Proceedings ArticleDOI
Nonlinear model predictive control for energy efficient housing with modern construction materials
Branimir Novoselnik,Josip Cesic,Mato Baotić,Ivan Petrović +3 more
- pp 1-6
TLDR
A model predictive control (MPC) strategy for energy efficient management of heating and cooling of a house that can cope with the nonlinearities in the system induced by the use of modern construction materials is proposed.Abstract:
The reduction of energy consumption in residential buildings and houses represents a major societal and environmental challenge. A huge portion of energy consumption in houses and buildings goes towards comfort control — heating, ventilation and air conditioning. Modern architecture tackles these problems by considering (i) passive exploitation of solar energy and (ii) use of special construction materials that often have quite complex characteristics. Therefore, a smart energy management control system should be able to take both of these considerations into account. This paper proposes a model predictive control (MPC) strategy for energy efficient management of heating and cooling of a house that can cope with the nonlinearities in the system induced by the use of modern construction materials. Furthermore, the proposed controller takes into account the weather forecast information, in particular the prediction of solar irradiance and air temperature. The nonlinear behavior of the system is approximated by a piecewise affine model and further incorporated into the mixed logical dynamical framework. The performance of the proposed nonlinear MPC is demonstrated in simulation experiments, which show applicability and usefulness of the MPC algorithm for energy management.read more
Citations
More filters
Journal ArticleDOI
Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities
TL;DR: In this paper, the authors introduce a common dictionary and taxonomy that gives a common ground to all the engineering disciplines involved in building design and control, and critically discuss the outcomes of different existing MPC algorithms for building and HVAC system management.
References
More filters
Journal ArticleDOI
Model predictive control: theory and practice—a survey
TL;DR: The flexible constraint handling capabilities of MPC are shown to be a significant advantage in the context of the overall operating objectives of the process industries and the 1-, 2-, and ∞-norm formulations of the performance objective are discussed.
Journal ArticleDOI
Review on thermal energy storage with phase change materials and applications
TL;DR: The use of a latent heat storage system using phase change materials (PCMs) is an effective way of storing thermal energy and has the advantages of high energy storage density and the isothermal nature of the storage process.
Journal ArticleDOI
Control of systems integrating logic, dynamics, and constraints
Alberto Bemporad,Manfred Morari +1 more
TL;DR: A predictive control scheme is proposed which is able to stabilize MLD systems on desired reference trajectories while fulfilling operating constraints, and possibly take into account previous qualitative knowledge in the form of heuristic rules.
Journal ArticleDOI
Use of model predictive control and weather forecasts for energy efficient building climate control
Frauke Oldewurtel,Alessandra Parisio,Colin N. Jones,Dimitrios Gyalistras,Markus Gwerder,Vanessa J. Stauch,Beat Lehmann,Manfred Morari +7 more
TL;DR: In this paper, the authors investigated how ModelPredictive control and weatherpredictions can increase the energy efficiency in Integrated Room Automation (IRA) while respecting occupant comfort.
Journal ArticleDOI
Advanced control systems engineering for energy and comfort management in a building environment—A review
TL;DR: This paper presents a multi-agent control system (MACS) that successfully manage the user's preferences for thermal and illuminance comfort, indoor air quality and energy conservation and is simulated using TRNSYS/MATLAB.