Identification Approach to Alleviate Effects of Unmeasured Heat Gains for MIMO Building Thermal Systems

Jie Cai, Donghun Kim, James Braun

Research output: Contribution to conferencePaper

4 Scopus Citations


It is important to have practical methods for constructing a good mathematical model for a building's thermal system for energy audits, retrofit analysis and advanced building controls, e.g. model predictive control. Identification approaches based on semi-physical model structures are popular in building science for those purposes. However conventional gray box identification approaches applied to thermal networks would fail when significant unmeasured heat gains present in estimation data. Although this situation is very common and practical, there has been little research to tackle this issue in building science. This paper presents an overall identification approach to alleviate influences of unmeasured disturbances, and hence to obtain improved gray-box building models. The approach was applied to an existing open space building and the performance is demonstrated.
Original languageAmerican English
Number of pages6
StatePublished - 2017
Event2017 American Control Conference (ACC) - Seattle, Washington
Duration: 24 May 201726 May 2017


Conference2017 American Control Conference (ACC)
CitySeattle, Washington

NREL Publication Number

  • NREL/CP-5500-69120


  • buildings
  • heating systems
  • mathematical model
  • predictive models
  • temperature measurement
  • thermal resistance
  • thermostats


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