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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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 |
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author2 |
Pinelli, Michele Morini, Mirko Pinelli, Michele |
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Pinelli, Michele Morini, Mirko Pinelli, Michele |
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m m mm m p mp |
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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 |
work_keys_str_mv |
AT morinimirko mathematicalmodellingofenergysystemsandfluidmachinery AT pinellimichele mathematicalmodellingofenergysystemsandfluidmachinery |
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(CKB)5400000000042769 (oapen)https://directory.doabooks.org/handle/20.500.12854/76378 (EXLCZ)995400000000042769 |
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Mathematical Modelling of Energy Systems and Fluid Machinery |
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1796651990701309952 |
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