Mobile HVAC System Evaporator Optimization and Cooling Capacity Estimation by Means of Inverse Problem Solution

This paper focuses on two very important applications of the inverse heat transfer approach to identification of thermal boundary parameters of evaporators for Mobile Heating, Ventilating, and Air-Conditioning (HVAC) systems. The first application is the design optimization of the evaporator in the HVAC system. Because the identified heat flux is a function of the evaporator being investigated, it is possible to solve a number of external inverse heat transfer problems to find an interconnection between size of evaporator, air-device heat transfer, and evaporator outer surface temperature. In the course of designing an HVAC system this interconnection enables us to make a preliminary inverse selection of evaporator size satisfying evaporator heat transfer and/or cooling capacity requirements. This cooling capacity of the evaporator is the second application under discussion. The stochastic method of Adaptive Iterative Filter has been utilized here for solving all kinds of surfacing inverse heat transfer problems.