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The model-based control of building heating systems for energy saving encounters severe physical, mathematical and calibration difficulties in the numerous attempts that has been published until now. This topic is addressed here via a new model-free control setting, where the need of any mathematical description disappears. Several convincing computer simulations are presented. Comparisons with classic...
The problems concerning pollution and energy supply have forced Europe to dwindle its consumption.In this contribution, a new control method will be developed based on Model Predictive Control (MPC) to optimally drive a heating system. The goal is to develop a model predictive control for heating in buildings calculating optimal heating inputs for the heating system while assuring a standard level...
Optimization of energy consumption is a crucial need nowadays. To achieve this optimization, a representation of the thermal behavior of the building is important. Which means that information about the building materials, insulation layers and the thermal interaction between these materials are necessary. However, in most cases, these information are not available and a parameter estimation is necessary...
This paper proposes a new method for an optimal control of the heating system at the building scale. This control is a new approach of energy planning that aims to decrease the heating consumption/expenses over a defined prediction horizon while respecting the occupants’ thermal comfort. It employs a simplified building thermal model to simulate the building thermal behavior taking into consideration...
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