A Comparison of Cooling Energy Use of Residential Buildings According to Air Conditioner On/Off Behavior Using Co-Simulation

4th Asia Conference of International Building Performance Simulation Association

土木建筑工程

Mun, S.H.^1 ; Kwak, Y.H.^2 ; Kwak, I.K.^1 ; Huh, J.H.^1

Department of Architectural Engineering, University of Seoul, Republic of Korea, Seoul, Korea, Republic of^1

School of Architecture, Kyonggi University, Gyeonggi-do, Korea, Republic of^2

关键词: Behavior model;    Behavior studies;    Data analysis tool;    Energy analysis;    Prediction algorithms;    Random forest algorithm;    Residential building;    State prediction;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/238/1/012015/pdf
DOI  :  10.1088/1755-1315/238/1/012015

学科分类：土木及结构工程学

来源: IOP

【 摘 要 】

This study quantitatively analyzed the impact of resident AC (Air Conditioner) use behaviors on the cooling energy use of residential buildings. Behavior models extracted from different households were applied to a building of identical performance to compare cooling energy use according to behaviors. The behavior model used in this study is an AC on/off state prediction model using random forest algorithm; three models extracted from respective households were used. To apply the AC on/off state predicted through random forest, BCVTB was utilized for a co-simulation of a data analysis tool(R) and an energy analysis tool (EnergyPlus). The results showed that despite the identical physical and system performance of the building, the cooling energy use differed by as much as 2.5 times at set temperature 24?C. This study confirmed the possibility of integrating various prediction algorithms with energy analysis tools in future studies and quantitatively reaffirmed the need for behavior studies in the cooling energy use analysis for residential buildings.