Abstract

This study analyzes wind speed pattern for evaluating the wind power potential of Panchagarh, Bangladesh, over a period between 2016 and 2020 by utilizing statistical methods. The Weibull and Rayleigh distribution have been used for modelling wind speed data. The wind speed data were obtained on a monthly basis, and the parameters of these distributions are obtained based on the data. The relevance of this study lies in its potential impact on decision-making processes related to wind power production. By comparing Weibull and Rayleigh probability distributions, the research aims to provide insights into how wind power varies over time and how it can be effectively harnessed for energy generation. Understanding the probability distributions of wind power is crucial for decision-makers to assess the renewable energy arena for planning, infrastructure investment, and resource allocation. Stakeholders can make a concrete decision about harnessing wind energy resources for a specific location by analyzing these distributions. Therefore, this paper's relevance stems from its focus on assessing the impact of wind power through comprehensive analysis of probability distribution functions, which can inform decision-making processes related to renewable energy utilization.

Keywords

  • Weibull distribution
  • Rayleigh distribution
  • Shape factor
  • Wind speed data
  • Wind power.

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