Optimizing SI Engine Performance and Emissions with Gasoline-Ethanol and Gasoline-Methanol Blends

Firi Ziyad , Sultan Aman , Habtamu Alemayehu , Adamu Hailu

Clean Energy Sustain. ›› 2026, Vol. 4 ›› Issue (1) : 10003

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Clean Energy Sustain. ›› 2026, Vol. 4 ›› Issue (1) :10003 DOI: 10.70322/ces.2026.10003
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Optimizing SI Engine Performance and Emissions with Gasoline-Ethanol and Gasoline-Methanol Blends
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Abstract

Although fossil fuels are the primary source of energy in the world, their greenhouse gas emissions and other pollutants provide serious environmental problems. This study uses a gasoline blend with ethanol and methanol to examine the emissions and performance of a spark ignition (SI) engine. An experimental design focused on engine input factors such as load and fuel blends. Brake-specific fuel consumption (BSFC), brake thermal efficiency (BTE), and emissions of carbon monoxide (CO), hydrocarbons (HC), and nitrogen oxides (NOx) were examined about these parameters using Taguchi’s L16 orthogonal array and ANOVA via Minitab 18. The results show that 80% engine load and a 15% blend for both ethanol and methanol provide the best engine performance, greatly lowering BSFC and raising BTE. Notably, 20% engine load and 15% blend result in the lowest CO emissions, whilst 20% load and 0% blend result in the lowest NOx emissions. Also, 20% load and 15% blend result in the lowest HC emissions. This study highlights the potential of alternative fuel blends to improve engine efficiency and reduce hazardous emissions.

Keywords

Gasoline / Methanol / Ethanol / Taguchi / Optimization

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Firi Ziyad, Sultan Aman, Habtamu Alemayehu, Adamu Hailu. Optimizing SI Engine Performance and Emissions with Gasoline-Ethanol and Gasoline-Methanol Blends. Clean Energy Sustain., 2026, 4(1): 10003 DOI:10.70322/ces.2026.10003

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Statement of the Use of Generative AI and AI-Assisted Technologies in the Writing Process

The authors declare that Generative AI tools as Grok and ChatGPT were used for helping the translation of the manuscript and the optimization of syntax from the original text.

Author Contributions

F.Z.: Conceptualization, Methodology, S.A.: First draft, Visualization, Experimental work, H.A.: Editing, A.H.: Editing.

Ethics Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data used for the current study are available from the correspondent author upon reasonable request.

Funding

The authors declare no funding for this research.

Declaration of Competing Interest

The authors declare that they have no competing interest.

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