Prediction of heat energy from the naturally aspirated internal combustion engine exhaust gas using artificial neural network

Abstract

The waste heat from exhaust gases produce a significant amount of heat energy, which has usually been implemented for combined power and heating applications. This paper describes the heat energy from a naturally aspirated internal combustion engine in a sedan car. From the exhaust, which heat energy can be produced, is presented and suggested that heat energy could significantly enhance the efficiency performance by recovering the energy. This concept is thermodynamically feasible and depending on the load applied to the engine. Based on the results above, it was found that the waste heat energy was up to 23 kW. Hence, to harvest this exhaust waste heat energy is a worthy effort and the artificial neural network (ANN) prediction model is developed to give reasonably good agreement with the measured data.