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Validation of a zero-dimensional model for prediction of NO_x and engine performance for electronically controlled marine two-stroke diesel engines

机译:用于预测电控船用二冲程柴油机NO_x和发动机性能的零维模型的验证

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The aim of this paper is to derive a methodology suitable for energy system analysis for predicting the performance and NO_x emissions of marine low speed diesel engines. The paper describes a zero-dimensional model, evaluating the engine performance by means of an energy balance and a two zone combustion model using ideal gas law equations over a complete crank cycle. The combustion process is divided into intervals, and the product composition and flame temperature are calculated in each interval. The NO_x emissions are predicted using the extended Zeldovich mechanism. The model is validated using experimental data from two MAN B&W engines; one case being data subject to engine parameter changes corresponding to simulating an electronically controlled engine; the second case providing data covering almost all model input and output parameters. The first case of validation suggests that the model can predict specific fuel oil consumption and NO_x emissions within the 95% confidence intervals given by the experimental measurements. The second validation confirms the capability of the model to match measured engine output parameters based on measured engine input parameters with a maximum 5% deviation.
机译:本文的目的是推导适用于能源系统分析的方法,以预测船用低速柴油机的性能和NO_x排放。本文描述了一个零维模型,通过一个能量平衡评估发动机性能,并使用一个理想的气体定律方程在整个曲柄循环中进行两区燃烧模型评估。将燃烧过程分为几个间隔,并在每个间隔中计算产品成分和火焰温度。使用扩展的Zeldovich机制预测NO_x排放。使用来自两个MAN B&W引擎的实验数据验证了该模型;一种情况是与模拟电子控制发动机相对应的发动机参数变化的数据;第二种情况提供的数据几乎涵盖了所有模型输入和输出参数。验证的第一种情况表明,该模型可以在实验测量值给出的95%置信区间内预测特定的燃油消耗量和NO_x排放量。第二次验证确认模型具有基于最大偏差为5%的实测发动机输入参数匹配实测发动机输出参数的能力。

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