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February 13, 2026Scientific ReportsOpen Access

Sustainable assessment of renewable energy microgrid architectures using a probabilistic hesitant fuzzy MCDM approach

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Authors

MVMuniyandi VijayKSKrishnan SuvithaNANaif Almakayeel

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Overview

New framework ranks microgrid options based on cost-effectiveness and environmental impact for energy planners and engineers.

Key Points

  • The aim is to assess and rank microgrid architectures for sustainable energy systems.
  • Developed a hybrid MCDM framework combining AHP for criterion weights and ARAS for ranking microgrid configurations.
  • Applied Probabilistic Pythagorean Hesitant Fuzzy Set to incorporate expert judgment variability.
  • Evaluated seven microgrid alternatives against sustainability criteria.
  • Identified the Hydrogen-based Microgrid as the preferred option.
  • Ranked Wind + Solar Hybrid and Solar PV + Biogas Hybrid as further viable configurations.
  • Enhancement in decision-making robustness under uncertainty due to the proposed framework.

Cite This Study

Vijay et al. (2026) studied this question.

synapsesocial.com/papers/698e70d96645d80bf91f9a5ehttps://doi.org/10.1038/s41598-026-39733-8
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