Abstract
Thermal comfort, indoor air quality (IAQ), and energy use are closely related, even though these have different aspects with respect to building performance. We analyzed thermal comfort and IAQ using real-time multiple environmental data, which include indoor air temperature, relative humidity, carbon dioxide (CO2), and particulate matter (e.g., PM10 and PM2.5), as well as electricity use from an energy recovery ventilation (ERV) system for a childcare center. Thermal comfort frequency and time-series analyses were conducted in detail to thoroughly observe real-time thermal comfort and IAQ conditions with and without ERV operation, and to identify energy savings opportunities during occupied and unoccupied hours. The results show that the highest CO2 and PM10 concentrations were reduced by 51.4% and 29.5%, respectively, during the occupied hours when the ERV system was operating. However, it was also identified that comfort frequencies occurred during unoccupied hours and discomfort frequencies during occupied hours. By analyzing and communicating the three different types of real-time monitoring data, it is concluded that the ERV system should be controlled by considering not only IAQ (e.g., CO2 and PM2.5) but also thermal comfort and energy use to enhance indoor environmental quality and save energy based on real-time multiple monitoring data.
Highlights
System should be controlled by considering indoor air quality (IAQ) (e.g., CO2 and PM2.5 ) and thermal comfort and energy use to enhance indoor environmental quality and save energy based on real-time multiple monitoring data
We recommend that the energy recovery ventilation (ERV) system be controlled by considering IAQ (e.g., CO2 and PM2.5 ) and thermal comfort and energy use to further improve indoor environmental conditions and save energy based on real-time multiple monitoring data
Thermal comfort frequency and time-series analyses were conducted in detail to further observe real-time thermal comfort and IAQ conditions with and without
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Multiple environmental monitoring systems have expanded the possibility of integrative research on three different aspects for building performance: energy use, thermal comfort, and indoor air quality (IAQ). A cloud-based monitoring system can simultaneously allow several types of services [1,2] by collecting multiple environmental data using the Internet of Things (IoT), which can enhance the performance of energy use, thermal comfort, and IAQ through real-time data and analysis [3,4]. The development of wireless communication, data storage, small electronics, etc., will provide more and useful big data for improving building performance
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