Abstract
Prevailing low energy buildings attracts lots of attention in the world. Many studies have contributed in introducing higher thermal efficiency towards rooms with low energy heating, ventilation, and air-conditioning (HVAC) systems. However, current HVAC systems do not consider CO2 concentration change and thermal contribution towards human bodies in a room. This paper presents a novel method to predict thermal dynamics, including person count. Occupancy data are dynamically estimated by CO2 concentration and thermal contribution from the human bodies. The model is formulated as a resistor-capacitor circuit (RC circuit) in the Modelica modeling language. All parameters in a simulation are identified using actual building data during the winter season in Japan. Results are validated using measured information of actual building environment, and the test results concluded an improvement of absolute percentage error by 0.16 % over the conventional model. From the test results, it was concluded that the moving average filter of 20 minutes was an appropriate mean time to represent the time delay value.
Original language | English |
---|---|
Title of host publication | IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 3116-3121 |
Number of pages | 6 |
ISBN (Electronic) | 9781479917624 |
DOIs | |
Publication status | Published - 2016 Jan 25 |
Event | 41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015 - Yokohama, Japan Duration: 2015 Nov 9 → 2015 Nov 12 |
Other
Other | 41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015 |
---|---|
Country | Japan |
City | Yokohama |
Period | 15/11/9 → 15/11/12 |
Keywords
- Building simulation
- CO2 concentration
- Modelica
- Occupancy estimation
- Thermal modeling
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering