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

摘要

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.