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03568nam a22005175i 4500 |
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978-3-662-53313-0 |
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20161001092505.0 |
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161001s2017 gw | s |||| 0|eng d |
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|a 9783662533130
|9 978-3-662-53313-0
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|a 10.1007/978-3-662-53313-0
|2 doi
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|a T58.8
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|a 658.26
|2 23
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|a Yao, Ye.
|e author.
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|a Modeling and Control in Air-conditioning Systems
|h [electronic resource] /
|c by Ye Yao, Yuebin Yu.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2017.
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|a XXI, 479 p. 272 illus., 46 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|a text file
|b PDF
|2 rda
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|a Energy and Environment Research in China,
|x 2197-0238
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|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.
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|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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|a Energy.
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|a Mathematical models.
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|a Building construction.
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|a Sustainable development.
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|a Energy.
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|a Energy Efficiency.
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|a Building Physics, HVAC.
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|a Mathematical Modeling and Industrial Mathematics.
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|a Sustainable Development.
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|a Yu, Yuebin.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783662533116
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|a Energy and Environment Research in China,
|x 2197-0238
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|u http://dx.doi.org/10.1007/978-3-662-53313-0
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-ENE
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|a Energy (Springer-40367)
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