Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting, Tomar
Автор: Lio Название: Blade-Pitch Control for Wind Turbine Load Reductions ISBN: 3319755315 ISBN-13(EAN): 9783319755311 Издательство: Springer Рейтинг: Цена: 14635.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This thesis investigates the use of blade-pitch control and real-time wind measurements to reduce the structural loads on the rotors and blades of wind turbines.
Описание: The revised edition presents, extends, and updates a thorough analysis of the factors that cause and accelerate the aging of conductive and insulating materials of which transmission and distribution electrical apparatus is made. When exposed to atmospheric corrosive gases, contaminants, high and low temperatures, vibrations, and other internal
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 Рейтинг: Цена: 16505.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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
Описание: This book first covers power quality control, including various approaches to improve the power quality as well as conventional PI control, proportional-resonant control, and advanced repetitive control. It then analyzes, in detail, neutral line provision, where one topology and several control strategies are discussed.
Описание: This book highlights the application of Geographical Information System (GIS) and nature based algorithms to solve the problems of water and water based renewable energy resources.
Автор: Wai Hou (Alan) Lio Название: Blade-Pitch Control for Wind Turbine Load Reductions ISBN: 3030092577 ISBN-13(EAN): 9783030092573 Издательство: Springer Рейтинг: Цена: 14635.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This thesis investigates the use of blade-pitch control and real-time wind measurements to reduce the structural loads on the rotors and blades of wind turbines. The first part of the thesis studies the main similarities between the various classes of current blade-pitch control strategies, which have to date remained overlooked by mainstream literature. It also investigates the feasibility of an estimator design that extracts the turbine tower motion signal from the blade load measurements. In turn, the second part of the thesis proposes a novel model predictive control layer in the control architecture that enables an existing controller to incorporate the upcoming wind information and constraint-handling features. This thesis provides essential clarifications of and systematic design guidelines for these topics, which can benefit the design of wind turbines and, it is hoped, inspire the development of more innovative mechanical load-reduction solutions in the field of wind energy.
In addition to describing core concepts and principles, this book reveals professional methodologies and tools used by national agencies and private corporations to predict sites’ potential for wind and solar power generation. Each chapter focuses on a different issue, showing readers the corresponding methodology, as well as examples of how to apply the techniques described. These techniques are explained with step-by-step guides that demonstrate how environmental variables in complex terrains can be characterized and forecasted.
The authors present an adaptive finite element mass-consistent model, which computes a diagnostic wind field in the three-dimensional area of interest using observed wind data from measurement stations – data which is then interpolated using a physical model of the wind field in the boundary layer. An ensemble method is presented based on the perturbation of the numerical weather prediction models’ results.
The book goes on to explain solar radiation characterization and forecasting. Solar radiation and electrical power generation temporal and spatial variability are discussed and modelled. Different statistical methods are presented in order to improve solar radiation forecasting using ground measurement, numerical weather predictions (NWPs) and satellite-derived data. This book is focused on both probabilistic and point forecast explaining different models and methodologies to improve the forecasting. The results obtained from various simulations around the world are presented in tables. Finally, the book explains a possible methodology to develop a Solar Map taking into account solar radiation, terrain surface conditions and cast shadows.
As such, the book provides an overview of the concepts, principles and practices involved in the treatment of environmental variables related to solar radiation or wind fields, especially when complex terrains are involved, offering useful resources for students and researchers alike. It also equips professionals with the methodologies and tools needed to construct environmental variable maps and conduct forecasting for solar radiation and wind fields.
Автор: Philippe Drobinski; Mathilde Mougeot; Dominique Pi Название: Renewable Energy: Forecasting and Risk Management ISBN: 3319990519 ISBN-13(EAN): 9783319990514 Издательство: Springer Рейтинг: Цена: 19514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Gathering selected, revised and extended contributions from the conference ‘Forecasting and Risk Management for Renewable Energy FOREWER’, which took place in Paris in June 2017, this book focuses on the applications of statistics to the risk management and forecasting problems arising in the renewable energy industry. The different contributions explore all aspects of the energy production chain: forecasting and probabilistic modelling of renewable resources, including probabilistic forecasting approaches; modelling and forecasting of wind and solar power production; prediction of electricity demand; optimal operation of microgrids involving renewable production; and finally the effect of renewable production on electricity market prices. Written by experts in statistics, probability, risk management, economics and electrical engineering, this multidisciplinary volume will serve as a reference on renewable energy risk management and at the same time as a source of inspiration for statisticians and probabilists aiming to work on energy-related problems.
In our power-hungry world, all the talk about energy—what’s safe and what’s risky, what’s clean and what’s dirty, what’s cheap and what’s easy—tends to generate more heat than light. What, Julianne Couch wanted to know, is the real story on power production in this country? Approaching the question as a curious consumer, Couch takes us along as she visits nine sites where electrical power is developed from different fuel sources. From a geothermal plant in the Mojave Desert to a nuclear plant in Nebraska, from a Wyoming coal-fired power plant to a Maine tidal-power project, Couch gives us an insider’s look at how power is generated, how it affects neighboring landscapes and the people who live and work there, and how each source comes with its own unique complications.
The result is an informed, evenhanded discussion of energy production and consumption on the global, national, regional, local, and—most important—personal level. Knowledge is the real power this book imparts, allowing each of us to think beyond the flip of a switch to the real consequences of our energy use.
Автор: Emeis Название: Wind Energy Meteorology ISBN: 331972858X ISBN-13(EAN): 9783319728582 Издательство: Springer Рейтинг: Цена: 17074.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers an introduction to the meteorological boundary conditions for power generation from wind – both onshore and offshore, and provides meteorological information for the planning and running of this important renewable energy source. It includes the derivation of wind laws and wind-profile descriptions, especially those above the logarithmic surface layer, and discusses winds over complex terrains and nocturnal low-level jets. This updated and expanded second edition features new chapters devoted to the efficiency of large wind parks and their wakes and to offshore wind energy.
Автор: Baringo Название: Electric Vehicles and Renewable Generation ISBN: 3031090780 ISBN-13(EAN): 9783031090783 Издательство: Springer Рейтинг: Цена: 19514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Power System Operation and Planning under Uncertainty provides the mathematical models and tools needed to plan and operate future power systems. It discusses the challenging task of the integration of a high penetration of renewable energies and electric vehicles within existing power systems. This book explores the uncertainty faced by power systems that is associated with the evolution of capital costs, technical developments of immature renewable technologies and energy storage systems, the number of electrical vehicles, and the participation of electricity end users in demand response programs. It helps provide solutions, and points to areas of further research that will help resolve. The models, tools and techniques described in this book are of interest for researches of energy systems, professionals working as power system planners or operators, and for graduate students in power engineering and operations research.
Автор: El Bassam, Nasir Название: Distributed Renewable Energies For Off-Grid Communities ISBN: 0123971780 ISBN-13(EAN): 9780123971784 Издательство: Elsevier Science Рейтинг: Цена: 13641.00 р. Наличие на складе: Нет в наличии.
Описание: Energy is directly related to the critical economic and social issues which affect sustainable development such as mobility, environmental quality, regional and global security issues. This book provides various options and case studies related to potential of renewable energies along with their environmental, economic and social dimensions.
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