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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Computational Fluid Dynamics in Renewable Energy Technologies (Paperback)
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032064196 ISBN 13: 9781032064192
Language: English
Paperback. Condition: new. Paperback. This book is focused on combining the concepts of computational fluid dynamics (CFD) and renewable energy technologies. Besides introducing the fundamentals, the core of this book contains a series of practical examples providing useful information about the methods and smart solutions for CFD modeling of selected Renewable Energy Sources (RES) - based technologies. Each chapter includes a theoretical introduction to the discussed topic, descriptions of factors determining efficiency and other important parameters, followed by practical information concerning the CFD modeling methodology. A summary of the relevant recommendations and exemplary results with comments is also included.Features:provides practical examples on the application of numerical methods in the analysis of renewable energy processesincludes an introduction to CFD for practitionersexplores selected aspects of the methodology used in CFD simulations of renewable energy technologiesdiscusses tips and hints for efficient use of CFD codes functionalitiescontains additional exercise devoted to the geothermal systemsThis book is aimed at professionals and graduate students in energy engineering, renewable energy, CFD, energy systems, fluid mechanics and applied mathematics. This book is focussed at combining the concepts of computational fluid dynamics (CFD) and renewable energy technologies. Besides introducing the fundamentals, the core of the book contains a series of practical examples providing useful information about the methods and smart solutions for CFD modelling of selected RES - based technologies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Computational Fluid Dynamics in Renewable Energy Technologies: Theory, Fundamentals and Exercises
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032064196 ISBN 13: 9781032064192
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 860.
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Computational Fluid Dynamics in Renewable Energy Technologies (Paperback)
Published by Taylor & Francis Ltd, London, 2025
ISBN 10: 1032064196 ISBN 13: 9781032064192
Language: English
US$ 87.21
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. This book is focused on combining the concepts of computational fluid dynamics (CFD) and renewable energy technologies. Besides introducing the fundamentals, the core of this book contains a series of practical examples providing useful information about the methods and smart solutions for CFD modeling of selected Renewable Energy Sources (RES) - based technologies. Each chapter includes a theoretical introduction to the discussed topic, descriptions of factors determining efficiency and other important parameters, followed by practical information concerning the CFD modeling methodology. A summary of the relevant recommendations and exemplary results with comments is also included.Features:provides practical examples on the application of numerical methods in the analysis of renewable energy processesincludes an introduction to CFD for practitionersexplores selected aspects of the methodology used in CFD simulations of renewable energy technologiesdiscusses tips and hints for efficient use of CFD codes functionalitiescontains additional exercise devoted to the geothermal systemsThis book is aimed at professionals and graduate students in energy engineering, renewable energy, CFD, energy systems, fluid mechanics and applied mathematics. This book is focussed at combining the concepts of computational fluid dynamics (CFD) and renewable energy technologies. Besides introducing the fundamentals, the core of the book contains a series of practical examples providing useful information about the methods and smart solutions for CFD modelling of selected RES - based technologies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Add to basketPaperback. Condition: Brand New. 464 pages. 10.00x7.00x10.00 inches. In Stock.
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Computational Fluid Dynamics in Renewable Energy Technologies
Published by Taylor & Francis Ltd, 2025
ISBN 10: 1032064196 ISBN 13: 9781032064192
Language: English
US$ 108.43
Convert currencyUS$ 49.31 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: new. This book is focussed at combining the concepts of computational fluid dynamics (CFD) and renewable energy technologies. Besides introducing the fundamentals, the core of the book contains a series of practical examples providing useful information about the methods and smart solutions for CFD modelling of selected RES - based technologies. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Computational Fluid Dynamics Technologies and Applications
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Condition: New. pp. 464 1st edition NO-PA16APR2015-KAP.
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Computational Fluid Dynamics in Renewable Energy Technologies : Theory, Fundamentals and Exercises
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Computational Fluid Dynamics in Renewable Energy Technologies
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Adaptive Finite Element Methods for Microfluidics: Computational fluid dynamics (CFD) technologies for fluid flows and numerical modeling of electro-osmotic flows in microchannels
Published by LAP LAMBERT Academic Publishing, 2010
ISBN 10: 383830280X ISBN 13: 9783838302805
Language: English
US$ 253.95
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Computational Fluid Dynamics in Renewable Energy Technologies : Theory, Fundamentals and Exercises
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketHardcover. Condition: Brand New. 448 pages. 10.00x7.00x1.24 inches. In Stock.
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Add to basketHardcover. Condition: New. ISBN:9789533071695.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Computational Fluid Dynamics in Renewable Energy Technologies
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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US$ 103.14
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Adaptive Finite Element Methods for Microfluidics : Computational fluid dynamics (CFD) technologies for fluid flows and numerical modeling of electro-osmotic flows in microchannels
Published by LAP LAMBERT Academic Publishing, 2010
ISBN 10: 383830280X ISBN 13: 9783838302805
Language: English
US$ 94.53
Convert currencyUS$ 71.82 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of writing in this monograph is to introduce a wider audience to the use of adaptive finite element methods with particular emphasis on practical engineering applications to computational fluid dynamics (CFD) design approaches for microfluidics. Nowadays, microfluidic applications spread out even widely throughout research and development activities for various types of MEMS, BioMEMS, or lab-on-a-chip devices. This monograph is to highlight three numerical modeling strategies of microfluidic devices through adaptive finite element methods and parallel computing. Although adaptive finite elements in general have been mature subject within their numerical and mathematical aspects, the techniques are still in its infant stage of addressing CFD design approaches for microfluidics. Hence, this monograph is to take a practical engineering approach to attack CFD design of microfluidics. The adaptive finite element methods, which is main topic in this monograph, naturally produce error estimations of its underlying numerical simulation and further improve numerical solutions by adapting meshes efficiently based on local error indicators given by their error estimations.
