066-严寒及寒冷地区住宅建筑双污染源辨识研究.pdfVIP

严寒及寒冷地区住宅建筑室内双污染源辨 识方法研究 1 1 1 1 1 于水 ,张国娟 ，杨江辉 ,刘鹏飞 ,冯国会 （1.沈阳建筑大学市政与环境工程学院,辽宁 沈阳 110168） 摘要：严寒及寒冷地区冬季住宅建筑室内空气污染严重，从源头控制污染物的散发是治 理室内空气品质最有效的方式。本文通过理论分析、数值模拟和计算仿真的方法对室内存在 两个污染源的情况进行辨识方法研究。提出基于 Pearson 相关系数理论的污染源的辨识，探 究室内不同的进风速度对污染源辨识的影响。本研究设置四种不同的进风速度，进行辨识过 程分析，通过室内传感器 β来监测室内污染物浓度的非稳态变化。通过对四种工况下双污 染源的辨识结果可知，传感器 β辨识得分率达到最高所用时间随着室内进风速度的减少而 变短，辨识结果较好，辨识得分率均达到了 90%以上。本研究所采用的方法为控制室内污染 物提供理论依据。 关键词：双污染源辨识；Pearson 相关系数；传感器 β；辨识得分率 Research on the Indoor Multi-pollution Identification of Residential Buildings in the Cold and Severe Cold Areas 1 1 1 Yu Shui , Zhang Guojuan , Yu Zhitian , Liu Pengfei, Feng Guohui （1. Shenyang Jianzhu University School of Municipal and Environmental Engineering， Shenyang 110168，Liaoning ，China ） Abstract: in the Cold and Severe Cold Areas, residential buildings in the indoor air pollution is serious, from the source to control the emission of pollutants is the most effective way to control the indoor air quality. In this paper, through the theoretical analysis, numerical simulation and computational simulation methods to identify the existence of two indoor pollution sources. The Pearson correlation coefficient is proposed for the identification of pollution sources, and the influence of different inlet air velocity on the identification of pollution sources is investigated. Four different inlet air velocities are set up for simulation analysis. Indoor sensor β is used to monitor the indoor pollutant concentration Steady state changes. According to the identification results of double pollution source under four operating conditions, it can be seen that the time for sensor β to reach the highest score is shortened with the decrease of indoor air inlet velocity, and th