Identification of aggregate building thermal dynamic model and unmeasured internal heat load from data

Conference · Sun Dec 01 00:00:00 EST 2019

DOI:https://doi.org/10.1109/CDC40024.2019.9030198· OSTI ID:1761666

Guo, Zhong ^[1]; Coffman, Austin ^[1]; Munk, Jeffrey  ^[2]; Im, Piljae  ^[2]; Barooah, Prabir  ^[1]

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1. University of Florida
2. ORNL

This paper is on the problem of simultaneously identifying the parameters of an aggregate thermal dynamic model of a multi-zone building and unknown disturbances from input-output data. An aggregate model is a single-zone equivalent of a multi-zone building, and is useful for many purposes, including model based control of large heating, ventilation and air conditioning (HVAC) equipment that delivers thermal energy to the entire building. A key challenge in identification is the presence of unknown disturbance since it is not measurable but non-negligible.We first present a principled method to aggregate a multizone building model into a single zone model. We then provide a method to identify thermal parameters and the unknown disturbance for this aggregate (single-zone) model. Finally, we test our proposed identification algorithm to data generated from a virtual building. A key insight provided by the aggregation method allows us to recognize under what conditions the estimation of the disturbance signal will be necessarily poor and uncertain.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1761666
• Resource Relation: Conference: 2019 IEEE Conference on Decision and Control (IEEE CDC) - Nice, , France - 12/11/2019 2:00:00 PM-12/13/2019 2:00:00 PM
• Country of Publication: United States
• Language: English