Multi-Objective Model Predictive Control Framework for Buildings

Krzysztof Arendt, Anders Clausen, Claudio Giovanni Mattera, Muhyiddine Jradi, Aslak Johansen, Christian Veje, Mikkel Baun Kjærgaard, Bo Nørregaard Jørgensen

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

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The aim of this paper is to present the implementation and performance of an MPC framework based on a multi-objective genetic algorithm. The framework optimizes building control by firstly identifying the Pareto frontier with respect to multiple objectives considered, and then selecting the final strategy based on the user-defined priorities for the respective objectives. Although the approach requires more computing resources than the more traditional constrained convex optimization, it is more flexible in terms of the optimization problem formulation. New objectives can be easily added, and the objective priorities altered during the operation of the system. This flexibility makes the framework attractive for global optimization of multiple systems, including systems based on on/o control. The framework is compatible with the Functional Mock-Up Interface and uses models exported to Functional Mock-Up Units. The framework performance is tested in a virtual experimental testbed using a building modeled in EnergyPlus.
TitelProceedings of building simulation 2019 : 16th IBPSA International conference and exhibition
RedaktørerV. Corrado, E. Fabrizio, A. Gasparella, F. Patuzzi
ForlagInternational Building Performance Simulation Association
ISBN (Trykt)9781775052012
StatusUdgivet - 2020
Begivenhed16th IBPSA International Conference and Exhibition Building Simulation - Rome, Italien
Varighed: 2. sep. 20194. sep. 2019


Konference16th IBPSA International Conference and Exhibition Building Simulation
NavnProceedings of the International Building Performance Simulation Association


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