赵欣颖, 高文志, 卫利锋, et al. Optimization of Rankine Cycle Waste Heat Recovery System for Gasoline Engines Based on Genetic Algorithms[J]. 2020, 41(1): 49-56.
赵欣颖, 高文志, 卫利锋, et al. Optimization of Rankine Cycle Waste Heat Recovery System for Gasoline Engines Based on Genetic Algorithms[J]. 2020, 41(1): 49-56. DOI: 10.13949/j.cnki.nrjgc.2020.01.007.
Optimization of Rankine Cycle Waste Heat Recovery System for Gasoline Engines Based on Genetic Algorithms
In order to utilize gasoline engine waste heat more efficiently
the waste heat recovery potential of a gasoline engine was studied. A model of gasoline engine-Rankine cycle waste heat recovery system based on evaporator and expander was established. By using the genetic algorithm and considering the output and adiabatic efficiency of the expander
the exhaust availability and evaporator efficiency
the optimum operating parameters of the system under four engine operating conditions were optimized with the output power of the expander and the total system efficiency as optimization objectives
the evaporation pressure and expander speed as optimization variables. The results show that the maximum exhaust utilization rate is higher than 46% in the whole engine speed range. The exhaust quality increases with the speed. Under different working conditions
there are the optimum expander speed and evaporation pressure. After optimization
the power under the four selected working conditions is increased by more than 6%