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This research aims to assess how fuzzy modeling can support energy policy decisions regarding emission reduction in selected Polish municipalities.

August 9, 2026EnergiesOpen Access

Fuzzy Modeling as a Tool Supporting the Energy Policy of Selected Municipalities (Poland)

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Randomized trial examines emission reduction strategies in municipalities, indicating implications for local energy policy.

This research aims to assess how fuzzy modeling can support energy policy decisions regarding emission reduction in selected Polish municipalities.
Analysis of Low-Emission Economy Plans (LEEPs) for four municipalities in Poland's Kuyavian–Pomeranian Voivodeship.
Application of fuzzy logic modeling and multi-criteria analysis to identify key variables in energy decision-making.
Development of diagrams to map the relationships between energy efficiency, building standards, and emissions.
Variant W1's focus on renewable energy investments significantly reduced greenhouse gas emissions.
Strong links were established between energy efficiency improvements and building energy standards.
Reduced final energy consumption is associated with lower greenhouse gas emissions, emphasizing crucial interrelations.

Sztubecka et al. (2026) studied this question.

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