NDLI: Data-driven state-space modeling of indoor thermal sensation using occupant feedback

Content Provider	IEEE Xplore Digital Library
Author	Xiao Chen Qian Wang Srebric, J. Fadeyi, M.O.
Copyright Year	2014
Description	Author affiliation: Dept. of Mech. Eng., Univ. of Maryland, College Park, MD, USA (Srebric, J.) \|\| Berkeley Educ. Alliance for Res. in Singapore, Nanyang Technol. Univ., Singapore, Singapore (Fadeyi, M.O.) \|\| Dept. of Mech. & Nucl. Eng., Pennsylvania State Univ., University Park, PA, USA (Xiao Chen; Qian Wang)
Abstract	Current thermal comfort models (Fanger's model or adaptive thermal comfort model) predict thermal sensation in a steady state environment. There has been increasing interests in developing models of dynamic thermal sensation (DTS) due to transient environment conditions, e.g., sudden ambient temperature changes. In this paper, we develop a data-driven Hammerstein-Wiener (HW) model to characterize the dynamic relation between ambient temperature changes and the resulting occupant thermal sensation. In the proposed HW state-space model, thermal sensation is defined as the state variable, and the output measurement corresponds to occupant actual mean votes (AMV), which could be corrupted by sensor noise including psychological habituation or expectation and other non-thermal factors. We have conducted a chamber experiment and the collected thermal data and occupants' thermal sensation votes are used to estimate the model coefficients of the Hammerstein-Wiener model. We evaluate the performance of the proposed HW model and also compared it to other thermal sensation models in the literature.
Starting Page	1710
Ending Page	1715
File Size	348533
Page Count	6
File Format	PDF
ISBN	9781479932726
ISSN	07431619
e-ISBN	9781479932740
DOI	10.1109/ACC.2014.6859168
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Temperature sensors Atmospheric modeling Predictive models Temperature measurement Mathematical model Adaptation models Data models Modeling and simulation Building and facility automation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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