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A thermal-electrical analogy model of a four-floor building with occupancy estimation for heating system control

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A thermal-electrical analogy model of a four-floor building with occupancy estimation for heating system control. / Tate, Oliver; Cheneler, David; Taylor, C. James.
In: IFAC-PapersOnLine, Vol. 52, No. 11, 29.10.2019, p. 91-96.

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@article{7c8209a300c7443d80eb45e10b222cad,
title = "A thermal-electrical analogy model of a four-floor building with occupancy estimation for heating system control",
abstract = "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.",
keywords = "thermal modelling, buildings occupancy, micro-climate, state space model",
author = "Oliver Tate and David Cheneler and Taylor, {C. James}",
year = "2019",
month = oct,
day = "29",
doi = "10.1016/j.ifacol.2019.09.123",
language = "English",
volume = "52",
pages = "91--96",
journal = "IFAC-PapersOnLine",
issn = "2405-8963",
publisher = "IFAC Secretariat",
number = "11",
note = "5th IFAC Conference on Intelligent Control and Automation Sciences (ICONS) ; Conference date: 21-08-2019 Through 23-08-2019",

}

RIS

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 -