TY - JOUR
T1 - Parametric modeling and optimization of the intake and exhaust phases of a hydrogen Wankel rotary engine using parallel computing optimization platform
AU - Wang, Huaiyu
AU - Ji, Changwei
AU - Shi, Cheng
AU - Yang, Jinxin
AU - Ge, Yunshan
AU - Wang, Shuofeng
AU - Chang, Ke
AU - Meng, Hao
AU - Wang, Xin
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/9/15
Y1 - 2022/9/15
N2 - Focusing on performance and emissions optimization, a novel parallel computing optimization platform was implemented to optimize the intake and exhaust phases of a hydrogen Wankel rotary engine (WRE). An improved multi-objective particle swarm algorithm implemented with the Sobol sequence was introduced in this study, which makes it superior in global search. A one-dimensional model integrating the leakage models was built and validated under various excess air ratios. The parametric control variables of the intake and exhaust phases were defined as rise stage, main stage, and decline stage. The indicated mean effective pressure (IMEP), indicated specific fuel consumption (ISFC), and nitrogen oxide (NOx) were used as evaluation objectives. The optimization results showed that there was a quadratic relationship between ISFC and IMEP, and the ISFC decreased with increasing IMEP. The relationship between NOx and IMEP was closer to linear, and the NOx increased with the increase of IMEP. The timing of intake port full closing (IPFC) contributed the most influence to IMEP and NOx, and a delayed IPFC resulted in a lower IMEP. The timing of exhaust port start opening (EPSO) significantly affected the ISFC, and an earlier EPSO resulted in a higher ISFC. In the optimal case, the IMEP was increased by 2.0%, ISFC was reduced by 1.1%, and NOx was only increased by 0.1%. It is a prospective approach to further improve performance and emissions simultaneously using parallel computing optimization platform.
AB - Focusing on performance and emissions optimization, a novel parallel computing optimization platform was implemented to optimize the intake and exhaust phases of a hydrogen Wankel rotary engine (WRE). An improved multi-objective particle swarm algorithm implemented with the Sobol sequence was introduced in this study, which makes it superior in global search. A one-dimensional model integrating the leakage models was built and validated under various excess air ratios. The parametric control variables of the intake and exhaust phases were defined as rise stage, main stage, and decline stage. The indicated mean effective pressure (IMEP), indicated specific fuel consumption (ISFC), and nitrogen oxide (NOx) were used as evaluation objectives. The optimization results showed that there was a quadratic relationship between ISFC and IMEP, and the ISFC decreased with increasing IMEP. The relationship between NOx and IMEP was closer to linear, and the NOx increased with the increase of IMEP. The timing of intake port full closing (IPFC) contributed the most influence to IMEP and NOx, and a delayed IPFC resulted in a lower IMEP. The timing of exhaust port start opening (EPSO) significantly affected the ISFC, and an earlier EPSO resulted in a higher ISFC. In the optimal case, the IMEP was increased by 2.0%, ISFC was reduced by 1.1%, and NOx was only increased by 0.1%. It is a prospective approach to further improve performance and emissions simultaneously using parallel computing optimization platform.
KW - Hydrogen Wankel rotary engines
KW - Multi-objective particle swarm optimization
KW - Parallel computing optimization platform
KW - Port phases parametric modeling method
UR - http://www.scopus.com/inward/record.url?scp=85130400338&partnerID=8YFLogxK
U2 - 10.1016/j.fuel.2022.124381
DO - 10.1016/j.fuel.2022.124381
M3 - Article
AN - SCOPUS:85130400338
SN - 0016-2361
VL - 324
JO - Fuel
JF - Fuel
M1 - 124381
ER -