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Computational Fluid Dynamics in Renewable Energy Technologies
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Computational Fluid Dynamics in Renewable Energy Technologies : Theory, Fundamentals and Exercises

Book Details

Format Paperback / Softback
ISBN-10 1032064196
ISBN-13 9781032064192
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Aug 29th, 2025
Print length 446 Pages
Weight 860 grams
Ksh 12,200.00
Werezi Extended Catalogue 0 in stock

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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.
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.

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