DYNA JOURNAL ENGINEERING

Key words:

FUCOM model, Mahalanobis distance TOPSIS, renewable energy, sustainability evaluation, Multi-Criteria Decision Making (MCDM), Energy Policy, Resource Allocation, Renewable Energy Sources (RES), China, Sustainability Indicators, Comparative Analysis, Energy Transition, Decision Support Systems, Environmental Impact.

Article type:

ARTICULO DE INVESTIGACION / RESEARCH ARTICLE

Section:

RESEARCH ARTICLES

Renewable energy development is crucial for addressing energy security and climate change, yet it faces challenges such as low energy density, high costs, and policy gaps. To enhance decision-making, this study proposes a novel sustainability evaluation framework combining the Full Consistency Method (FUCOM) and Mahalanobis distance-based TOPSIS, tailored to account for renewable energy characteristics like resource availability and renewability. Focusing on China, we assess six renewable energy types (solar, wind, hydraulic, biomass, geothermal, and ocean) using 21 third-level indicators weighted via FUCOM. Results indicate high sustainability for solar, wind, and hydraulic energy, while biomass, geothermal, and ocean energy exhibit weaker sustainability due to technological and resource constraints. This approach not only differentiates from traditional fossil fuel assessments but also provides actionable insights for policymakers to prioritize resource allocation and optimize renewable energy strategies.

Keywords: FUCOM model, Mahalanobis distance TOPSIS, renewable energy, sustainability evaluation, Multi-Criteria Decision Making (MCDM), Energy Policy, Resource Allocation, Renewable Energy Sources (RES), China, Sustainability Indicators, Comparative Analysis, Energy Transition, Decision Support Systems, Environmental Impact.