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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Year of Publication:2021
Language:English
Physical Description:1 electronic resource (256 p.)
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spelling Morini, Mirko edt
Mathematical Modelling of Energy Systems and Fluid Machinery
Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
1 electronic resource (256 p.)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
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.
English
Technology: general issues bicssc
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
3-0365-0550-4
3-0365-0551-2
Pinelli, Michele edt
Morini, Mirko oth
Pinelli, Michele oth
language English
format eBook
author2 Pinelli, Michele
Morini, Mirko
Pinelli, Michele
author_facet Pinelli, Michele
Morini, Mirko
Pinelli, Michele
author2_variant m m mm
m p mp
author2_role HerausgeberIn
Sonstige
Sonstige
title Mathematical Modelling of Energy Systems and Fluid Machinery
spellingShingle Mathematical Modelling of Energy Systems and Fluid Machinery
title_full Mathematical Modelling of Energy Systems and Fluid Machinery
title_fullStr Mathematical Modelling of Energy Systems and Fluid Machinery
title_full_unstemmed Mathematical Modelling of Energy Systems and Fluid Machinery
title_auth Mathematical Modelling of Energy Systems and Fluid Machinery
title_new Mathematical Modelling of Energy Systems and Fluid Machinery
title_sort mathematical modelling of energy systems and fluid machinery
publisher MDPI - Multidisciplinary Digital Publishing Institute
publishDate 2021
physical 1 electronic resource (256 p.)
isbn 3-0365-0550-4
3-0365-0551-2
illustrated Not Illustrated
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is_hierarchy_title Mathematical Modelling of Energy Systems and Fluid Machinery
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