摘要
To overcome the shortcomings of the energyconsumption prediction models in the application during thedesign stage, a quick prediction model for energy consumptionis proposed based on the decoupling method. Taking typicalresidential and office buildings in hot summer and cold winterzones as research objects, the influence factors on buildingenergy consumption are classified into intrinsic factors andoperational factors on the basis of the heat transfer principle.Then, using the intrinsic factors as the fundamental variablesand operational factors as the modified variables, the quickprediction model for the buildings in typical cold and hot zonesis proposed based on the decoupling method and the accuracyof the proposed model is verified. The results show thatcompared to the simulation results of EnergyPlus, the relativeerror of the prediction model is less than 1.5% ; comparedwith the real operating data of the building, the relative erroris 13.14% in 2011 and 8.56% in 2012 due to the fact that thecoincidence factor becomes larger than the design value about16% in 2011 and 13% in 2012. The finding reveals that theproposed model has the advantages of rapid calculationcompared with EnergyPlus and Design Builder when predictingbuilding energy consumption in building designs. The energyconsumption prediction model is of great practical value inoptimal operation and building designs.
To overcome the shortcomings of the energy consumption prediction models in the application during the design stage, a quick prediction model for energy consumption is proposed based on the decoupling method. Taking typical residential and office buildings in hot summer and cold winter zones as research objects, the influence factors on building energy consumption are classified into intrinsic factors and operational factors on the basis of the heat transfer principle.Then, using the intrinsic factors as the fundamental variables and operational factors as the modified variables, the quick prediction model for the buildings in typical cold and hot zones is proposed based on the decoupling method and the accuracy of the proposed model is verified. The results showthat compared to the simulation results of Energy Plus, the relative error of the prediction model is less than 1. 5%; compared with the real operating data of the building, the relative error is 13. 14% in 2011 and 8. 56% in 2012 due to the fact that the coincidence factor becomes larger than the design value about16% in 2011 and 13% in 2012. The finding reveals that the proposed model has the advantages of rapid calculation compared with Energy Plus and Design Builder when predicting building energy consumption in building designs. The energy consumption prediction model is of great practical value in optimal operation and building designs.
