基于智能传感器的通风示范建筑室内空气质量研究

IF 1.1 4区工程技术 Q3 CONSTRUCTION & BUILDING TECHNOLOGY International Journal of Ventilation Pub Date : 2020-07-20 DOI:10.1080/14733315.2020.1786974

Loubna Qabbal, Z. Younsi, H. Naji

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引用次数: 1

摘要

摘要:本研究利用智能传感器对某示范建筑的室内空气质量进行测量和感知。目标分析对象包括以下主要空气污染物:CO2、VOCs、甲醛、苯、CO、PM2.5，以及空气温度、相对湿度等舒适参数。这些都是在三次战役中记录的。结果表明，在第一次占领期间，二氧化碳水平较高，而其他空气污染物的测量值较低。此外，还发现通风系统仅能根据CO2浓度对气流进行调节控制。然而，这却让居住者感到不安。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Indoor air quality investigation in a ventilated demonstrator building via a smart sensor

Abstract This study deals with the indoor air quality (IAQ) measured and perceived in a demonstration building via a smart sensor. The analysis subject targeted includes the following main air pollutants, viz., CO2, VOCs, formaldehyde, benzene, CO, PM2.5, and comfort parameters such as air temperature, and relative humidity. These were recorded during three campaigns. It turned out that the CO2 level was higher during the first occupation period, while measurements of other air pollutants were low. Besides, it turned out that the ventilation system could regulate control the airflow based on the CO2 concentrations only. However, this was upset occupants comfort.

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来源期刊

International Journal of Ventilation CONSTRUCTION & BUILDING TECHNOLOGY-ENERGY & FUELS

CiteScore

3.50

自引率

6.70%

发文量

审稿时长

>12 weeks

期刊介绍： This is a peer reviewed journal aimed at providing the latest information on research and application. Topics include: • New ideas concerned with the development or application of ventilation; • Validated case studies demonstrating the performance of ventilation strategies; • Information on needs and solutions for specific building types including: offices, dwellings, schools, hospitals, parking garages, urban buildings and recreational buildings etc; • Developments in numerical methods; • Measurement techniques; • Related issues in which the impact of ventilation plays an important role (e.g. the interaction of ventilation with air quality, health and comfort); • Energy issues related to ventilation (e.g. low energy systems, ventilation heating and cooling loss); • Driving forces (weather data, fan performance etc).