American
International
University-
Bangladesh

Students & Supervisors

Abstract

Introduction This study forecasts wind power possibilities by utilizing a Rayleigh Distribution technique to investigate Rajshahi, Bangladesh's potential for renewable energy. Using statistical modeling and historical data analysis, our goal is to offer insightful information on the feasibility and forecasting of wind energy in the area. Through the lens of the Rayleigh Distribution technique, this study aims to contribute to the discourse on sustainable energy by providing a comprehensive knowledge of Rajshahi's wind power prospects. Methodology When there is a lack of detailed wind data, the Rayleigh distribution offers a useful substitute for the Weibull model calculations. This simplified model, which is less precise than the full Weibull model, assumes k = 2 and provides a practical method for estimating k and c. To ensure coverage across the seasons, the process entails obtaining historical wind speed data for Rajshahi, Bangladesh, from reliable sources. The Rayleigh distribution is applied to preprocessed data after outliers and inconsistencies are eliminated. To estimate parameters like power density and mean wind speed, the Rayleigh distribution technique is used. The wind power potential in Rajshahi is then predicted using these characteristics, making it possible to determine the energy density for each month or season. Results The figure shows comprehensive Rayleigh forecasts for wind speed and related power density at three elevations (40, 60, and 80 meters) in Rajshahi, Bangladesh, during the year. A given month is represented by each row, and the estimated wind speed range and related wind power density range at each height are indicated by the columns. For example, in January, the wind speed at 40 meters in height is between 2.5 and 4.0 m/s, and the corresponding wind power density is between 15 and 75 W/m². Similarly, the figure defines these ranges for every month and altitude, offering a thorough dataset for predicting wind power potential. The comprehension of wind energy's fluctuation and potential throughout the year is made possible by these projections, which also help with the strategic planning and execution of renewable energy projects in the area. Stakeholders in Rajshahi, Bangladesh, can make well-informed judgments about the viability and optimization of wind power generation by examining these data points. Conclusion In summary, the Rayleigh Distribution technique we used in our study has illuminated Rajshahi, Bangladesh's wind power potential. Utilizing meticulous examination of past data and statistical simulations, we have furnished significant discernments regarding the anticipated patterns and feasibility of wind power in the area. The research's conclusions add to the larger discussion on sustainable energy development by providing relevant data to stakeholders, energy planners, and legislators who are considering using wind energy as a renewable resource in Rajshahi and other similar areas.

Keywords

Publication Details

• Type of Publication: Conference
• Conference Name: 23rd International Mathematics Conference
• Date of Conference: 16/05/2024 - 17/05/2024
• Venue: Department of Mathematics, University of Rajshahi, Bangladesh
• Organizer: Department of Mathematics, University of Rajshahi, Bangladesh