Overview
- Includes many advanced modeling methods in the field of heating, ventilation, air conditioning and refrigeration (HVAC & R) and building environments
- Offers a detailed introduction to HVAC systems and building environments
- Makes a significant contribution to the development of energy-saving technologies in air-conditioning systems and buildings
- Includes supplementary material: sn.pub/extras
Part of the book series: Energy and Environment Research in China (EERC)
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Table of contents (10 chapters)
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Modeling and Control in Air-conditioning Systems
Authors: Ye Yao, Yuebin Yu
Series Title: Energy and Environment Research in China
DOI: https://doi.org/10.1007/978-3-662-53313-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Energy, Energy (R0)
Copyright Information: Shanghai Jiao Tong University Press and Springer-Verlag GmbH Germany 2017
Hardcover ISBN: 978-3-662-53311-6Published: 12 October 2016
Softcover ISBN: 978-3-662-57131-6Published: 16 June 2018
eBook ISBN: 978-3-662-53313-0Published: 01 October 2016
Series ISSN: 2197-0238
Series E-ISSN: 2197-0246
Edition Number: 1
Number of Pages: XXI, 479
Number of Illustrations: 226 b/w illustrations, 46 illustrations in colour
Additional Information: Jointly published with Shanghai Jiao Tong University Press, Shanghai, China
Topics: Energy Efficiency, Building Physics, HVAC, Mathematical Modeling and Industrial Mathematics, Sustainable Development