GIS-Based Multi-Criteria Decision Analysis and Wind Energy Potential Assessment Using Weibull Distribution in Tunisia.

This study presents an integrated framework for assessing potential sites for large-scalewind energy projects across Tunisia, considering regional development plans,geography, climate, and infrastructure. The methodology combines GeographicInformation Systems (GIS) and Multi-Criteria Decision-Making (MCDM), applying theAnalytic Hierarchy Process (AHP) to assign weights to key indicators, including windspeed, wind power density, proximity to infrastructure, road accessibility, elevation,slope, land use, and urban proximity. Wind speed analysis and potential energyestimation were performed using the Weibull distribution, enhancing the accuracy of sitesuitability maps. Results indicate that approximately 3.7% of Tunisia’s land (6,053 km²),primarily in the southeastern regions (Tataouine, Medenine, southern Gabes, easternKebili) and selected northeastern coastal areas (Bizerte, Sidi Daoud), is highly suitablefor large-scale wind energy projects, with potential annual energy production exceeding30,440–39,566 MWh/km². Central regions are moderately suitable for medium -scale orhybrid solar-wind projects, while northwestern and densely populated central areas areless favorable for wind energy but suitable for solar generation. This framework providesa valuable reference for strategic renewable energy planning, supporting informeddecision-making to fully exploit Tunisia’s wind energy potential.