Experimental study of the in-cylinder pressure and performance of a biogas fueled SI engine and its prediction by ANN application

Pankaj Kumar, Santosh kumar Hotta, Niranjan Sahoo and Vinayak Kulkarni

Energy, 2025, vol. 326, issue C

Abstract: Adopting sustainable alternative fuels and optimizing engine operating conditions are crucial for minimizing environmental pollution. Biogas serves as a viable substitute, offering a partial reduction in both pollution and fossil fuel dependency. Hence, in the present investigation a single-cylinder, biogas-fueled SI engine was studied under varying compression ratios(CR 8–14), engine loads(2–16 kg), and speed ranges(1400–1700 rpm) to assess its performance parameters and pressure profile for providing insights into its combustion characteristics. However, experimental studies face challenges due to high costs, labor intensity, and time constraints. Artificial neural networks (ANN) provide a fast and energy-efficient soft computing approach for predicting combustion, performance, and emissions characteristics of the engine.

Keywords: Biogas; MISO; MIMO; ANN (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:326:y:2025:i:c:s0360544225018456

DOI: 10.1016/j.energy.2025.136203

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