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Computational Fluid Dynamics Modeling in Development of Renewable Energy Applica - Couverture souple
Synopsis
Computational Fluid Dynamics (CFD) is the science of predicting fluid flow, heat transfer, mass transfer, phase change, chemical reaction, mechanical movement, stress or deformation of related solid structures, and related phenomena by solving the mathematical equations that govern these processes using a numerical algorithm on a computer. The results of CFD analyses are relevant in: conceptual studies of new designs, detailed product development, troubleshooting, and redesign. CFD analysis complements testing and experimentation, by reduces the total effort required in the experiment design and data acquisition. CFD complements physical modelling and other experimental techniques by providing a detailed look into our fluid flow problems, including complex physical processes such as turbulence, chemical reactions, heat and mass transfer, and multiphase flows. In many cases, we can build and analyze virtual models at a fraction of the time and cost of physical modelling. This allows us to investigate more design options and "what if" scenarios than ever before. Moreover, flow modelling provides insights into our fluid flow problems that would be too costly or simply prohibitive by experimental techniques alone. The added insight and understanding gained from flow modelling gives us confidence in our design proposals, avoiding the added costs of over-sizing and over-specification, while reducing risk. CFD can play a significant role in the study of renewable energy systems and various phenomena happening within these systems. The chapters in this book clearly demonstrate the rapid recent development of renewable energy applications of CFD techniques. The book is intended to serve as a reference for both researchers and postgraduate students.
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Présentation de l'éditeur
Computational Fluid Dynamics (CFD) is the science of predicting fluid flow, heat transfer, mass transfer, phase change, chemical reaction, mechanical movement, stress or deformation of related solid structures, and related phenomena by solving the mathematical equations that govern these processes using a numerical algorithm on a computer. The results of CFD analyses are relevant in: conceptual studies of new designs, detailed product development, troubleshooting, and redesign. CFD analysis complements testing and experimentation, by reduces the total effort required in the experiment design and data acquisition. CFD complements physical modelling and other experimental techniques by providing a detailed look into our fluid flow problems, including complex physical processes such as turbulence, chemical reactions, heat and mass transfer, and multiphase flows. In many cases, we can build and analyze virtual models at a fraction of the time and cost of physical modelling. This allows us to investigate more design options and "what if" scenarios than ever before. Moreover, flow modelling provides insights into our fluid flow problems that would be too costly or simply prohibitive by experimental techniques alone. The added insight and understanding gained from flow modelling gives us confidence in our design proposals, avoiding the added costs of over-sizing and over-specification, while reducing risk. CFD can play a significant role in the study of renewable energy systems and various phenomena happening within these systems. The chapters in this book clearly demonstrate the rapid recent development of renewable energy applications of CFD techniques. The book is intended to serve as a reference for both researchers and postgraduate students.
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- ÉditeurCreateSpace Independent Publishing Platform
- Date d'édition2011
- ISBN 10 1466231319
- ISBN 13 9781466231313
- ReliureBroché
- Langueanglais
- Nombre de pages414
- Coordonnées du fabricantnon disponible
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Computational Fluid Dynamics Modeling in Development of Renewable Energy Applica
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Paperback. Etat : Brand New. 414 pages. 10.00x7.00x0.98 inches. This item is printed on demand. N° de réf. du vendeur zk1466231319
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