Decision Support for Sustainable Energy Choices: An MCDM Framework for High Renewable Energy System (HRES) Selection

This research project utilizes Multi-Criteria Decision-Making (MCDM) techniques, specifically Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA), to enhance the selection of High Renewable Energy Systems (HRES). As global environmental concerns intensify, HRES selection becomes pivotal for sustainable energy solutions. The project’s primary objective is to furnish decision-makers with a structured framework that accommodates numerous criteria and objectives. Initially, an extensive set of criteria, spanning environmental, economic, and technical aspects of HRES, is established. AHP assigns relative weights to these criteria, ensuring a well-informed decision-making process. Subsequently, TOPSIS ranks HRES alternatives based on their performance against these criteria, yielding a shortlist of viable HRES solutions. MOORA extends the analysis by addressing conflicting objectives within the decision-making process, accommodating both maximization and minimization objectives. Combining insights from AHP, TOPSIS, and MOORA offers a comprehensive overview of the most appropriate HRES alternatives. This holistic approach equips decision-makers with valuable information on trade-offs and benefits, facilitating the selection of HRES solutions that align with diverse goals. By leveraging these MCDM methods, this project promotes systematic and informed HRES selection, fostering the advancement of sustainable energy solutions and contributing to a greener future.