Numerical Modeling and Multi-Objective Control of Air Pollutant Emissions from Natural Gas Internal Combustion Engines

Natural gas-fired internal combustion engines (ICEs), as an alternative to traditional fuel-fired ICEs, are a technological innovation to implement the “double reduction” policy by utilizing clean energy. The academic community is interested in the topic of controlling air pollutant emissions from natural gas internal combustion engines. In this paper, a three-dimensional model of internal combustion engine operation and a natural gas hydrodynamic model are constructed successively, and numerical simulation is carried out using fluent software. A non-dominated genetic algorithm is introduced to solve the air pollutant emission control problem of the internal combustion engine, and the Pareto optimal solution of pollutant emission is determined by the TOPSIS decision-making method. The error of the numerical simulation results in this paper is less than 5%, and the maximum transient temperature of the natural gas internal combustion engine is approximately 1940 K. The NO_x generation has a double hump-like distribution. In the case of Pareto’s optimal solution, the system efficiency of the new scheme is 56.82%, the carbon dioxide emission rate is 353.31kg/(Mwah), and the total annual cost is 6.45×10⁸¥, which is better than the original scheme, which verifies the effectiveness of the proposed method.