Model predictive control and energy optimisation in residential building with electric underfloor heating system
Authors:
- Maciej Ławryńczuk,
- Paweł Ocłoń
Abstract
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.
- Record ID
- CUT49748b0ccfdc4aeb9fe74d261f1b0e0f
- Publication categories
- ;
- Author
- Journal series
- Energy, ISSN 0360-5442, e-ISSN 1873-6785
- Issue year
- 2019
- Vol
- 182
- Pages
- 1028-1044
- Other elements of collation
- tab.; wykr.; Bibliografia (na s.) - 1043-1044; Bibliografia (liczba pozycji) - 53; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 182
- Keywords in English
- electric underfloor heating, energy optimisation, model identification, model predictive control, residential building, temperature control
- DOI
- DOI:10.1016/j.energy.2019.06.062 Opening in a new tab
- URL
- https://www.sciencedirect.com/science/article/abs/pii/S0360544219311934?via%3Dihub Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 200
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT49748b0ccfdc4aeb9fe74d261f1b0e0f/
- URN
urn:pkr-prod:CUT49748b0ccfdc4aeb9fe74d261f1b0e0f
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.