Analysis And Optimization Of Heat Storage And Release Process Of Solid Heat Accumulator

Solid heat accumulator is a device that uses electric energy as input and heat energy as output to form electric and thermal energy conversion,heat energy storage and heat energy release.It plays an important role in replacing traditional coal-fired heating boilers and balancing power grids.Compared with other heat storage devices,solid heat accumulator devices have the characteristics of high heat storage temperature and large heat storage capacity,so they are vigorously promoted in the country to promote clean heat supply and reduce environmental pollution.However,due to the short development time and the influence of other related factors,the theoretical research on solid heat accumulator in China is scarce at present,which leads to many problems in operation efficiency,service life and economy.Based on the numerical analysis method,the heat transfer characteristics of heat storage process and heat release process are studied in this paper.The method and model of regenerator structure optimization and power distribution optimization are put forward,which provides an effective basis for regenerator structure design and power distribution design of solid heat accumulator.The high-rate solid heat accumulator and predictive intelligent control heating system are innovatively proposed,and the effectiveness is verified by practical engineering application.The main work contents include:(1)Aiming at the heat storage and release process of solid heat accumulator,the analysis method and mathematical model are built respectively.Based on ANSYS platform,the heat storage process is numerically analyzed by using unfixed thermophysical parameters.Based on Fluent software,the fluid-structure coupling analysis method with unfixed physical parameters is used to numerically analyze the heat release process.An experimental platform is built to verify the correctness of the analysis method of heat storage and release process,and the corresponding error analysis is carried out.(2)Aiming at the problem of improving the operation efficiency of the solid heat accumulator,the methods of regenerator structure optimization and power distribution optimization are proposed respectively,and the regenerator hole structure and the corresponding regenerative power are optimized.Considering the application form of clean thermoelectric and traditional thermoelectric configuration heat storage system,aiming at the application and popularization of a large number of wind and photoelectric and the demand of improving the absorption of wind and photoelectric,a high-rate Solid heat accumulator structure with a large ratio of heat storage power value to heat storage capacity value is proposed.Aiming at the regenerator structure,the heat storage rate is optimized on the premise of ensuring the heat capacity.(3)Using the heat release process analysis method as a research tool,combined with the heat release experiment,the coupling field analysis of the two stages of the heat release process is carried out,and the coupling field action law and process heat transfer characteristics of the two stages of the heat release process are obtained,and the structure of the regenerator is optimized.The influence of the heat release process.(4)Aiming at the problems of service life and economy of solid heat accumulator,according to the premise parameters such as outdoor temperature,indoor set temperature and building area,considering the forecast weather information,combined with historical temperature data,local heating period heat load curve and supply and return water temperature data of the heating system,a predictive intelligent control heating system based on solid heat accumulator is proposed,and the performance evaluation model and economic effect evaluation model of the predictive intelligent control heating system are established.(5)Through the operation data of the actual project,the heat capacity rate,heat storage efficiency and other parameters of the high-rate solid heat accumulator under the condition of high heat storage rate are analyzed;Based on the application project of predictive intelligent control heating system,the system performance and economic effect are evaluated.