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The Weight of Influence of Factors on Microtrigeneration Systems (mCCHP) Using Taguchi Methods

机译：Taguchi方法的因素对微三代系统（mCCHP）的影响权重

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Microtrigeneration systems are characterized by simultaneous generation of power, heat and cold for small applications (<50kW) and are designed for reducing GHG and other emissions decreases. The cooling generation by absorption or adsorptions from heat is the most sensible stage of mCCHP systems. The paper is based on the global mathematical model for a mCCHP system with thermal prime mover. The conceptual design of a mCCHP and was established the influence factors over the global efficiency of the system. The weight of influence factors was made using Taguchi methods and typified orthogonal array. The mathematic model (ANOVA) was used for weight of factor influence prediction, in order to global efficiency maximization. The simulation results showing signal and noise factors and these results are important for system design, subsystem selections, materials selections and optimal regime settings.
机译：微型三联产系统的特点是可同时为小型应用（<50kW）发电，供热和供冷，旨在减少温室气体排放和其他排放量减少。 mCCHP系统最明智的阶段是通过热量吸收或吸附产生冷却。本文基于带有热原动机的mCCHP系统的全局数学模型。 mCCHP的概念设计，并确定了影响系统整体效率的因素。影响因素的权重是使用田口方法和典型的正交数组确定的。为了使全局效率最大化，将数学模型（ANOVA）用于因素影响预测的权重。仿真结果显示了信号和噪声因素，这些结果对于系统设计，子系统选择，材料选择和最佳状态设置非常重要。

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