Indoor air-quality control by a fuzzy-reasoning machine in naturally ventilated buildings - AI. Dounis, M. Bruant, G. Guarracino, P. Michel, M. Santamouris
@article{Dounis1996,
author = {Dounis, AI and Bruant, M and Guarracino, G and Michel, P and Santamouris, M.},
file = {::},
journal = {Applied energy},
number = {1},
pages = {11--28},
publisher = {Elsevier},
title = {{Indoor air-quality control by a fuzzy-reasoning machine in naturally ventilated buildings}},
url = {http://linkinghub.elsevier.com/retrieve/pii/030626199500050X},
volume = {54},
year = {1996}
}
Key Points
- Used TRNSYS for thermal modelling, so surveys
- Controlled and sensed window "openness"
- Mean error was stated as 0.29C(std ± 0.38) with errors up to 1.50C found
Fuzzy reasoning controllers applied to indoor air quality control.
PIR(on|off) controllers are not good with dealign with the erratic outside environment. A window was actuated using a fuzzy logic controller, and the solution to an air quality equation determined the set for the controller. Temperature was used in the equation and modelled using TRNSYS.
Internal air flow was determined by a linear regression based upon relative air pressures.
The window "openness" was used in the equation also, and with regards to thermal modelling error, the mean error was stated as 0.29C(std ± 0.38) with errors up to 1.50C found.