Modeling and control in air-conditioning systems /

Modeling and control in air-conditioning systems /

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Bibliographic Details
Author / Creator:Yao, Ye, author.
Imprint:Berlin : Springer, [2017]
©2017
Description:1 online resource
Language:English
Series:Energy and environment research in China, 2197-0238
Energy and environment research in China.
Subject:
Air conditioning -- Mathematical models.
Air conditioning -- Automatic control.
Air conditioning -- Automatic control.
Air conditioning -- Mathematical models.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11267233
Hidden Bibliographic Details
Other authors / contributors:Yu, Yuebin, author.
ISBN:9783662533130
3662533138
9783662533116
3662533111
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (EBSCO, viewed October 31, 2016).
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.
Other form:Print version: Yao, Ye. Modeling and control in air-conditioning systems. Berlin : Springer, [2017] 3662533111 9783662533116
Standard no.:10.1007/978-3-662-53313-0
10.1007/978-3-662-53
Table of Contents:
  • 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.

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