LEADER 04285nam 22006495 450 001 9910253982303321 005 20200706174807.0 024 7 $a10.1007/978-3-662-53313-0 035 $a(CKB)3710000000884731 035 $a(DE-He213)978-3-662-53313-0 035 $a(MiAaPQ)EBC4707894 035 $z(PPN)258869593 035 $a(PPN)196319498 035 $a(EXLCZ)993710000000884731 100 $a20161001d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModeling and Control in Air-conditioning Systems /$fby Ye Yao, Yuebin Yu 205 $a1st ed. 2017. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2017. 215 $a1 online resource (XXI, 479 p. 272 illus., 46 illus. in color.) 225 1 $aEnergy and Environment Research in China,$x2197-0238 311 $a3-662-53311-1 311 $a3-662-53313-8 320 $aIncludes bibliographical references. 327 $aIntroduction -- 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. 330 $aThis book investigates the latest modeling and control technologies in the context of air-conditioning systems. Firstly, it introduces the state-space method for developing dynamic models of all components in a central air-conditioning system. The models are primarily nonlinear and based on the fundamental principle of energy and mass conservation, and are transformed into state-space form through linearization. The book goes on to describe and discuss the state-space models with the help of graph theory and the structure-matrix theory. Subsequently, virtual sensor calibration and virtual sensing methods (which are very useful for real system control) are illustrated together with a case study. Model-based predictive control and state-space feedback control are applied to air-conditioning systems to yield better local control, while the air-side synergic control scheme and a global optimization strategy based on the decomposition-coordination method are developed so as to achieve energy conservation in the central air-conditioning system. Lastly, control strategies for VAV systems including total air volume control and trim & response static pressure control are investigated in practice. . 410 0$aEnergy and Environment Research in China,$x2197-0238 606 $aEnergy efficiency 606 $aBuilding construction 606 $aMathematical models 606 $aSustainable development 606 $aEnergy Efficiency$3https://scigraph.springernature.com/ontologies/product-market-codes/118000 606 $aBuilding Physics, HVAC$3https://scigraph.springernature.com/ontologies/product-market-codes/T23080 606 $aMathematical Modeling and Industrial Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M14068 606 $aSustainable Development$3https://scigraph.springernature.com/ontologies/product-market-codes/U34000 615 0$aEnergy efficiency. 615 0$aBuilding construction. 615 0$aMathematical models. 615 0$aSustainable development. 615 14$aEnergy Efficiency. 615 24$aBuilding Physics, HVAC. 615 24$aMathematical Modeling and Industrial Mathematics. 615 24$aSustainable Development. 676 $a697.93 700 $aYao$b Ye$4aut$4http://id.loc.gov/vocabulary/relators/aut$0922922 702 $aYu$b Yuebin$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910253982303321 996 $aModeling and Control in Air-conditioning Systems$92281459 997 $aUNINA