This paper presents the result of the work performed to develop a virtual test-bed for development and testing of Model Predictive Controllers within the district cooling networks field. These controllers are used for its application in improving the cooling energy efficiency in the network’s building. The article explains the use of the different tools to develop and simulate the models with an emphasis on the advantages and challenges of co-simulation and model exchange using the Functional Mockup Interface
A model-based predictive control (MPC) is designed for optimal thermal energy storage in building co...
It has been proven that advanced building control, like model predictive control (MPC), can notably ...
Abstract Model Predictive Control (MPC) can be used in the context of building automation to improve...
This paper presents the result of the work performed to develop a virtual test-bed for development a...
Recently, with increasing cooling demands, district cooling has assumed an important role as it is m...
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Air Conditioning and Mechanical Ventilation (ACMV) systems are found in almost all buildings and are...
Technological advances in real-time data collection, data transfer and ever-increasing computational...
Model predictive controllers (MPC) have shown great potential for activating the energy flexibility ...
Thermal mass of buildings and domestic hot water tanks represent interesting sources ofthermal energ...
Technological advances in real-time data collection, data transfer and ever-increasing computational...
Radiant slab systems have the potential to significantly reduce energy consumption in buildings. How...
This paper describes the implementation of the Building Controls Virtual Test Bed (BCVTB). The BCVTB...
Thermal mass of buildings and domestic hot water tanks represent interesting sources of thermal ener...
District heating and cooling networks have great potential for energy saving, efficient thermal ener...
A model-based predictive control (MPC) is designed for optimal thermal energy storage in building co...
It has been proven that advanced building control, like model predictive control (MPC), can notably ...
Abstract Model Predictive Control (MPC) can be used in the context of building automation to improve...
This paper presents the result of the work performed to develop a virtual test-bed for development a...
Recently, with increasing cooling demands, district cooling has assumed an important role as it is m...
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
Air Conditioning and Mechanical Ventilation (ACMV) systems are found in almost all buildings and are...
Technological advances in real-time data collection, data transfer and ever-increasing computational...
Model predictive controllers (MPC) have shown great potential for activating the energy flexibility ...
Thermal mass of buildings and domestic hot water tanks represent interesting sources ofthermal energ...
Technological advances in real-time data collection, data transfer and ever-increasing computational...
Radiant slab systems have the potential to significantly reduce energy consumption in buildings. How...
This paper describes the implementation of the Building Controls Virtual Test Bed (BCVTB). The BCVTB...
Thermal mass of buildings and domestic hot water tanks represent interesting sources of thermal ener...
District heating and cooling networks have great potential for energy saving, efficient thermal ener...
A model-based predictive control (MPC) is designed for optimal thermal energy storage in building co...
It has been proven that advanced building control, like model predictive control (MPC), can notably ...
Abstract Model Predictive Control (MPC) can be used in the context of building automation to improve...