Mathematical Modelling of Energy Systems and Fluid Machinery

• Eará dahkkit: Morini, Mirko (Doaimmaheaddji), Pinelli, Michele (Doaimmaheaddji)
• Materiálatiipa: Elektrovnnalaš Girjji oassi
• Giella: eaŋgalasgiella
• Almmustuhtton: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Fáttát: 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
• Liŋkkat: DOAB: download the publication; DOAB: description of the publication

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...