Supervisory model predictive control of building integrated renewable and low carbon energy systems

To reduce fossil fuel consumption and carbon emission in the building sector, renewable and low carbon energy technologies are integrated in building energy systems to supply all or part of the building energy demand. In this research, an optimal supervisory controller is designed to optimize the op...

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Bibliographic Details

Main Author:	Faramarz Sadr
Format:	Default Thesis
Published:	2012
Subjects:	Other built environment and design not elsewhere classified Building energy system Integrated renewable energy Low carbon energy technology CO2 emission Supervisory control Optimal control Model predictive control Multi-period optimization Multi-parametric programming Explicit model predictive control Built Environment and Design not elsewhere classified
Online Access:	https://hdl.handle.net/2134/9518
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