative density of site locations in Visakhapatnam and Amaravati. Similarly, the innovative energy pattern factor technique is recommended for analyzing the cumulative density of site locations in Rajamahendravaram and Tirupati. •Novel analytical methods for estimating Weibull parameters are developed.•Statistical comparison of different methods of Weibull Parameters Estimation.•Different sites of Andhra Pradesh India are used as Case Study.•Novel Energy Pattern Factor Method and Rayl methods are recommended for wind distribution.