Optimizing biodiesel blends with green hydrogen fuel: A study on combustion duration, fuel mass burnt, engine performance and emissions

This article presents the outcomes of a research study focused on optimizing the performance of soybean biofuel blends derived from soybean seeds specifically for urban medium-duty commercial vehicles. The study took into consideration elements such as production capacity, economics and assumed engine characteristics. For the purpose of predicting performance, combustion and emission characteristics, an artificial intelligence approach that has been trained using experimental data is used. At full load, the brake thermal efficiency (BTE) dropped as engine speed increased for biofuel and diesel fuel mixes, but brake-specific fuel consumption (BSFC) increased. The BSFC increased by 11.9% when diesel compared to using biofuel with diesel blends. The mixes cut both maximum cylinder pressure and $${{\text{NO}}}_{{\text{x}}}$$ NO x emissions. The biofuel-diesel fuel proved more successful, with maximum reduction of 9.8% and 22.2 at rpm, respectively. The biofuel and diesel blend significantly improved carbon dioxide ($${{\text{CO}}}_{2}$$ CO 2 ) and smoke emissions. The biofuel blends offer significant advantages by decreeing exhaust pollutants and enhancing engine performance. Graphical Abstract

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Optimizing biodiesel blends with green hydrogen fuel: A study on combustion duration, fuel mass burnt, engine performance and emissions

Cited by 9 publications

References 34 publications

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Analysis and optimization of Guizotia abyssinica (L.) with alumina, titanium and diesel blends on DI engine combustion and emissions

Split injection strategy control map development through prediction-based calibration approach to improve the biodiesel-fuelled diesel engine characteristics

Optimizing soybean biofuel blends for sustainable urban medium-duty commercial vehicles in India: an AI-driven approach

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