A synergistic approach based on fuzzy hybrid best–worst method and scenario planning to optimize biogas strategies

Developing effective strategies for harnessing renewable biogas energy is critical. This study introduces a novel hybrid mathematical model integrating scenario-based planning and fuzzy logic, focusing on utilizing biogas as a renewable energy source in Iran. The model aims to enhance decision-makin...

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Veröffentlicht in:	Clean technologies and environmental policy Jg. 27; H. 10; S. 5045 - 5068
Hauptverfasser:	Semsarian, Hamed, Babazadeh, Reza, Rezaei, Mohsen, Ozturk, Cemalettin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2025 Springer Nature B.V
Schlagworte:	Alternative energy sources Artificial neural networks Biofuels Biogas Biomass Biorefineries Circular economy Collaboration Cooperation Cost analysis Decision making Earth and Environmental Science Energy Energy consumption Energy industry Energy resources Environment Environmental Economics Environmental Engineering/Biotechnology Environmental protection Fossil fuels Fuzzy logic Industrial and Production Engineering Industrial Chemistry/Chemical Engineering Knowledge management Literature reviews Mathematical models Matrix methods Methods Multiple criteria decision making Municipal solid waste Neural networks Original Paper Partnerships Payback periods Planning Regression analysis Reliability Renewable energy Renewable energy sources Renewable fuels Renewable resources Research transfer Scenario planning Strategic planning Strategies Sustainable Development Uncertainty Waste management Iran Biogas Artificial neural network Renewable energy Uncertainties Scenario planning Multi-criteria decision-making
ISSN:	1618-954X, 1618-9558
Online-Zugang:	Volltext
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