Mathematical Modelling of Energy Systems and Fluid Machinery

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 t...

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Detalles Bibliográficos
Otros Autores:	Morini, Mirko (Editor), Pinelli, Michele (Otro)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Materias:	Technology: general issues centrifugal pump double hidden layer Levenberg–Marquardt algorithm performance prediction thermal energy storage stratification dynamic simulation heating double-channel sewage pump critical wall roughness numerical calculation external characteristics axial-flow pump impeller approximation model optimization design multi-disciplinary blade slot orthogonal test numerical simulation Francis turbine anti-cavity fins draft tube vortex rope low flow rates internal flow characteristics unsteady pressure energy recovery turboexpander throttling valves CFD modelling techniques Kaplan turbine draft tube optimization CFD analysis DOE response surface single-channel pump CFD-DEM coupling method particle features and behaviors solid-liquid two-phase flows computational fluid dynamics (CFD) artificial neural network (ANN) subcooled boiling flows uncertainty quantification (UQ) Monte Carlo dropout deep ensemble deep neural network (DNN) intake structures physical hydraulic model free surface flow free surface vortices vertical pump design considerations magnetocaloric effect coefficient of performance refrigeration capacity mathematical modelling energy systems
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009654528906719