Optimization of Sampling Positions for Measuring Ventilation Rates in Naturally Ventilated Buildings Using Tracer Gas

Sensors

Xiong Shen¹  Chao Zong¹ 

[1] id="af1-sensors-12-11966">Department of Engineering, Faculty Sciences and Technology, University of Aarhus, Blichers Allé 20, Tjele 8830, Denma

关键词: response surface methodology;    optimal design;    desirability;    sampling positions;    tracer gas;   

DOI  :  10.3390/s120911966

来源: mdpi

【 摘 要 】

Finding out the optimal sampling positions for measurement of ventilation rates in a naturally ventilated building using tracer gas is a challenge. Affected by the wind and the opening status, the representative positions inside the building may change dynamically at any time. An optimization procedure using the Response Surface Methodology (RSM) was conducted. In this method, the concentration field inside the building was estimated by a three-order RSM polynomial model. The experimental sampling positions to develop the model were chosen from the cross-section area of a pitched-roof building. The Optimal Design method which can decrease the bias of the model was adopted to select these sampling positions. Experiments with a scale model building were conducted in a wind tunnel to achieve observed values of those positions. Finally, the models in different cases of opening states and wind conditions were established and the optimum sampling position was obtained with a desirability level up to 92% inside the model building. The optimization was further confirmed by another round of experiments.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.