TY - JOUR
DP - National Agricultural Library
DB - PubAg
JO - Energy
TI - Model Predictive Control and energy optimisation in residential building with electric underfloor heating system
A1 - Ławryńczuk, Maciej
A4 - Ławryńczuk, Maciej
A4 - Ocłoń, Paweł
EP - 2019 v.182
KW - air temperature
KW - energy
KW - heat
KW - heating systems
KW - linear models
KW - residential housing
KW - system optimization
KW - winter
AN - 6475061
AB - This work is concerned with modelling, Model Predictive Control (MPC) and on-line energy optimisation of a residential building in which an underfloor heating system based on electric heating foils is used. At first, the first-principle model is developed to determine air temperature inside the building. Low-order linear models for MPC are found. Tuning of MPC is discussed, both set-point change and disturbance compensation cases are discussed. Next, two control system structures are considered: MPC with a constant temperature set-point and MPC cooperating with a set-point optimiser which repeatedly calculates on-line the set-point in order to minimise the amount of energy used. Effectiveness of these structures is validated in simulations using a real scenario of outdoor temperature changes. In the first structure a natural method to reduce energy used is to slightly reduce the temperature set-point, e.g. reduction of the set-point from 21∘C to 18.5∘C leads to reducing the energy usage by approx. 1430 KWh during the heating season. Introduction of the set-point optimiser makes it possible to further reduce energy used by approx. 300 KWh annually. The presented solution is computationally efficient since in MPC and set-point optimisation the classical quadratic optimisation method is used on-line.
PY - 2019
LA -
DA - 2019-09-01
VL - v. 182
SP - pp. 1028-1044
DO - 10.1016/j.energy.2019.06.062
ER -