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A bilinear approach to model predictive control for thermal conditioning of adaptive buildings

: Oei, M.; Guenther, J.; Böhm, M.; Park, S.; Sawodny, O.

Volltext ()

IFAC-PapersOnLine 53 (2020), Nr.2, S.8383-8388
ISSN: 2405-8963
ISSN: 1474-6670
International Federation of Automatic Control (IFAC World Congress) <21, 2020, Online>
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IBP ()

The high resource and energy consumption of the building sector in both construction and operation is a growing problem worldwide. The largest contributor to operational energy consumption is thermal conditioning of the indoor space. In this context, inefficient control algorithms or parametrizations become a serious problem requiring thermal simulation models of buildings for system sizing and control parameter adjustments. However, the high complexity of the underlying dynamic models makes the design of model-based controllers difficult. Furthermore, typically used control schemes such as PI-control cannot incorporate all types of actuators that an adaptive building may provide. In this work, we derive a bilinear thermal model for adaptive ultra-lightweight buildings from the linearized model output of the Modelica library BuildingSystems by incorporating environmental and internal disturbances as well as a number of possible actuators for an adaptive building into the model as time-varying bilinear inputs. Based on the bilinear model, a model-predictive control algorithm is devised that incorporates disturbance forecasts. Exemplary simulations for a summer day show the efficacy of the control algorithm in employing indirect actuation.