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Fuzzy Logic Approach to the Management of Biomass and Biogas Energy Systems
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Author(s): Sahil Lal (Galgotias University, Greater Noida, India), Manmeet Kaur Arora (Sharda University, India), Bhupinder Singh (Sharda University, India), Saquib Ahmed (Sharda University, India)and Saurabh Chandra (Bennett University, Greater Noida, India)
Copyright: 2025
Pages: 12
Source title:
Leveraging AI for Innovative Sustainable Energy: Solar, Wind and Green Hydrogen
Source Author(s)/Editor(s): Hind Hammouch (University Sidi Mohamed Ben Abdellah, Morocco)and Laeeq Razzak Janjua (WSB University, Poland)
DOI: 10.4018/979-8-3373-0045-0.ch013
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Abstract
The critical aspects in this sense is to satisfy growing energy needs from renewable sources and one way or another, we need biomass/biogas as an alternative fuel instead of fossil fuels. The work introduces the basic concepts of fuzzy logic and its application in energy management. A framework to model complex relationships between impact parameters using fuzzy inference systems is developed in the research, enabling more accurate predictions and system performance assessments. Several biomass and biogas energy systems are taken as case studies to ascertain the effectiveness of proposed fuzzy logic approach. This chapter makes a timely and significant contribution to the renewable energy management field, in which researchers, practitioners and policymakers will find new insights about how biomass/biogas can be further integrated into global energy mix.
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