This paper summarises the output of the EPSRC project “Optimal supervisory control of renewable energy systems in buildings” (GR/S30467) which was rated by referees as Tending to Internationally Leading for both its Research Quality and Scientific Impact. Zhang was the lead author. Hanby was his line manager and the PI on the grant.The paper describes a research project concerned with the problem of supervisory control of systems which combine a range of heat sources with active and passive thermal storage. The work is based around a prototype building which includes a ventilated PV array, solar air and water heating, biomass-fired boiler and a stratified thermal store. The supervisory control problem is, for each source, whether to deploy...
With the recent focus on climate protection amidst rising energy prices, the need of the hour is the...
Controllers employing optimal control strategies will path the way to enable flexible operations in ...
This thesis presents the development of heuristic model-based predictive control strategies for an i...
The Energy Management System (EMS) is an efficient technique to monitor, control and enhance the bui...
The Energy Management System (EMS) is an efficient technique to monitor, control and enhance the bui...
This paper presents a comparative analysis of different modeling and control techniques that can be ...
The Energy Management System (EMS) is an efficient technique to monitor, control and enhance the bui...
This paper presents a comparative analysis of different modeling and control techniques that can be ...
This paper presents a comparative analysis of different modeling and control techniques that can be ...
This paper presents a comparative analysis of different modeling and control techniques that can be ...
To reduce fossil fuel consumption and carbon emission in the building sector, renewable and low carb...
The Energy Management System (EMS) is an efficient technique to monitor, control and enhance the bui...
This thesis presents an experimental and theoretical study of a reduced-order modelling methodology ...
2012-11-13In the United States, buildings account for nearly three quarters of electricity consumpti...
peer reviewedThis paper describes the methodology to apply discrete-time optimal control to a buildi...
With the recent focus on climate protection amidst rising energy prices, the need of the hour is the...
Controllers employing optimal control strategies will path the way to enable flexible operations in ...
This thesis presents the development of heuristic model-based predictive control strategies for an i...
The Energy Management System (EMS) is an efficient technique to monitor, control and enhance the bui...
The Energy Management System (EMS) is an efficient technique to monitor, control and enhance the bui...
This paper presents a comparative analysis of different modeling and control techniques that can be ...
The Energy Management System (EMS) is an efficient technique to monitor, control and enhance the bui...
This paper presents a comparative analysis of different modeling and control techniques that can be ...
This paper presents a comparative analysis of different modeling and control techniques that can be ...
This paper presents a comparative analysis of different modeling and control techniques that can be ...
To reduce fossil fuel consumption and carbon emission in the building sector, renewable and low carb...
The Energy Management System (EMS) is an efficient technique to monitor, control and enhance the bui...
This thesis presents an experimental and theoretical study of a reduced-order modelling methodology ...
2012-11-13In the United States, buildings account for nearly three quarters of electricity consumpti...
peer reviewedThis paper describes the methodology to apply discrete-time optimal control to a buildi...
With the recent focus on climate protection amidst rising energy prices, the need of the hour is the...
Controllers employing optimal control strategies will path the way to enable flexible operations in ...
This thesis presents the development of heuristic model-based predictive control strategies for an i...