Akademik Veri Yönetim Sistemi
Arabian Journal for Science and Engineering, 2024 (SCI-Expanded)
Researchers are focusing on the optimization of alternative fuel blends for ICEs and the recovery of waste heat energy through the use of TEGs to meet rising demand and reducing global warming. This study addresses the issue of selecting the optimal biodiesel blend and engine operating parameters through the application of MCDM methods, while evaluating engine performance, combustion, and emissions when waste heat is recovered. In particular, vegetable-based biodiesel was blended at five distinct volumetric ratios and assessed in a diesel engine under a series of conditions. The experiment was conducted with three injection timings, three engine speeds, and four engine loads. A holistic scientific decision-making model was developed to determine the optimal fuel and operating conditions, employing the CRITIC and MAIRCA methods. Of the 180 experimental scenarios, the optimal condition was identified as the use of B20 biodiesel at 1500 rpm, 25% engine load, and standard injection timing, which yielded an EE of 25.5. Compared to the diesel fuel, 20% and 18.75% reduction in CO and HC emissions, respectively, was observed, while a 3.34% and 4.07% increase in CO2 and NOx emissions, respectively, was noted. The SEC was recorded at 14,119 kJ/kWh and the SER at 63.7 kJ/kWh. Moreover, the use of B10 biodiesel at 1500 rpm, 75% engine load, and − 2 °C retarded injection timing was identified as the second-best alternative. This decision algorithm indicates that B20 biodiesel by using in a engine with TEG at lower engine loads has the potential to achieve high efficiency and low emissions.