AbstractEnergy consumption depends on buildings usage. For this reason energy management is a main goal. A building model embedded controller involves model choice and validation step. Models have to be both simple and reliable for real-time or predictive control application. This paper describes hybrid models approach using physics knowledge and measures. First a test is performed on a reduced scale building model. Secondly an experimental room including a floor heating system (FHS) is used. Three resistance-capacity (RC) models are proposed corresponding to different ways to consider FHS effect on inner temperature. The study reveals that knowledge of surface temperatures leads to the best description
AbstractRadiant heating coupled to a heat pump is a particularly energy-efficient system, recommende...
This paper presents a comparative analysis of different modeling and control techniques that can be ...
This thesis presents the development of heuristic model-based predictive control strategies for an i...
Thermally Activated Building Systems (TABS) are difficult to control due to the time lag between the...
International audienceAs the most energy-intensive economic sector, the building industry offers a s...
International audienceIn energy-efficient buildings, the interactions and coupling effects between t...
Heating, Ventilation and Air Conditioning (HVAC) systems generally have high energy requirements, he...
Modern buildings require continuous performance monitoring, automatic diagnostics and optimal superv...
Several studies have demonstrated the capability of data-driven modelling based on on-site measureme...
The building sector is forced to reduce its energy consumption in a context of high energy prices an...
The aim of the paper is to illustrate the possibilities offered by modelassisted commissioning in re...
It is widely accepted that simulation tools need to be carefully configured with appropriate inputs ...
This research investigates the overall heating energy consumptions using various control strategies,...
International audienceThis paper presents a control-oriented reduced-order building model intended f...
Buildings are one of the largest energy consumers in the world which accounts for nearly 40% of the ...
AbstractRadiant heating coupled to a heat pump is a particularly energy-efficient system, recommende...
This paper presents a comparative analysis of different modeling and control techniques that can be ...
This thesis presents the development of heuristic model-based predictive control strategies for an i...
Thermally Activated Building Systems (TABS) are difficult to control due to the time lag between the...
International audienceAs the most energy-intensive economic sector, the building industry offers a s...
International audienceIn energy-efficient buildings, the interactions and coupling effects between t...
Heating, Ventilation and Air Conditioning (HVAC) systems generally have high energy requirements, he...
Modern buildings require continuous performance monitoring, automatic diagnostics and optimal superv...
Several studies have demonstrated the capability of data-driven modelling based on on-site measureme...
The building sector is forced to reduce its energy consumption in a context of high energy prices an...
The aim of the paper is to illustrate the possibilities offered by modelassisted commissioning in re...
It is widely accepted that simulation tools need to be carefully configured with appropriate inputs ...
This research investigates the overall heating energy consumptions using various control strategies,...
International audienceThis paper presents a control-oriented reduced-order building model intended f...
Buildings are one of the largest energy consumers in the world which accounts for nearly 40% of the ...
AbstractRadiant heating coupled to a heat pump is a particularly energy-efficient system, recommende...
This paper presents a comparative analysis of different modeling and control techniques that can be ...
This thesis presents the development of heuristic model-based predictive control strategies for an i...