A Stepwise Calibration Method For Residential Building Thermal Performance Model And Case Study

As an important means to assist building energy conservation,building energy simulation plays an important role in designing and optimization of building environment and control system,building energy-saving reform and green building evaluation.But due to the deviation of construction and design,deterioration of building thermal performance,change of building operation and randomness of occupant activities,the building energy simulation value is often far from the actual value of energy consumption.So it is necessary to calibrate the model and improve its accuracy.This paper presents a stepwise calibration method for residential building thermal performance model.The main contents include: preprocessing of heating data and stepwise calibration.The stepwise calibration is divided into building thermal parameters calibration and occupant behavior related parameters calibration.Firstly,preprocessing of heating data is carried out.The outliers in the heating data are removed and the vacancies are filled.The aim is to ensure that data quality meets the requirements of subsequent model calibration.Then,the building thermal performance model is calibrated step by step.For the building thermal parameters,Morris sensitivity analysis method is used to screen the building thermal parameters,ignoring some parameters which have little influence on building thermal load.The method is applied to residential buildings in Xi’an and Tianjin.The results show that the number of calibrated building thermal parameters after sensitivity analysis are reduced to 6 and 8,respectively.For the occupant behavior related parameters,a multitimetable calibration method for occupant behavior related parameters based on outdoor temperature clustering results is proposed.The method is applied to residential buildings in Xi’an and Tianjin,and the results show that the calibration accuracy has been greatly improved.The final calibration results show that the calibration error indicators MBE and CV(RMSE)of Xi’an cases are reduced to-2.91% and 15.90% after calibration,while the calibration error indicators MBE and CV(RMSE)of Tianjin cases are reduced to-3.17% and 18.46% after calibration,which meet the limits of model calibration accuracy in ASHRAE Guideline 14,IPMVP and FEMP standards.Finally,based on MATLAB and VB,a data preprocessing software and a model calibration software are developed,which greatly improve the efficiency of model calibration.