Mathematical Modelling of Energy Systems and Fluid Machinery
Material type:
TextLanguage: English Publication details: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021Description: 1 online resource (256 p.)Content type: - text
- computer
- online resource
- 9783036505503
- 9783036505510
- books978-3-0365-0551-0
- Technology: general issues
- anti-cavity fins
- approximation model
- artificial neural network (ANN)
- axial-flow pump
- blade slot
- capacity
- centrifugal pump
- CFD
- CFD analysis
- CFD-DEM coupling method
- coefficient of performance
- computational fluid dynamics (CFD)
- critical wall roughness
- deep ensemble
- deep neural network (DNN)
- design considerations
- DOE
- double hidden layer
- double-channel sewage pump
- draft tube
- draft tube optimization
- dynamic simulation
- energy recovery
- energy systems
- external characteristics
- Francis turbine
- free surface flow
- free surface vortices
- heating
- impeller
- intake structures
- internal flow characteristics
- Kaplan turbine
- Levenberg-Marquardt algorithm
- low flow rates
- magnetocaloric effect
- mathematical modelling
- modelling techniques
- Monte Carlo dropout
- multi-disciplinary
- numerical calculation
- numerical simulation
- optimization design
- orthogonal test
- particle features and behaviors
- performance prediction
- physical hydraulic model
- refrigeration
- response surface
- single-channel pump
- solid-liquid two-phase flows
- stratification
- subcooled boiling flows
- thermal energy storage
- throttling valves
- turboexpander
- uncertainty quantification (UQ)
- unsteady pressure
- vertical pump
- vortex rope
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The 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.
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