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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| Format: | Online |
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| Jezik: | angleščina |
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MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Online dostop: | ONIX_20220111_9783036505503_114 |
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| _version_ | 1869518742930587648 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-76378 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-763782024-04-09T23:16:33Z Mathematical Modelling of Energy Systems and Fluid Machinery Morini, Mirko Pinelli, Michele 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 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. 2022-01-11T13:30:21Z 2022-01-11T13:30:21Z 2021 book ONIX_20220111_9783036505503_114 9783036505503 9783036505510 https://directory.doabooks.org/handle/20.500.12854/76378 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/3803 https://mdpi.com/books/pdfview/book/3803 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0551-0 10.3390/books978-3-0365-0551-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036505503 9783036505510 256 Basel, Switzerland open access |
| spellingShingle | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Mathematical Modelling of Energy Systems and Fluid Machinery |
| title | 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_short | Mathematical Modelling of Energy Systems and Fluid Machinery |
| title_sort | mathematical modelling of energy systems and fluid machinery |
| topic | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20220111_9783036505503_114 |