04285nam 22006495 450 991025398230332120200706174807.010.1007/978-3-662-53313-0(CKB)3710000000884731(DE-He213)978-3-662-53313-0(MiAaPQ)EBC4707894(PPN)258869593(PPN)196319498(EXLCZ)99371000000088473120161001d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierModeling and Control in Air-conditioning Systems /by Ye Yao, Yuebin Yu1st ed. 2017.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2017.1 online resource (XXI, 479 p. 272 illus., 46 illus. in color.) Energy and Environment Research in China,2197-02383-662-53311-1 3-662-53313-8 Includes bibliographical references.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.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. .Energy and Environment Research in China,2197-0238Energy efficiencyBuilding constructionMathematical modelsSustainable developmentEnergy Efficiencyhttps://scigraph.springernature.com/ontologies/product-market-codes/118000Building Physics, HVAChttps://scigraph.springernature.com/ontologies/product-market-codes/T23080Mathematical Modeling and Industrial Mathematicshttps://scigraph.springernature.com/ontologies/product-market-codes/M14068Sustainable Developmenthttps://scigraph.springernature.com/ontologies/product-market-codes/U34000Energy efficiency.Building construction.Mathematical models.Sustainable development.Energy Efficiency.Building Physics, HVAC.Mathematical Modeling and Industrial Mathematics.Sustainable Development.697.93Yao Yeauthttp://id.loc.gov/vocabulary/relators/aut922922Yu Yuebinauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910253982303321Modeling and Control in Air-conditioning Systems2281459UNINA