Data-Driven Identification of a Thermal Network in Multi-Zone Building

Harish Doddi, Saurav Talukdar, Deepjyoti Deka, murti v salapaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

System identification of smart buildings is necessary for their optimal control and application in demand response. The thermal response of a building around an operating point can be modeled using a network of interconnected resistors with capacitors at each node/zone called RC network. The development of the RC network involves two phases: obtaining the network topology, and estimating thermal resistances and capacitance's. In this article, we present a provable method to reconstruct the interaction topology of thermal zones of a building solely from temperature measurements. We demonstrate that our learning algorithm accurately reconstructs the interaction topology for a 5 zone office building in EnergyPlus with real-world conditions. We show that our learning algorithm is able to recover the network structure in scenarios where prior research prove insufficient.

Original languageEnglish (US)
Title of host publication2018 IEEE Conference on Decision and Control, CDC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7302-7307
Number of pages6
ISBN (Electronic)9781538613955
DOIs
StatePublished - Jan 18 2019
Event57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States
Duration: Dec 17 2018Dec 19 2018

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2018-December
ISSN (Print)0743-1546

Conference

Conference57th IEEE Conference on Decision and Control, CDC 2018
CountryUnited States
CityMiami
Period12/17/1812/19/18

Fingerprint

Data-driven
Identification (control systems)
Topology
Learning algorithms
Learning Algorithm
Intelligent buildings
Thermal Resistance
Office buildings
Temperature Measurement
Capacitance
Capacitor
System Identification
Interaction
Heat resistance
Network Structure
Network Topology
Temperature measurement
Resistors
Optimal Control
Capacitors

Cite this

Doddi, H., Talukdar, S., Deka, D., & salapaka, M. V. (2019). Data-Driven Identification of a Thermal Network in Multi-Zone Building. In 2018 IEEE Conference on Decision and Control, CDC 2018 (pp. 7302-7307). [8619376] (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2018.8619376

Data-Driven Identification of a Thermal Network in Multi-Zone Building. / Doddi, Harish; Talukdar, Saurav; Deka, Deepjyoti; salapaka, murti v.

2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 7302-7307 8619376 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Doddi, H, Talukdar, S, Deka, D & salapaka, MV 2019, Data-Driven Identification of a Thermal Network in Multi-Zone Building. in 2018 IEEE Conference on Decision and Control, CDC 2018., 8619376, Proceedings of the IEEE Conference on Decision and Control, vol. 2018-December, Institute of Electrical and Electronics Engineers Inc., pp. 7302-7307, 57th IEEE Conference on Decision and Control, CDC 2018, Miami, United States, 12/17/18. https://doi.org/10.1109/CDC.2018.8619376
Doddi H, Talukdar S, Deka D, salapaka MV. Data-Driven Identification of a Thermal Network in Multi-Zone Building. In 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 7302-7307. 8619376. (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2018.8619376
Doddi, Harish ; Talukdar, Saurav ; Deka, Deepjyoti ; salapaka, murti v. / Data-Driven Identification of a Thermal Network in Multi-Zone Building. 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 7302-7307 (Proceedings of the IEEE Conference on Decision and Control).
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