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Mathematical Modelling of Energy Systems and Fluid Machinery

dc.contributor.editorMorini, Mirko
dc.contributor.editorPinelli, Michele
dc.date.accessioned2022-01-11T13:30:21Z
dc.date.available2022-01-11T13:30:21Z
dc.date.issued2021
dc.identifierONIX_20220111_9783036505503_114
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/76378
dc.description.abstractThe 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.othercentrifugal pump
dc.subject.otherdouble hidden layer
dc.subject.otherLevenberg–Marquardt algorithm
dc.subject.otherperformance prediction
dc.subject.otherthermal energy storage
dc.subject.otherstratification
dc.subject.otherdynamic simulation
dc.subject.otherheating
dc.subject.otherdouble-channel sewage pump
dc.subject.othercritical wall roughness
dc.subject.othernumerical calculation
dc.subject.otherexternal characteristics
dc.subject.otheraxial-flow pump
dc.subject.otherimpeller
dc.subject.otherapproximation model
dc.subject.otheroptimization design
dc.subject.othermulti-disciplinary
dc.subject.otherblade slot
dc.subject.otherorthogonal test
dc.subject.othernumerical simulation
dc.subject.otherFrancis turbine
dc.subject.otheranti-cavity fins
dc.subject.otherdraft tube
dc.subject.othervortex rope
dc.subject.otherlow flow rates
dc.subject.otherinternal flow characteristics
dc.subject.otherunsteady pressure
dc.subject.otherenergy recovery
dc.subject.otherturboexpander
dc.subject.otherthrottling valves
dc.subject.otherCFD
dc.subject.othermodelling techniques
dc.subject.otherKaplan turbine
dc.subject.otherdraft tube optimization
dc.subject.otherCFD analysis
dc.subject.otherDOE
dc.subject.otherresponse surface
dc.subject.othersingle-channel pump
dc.subject.otherCFD-DEM coupling method
dc.subject.otherparticle features and behaviors
dc.subject.othersolid-liquid two-phase flows
dc.subject.othercomputational fluid dynamics (CFD)
dc.subject.otherartificial neural network (ANN)
dc.subject.othersubcooled boiling flows
dc.subject.otheruncertainty quantification (UQ)
dc.subject.otherMonte Carlo dropout
dc.subject.otherdeep ensemble
dc.subject.otherdeep neural network (DNN)
dc.subject.otherintake structures
dc.subject.otherphysical hydraulic model
dc.subject.otherfree surface flow
dc.subject.otherfree surface vortices
dc.subject.othervertical pump
dc.subject.otherdesign considerations
dc.subject.othermagnetocaloric effect
dc.subject.othercoefficient of performance
dc.subject.otherrefrigeration
dc.subject.othercapacity
dc.subject.othermathematical modelling
dc.subject.otherenergy systems
dc.titleMathematical Modelling of Energy Systems and Fluid Machinery
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-0551-0
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036505503
oapen.relation.isbn9783036505510
oapen.pages256
oapen.place.publicationBasel, Switzerland


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