Journal
BUILDING AND ENVIRONMENT
Volume 144, Issue -, Pages 365-385Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.buildenv.2018.08.046
Keywords
Real-time big data; Monitoring and diagnostics; Excessive pollutant; Dew condensation; Automatic control; HVAC system
Funding
- National Research Foundation of Korea grant - Korean government (MSIP
- Ministry of Science, ICT & Future Planning) [NRF-2018R1C1B4A02022690]
- Technology Advancement Research Program (TARP) - Ministry of Land, Infrastructure and Transport of Korean government [18CTAP-C1117226-03]
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For indoor environmental quality (IEQ), previous studies only focused on one-sided aspect (e.g. monitoring, diagnostic, or intervention), and have not fully considered excessive pollutants and dew condensation in meeting rooms. Based on a real-time sensor network, this study newly implemented a three-phase cyclic process (i.e. monitoring-diagnostic-intervention process), with which a novel real-time method for HVAC system operation was developed to improve IEQ in meeting rooms. In particular, this study conducted two kinds of analyses and controls: (i) basic analysis and control for excessive pollutants by utilizing temperature and CO2 concentration; and (ii) advanced analysis and control for dew condensation on the diffuser of HVAC system by utilizing temperature, humidity, and CO2 concentration. The main findings were summarized as follows. For the basic analysis, the CO2 concentration was estimated to exceed 1000 ppm at 14.8% and 3L7% in two meeting rooms. To avoid it, a real-time basic control strategy was developed: if the CO2 concentration would exceed 1000 ppm, the ventilation volume of the outdoor air could increase in real time. For the advanced analysis, dew condensation on the diffuser was estimated to happen at 40.7% and 82.6% in two meeting rooms. To avoid it, a realtime advanced control strategy was developed: if the estimated supply air temperature would be lower than the calculated dew-point temperature, the supply-air temperature and ventilation volume of HVAC system could increase. The novel real-time method can be easily applied to HVAC system operation in existing buildings where events are hard to be predicted and recognized.
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