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Erschienen in:

2018 | OriginalPaper | Buchkapitel

2. Computational Fluid Dynamics Methods for Wind Turbines Performance Analysis

verfasst von : Navid Goudarzi

Erschienen in: Advanced Wind Turbine Technology

Verlag: Springer International Publishing

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Abstract

Improving the energy efficiency of wind turbines and capacity factor of wind farms is a continuous research subject in recent years. While the maximum energy conversion efficiency of different wind harnessing machines has a range from 0.59 to 0.70, actual commercial-scale efficiency of these machines is less than 0.5 in the current optimum designs. To improve this value, wind harnessing machine designs with improved efficiency and reliability values in wind farms with high capacity factors in both onshore and offshore applications are needed.

Studying fluid dynamics of wind turbines and their wake analysis when they are installed in a wind farm could be challenging as turbulence plays a major role. Computational science and numerical analysis are established fields in wind engineering research, practice, and education. Computational fluid dynamics (CFD) as one of these strong tools uses numerical algorithms to solve and analyze problems that take place in fluid flows. This chapter reviews the current CFD techniques for studying turbulent flows and wakes of wind turbines blades.

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Vorheriges Kapitel Reliability-Based Design Optimization of Wind Turbine Systems

Nächstes Kapitel Gearbox of Wind Turbine

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Titel: Computational Fluid Dynamics Methods for Wind Turbines Performance Analysis
verfasst von: Navid Goudarzi
Verlag: Springer International Publishing
Buch: Advanced Wind Turbine Technology
Print ISBN: 978-3-319-78165-5

Electronic ISBN: 978-3-319-78166-2

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-78166-2_2