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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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Bibliographic Details
Main Author: Morini, Mirko
Other Authors: Pinelli, Michele
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Uncertainty Quantification (uq)
Turboexpander
Anti-cavity Fins
Monte Carlo Dropout
Computational Fluid Dynamics (cfd)
Modelling Techniques
Unsteady Pressure
Orthogonal Test
Levenberg-marquardt Algorithm
Impeller
Draft Tube
Free Surface Flow
Approximation Model
Physical Hydraulic Model
Intake Structures
Energy Systems
External Characteristics
Francis Turbine
Design Considerations
Optimization Design
Solid-liquid Two-phase Flows
Technology: General Issues / Bicssc
Throttling Valves
Magnetocaloric Effect
Blade Slot
Mathematical Modelling
Numerical Calculation
Coefficient Of Performance
Kaplan Turbine
Artificial Neural Network (ann)
Thermal Energy Storage
Vortex Rope
Capacity
Double Hidden Layer
Vertical Pump
Dynamic Simulation
Heating
Numerical Simulation
Subcooled Boiling Flows
Low Flow Rates
Centrifugal Pump
Deep Neural Network (dnn)
Draft Tube Optimization
Cfd-dem Coupling Method
Performance Prediction
Stratification
Response Surface
Energy Recovery
Doe
Double-channel Sewage Pump
Cfd Analysis
Critical Wall Roughness
Axial-flow Pump
Deep Ensemble
Particle Features And Behaviors
Multi-disciplinary
Cfd
Free Surface Vortices
Single-channel Pump
Refrigeration
Internal Flow Characteristics
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (256 p.)
ISBN:9783036505510
books978-3-0365-0551-0
9783036505503

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