Investigation of spark ignition engine performance in ethanol–petrol blended fuels using artificial neural network

Investigation of spark ignition engine performance in ethanol–petrol blended fuels using artificial neural network

Abstract The increasing global cost of fossil fuels and growing environmental concerns have accelerated the search for sustainable energy alternatives, positioning bioethanol as a promising renewable fuel for spark-ignition (SI) engines. This study uniquely integrates ethanol–petrol blends (E0, E10,...

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Bibliographic Details
Main Authors: Menelik Walle, Kumlachew Yeneneh, Gadisa Sufe
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Spark-ignition engine
Ethanol–petrol blends
Artificial neural networks (ANNs)
Engine performance prediction
Combustion efficiency
Brake-specific fuel consumption (BSFC)
Online Access:https://doi.org/10.1038/s41598-025-07964-w
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https://doi.org/10.1038/s41598-025-07964-w

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