2024
DOI: 10.1016/j.energy.2024.130393
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Experimental investigation and artificial neural network-based modelling of thermal barrier engine performance and exhaust emissions for methanol-gasoline blends

Idris Cesur,
Fatih Uysal
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Cited by 5 publications
(2 citation statements)
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“…They also emphasized that the blended gasoline with methanol reduced NOx emissions by approximately 19%. 138 Hayri Yaman et al proposed the addition of 5% to 10% 1-pentanol as a cosolvent for diesel engines. This addition effectively improved the exergetic efficiency of the diesel engine to over 33%.…”
Section: Synthesis Methods Of E-fuelsmentioning
confidence: 99%
See 1 more Smart Citation
“…They also emphasized that the blended gasoline with methanol reduced NOx emissions by approximately 19%. 138 Hayri Yaman et al proposed the addition of 5% to 10% 1-pentanol as a cosolvent for diesel engines. This addition effectively improved the exergetic efficiency of the diesel engine to over 33%.…”
Section: Synthesis Methods Of E-fuelsmentioning
confidence: 99%
“…Idris Cesur et al used artificial neural networks (ANN) to predict that the use of a blended fuel consisting of methanol and gasoline can enhance engine performance by 3.7%. They also emphasized that the blended gasoline with methanol reduced NOx emissions by approximately 19% . Hayri Yaman et al proposed the addition of 5% to 10% 1-pentanol as a cosolvent for diesel engines.…”
Section: The Raw Materials Of E-fuelsmentioning
confidence: 99%