Modeling And Control In Air-conditioning Systems (energy And Environment Research In China)
by Ye Yao /
2016 / English / PDF
21 MB Download
This book investigates the latest modeling and control
technologies in the context of air-conditioning systems. Firstly,
it introduces the state-space method for developing dynamic
models of all components in a central air-conditioning system.
The models are primarily nonlinear and based on the fundamental
principle of energy and mass conservation, and are transformed
into state-space form through linearization. The book goes on to
describe and discuss the state-space models with the help of
graph theory and the structure-matrix theory.
This book investigates the latest modeling and control
technologies in the context of air-conditioning systems. Firstly,
it introduces the state-space method for developing dynamic
models of all components in a central air-conditioning system.
The models are primarily nonlinear and based on the fundamental
principle of energy and mass conservation, and are transformed
into state-space form through linearization. The book goes on to
describe and discuss the state-space models with the help of
graph theory and the structure-matrix theory.
Subsequently, virtual sensor calibration and virtual sensing
methods (which are very useful for real system control) are
illustrated together with a case study. Model-based predictive
control and state-space feedback control are applied to
air-conditioning systems to yield better local control, while the
air-side synergic control scheme and a global optimization
strategy based on the decomposition-coordination method are
developed so as to achieve energy conservation in the central
air-conditioning system. Lastly, control strategies for VAV
systems including total air volume control and trim &
response static pressure control are investigated in
practice.
Subsequently, virtual sensor calibration and virtual sensing
methods (which are very useful for real system control) are
illustrated together with a case study. Model-based predictive
control and state-space feedback control are applied to
air-conditioning systems to yield better local control, while the
air-side synergic control scheme and a global optimization
strategy based on the decomposition-coordination method are
developed so as to achieve energy conservation in the central
air-conditioning system. Lastly, control strategies for VAV
systems including total air volume control and trim &
response static pressure control are investigated in
practice.