TY - JOUR
T1 - Improving combustion and emission characteristics of a biogas/biodiesel-powered dual-fuel diesel engine through trade-off analysis of operation parameters using response surface methodology
AU - Bora, Bhaskor J.
AU - Dai Tran, Thanh
AU - Prasad Shadangi, Krushna
AU - Sharma, Prabhakar
AU - Said, Zafar
AU - Kalita, Pankaj
AU - Buradi, Abdulrajak
AU - Nhanh Nguyen, Van
AU - Niyas, Hakeem
AU - Tuan Pham, Minh
AU - Thanh Nguyen Le, Chau
AU - Dung Tran, Viet
AU - Phuong Nguyen, Xuan
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/10
Y1 - 2022/10
N2 - The present study focused on using dual-fuel such as Mahua oil biodiesel and biogas in a diesel engine to analyze performance and emission by varying compression ratio (CR) and engine loads. Following the experimental step, the response surface approach was used to model-predict, and optimize. The variance analysis was used to create relationship functions between the independent control variables (engine loads and CR) and their dependent response variables (performance and emission indices). A robust model is indicated by a high coefficient of determination value for all outputs (0.8673 – 0.9917). The optimization yielded 15.25% brake thermal efficiency, 326 °C exhaust gas temperature, 2.85 kg/h biogas flow rate, 68.9% liquid fuel replacement, and 44 bar peak cylinder pressure. A trade-off study of engine performance vs. emission at optimal operating settings produced 4.45 vol% CO2, 39 ppm NOx, 90 ppm HC, and 90.17 ppm CO. The validation test in the lab revealed that all of the predicted output was within a 6% error range. This research indicated that dual-fuel might be an excellent choice for improving waste-to-energy prospects, performance, and emissions.
AB - The present study focused on using dual-fuel such as Mahua oil biodiesel and biogas in a diesel engine to analyze performance and emission by varying compression ratio (CR) and engine loads. Following the experimental step, the response surface approach was used to model-predict, and optimize. The variance analysis was used to create relationship functions between the independent control variables (engine loads and CR) and their dependent response variables (performance and emission indices). A robust model is indicated by a high coefficient of determination value for all outputs (0.8673 – 0.9917). The optimization yielded 15.25% brake thermal efficiency, 326 °C exhaust gas temperature, 2.85 kg/h biogas flow rate, 68.9% liquid fuel replacement, and 44 bar peak cylinder pressure. A trade-off study of engine performance vs. emission at optimal operating settings produced 4.45 vol% CO2, 39 ppm NOx, 90 ppm HC, and 90.17 ppm CO. The validation test in the lab revealed that all of the predicted output was within a 6% error range. This research indicated that dual-fuel might be an excellent choice for improving waste-to-energy prospects, performance, and emissions.
KW - Biogas
KW - Dual-fuel mode
KW - Mahua biodiesel
KW - Optimization
KW - Response surface methodology
UR - https://www.scopus.com/pages/publications/85132851811
UR - https://www.scopus.com/pages/publications/85132851811#tab=citedBy
U2 - 10.1016/j.seta.2022.102455
DO - 10.1016/j.seta.2022.102455
M3 - Article
AN - SCOPUS:85132851811
SN - 2213-1388
VL - 53
JO - Sustainable Energy Technologies and Assessments
JF - Sustainable Energy Technologies and Assessments
M1 - 102455
ER -
