Abstract

This study introduces a computational tool developed to identify the most sustainable alternative for integrating a hybrid renewable energy system. The approach brings together a fuzzy optimisation model, focused on minimising both the Net Present Value and carbon dioxide emissions, with the Fuzzy Analytical Hierarchy Process, incorporating economic, technical, environmental, and social criteria. To enhance usability, the tool includes an Excel-based module that allows users to adjust quantitative parameters, while qualitative aspects can be modified through editable comparison matrices in the main graphical interface. This flexibility makes it adaptable to a wide range of geographical and contextual scenarios. The proposed framework was applied in a pilot-scale case study in the municipality of Tona, Colombia. The selected energy mix consists of 57.56% photovoltaic solar energy, 35.42% biomass-based generation, and 7.02% diesel generation, achieving a Net Present Value of USD 1,765.68 and total emissions of 1,216.08 kg of carbon dioxide.

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