1.

Record Nr.

UNINA9910253982303321

Autore

Yao Ye

Titolo

Modeling and Control in Air-conditioning Systems / / by Ye Yao, Yuebin Yu

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2017

Edizione

[1st ed. 2017.]

Descrizione fisica

1 online resource (XXI, 479 p. 272 illus., 46 illus. in color.)

Collana

Energy and Environment Research in China, , 2197-0238

Disciplina

697.93

Soggetti

Energy consumption

Building construction

Mathematical models

Sustainable development

Energy Efficiency

Building Physics, HVAC

Mathematical Modeling and Industrial Mathematics

Sustainable Development

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

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.

Sommario/riassunto

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. .