Ramafikeng, MontsengAjayi, OluibukunAdeleke, Adedayo2025-07-032025-07-032025-09Ramafikeng, M., Ajayi, O. & Adeleke, A. 2025, 'A web-based decision support tool for multifarious renewable energy systems', Renewable Energy Focus, vol. 54, art. 100702, pp. 1-23, doi : 10.1016/j.ref.2025.100702.1755-0084 (print)1878-0229 (online)10.1016/j.ref.2025.100702http://hdl.handle.net/2263/103142DATA AVAILABILITY : Data will be made available on request.Current global electricity demand is unprecedented, and it has perpetuated severe energy shortages and an increased reliance on and use of unsustainable non-renewable sources, particularly in countries across Africa. In South Africa, the growing energy demand, coupled with ageing coal-based electricity infrastructure, has fuelled interest, discourses, and research on the potential use of renewable energy. Therefore, this study aimed to use Geographic Information Systems (GIS) and Remote Sensing techniques to create a web-based interactive decision-making tool to measure and assess the availability and potential of wind, solar, and biomass energy sources, as well as to identify the most suitable sites for wind farms in the Atlantis area of South Africa’s Western Cape. This was achieved by implementing a map mashup using JavaScript and Hypertext Mark-up Language (HTML) to retrieve information about wind, solar, and biomass potential together with suitable areas to locate wind farms. The maximum solar radiation received by rooftops was approximately 1499 kWh/m2, which could potentially generate 287.9 kilowatts of electricity using a solar panel efficiency of 15% and a performance ratio of 86%. Similarly, the urban wind energy potential via building-integrated wind turbines was 102.3 kilowatts, utilising a nominal power of 10% and a minimum area of 24m2. Additionally, the biomass estimation was around 586.4 Mg/ha, potentially generating 7.5 kilowatts of electricity using a conversion efficiency of 20% and a heating value of 4.5. Consequently, the web-based platform provides a one-stop resource for investors, planners, and policymakers to access and make well-informed decisions about multifarious renewable energy potentials.en© 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Geographic information system (GIS)Web decision support toolMultifarious renewable energyFossil fuelSolar photovoltaic energyWind energyBiomass energyArticle