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A Feasibility Analysis of Wind Energy Potential and Seasonal Forecasting Trends in Thatta District: A Project to Combat the Energy Crisis in Pakistan

doi: 10.3390/en18010158
Wind energy has emerged as a viable alternative to fossil fuels due to its clean and cost-effective nature. Pakistan, facing growing energy demands and the imperative to reduce carbon emissions, has invested significantly in wind power to supply electric power in rural and urban communities, particularly in the Thatta district of Sindh Province of Pakistan. However, the sustainability of wind energy generation is contingent upon consistent and sufficient wind resources. This study examines the wind potential of Thatta district from 2004 to 2023 to assess its suitability for large-scale wind power development. To evaluate the wind potential of Thatta district, seasonal wind speed and direction data were collected and analyzed. Wind shear at different heights was determined using the power law, and wind potential maps were generated using GIS interpolation techniques. Betz’s law was employed to assess wind turbine power density. Box–Jenkins ARIMA and SARIMA models were applied to predict future wind patterns. This study revealed that Thatta district experienced sufficient wind speeds during the study period, with averages of 9.7 m/s, 7.6 m/s, 7.4 m/s, and 4.8 m/s for summer, autumn, spring, and winter, respectively. However, a concerning trend of decreasing wind speeds has been observed since 2009. The most significant reductions occurred in summer, coinciding with Pakistan’s peak electricity demand. While Thatta district has historically demonstrated potential for wind energy, the declining wind speeds pose a challenge to the sustainability of wind power projects. Further research is necessary to identify the causes of this trend and to explore mitigation strategies.
- University of Karachi Pakistan
- Northeast Normal University China (People's Republic of)
- Northeast Normal University China (People's Republic of)
- A'Sharqiyah University Oman
- Chinese Academy of Sciences China (People's Republic of)
SARIMA, Technology, GLS method, T, GIS and IDW, short-term forecasting, wind power generation, ARIMA
SARIMA, Technology, GLS method, T, GIS and IDW, short-term forecasting, wind power generation, ARIMA
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