This paper presents a thermal control methodology based on an indoor temperature predictive model that regulates heating systems. Future indoor temperature is predicted from historical data of indoor temperature and other outside parameters. A control strategy is defined afterwards in order to retrieve the optimal parameters. The building simulation shows that the developped methodology provides satisfactory results by avoiding overheating and underheating periods and thus improving the thermal comfort and the energy consumption
Model Predictive control is an advanced control tech-nique that has been used to optimize thermal co...
Today, the building sector is the most important consumer of energy. The main challenge in building ...
In this paper we report on our work in the past years on model predictive control of office building...
This paper presents a thermal control methodology based on an indoor temperature predictive model th...
Thermally Activated Building Systems (TABS) are difficult to control due to the time lag between the...
The goal of maintaining users’ thermal comfort conditions in indoor environments may require complex...
The objective of this work is to set up a method to control the thermal behavior of existing buildi...
International audienceAs the most energy-intensive economic sector, the building industry offers a s...
The main objective in this thesis is to explore if a model predictive control scheme can increase th...
Building equipment accounts for almost 40% of total global energy consumption. More than half of whi...
Today, the building sector is the most important consumer of energy. The main challenge in building ...
International audienceTo take advantage of the data generated in buildings, this document proposes a...
A model based predictive control method is applied in order to determine the optimal supply fluid te...
International audienceIn energy-efficient buildings, the interactions and coupling effects between t...
A heating system integrated into the building envelope, such as a floor radiant heating system, is d...
Model Predictive control is an advanced control tech-nique that has been used to optimize thermal co...
Today, the building sector is the most important consumer of energy. The main challenge in building ...
In this paper we report on our work in the past years on model predictive control of office building...
This paper presents a thermal control methodology based on an indoor temperature predictive model th...
Thermally Activated Building Systems (TABS) are difficult to control due to the time lag between the...
The goal of maintaining users’ thermal comfort conditions in indoor environments may require complex...
The objective of this work is to set up a method to control the thermal behavior of existing buildi...
International audienceAs the most energy-intensive economic sector, the building industry offers a s...
The main objective in this thesis is to explore if a model predictive control scheme can increase th...
Building equipment accounts for almost 40% of total global energy consumption. More than half of whi...
Today, the building sector is the most important consumer of energy. The main challenge in building ...
International audienceTo take advantage of the data generated in buildings, this document proposes a...
A model based predictive control method is applied in order to determine the optimal supply fluid te...
International audienceIn energy-efficient buildings, the interactions and coupling effects between t...
A heating system integrated into the building envelope, such as a floor radiant heating system, is d...
Model Predictive control is an advanced control tech-nique that has been used to optimize thermal co...
Today, the building sector is the most important consumer of energy. The main challenge in building ...
In this paper we report on our work in the past years on model predictive control of office building...