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Wind Energy – The Facts, European Wind Energy Asso


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Цена: 29093.00р.
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Автор: European Wind Energy Asso
Название:  Wind Energy – The Facts
ISBN: 9781844077106
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1844077101
Обложка/Формат: Hardback
Страницы: 592
Вес: 1.76 кг.
Дата издания: 17.03.2009
Язык: English
Размер: 253 x 196 x 41
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: A guide to the technology, economics and future of wind power
Рейтинг:
Поставляется из: Европейский союз


Wind Energy – The Facts

Автор: Association
Название: Wind Energy – The Facts
ISBN: 1138881260 ISBN-13(EAN): 9781138881266
Издательство: Taylor&Francis
Рейтинг:
Цена: 7042.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Wind power is often held up as the most accessible and cost-effective route to reducing our reliance on fossil fuels and improving our energy independence, yet knowledge of what it offers is often clouded by myths and misunderstandings, which can hamper its adoption.

This new book, the result of an ambitious project coordinated by the European Wind Energy Association, aims to present the facts about wind energy. It includes six sections discussing:

  • technology
  • grid integration
  • economics of wind
  • its industry and markets
  • its environmental impacts
  • the scenarios and targets for wind energy.

Contributions are drawn from nine leading research bodies across Europe, and the material is global in its scope. It is therefore an essential resource and reference for those whose work or study demands an in-depth examination of the subject, and for anyone who wants detailed, accurate and up-to-date information on this key energy source.

Wind Turbine Airfoils and Blades: Optimization Design Theory

Автор: Jin Chen, Quan Wang
Название: Wind Turbine Airfoils and Blades: Optimization Design Theory
ISBN: 3110344211 ISBN-13(EAN): 9783110344219
Издательство: Walter de Gruyter
Цена: 18586.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Wind Turbine Airfoils and Blades introduces new ideas in the design of wind turbine airfoils and blades based on functional integral theory and the finite element method, accompanied by results from wind tunnel testing. The authors also discuss the optimization of wind turbine blades as well as results from aerodynamic analysis. This book is suitable for researchers and engineers in aeronautics and can be used as a textbook for graduate students.

Model Predictive Control of Wind Energy Conversion  Systems

Автор: Venkata Yaramasu, Bin Wu
Название: Model Predictive Control of Wind Energy Conversion Systems
ISBN: 1118988582 ISBN-13(EAN): 9781118988589
Издательство: Wiley
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Цена: 18842.00 р.
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Описание:

Model Predictive Control of Wind Energy Conversion Systems addresses the predicative control strategy that has emerged as a promising digital control tool within the field of power electronics, variable-speed motor drives, and energy conversion systems.

The authors provide a comprehensive analysis on the model predictive control of power converters employed in a wide variety of variable-speed wind energy conversion systems (WECS). The contents of this book includes an overview of wind energy system configurations, power converters for variable-speed WECS, digital control techniques, MPC, modeling of power converters and wind generators for MPC design. Other topics include the mapping of continuous-time models to discrete-time models by various exact, approximate, and quasi-exact discretization methods, modeling and control of wind turbine grid-side two-level and multilevel voltage source converters. The authors also focus on the MPC of several power converter configurations for full variable-speed permanent magnet synchronous generator based WECS, squirrel-cage induction generator based WECS, and semi-variable-speed doubly fed induction generator based WECS. Furthermore, this book:

  • Analyzes a wide variety of practical WECS, illustrating important concepts with case studies, simulations, and experimental results
  • Provides a step-by-step design procedure for the development of predictive control schemes for various WECS configurations
  • Describes continuous- and discrete-time modeling of wind generators and power converters, weighting factor selection, discretization methods, and extrapolation techniques
  • Presents useful material for other power electronic applications such as variable-speed motor drives, power quality conditioners, electric vehicles, photovoltaic energy systems, distributed generation, and high-voltage direct current transmission.
  • Explores S-Function Builder programming in MATLAB environment to implement various MPC strategies through the companion website

Reflecting the latest technologies in the field, Model Predictive Control of Wind Energy Conversion Systems is a valuable reference for academic researchers, practicing engineers, and other professionals. It can also be used as a textbook for graduate-level and advanced undergraduate courses.

Supervised machine learning in wind forecasting and ramp event prediction

Автор: Harsh S Dhiman; Dipankar Deb; Valentina Emilia Balas
Название: Supervised machine learning in wind forecasting and ramp event prediction
ISBN: 0128213531 ISBN-13(EAN): 9780128213537
Издательство: Elsevier Science
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Цена: 16505.00 р.
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Описание:

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction provides an up-to- date overview on the broad area of wind generation and forecasting, with a focus on the role and need of Machine Learning in this emerging field of knowledge. Various regression models and signal decomposition techniques are presented and analyzed, including least-square, twin support and random forest regression, all with supervised Machine Learning. The specific topics of ramp event prediction and wake interactions are addressed in this book, along with forecasted performance.

Wind speed forecasting has become an essential component to ensure power system security, reliability and safe operation, making this reference useful for all researchers and professionals researching renewable energy, wind energy forecasting and generation.

  • Features various supervised machine learning based regression models
  • Offers global case studies for turbine wind farm layouts
  • Includes state-of-the-art models and methodologies in wind forecasting
Renewable Energy - The Facts

Автор: Witzel, Walter
Название: Renewable Energy - The Facts
ISBN: 1849711593 ISBN-13(EAN): 9781849711593
Издательство: Taylor&Francis
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Цена: 27562.00 р.
Наличие на складе: Нет в наличии.

Solid Oxide Fuels Cells: Facts and Figures

Автор: John T.S. Irvine; Paul Connor
Название: Solid Oxide Fuels Cells: Facts and Figures
ISBN: 1447159020 ISBN-13(EAN): 9781447159025
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book offers clear, accurate data for topics ranging from Ni cermet anodes, chemical expansion in materials, and the measuring and modelling of mechanical stresses, to the broader history and present design of cells, to SOFC systems and the future of SOFC.

Renewable Energy - The Facts

Автор: Witzel, Walter
Название: Renewable Energy - The Facts
ISBN: 1849711607 ISBN-13(EAN): 9781849711609
Издательство: Taylor&Francis
Рейтинг:
Цена: 7042.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Offshore Energy Structures

Автор: Madjid Karimirad
Название: Offshore Energy Structures
ISBN: 331912174X ISBN-13(EAN): 9783319121741
Издательство: Springer
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Цена: 18284.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides all the key information needed to design offshore structures for renewable energy applications successfully. The text connects underlying scientific theory with industry standards and practical implementation issues for offshore wind turbines, wave energy converters and current turbines.

Small Wind Turbines

Автор: Wood
Название: Small Wind Turbines
ISBN: 1849961743 ISBN-13(EAN): 9781849961745
Издательство: Springer
Рейтинг:
Цена: 20962.00 р.
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Описание: Small Wind Turbines provides a thorough grounding in analysing, designing, building, and installing a small wind turbine. Small turbines are introduced by emphasising their differences from large ones and nearly all the analysis and design examples refer to small turbines.The accompanying software includes MATLAB® programs for power production and starting performance, as well as programs for detailed multi-objective optimisation of blade design. A spreadsheet is also given to help readers apply the simple load model of the IEC standard for small wind turbine safety. Small Wind Turbines represents the distilled outcome of over twenty years experience in fundamental research, design and installation, and field testing of small wind turbines.Small Wind Turbines is a suitable reference for student projects and detailed design studies, and also provides important background material for engineers and others using small wind turbines for remote power and distributed generation applications.

Reliability and Risk Evaluation of Wind Integrated Power Systems

Автор: Roy Billinton; Rajesh Karki; Ajit Kumar Verma
Название: Reliability and Risk Evaluation of Wind Integrated Power Systems
ISBN: 8132217462 ISBN-13(EAN): 9788132217466
Издательство: Springer
Рейтинг:
Цена: 15372.00 р.
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Описание: This book deals with reliability and evaluation of renewable energy based electricity generating schemes. It quantifies wind power prediction as well as measures capacity benefit and capacity credit of wind and solar power systems.

Wind Turbine Control and Monitoring

Автор: Ningsu Luo; Yolanda Vidal; Leonardo Acho
Название: Wind Turbine Control and Monitoring
ISBN: 3319356224 ISBN-13(EAN): 9783319356228
Издательство: Springer
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Цена: 15672.00 р.
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Spatio-Temporal Data Analytics for Wind Energy Integration

Автор: Lei Yang; Miao He; Junshan Zhang; Vijay Vittal
Название: Spatio-Temporal Data Analytics for Wind Energy Integration
ISBN: 3319123181 ISBN-13(EAN): 9783319123189
Издательство: Springer
Рейтинг:
Цена: 7182.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This SpringerBrief presents spatio-temporal data analytics for wind energy integration using stochastic modeling and optimization methods. Spatio-Temporal Data Analytics for Wind Energy Integration is valuable for researchers and professionals working towards renewable energy integration.


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