LEADER 03989nam  2201069z- 450 
001 9910557308703321
005 20231214133506.0
035   $a(CKB)5400000000042769
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76378
035   $a(EXLCZ)995400000000042769
100   $a20202201d2021      |y             0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMathematical Modelling of Energy Systems and Fluid Machinery
210   $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021
215   $a1 electronic resource (256 p.)
311   $a3-0365-0550-4 
311   $a3-0365-0551-2 
330   $aThe ongoing digitalization of the energy sector, which will make a large amount of data available, should not be viewed as a passive ICT application for energy technology or a threat to thermodynamics and fluid dynamics, in the light of the competition triggered by data mining and machine learning techniques. These new technologies must be posed on solid bases for the representation of energy systems and fluid machinery. Therefore, mathematical modelling is still relevant and its importance cannot be underestimated. The aim of this Special Issue was to collect contributions about mathematical modelling of energy systems and fluid machinery in order to build and consolidate the base of this knowledge.
606   $aTechnology: general issues$2bicssc
610   $acentrifugal pump
610   $adouble hidden layer
610   $aLevenberg?Marquardt algorithm
610   $aperformance prediction
610   $athermal energy storage
610   $astratification
610   $adynamic simulation
610   $aheating
610   $adouble-channel sewage pump
610   $acritical wall roughness
610   $anumerical calculation
610   $aexternal characteristics
610   $aaxial-flow pump
610   $aimpeller
610   $aapproximation model
610   $aoptimization design
610   $amulti-disciplinary
610   $ablade slot
610   $aorthogonal test
610   $anumerical simulation
610   $aFrancis turbine
610   $aanti-cavity fins
610   $adraft tube
610   $avortex rope
610   $alow flow rates
610   $ainternal flow characteristics
610   $aunsteady pressure
610   $aenergy recovery
610   $aturboexpander
610   $athrottling valves
610   $aCFD
610   $amodelling techniques
610   $aKaplan turbine
610   $adraft tube optimization
610   $aCFD analysis
610   $aDOE
610   $aresponse surface
610   $asingle-channel pump
610   $aCFD-DEM coupling method
610   $aparticle features and behaviors
610   $asolid-liquid two-phase flows
610   $acomputational fluid dynamics (CFD)
610   $aartificial neural network (ANN)
610   $asubcooled boiling flows
610   $auncertainty quantification (UQ)
610   $aMonte Carlo dropout
610   $adeep ensemble
610   $adeep neural network (DNN)
610   $aintake structures
610   $aphysical hydraulic model
610   $afree surface flow
610   $afree surface vortices
610   $avertical pump
610   $adesign considerations
610   $amagnetocaloric effect
610   $acoefficient of performance
610   $arefrigeration
610   $acapacity
610   $amathematical modelling
610   $aenergy systems
615  7$aTechnology: general issues
700   $aMorini$b Mirko$4edt$01311331
702   $aPinelli$b Michele$4edt
702   $aMorini$b Mirko$4oth
702   $aPinelli$b Michele$4oth
906   $aBOOK
912   $a9910557308703321
996   $aMathematical Modelling of Energy Systems and Fluid Machinery$93030255
997   $aUNINA