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Modeling and control in air-conditio...

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Modeling and control in air-conditioning systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modeling and control in air-conditioning systemsby Ye Yao, Yuebin Yu.
作者:	Yao, Ye.
其他作者:	Yu, Yuebin.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg :2017.
面頁冊數:	xxi, 479 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Air conditioningMathematical models.
電子資源:	http://dx.doi.org/10.1007/978-3-662-53313-0
ISBN:	9783662533130$q(electronic bk.)

Modeling and control in air-conditioning systems
Yao, Ye.

Modeling and control in air-conditioning systems[electronic resource] /by Ye Yao, Yuebin Yu. - Berlin, Heidelberg :Springer Berlin Heidelberg :2017. - xxi, 479 p. :ill., digital ;24 cm. - Energy and environment research in China,2197-0238. - Energy and environment research in China..

Introduction -- State-space modelling for air-conditioning system -- Modelling based on graph theory and structure-matrix theory -- Control design based on state-space model -- Air-conditioning load forecasting model -- Optimal operation and energy analysis modelling for air-conditioning system -- Thermal comfort of human body indoors -- Multizone network modelling of building ventilation and contaminant transport -- Computational fluid dynamics of building environment -- Coupled multizone and CFD modelling of building environment -- New trends of advanced modelling of building environment.

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.

ISBN: 9783662533130$q(electronic bk.)

Standard No.: 10.1007/978-3-662-53313-0doiSubjects--Topical Terms:

770439
Air conditioning
--Mathematical models.

LC Class. No.: TH7687.5

Dewey Class. No.: 697.93015118

Modeling and control in air-conditioning systems
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505 0 $a Introduction -- State-space modelling for air-conditioning system -- Modelling based on graph theory and structure-matrix theory -- Control design based on state-space model -- Air-conditioning load forecasting model -- Optimal operation and energy analysis modelling for air-conditioning system -- Thermal comfort of human body indoors -- Multizone network modelling of building ventilation and contaminant transport -- Computational fluid dynamics of building environment -- Coupled multizone and CFD modelling of building environment -- New trends of advanced modelling of building environment.
520 $a 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.
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