RT Journal Article
T1 Multi-criteria evaluation and multi-method analysis for appropriately selecting renewable energy sources in Colombia
A1 Moreno Rocha, Christian Manuel
A1 Núñez-Álvarez, José R.
A1 Rivera-Alvarado, Juan
A1 Ghisayz Ruiz, Alfredo
A1 Buelvas-Sánchez, Enderson A.
K1 Energy Optimization
K1 Environmental and Energy Sustainabilit
K1 Hierarchical analytical process (HAP)
K1 Hierarchical analytical process with fuzzy logic (FAHP)
K1 Methods of Decision
K1 Renewable energies
AB This research explores the implementation of renewable energy technologies for power generation using multi-criteria decision-making (MCDM) methods, including AHP, FAHP, TOPSIS, and FUZZY-TOPSIS. Ten renewable energy alternatives were evaluated across seven geographic regions in Colombia, revealing variability in preferences depending on the method and scenario. Alternatives 6 and 4 frequently stood out, while others showed varied rankings. This study significantly contributes to the energy sector by offering a rigorous framework for selecting renewable generation technologies, supporting sustainable energy planning, and providing a model for replication in global contexts, some key points are: • The study applied systematic MCDM approaches to assess renewable energy sources. • Results demonstrated method-dependent variability and highlighted regional preferences. • It sets a benchmark for integrating sustainable practices into energy planning worldwide.
PB Elsevier
YR 2025
FD 2025-02-27
LK https://hdl.handle.net/10347/46943
UL https://hdl.handle.net/10347/46943
LA eng
NO Moreno-Rocha, C. M., Nuñez-Alvarez, J. R., Rivera-Alvarado, J., Ruiz, A. G., & Buelvas-Sanchez, E. A. (2025). Multi-criteria evaluation and multi-method analysis for appropriately selecting renewable energy sources in Colombia. MethodsX, 14. https://doi.org/10.1016/J.MEX.2025.103248
DS Minerva
RD 21 may 2026