Abstract
On-line ventilation control based on carbon dioxide (CO2) measurement and the dynamic CO2balance in indoor spaces has been validated using a dynamic algorithm for two existing buildings. Occupancy profiles estimated using the dynamic algorithm were compared with the true occupancy profiles and the occupancy profiles estimated using a steady-state algorithm based on the steady-state CO2balance. The dynamic algorithm estimates the changes of occupancy without significant delay. The steady-state algorithm is comparable only at a high air change rate and shows a considerable delay when the number of air changes per hour in a space is small. This phenomenon was investigated using computer simulation.
| Original language | English |
|---|---|
| Pages (from-to) | 377-391 |
| Number of pages | 15 |
| Journal | Indoor and Built Environment |
| Volume | 8 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 1 Jan 1999 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
Keywords
- CO detection 2
- Computer simulation
- Energy efficiency
- Occupancy detection
- Ventilation strategy
ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health
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