| Title |
Performance Evaluation of a Dynamic Inverse Model with EnergyPlus Model Simulation for Building Cooling Loads |
| Authors |
이경호(Kyoung-ho Lee) ; James E. Braun(James E. Braun) |
| Keywords |
동적 건물모델 ; 인버스 모델 ; 냉방부하 ; EnergyPlus 프로그램 Dynamic building model ; Inverse model ; Cooling load ; EnergyPlus program |
| Abstract |
This paper describes the application of an inverse building model to a cali-brated forward building model using EnergyPlus program. Typically, inverse models are trained using measured data. However, in this study, an inverse building model was trained using data generated by an EnergyPlus model for an actual office building. The EnergyPlus model was calibrated using field data for the building. A training data set for a month of July was generated from the EnergyPlus model to train the inverse model. Cooling load pre-diction of the trained inverse model was tested using another data set from the EnergyPlus model for a month of August. Predicted cooling loads showed good agreement with cooling loads from the EnergyPlus model with root-mean square errors of 4.11%. In addition, different control strategies with dynamic cooling setpoint variation were simulated using the inverse model. Peak cooling loads and daily cooling loads were compared for the dynamic simulation. |