Nuclear-Norm-Based Subspace Identification of Multi-Zone Building HVAC System

Bhagyashri Telsang, Jin Dong, Mohammed Olama, Teja Kuruganti, Seddik Djouadi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Smart buildings improve energy efficiency and provide ancillary services to the power grid. Such services are based on model-based mechanisms that require availability of accurate models of the different building loads such as heating, ventilation, and air conditioning (HVAC) systems. Although numerous efforts have been made in the area of constructing a thermal model for a building HVAC system, almost all models have shortcomings. In this paper, we employ the nuclear-norm-based subspace method to identify a locally accurate HVAC system model. We consider the more general case of a multi-zone building HVAC system, i.e., each zone has its own thermostat and can be set to a different temperature. The estimated HVAC system model can be used to predict the future indoor temperatures. This will assist power utility companies and building managers in estimating the upcoming load shape, especially the peak amount and duration.

Original languageEnglish
Title of host publicationProceedings - 2019 3rd International Conference on Smart Grid and Smart Cities, ICSGSC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages165-169
Number of pages5
ISBN (Electronic)9781728138480
DOIs
StatePublished - Jun 2019
Event3rd International Conference on Smart Grid and Smart Cities, ICSGSC 2019 - Berkeley, United States
Duration: Jun 25 2019Jun 28 2019

Publication series

NameProceedings - 2019 3rd International Conference on Smart Grid and Smart Cities, ICSGSC 2019

Conference

Conference3rd International Conference on Smart Grid and Smart Cities, ICSGSC 2019
Country/TerritoryUnited States
CityBerkeley
Period06/25/1906/28/19

Funding

This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). ACKNOWLEDGMENT This material is based upon work supported by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy.

Keywords

  • Smart buildings
  • alternating direction method of multipliers (ADMM)
  • multi-zone HVAC systems
  • multiple-input multiple-output (MIMO) systems
  • nuclear norm
  • state space model
  • subspace identification

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