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Optimization of Injection Characteristics in a Large Marine Diesel Engine Using Evolutionary Algorithms

机译：使用进化算法优化大型船用柴油机注射特性

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摘要

The reduction of pollutant emissions of marine diesel engines can be achieved by employing multiple injection strategies, similar to the ones used in automotive engines. In the present work, the options for advanced injection strategies, in terms of pilot injections, are explored for a large two-stroke marine diesel engine operating at full load, by utilizing Computational Fluid Dynamics simulations coupled with an Evolutionary Algorithm. The goals of the present Multi-Objective constrained optimization are the minimization of nitrogen oxides (NO_x) emissions and engine-specific fuel consumption. The constraint, imposed by structural limitations of the engine, is the maximum cylinder pressure. The design variables include parameters controlling the pilot and main injections, and the injected total mass. The problem is handled as a Multi-Objective Optimization Problem, and the final set of elite solutions is identified based on the Pareto dominance. The methodology yields two families of solutions, corresponding to early and late pilot injection, providing significant improvement, both in terms of NO_x emissions and engine efficiency. The elite solutions are analyzed and interpreted by detailed processing of the simulation results.
机译：通过采用多种注射策略，可以实现船用柴油发动机的污染物排放的减少，类似于汽车发动机中使用的注射策略。在目前的工作中，通过利用与进化算法耦合的计算流体动力学模拟，探索了先进注射策略的选择，以便在飞行员注射方面探讨了在全负荷运行的大型两冲程船用柴油发动机。目前多目标约束优化的目标是氮氧化物（NO_X）排放和发动机特定燃料消耗的最小化。由发动机的结构限制施加的约束是最大汽缸压力。设计变量包括控制飞行员和主喷射的参数，以及注入的总质量。问题被处理为多目标优化问题，并根据帕累托优势确定最终的精英解决方案。该方法产生了两个溶液系列，对应于早期和晚期的先导注射，从NO_X排放和发动机效率方面提供了显着的改进。通过详细处理模拟结果，分析并解释精英解决方案。

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