Wind Turbine Icing

This book includes six chapters on wind turbine icing. For wind turbines operating in cold regions, icing often occurs on blade surfaces in winter. This ice accretion can change the aerodynamic shape of the blade airfoil, causing performance degradation and loss of power generation, even leading to...

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collection Directory of Open Access Books
description This book includes six chapters on wind turbine icing. For wind turbines operating in cold regions, icing often occurs on blade surfaces in winter. This ice accretion can change the aerodynamic shape of the blade airfoil, causing performance degradation and loss of power generation, even leading to operational accidents. This book focuses on the recent research progress on wind turbine icing. Chapters address such topics as the effect of icing conditions on the icing distribution characteristics of a blade airfoil for vertical-axis wind turbines, power loss estimation in wind turbines due to icing, wind turbine icing prediction methods, especially those using machine learning, the icing process of a single water droplet on a cold aluminum plate surface, the main theories of the icing adhesive mechanism, and theoretical and experimental studies on the ultrasonic de-icing method for wind turbine blades. This book is a valuable reference for researchers and engineers engaged in wind turbine icing and anti-icing research.
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institution Directory of Open Access Books
language eng
publishDate 2024
publishDateRange 2024
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spelling doab-20.500.12854ir-1353992024-04-11T20:35:01Z Wind Turbine Icing Li, Yan machine learning cfd numerical simulation artificial neural network wind energy thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering This book includes six chapters on wind turbine icing. For wind turbines operating in cold regions, icing often occurs on blade surfaces in winter. This ice accretion can change the aerodynamic shape of the blade airfoil, causing performance degradation and loss of power generation, even leading to operational accidents. This book focuses on the recent research progress on wind turbine icing. Chapters address such topics as the effect of icing conditions on the icing distribution characteristics of a blade airfoil for vertical-axis wind turbines, power loss estimation in wind turbines due to icing, wind turbine icing prediction methods, especially those using machine learning, the icing process of a single water droplet on a cold aluminum plate surface, the main theories of the icing adhesive mechanism, and theoretical and experimental studies on the ultrasonic de-icing method for wind turbine blades. This book is a valuable reference for researchers and engineers engaged in wind turbine icing and anti-icing research. 2024-03-07T17:19:04Z 2024-03-07T17:19:04Z 2023 book ONIX_20240307_9781837690152_308 9781837690152 9781837690145 9781837690169 https://directory.doabooks.org/handle/20.500.12854/135399 eng image/jpeg n/a https://www.intechopen.com/books/12758 https://mts.intechopen.com/storage/books/12758/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/intechopen.110924 10.5772/intechopen.110924 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9781837690152 9781837690145 9781837690169 IntechOpen 118 open access
spellingShingle machine learning
cfd
numerical simulation
artificial neural network
wind energy
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering
Wind Turbine Icing
title Wind Turbine Icing
title_full Wind Turbine Icing
title_fullStr Wind Turbine Icing
title_full_unstemmed Wind Turbine Icing
title_short Wind Turbine Icing
title_sort wind turbine icing
topic machine learning
cfd
numerical simulation
artificial neural network
wind energy
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering
topic_facet machine learning
cfd
numerical simulation
artificial neural network
wind energy
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering
url ONIX_20240307_9781837690152_308