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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - A thermal-electrical analogy model of a four-floor building with occupancy estimation for heating system control
AU - Tate, Oliver
AU - Cheneler, David
AU - Taylor, C. James
PY - 2019/10/29
Y1 - 2019/10/29
N2 - The well-known electrical analogy for thermal modelling is based on the observation that Fourier's equation for one dimensional heat transfer takes the same form as Ohm's law. This provides a system for creating and resolving complex heat transfer problems using an established set of physically-based equations. In this article, such a model is developed and evaluated for a four-floor modern university building. The model is represented in state space form for optimisation and simulation purposes. The electrical analogy is chosen so that the model can be extended and used for future research into distributed, demand-side control of multiple buildings on the university network, requiring a fast computation time. The estimation of occupancy, representing a significant internal heat source, is also investigated. Here, wifi usage and return CO2 data are combined in novel manner to improve the model response.
AB - The well-known electrical analogy for thermal modelling is based on the observation that Fourier's equation for one dimensional heat transfer takes the same form as Ohm's law. This provides a system for creating and resolving complex heat transfer problems using an established set of physically-based equations. In this article, such a model is developed and evaluated for a four-floor modern university building. The model is represented in state space form for optimisation and simulation purposes. The electrical analogy is chosen so that the model can be extended and used for future research into distributed, demand-side control of multiple buildings on the university network, requiring a fast computation time. The estimation of occupancy, representing a significant internal heat source, is also investigated. Here, wifi usage and return CO2 data are combined in novel manner to improve the model response.
KW - thermal modelling
KW - buildings occupancy
KW - micro-climate
KW - state space model
U2 - 10.1016/j.ifacol.2019.09.123
DO - 10.1016/j.ifacol.2019.09.123
M3 - Journal article
VL - 52
SP - 91
EP - 96
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
SN - 2405-8963
IS - 11
T2 - 5th IFAC Conference on Intelligent Control and Automation Sciences (ICONS)
Y2 - 21 August 2019 through 23 August 2019
ER -