Publication

Configurations of model predictive control to exploit energy flexibility in building thermal loads

Conference Article

Conference

IEEE Conference on Decision and Control (CDC)

Edition

57th

Pages

3177-3182

Doc link

https://doi.org/10.1109/CDC.2018.8619452

File

Download the digital copy of the doc pdf document

Abstract

A model predictive control (MPC) framework is developed in the present study, with the final objective to improve the energy flexibility of building thermal loads through demand-side management. Three different configurations are tested and tuned, with the following objective functions: minimizing the delivered energy to the building, the electrical energy used by the HVAC system (heat pump) or the cost of this electricity use. To validate these MPC configurations, a Matlab-Trnsys co-simulator is also created, in order to run the MPC on a virtual plant composed of a detailed building model. The MPC strategy manages to run effectively on the chosen study case (a residential building with heat pump in Spain), and the differences between configurations are discussed.

Categories

control theory, optimal control.

Scientific reference

T. Péan, J. Salom and R. Costa Castelló. Configurations of model predictive control to exploit energy flexibility in building thermal loads, 57th IEEE Conference on Decision and Control, 2018, Miami, pp. 3177-3182.