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作 者:Junfeng Zhang Lanbin Liu Yameng Liu
机构地区:[1]University of Science and Technology Beijing,30 Xueyuan Road,Beijing,100083,China [2]Beijing Nuanliu Technology Co.,Ltd.,Beijing,100083,China
出 处:《Building Simulation》2023年第11期2145-2158,共14页建筑模拟(英文)
摘 要:The district heating system(DHS)consumes a lot of energy in winter,and its control accuracy needs to be improved urgently.To apply advanced process control(APC)in DHS,the thermal dynamic model of the existing buildings is essential.This paper uses the subspace method which is a data-driven approach for modelling the thermal dynamics of the building.The model’s performance is analyzed using the collected data,and the differences compared to the classical methods are also analyzed.The method reduces the RMSE by about 20%compared with the ARX model for the same complexity.Subsequently,the analysis of the training residuals indicates that the estimate of periodic intra-building disturbance can be obtained by minimizing the training residuals.By introducing the estimated disturbance function,the RMSE on the test set is further reduced by 26%.At the end of the article,a simple parameter extrapolation experiment is conducted,and the result shows that the parameters can be extrapolated to other buildings without large errors.
关 键 词:MODELLING district heating system STATE-SPACE ARX thermal dynamics
分 类 号:TU83[建筑科学—供热、供燃气、通风及空调工程]
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