A Simulation And Experiment Study Of Gasoline Engine Waste Heat Recovery Based On Stirling Engine

With the increment of energy consumption and environment pollution, the internal combustion engine, which is the most important power source in our daily life, art as the most notable source of pollution. It becomes a crucial research topic for us to improve the ICE efficiency. This paper starts with investigating the ICE exhaust energy, and analyses the potential available energy as well as how to recovery the gasoline engine waste heat with Stirling cycle.The basic method and structure of Stirling engine was introduced in this paper, and the gasoline engine model was built in GT-Power. Based on this model, the gasoline engine waste energy and available energy was analyzed for further research. In the analysis result, the engine provided a significant high quality heat source above 950 K, 16% of the exhaust energy could be recovered by Stirling engine.According to the character of waste heat energy, the beta-type Stirling engine with rhombic driven structure was chosen in this paper. A program was built in Matlab based on modified adiabatic method, combined with the exhaust parameters. The Stirling engine output power, change of heater temperature and the influence of dead volume and heater temperature on Stirling engine performance and cylinder pressure are obtained.A test bench was established for Stirling engine usage on gasoline engine waste heat recovery for performance research as one of the major works. The heater surface temperature distribution, cylinder pressure, speed, output power were monitored and recorded on special working condition in the experiment. Comparer the experiment data and simulation data, a proposal was made for future research. Based on the experiment data, the heat exchange chamber was modified by parametric method. With the help of CFD software, the fluid of heat exchange chamber was analyzed based on the heater surface average temperature and standard division. The ANASYS workbench DesignXplorer was used for optimizing. The finial structure improved the average heater surface temperature about 50 K and the standard error was decreased to about 50%.