Control-Oriented, Data-Driven Models of Thermal Dynamics

Ljuboslav Boskic and Igor Mezic
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Ljuboslav Boskic: Department of Mechanical Engineering, University of California Santa Barbara, Santa Barbara, CA 93106, USA
Igor Mezic: Department of Mechanical Engineering, University of California Santa Barbara, Santa Barbara, CA 93106, USA

Energies, 2021, vol. 14, issue 5, 1-14

Abstract: We investigate data-driven, simple-to-implement residential environmental models that can serve as the basis for energy saving algorithms in both retrofits and new designs of residential buildings. Despite the nonlinearity of the underlying dynamics, using Koopman operator theory framework in this study we show that a linear second order model embedding, that captures the physics that occur inside a single or multi zone space does well when compared with data simulated using EnergyPlus. This class of models has low complexity. We show that their parameters have physical significance for the large-scale dynamics of a building and are correlated to concepts such as the thermal mass. We investigate consequences of changing the thermal mass on the energy behavior of a building system and provide best practice design suggestions.

Keywords: energy efficiency; residential buildings; reduced order model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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