Validation of Unsteady CFD considering Thermal Load Fluctuation in Office Room

4th Asia Conference of International Building Performance Simulation Association

土木建筑工程

Fukada, K.^1 ; Miyata, M.^2

SHINRYO CORPORATION, Ibaraki, Japan^1

National Institute for Land and Infrastructure Management, Ibaraki, Japan^2

关键词: Actual measurements;    Capital investment;    Conditioning equipment;    Load fluctuations;    Outdoor environment;    Prediction accuracy;    Thermal environment;    Wall surface temperature;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/238/1/012033/pdf
DOI  :  10.1088/1755-1315/238/1/012033

学科分类：土木及结构工程学

来源: IOP

【 摘 要 】

In the design stage of air-conditioning equipment, by predicting the annual air-conditioning energy and heat load with high accuracy and by comparing multiple designed air-conditioning systems, it is possible to select optimal equipment and reduce capital investment. However, occasionally, it is difficult to predict energy consumption by means of energy simulation (ES) assuming that the thermal environment of the room is uniform, because of various reasons such as the influence of the uneven distribution of the pieces of equipment that act as heat loads, and mixing loss due to the air-conditioning system. In addition, when evaluating an air-conditioning system considering human comfort in a room, it is necessary to calculate a comfort index such as the Predict Mean Vote (PMV). In that case, it is important to predict the distribution of the thermal environment such as the bias in wall surface temperature. Therefore, attempts have been made to combine Computational Fluid Dynamics (CFD) with energy simulation for predicting the distribution of the thermal environment. However, in a few cases, measurements are made considering thermal load fluctuations in actual outdoor environments, and validation of CFD analysis is performed. Therefore, in this study, in a laboratory simulating an office, considering the effect of actual solar radiation, we measured the performance by changing the air-conditioning system of the perimeter zone and analysed the behaviour of thermal load in the room. Subsequently, by comparing the actual measurement results with the results of unsteady CFD analysis, the prediction accuracy of indoor temperature distribution and air-conditioning heat quantity was validated. As a result, it was clarified that the prediction accuracy of indoor temperature distribution is affected by how the airflow that was directed out of the air conditioner in the perimeter section collides with the window shade.