Search results for: learning-from-wind-power

Learning from Wind Power

Author : Joseph Szarka
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Bringing together contributions from leading researchers, this volume reflects on the political, institutional and social factors that have shaped the recent expansion of wind energy, and to consider what lessons this experience may provide for the future expansion of other renewable technologies.

WIND POWER TECHNOLOGY THIRD EDITION

Author : EARNEST, JOSHUA
File Size : 84.62 MB
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"I encourage all those who will read this book, will promote both directly and indirectly the use and awareness of wind energy as a clean and viable source of electric power." —THOMAS ACKERMAN, Ph.D., Wind Power Author and Founder, Energynautics GmbH, Germany "Those who will read this book, will be well prepared to work in the wind power sector and participate in the important task to develop a renewable energy system which can stop the global climate change." —TORE WIZELIUS, Wind Power Author, Teacher and Wind Project Developer, Sweden "This book provides a valuable technical information on small wind turbines that will allow students to become amateur wind engineers and entrepreneurs in this growing industry." —Urban Green Energy, USA This comprehensive textbook, now in its third edition, incorporates significant improvements based on the readers' suggestions and demands. It provides engineering students with the principles of different types of grid connected renewable energy sources and, in particular, the detailed underpinning knowledge required to understand the different types of grid connected wind turbines. New to the Third Edition • Revised Chapter 1 providing considerable amount of current information and technologies related to various types of renewable energy technologies • One new chapter on 'Electronics in Renewable Energy Systems' (Chapter 15) Designed as a textbook for Renewable Energy courses offered in the most of the Indian universities, the book not only serves for the one-semester stream-specific course on Renewable Energy or Wind Energy for diploma and senior level undergraduate students of electrical, mechanical, electronics and instrumentation engineering, but also for the postgraduate engineering students undertaking energy studies. TARGET AUDIENCE • B.Tech/M.Tech (EEE/ECE/ME) • Diploma (engineering)

Technological Learning in the Transition to a Low Carbon Energy System

Author : Martin Junginger
File Size : 43.91 MB
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Technological Learning in the Transition to a Low-Carbon Energy System: Conceptual Issues, Empirical Findings, and Use in Energy Modeling quantifies key trends and drivers of energy technologies deployed in the energy transition. It uses the experience curve tool to show how future cost reductions and cumulative deployment of these technologies may shape the future mix of the electricity, heat and transport sectors. The book explores experience curves in detail, including possible pitfalls, and demonstrates how to quantify the 'quality' of experience curves. It discusses how this tool is implemented in models and addresses methodological challenges and solutions. For each technology, current market trends, past cost reductions and underlying drivers, available experience curves, and future prospects are considered. Electricity, heat and transport sector models are explored in-depth to show how the future deployment of these technologies--and their associated costs--determine whether ambitious decarbonization climate targets can be reached - and at what costs. The book also addresses lessons and recommendations for policymakers, industry and academics, including key technologies requiring further policy support, and what scientific knowledge gaps remain for future research. Provides a comprehensive overview of trends and drivers for major energy technologies expected to play a role in the energy transition Delivers data on cost trends, helping readers gain insights on how competitive energy technologies may become, and why Reviews the use of learning curves in environmental impacts for lifecycle assessments and energy modeling Features social learning for cost modeling and technology diffusion, including where consumer preferences play a major role

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

Author : Harsh S. Dhiman
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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

Wind Turbine Technology

Author : Ahmad Hemami
File Size : 59.5 MB
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WIND TURBINE TECHNOLOGY, is a comprehensive and well illustrated text on the theory and operations of wind turbines that generate electricity for power companies. This text is written for an introductory course in wind energy technology. It prepares readers for a career as wind energy technicians who are responsible for maintaining, servicing and troubleshooting turbines on wind farms. This is an inclusive text that covers the main subjects associated with wind turbines. Dr. Hemami uses a practical, step-by-step manner with many examples and applications to help students to have a better understanding of the material. The text is divided into 17 progressive chapters. The book is divided into progressive sections, starting with fundamental subjects such as energy in the wind and effect of wind on a blade and continues onto more advanced materials such as grid connection and economics of wind turbines. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Technological Learning in the Energy Sector

Author : Martin Junginger
File Size : 59.47 MB
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'This expert analysis provides an important contribution to understanding the technicalities of energy technology cost dynamics. Given the urgent need for delivery of low-cost renewable energy technologies in particular, it is vital to understand how to accelerate this process of technological learning.' - Miguel Mendonca, World Future Council, Germany

Wind Turbine Control Systems

Author : David A. Rivkin
File Size : 70.35 MB
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The wind energy industry is a key player in the booming alternative energy market, and job opportunities abound in this rapidly-growing field. Wind Turbine Control Systems provides critical resources for experienced and novice learners alike. The text provides an in-depth survey of wind turbine control systems. It covers key wind-energy control strategies and offers a comprehensive overview of the ways in which wind is generated, converted, and controlled.

Wind Power in Europe

Author : J. Szarka
File Size : 48.49 MB
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At a time when humanity is challenged by fossil fuel depletion and climate change, this book explains the development of wind power as a major energy growth sector, stressing the interactions between political, economic and social dimensions as the key to understanding public acceptability and uptake.

In operation Learning of Optimal Wind Farm Operation Strategy

Author : Joan Oliva Gratacós
File Size : 37.35 MB
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In a wind farm, power losses due to wind turbine wake effects can be up to 30-40% under certain conditions. As the global installed wind power capacity increases, the mitigation of wake effects in wind farms is gaining more importance. Following a conventional control strategy, each individual turbine maximizes its own power production without taking into consideration its effects on the performance of downstream turbines. Therefore, this control scheme results in operation conditions that yield suboptimal power production. In order to increase the overall wind farm power production, a cooperative control strategy can be used, which coordinates the control actions among the wind turbines in the wind farm. This work further investigates the model-free Bayesian Ascent optimization algorithm using SimWindFarm and a standalone Dynamic Wake Meandering model-based simulation tool An advantage of such optimization approach is that the control strategy adapts to operational conditions in the wind farm and is not model-dependent. An approximation of the wind farm power function is constructed using GP regression to fit the control action inputs and the noisy measured power outputs, which is then maximized to determine the optimal control inputs. This estimation is updated in every iteration, allowing the control system to learn from the target system while performing the optimization. The usage of all historical data, along with a trust region constraint in the sampling of new inputs, contribute to a fast convergence rate with gradual changes of the control actions. The developed learning technique is implemented in a wind farm controller and tested in both SimWindFarm and standalone Dynamic Wake Meandering model-based simulation tools. With the conducted tests, performance of the algorithm is assessed considering the different dynamics in the wind farm, thus obtaining an accurate representation of real farm operation. The developed controller reliably improves farm efficiency, even with uncertainty present in measurements. Compared to traditional control strategies, an increase in total wind farm power production is obtained when using a cooperative control strategy. Such enhancement in wind farm performance would result in an improvement of wind farm economics and hence in further growth of wind-energy based power generation.

Energy in the 21st Century

Author : John R. Fanchi
File Size : 77.57 MB
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Many events that affect global energy production and consumption have occurred since the second edition of Energy in the 21st Century appeared in 2011. For example, an earthquake and tsunami in Japan led to the disruption of the Fukushima nuclear facility and a global re-examination of the safety of the nuclear industry. Oil and natural gas prices continue to be volatile, and the demand for energy has been affected by the global economy. The third edition updates data and the discussion of recent events.Energy in the 21st Century has been used as the text for an introductory energy course for the general college student population. Based on student feedback, we have included several features that enhance the value of the third edition as a textbook. In particular, we have included learning objectives at the beginning of each chapter, end of chapter activities, a comprehensive index, and a glossary. Points to Ponder are abbreviated as P2P in the Learning Objectives boxes and are provided throughout the text. They are designed to encourage the reader to consider the material from different perspectives.

Experience Curves for Energy Technology Policy

Author : Agence internationale de l'énergie
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The fact that market experience improves performance and reduces prices is well known and widely exploited in technology-intensive industries, but sparsely used in analysis for energy technology policy. Knowledge of the "experience effect" can help in the design of efficient programmes for deploying of environment-friendly technologies. The effect must be taken into account when estimating the future costs of achieving targets, including targets for carbon dioxide reduction. This book discusses issues raised by the "experience effect", such as price-cost cycles, competition for learning opportunities in the market, risk of "technology lockout" and the effects of research, development and deployment policies on technology learning. Case studies illustrate how experience curves can be used to set policy targets and to design policy measures that will encourage both investment in and use of environment-friendly energy technologies. Low-cost paths to stabilising CO2 emissions are explored.

WIND POWER TECHNOLOGY

Author : JOSHUA EARNEST
File Size : 44.90 MB
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I encourage all those who will read this book, will promote both directly and indirectly the use and awareness of wind energy as a clean and viable source of electric power. —Thomas Ackerman, Ph.D., Wind Power Author and Founder, Energynautics GmbH, Germany Those who will read this book, will be well prepared to work in the wind power sector and participate in the important task to develop a renewable energy system which can stop the global climate change. —Tore Wizelius, Wind Power Author, Teacher and Wind Project Developer, Sweden This book provides a valuable technical information on small wind turbines that will allow students to become amateur wind engineers and entrepreneurs in this growing industry. —Urban Green Energy, USA This comprehensive textbook discusses the underlying principles of different types of grid connected renewable energy sources and in particular, the detailed underpinning knowledge required to understand the different types of grid connected wind power plants. A unique feature of this book is that along with every figure title, a brief explanation follows that helps the reader to understand the concepts without going back to the paragraphs again. The saying that a picture is more than a thousand words is evident from the 260 illustrations. The relevant pictures, tables, graphs and ample worked-out examples accelerate the learning. The coverage of software-based computer simulation examples of grid connected wind electrical generators is another special characteristic of this book. Still, another unique feature is the inclusion of a chapter on the much sought after small wind turbine technologies. Designed as a textbook for Renewable Energy courses with emphasis on wind power offered in the undergraduate and diploma engineering programmes in most of the universities of India, the book can serve for the one-semester stream specific course on Renewable Energy or Wind Energy for senior level undergraduate students of electrical, mechanical, electronics and instrumentation engineering as well as for the postgraduate engineering students.

Windpower Monthly Newsmagazine

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File Size : 20.68 MB
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Intelligent Data Engineering and Automated Learning IDEAL 2007

Author : Hujun Yin
File Size : 20.36 MB
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This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2007, held in Birmingham, UK, in December 2007. The 170 revised full papers presented were carefully reviewed and selected from more than 270 submissions. The papers are organized in topical sections on learning and information processing, data mining and information management, bioinformatics and neuroinformatics, agents and distributed systems, financial engineering and modeling, agent-based approach to service sciences, as well as neural-evolutionary fusion algorithms and their applications.

Development of an Offshore Specific Wind Power Forecasting System

Author : Melih Kurt
File Size : 55.42 MB
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This study explains the data preparation processes, plausibility checking of meteorological parameters, correction of met-mast wind speed, and also the determination of the nominal power of a wind farm using met-mast measurements. The wind speed correction of met-mast FINO1 is evaluated from the perspective of power produced by alpha ventus by using uncorrected and corrected measurements from this met-mast. Afterwards this data is used for the determination of nominal power for alpha ventus.

Wind Energy Systems

Author : Gary L. Johnson
File Size : 88.2 MB
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The Cultivator

Author :
File Size : 52.23 MB
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The New Wind Power

Author : Jon Naar
File Size : 29.88 MB
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Solar PV and Wind Energy Conversion Systems

Author : S. Sumathi
File Size : 84.67 MB
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This textbook starts with a review of the principles of operation, modeling and control of common solar energy and wind-power generation systems before moving on to discuss grid compatibility, power quality issues and hybrid models of Solar PV and Wind Energy Conversion Systems (WECS). MATLAB/SIMULINK models of fuel cell technology and associated converters are discussed in detail. The impact of soft computing techniques such as neural networks, fuzzy logic and genetic algorithms in the context of solar and wind energy is explained with practical implementation using MATLAB/SIMULINK models. This book is intended for final year undergraduate, post-graduate and research students interested in understanding the modeling and control of Solar PV and Wind Energy Conversion Systems based on MATLAB/SIMULINK. - Each chapter includes “Learning Objectives” at the start, a “Summary” at the end and helpful Review Questions - Includes MATLAB/SIMULINK models of different control strategies for power conditioning units in the context of Solar PV - Presents soft computing techniques for Solar PV and WECS, as well as MATLAB/SIMULINK models, e.g. for wind turbine topologies and grid integration - Covers hybrid solar PV and Wind Energy Conversion Systems with converters and MATLAB/SIMULINK models - Reviews harmonic reduction in Solar PV and Wind Energy Conversion Systems in connection with power quality issues - Covers fuel cells and converters with implementation using MATLAB/SIMULINK

Windpower

Author : Gitte G. Jensen
File Size : 87.73 MB
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