The effect of EGR and hydrogen addition to natural gas on performance and exhaust emissions in a diesel engine by AVL fire multi-domain simulation, GPR model, and multi-objective genetic algorithm

In this study, the effect of adding hydrogen to natural gas and EGR ratio was conducted on a diesel engine investigate performance exhaust gases by AVL Fire multi-domain simulation software. For investigation, mixture fuel replaced fuel. The percentage in blend changed from 0% 40%. compression converted 17:1 15:1. ratios were three steps 5%, 10%, 15%, with different speeds 1000 1800 RPM. Gaussian process regression (GPR) developed model emissions. optimal values HCNG extracted using multi-objective genetic algorithm (MOGA). results showed that increasing EGR, thermal efficiency, power, specific consumption decreased due prolongation combustion length while cumulative heat release increased but, its cylinder pressure is insignificant. Adding temperature and, consequently NOx. While amount CO HC decreased. GPR MOGA illustrated at speeds, optimum 6.35% 31%, respectively. • Effect engine. utilized as tool for modeling Using