Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Improving the accuracy of the measurements in building automation systems without increasing operational costs is an essential step if the overall comfort and energy efficiency of buildings are to be improved. Data reconciliation and gross error elimination have emerged as key techniques for reducing both random noise and gross errors on the outputs of sensors. This paper focuses on using actuator control signals and simulation based on computational fluid dynamics to achieve the level of redundancy that is necessary for simultaneous data reconciliation and gross error elimination to be applied air-conditioning systems. Copyright © 2005 IFAC.


Journal article


IFAC Proceedings Volumes (IFAC-PapersOnline)

Publication Date





101 - 106