TY - JOUR
T1 - Waste tire oil in quaternary fuel blends
T2 - Optimizing performance and emissions in a light-duty diesel engine using response surface methodology
AU - Chow, Chee Choy
AU - Anuar, Muhammad Arif
AU - Chiong, Meng Choung
AU - Wang, Xin
AU - Hung, Yew Mun
AU - Ooi, Jong Boon
N1 - Publisher Copyright:
© 2025 The Author(s)
PY - 2025/10
Y1 - 2025/10
N2 - Valorizing waste tire oil helps reduce landfill and carbon emissions. This study introduces an optimized quaternary blend of diesel, palm oil biodiesel (POB), diethyl ether (DEE), and waste tire oil (WTO) to enhance combustion and lower emissions in a light-duty diesel engine. The inclusion of WTO and DEE offers both opportunities and challenges in achieving a balanced formulation. Response surface methodology (RSM) with a central composite design (CCD) was employed to investigate and optimize the effects of three key input variables, DEE volume fraction, WTO volume fraction, and engine load, on brake specific fuel consumption (BSFC), and emissions of carbon monoxide (CO), nitrogen oxides (NOx), and particulate matter (PM). The experimental results revealed that increasing engine load improved combustion efficiency and reduced CO and PM emissions. However, excessive WTO increased BSFC and pollutant emissions due to its inferior combustion characteristics. DEE showed a non-linear influence, reducing BSFC and CO at low concentrations but raising NOx and PM at higher levels. The optimized blend, 2.091 vol% DEE, 5.000 vol% WTO, at 36.367% load, achieved a 14% reduction in BSFC and a 22.7% reduction in CO compared to the baseline B20 blend, although NOx and PM slightly increased. This work offers key insights into the interactions of bio-derived, oxygenated, and waste-based fuel components. The effective use of RSM highlights its value in multi-variable optimization. Future research should explore engine durability, unregulated emissions, and techno-environmental viability to advance quaternary blends for sustainable diesel combustion.
AB - Valorizing waste tire oil helps reduce landfill and carbon emissions. This study introduces an optimized quaternary blend of diesel, palm oil biodiesel (POB), diethyl ether (DEE), and waste tire oil (WTO) to enhance combustion and lower emissions in a light-duty diesel engine. The inclusion of WTO and DEE offers both opportunities and challenges in achieving a balanced formulation. Response surface methodology (RSM) with a central composite design (CCD) was employed to investigate and optimize the effects of three key input variables, DEE volume fraction, WTO volume fraction, and engine load, on brake specific fuel consumption (BSFC), and emissions of carbon monoxide (CO), nitrogen oxides (NOx), and particulate matter (PM). The experimental results revealed that increasing engine load improved combustion efficiency and reduced CO and PM emissions. However, excessive WTO increased BSFC and pollutant emissions due to its inferior combustion characteristics. DEE showed a non-linear influence, reducing BSFC and CO at low concentrations but raising NOx and PM at higher levels. The optimized blend, 2.091 vol% DEE, 5.000 vol% WTO, at 36.367% load, achieved a 14% reduction in BSFC and a 22.7% reduction in CO compared to the baseline B20 blend, although NOx and PM slightly increased. This work offers key insights into the interactions of bio-derived, oxygenated, and waste-based fuel components. The effective use of RSM highlights its value in multi-variable optimization. Future research should explore engine durability, unregulated emissions, and techno-environmental viability to advance quaternary blends for sustainable diesel combustion.
KW - Diesel engine
KW - Emission reduction
KW - Performance optimization
KW - Quaternary blends
KW - Response surface methodology
KW - Waste tire oil
UR - https://www.scopus.com/pages/publications/105014458541
U2 - 10.1016/j.tsep.2025.104023
DO - 10.1016/j.tsep.2025.104023
M3 - Article
AN - SCOPUS:105014458541
SN - 2451-9049
VL - 66
JO - Thermal Science and Engineering Progress
JF - Thermal Science and Engineering Progress
M1 - 104023
ER -