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Techniques for Protecting Overhead Lines in Winter Conditions: Dimensioning, Icephobic Surfaces, De-Icing Strategies (en Inglés)
Masoud Farzaneh
(Autor)
·
William A. Chisholm
(Autor)
·
Springer
· Tapa Dura
Techniques for Protecting Overhead Lines in Winter Conditions: Dimensioning, Icephobic Surfaces, De-Icing Strategies (en Inglés) - Farzaneh, Masoud ; Chisholm, William A.
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Origen: Reino Unido
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Jueves 18 de Julio y el
Viernes 26 de Julio.
Lo recibirás en cualquier lugar de Internacional entre 1 y 3 días hábiles luego del envío.
Reseña del libro "Techniques for Protecting Overhead Lines in Winter Conditions: Dimensioning, Icephobic Surfaces, De-Icing Strategies (en Inglés)"
This book offers a comprehensive review of the various options for improving the performance of overhead power lines in winter conditions, taking into account both mechanical and electrical aspects. Experience within the CIGRE community reveals many strategies to protect overhead power lines from damage caused by heavy build-up of ice and snow or electrical issues such as insulator icing flashovers. The initial approach is to consider the predicted ice loads from the available databases. This is supplemented with some fundamental aspects of icing physics that affect accretion rate as well as factors in ice shedding on traditional (metal, ceramic) and novel treated surfaces. These ice physics concepts structure the ways to categorize and evaluate methods to reduce or prevent icing on conductors and ground wires or to prevent flashover of insulators. Many utilities in cold climate regions have developed and used methods and strategies to reduce ice loads using anti-icing (AI) and / or de-icing (DI) methods. In general, AI methods are used before or early during ice build-up, while DI methods are activated during and sometimes after ice build-up. The book describes and discusses some historical, operational, or potential AI / DI systems in the ice physics context. This supports a comprehensive review of AI coatings including concepts, relevant material properties, application methods, and finally test methods for characterizing the long-term performance.