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Modeling and Control in Air-conditioning Systems

  • Ye Yao
  • Yuebin Yu

Part of the Energy and Environment Research in China book series (EERC)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Ye Yao, Yuebin Yu
    Pages 1-27
  3. Ye Yao, Yuebin Yu
    Pages 29-108
  4. Ye Yao, Yuebin Yu
    Pages 109-158
  5. Ye Yao, Yuebin Yu
    Pages 159-188
  6. Ye Yao, Yuebin Yu
    Pages 189-220
  7. Ye Yao, Yuebin Yu
    Pages 221-296
  8. Ye Yao, Yuebin Yu
    Pages 329-357
  9. Ye Yao, Yuebin Yu
    Pages 423-479

About this book

Introduction

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. 

Keywords

Air Conditioning System Building Environment Building Ventilation Computational Fluid Dynamics Contaminant Transport Heating, Ventilation, Air Conditioning and Refrigeration(HVAC & R) State-space Model

Authors and affiliations

  • Ye Yao
    • 1
  • Yuebin Yu
    • 2
  1. 1.Shanghai Jiao Tong UniversityShanghaiChina
  2. 2.University of Nebraska-Lincoln LincolnUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-53313-0
  • Copyright Information Shanghai Jiao Tong University Press and Springer-Verlag GmbH Germany 2017
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Energy
  • Print ISBN 978-3-662-53311-6
  • Online ISBN 978-3-662-53313-0
  • Series Print ISSN 2197-0238
  • Series Online ISSN 2197-0246
  • Buy this book on publisher's site
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