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Title
Modeling and control in air-conditioning systems / Ye Yao, Yuebin Yu.
ISBN
9783662533130 (electronic book)
3662533138 (electronic book)
9783662533116
3662533111
Publication Details
Berlin : Springer, [2017]
Copyright
©2017
Language
English
Description
1 online resource.
Item Number
10.1007/978-3-662-53313-0 doi
Call Number
TH7687.5
Dewey Decimal Classification
697.9301/5118
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file PDF
Source of Description
Online resource; title from PDF title page (viewed October 31, 2016).
Series
Energy and environment research in China.
Available in Other Form
Print version: 9783662533116
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.
