Model Predictive Control of Wind Energy Conversion Systems

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Publisher : John Wiley & Sons
ISBN 13 : 1118988582
Total Pages : 516 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Model Predictive Control of Wind Energy Conversion Systems by : Venkata Yaramasu

Download or read book Model Predictive Control of Wind Energy Conversion Systems written by Venkata Yaramasu and published by John Wiley & Sons. This book was released on 2016-12-19 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Predictive Modelling for Energy Management and Power Systems Engineering

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Publisher : Elsevier
ISBN 13 : 012817773X
Total Pages : 553 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Predictive Modelling for Energy Management and Power Systems Engineering by : Ravinesh Deo

Download or read book Predictive Modelling for Energy Management and Power Systems Engineering written by Ravinesh Deo and published by Elsevier. This book was released on 2020-09-30 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets. - Presents advanced optimization techniques to improve existing energy demand system - Provides data-analytic models and their practical relevance in proven case studies - Explores novel developments in machine-learning and artificial intelligence applied in energy management - Provides modeling theory in an easy-to-read format

Artificial Intelligence for Renewable Energy Systems

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Publisher : John Wiley & Sons
ISBN 13 : 1119761697
Total Pages : 276 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Artificial Intelligence for Renewable Energy Systems by : Ajay Kumar Vyas

Download or read book Artificial Intelligence for Renewable Energy Systems written by Ajay Kumar Vyas and published by John Wiley & Sons. This book was released on 2022-03-02 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE FOR RENEWABLE ENERGY SYSTEMS Renewable energy systems, including solar, wind, biodiesel, hybrid energy, and other relevant types, have numerous advantages compared to their conventional counterparts. This book presents the application of machine learning and deep learning techniques for renewable energy system modeling, forecasting, and optimization for efficient system design. Due to the importance of renewable energy in today’s world, this book was designed to enhance the reader’s knowledge based on current developments in the field. For instance, the extraction and selection of machine learning algorithms for renewable energy systems, forecasting of wind and solar radiation are featured in the book. Also highlighted are intelligent data, renewable energy informatics systems based on supervisory control and data acquisition (SCADA); and intelligent condition monitoring of solar and wind energy systems. Moreover, an AI-based system for real-time decision-making for renewable energy systems is presented; and also demonstrated is the prediction of energy consumption in green buildings using machine learning. The chapter authors also provide both experimental and real datasets with great potential in the renewable energy sector, which apply machine learning (ML) and deep learning (DL) algorithms that will be helpful for economic and environmental forecasting of the renewable energy business. Audience The primary target audience includes research scholars, industry engineers, and graduate students working in renewable energy, electrical engineering, machine learning, information & communication technology.

Wind Energy Modeling and Simulation

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Publisher : Institution of Engineering and Technology
ISBN 13 : 1785615211
Total Pages : 425 pages
Book Rating : 4.7/5 (856 download)

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Book Synopsis Wind Energy Modeling and Simulation by : Paul Veers

Download or read book Wind Energy Modeling and Simulation written by Paul Veers and published by Institution of Engineering and Technology. This book was released on 2019-11-07 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to optimise the yield of wind power from existing and future wind plants, the entire breadth of the system of a plant, from the wind field to the turbine components, needs to be modelled in the design process. The modelling and simulation approaches used in each subsystem as well as the system-wide solution methods to optimize across subsystem boundaries are described in this reference. Chapters are written by technical experts in each field, describing the current state of the art in modelling and simulation for wind plant design. This comprehensive, two-volume research reference will provide long-lasting insight into the methods that will need to be developed for the technology to advance into its next generation.

Frontiers of Engineering

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Publisher : National Academies Press
ISBN 13 : 0309466016
Total Pages : 141 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis Frontiers of Engineering by : National Academy of Engineering

Download or read book Frontiers of Engineering written by National Academy of Engineering and published by National Academies Press. This book was released on 2018-02-22 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents papers on the topics covered at the National Academy of Engineering's 2017 US Frontiers of Engineering Symposium. Every year the symposium brings together 100 outstanding young leaders in engineering to share their cutting-edge research and innovations in selected areas. The 2017 symposium was held September 25-27 at the United Technologies Research Center in East Hartford, Connecticut. The intent of this book is to convey the excitement of this unique meeting and to highlight innovative developments in engineering research and technical work.

Model Predictive Control for Microgrids

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Publisher : Energy Engineering
ISBN 13 : 9781839533976
Total Pages : 300 pages
Book Rating : 4.5/5 (339 download)

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Book Synopsis Model Predictive Control for Microgrids by : Jiefeng Hu

Download or read book Model Predictive Control for Microgrids written by Jiefeng Hu and published by Energy Engineering. This book was released on 2021-09 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model predictive control (MPC) is a method for controlling a process while satisfying a set of constraints. The use of MPC for controlling power systems has been gaining traction in recent years. This work presents the use of MPC for distributed renewable power generation in microgrids.

Airborne Wind Energy

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Publisher : Springer
ISBN 13 : 9811019479
Total Pages : 752 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Airborne Wind Energy by : Roland Schmehl

Download or read book Airborne Wind Energy written by Roland Schmehl and published by Springer. This book was released on 2018-03-31 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides in-depth coverage of the latest research and development activities concerning innovative wind energy technologies intended to replace fossil fuels on an economical basis. A characteristic feature of the various conversion concepts discussed is the use of tethered flying devices to substantially reduce the material consumption per installed unit and to access wind energy at higher altitudes, where the wind is more consistent. The introductory chapter describes the emergence and economic dimension of airborne wind energy. Focusing on “Fundamentals, Modeling & Simulation”, Part I includes six contributions that describe quasi-steady as well as dynamic models and simulations of airborne wind energy systems or individual components. Shifting the spotlight to “Control, Optimization & Flight State Measurement”, Part II combines one chapter on measurement techniques with five chapters on control of kite and ground stations, and two chapters on optimization. Part III on “Concept Design & Analysis” includes three chapters that present and analyze novel harvesting concepts as well as two chapters on system component design. Part IV, which centers on “Implemented Concepts”, presents five chapters on established system concepts and one chapter about a subsystem for automatic launching and landing of kites. In closing, Part V focuses with four chapters on “Technology Deployment” related to market and financing strategies, as well as on regulation and the environment. The book builds on the success of the first volume “Airborne Wind Energy” (Springer, 2013), and offers a self-contained reference guide for researchers, scientists, professionals and students. The respective chapters were contributed by a broad variety of authors: academics, practicing engineers and inventors, all of whom are experts in their respective fields.

Maintenance, Replacement, and Reliability

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Publisher : CRC Press
ISBN 13 : 042966446X
Total Pages : 419 pages
Book Rating : 4.4/5 (296 download)

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Book Synopsis Maintenance, Replacement, and Reliability by : Andrew K. S. Jardine

Download or read book Maintenance, Replacement, and Reliability written by Andrew K. S. Jardine and published by CRC Press. This book was released on 2021-09-15 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the publication of the second edition in 2013, there has been an increasing interest in asset management globally, as evidenced by a series of international standards on asset management systems, to achieve excellence in asset management. This cannot be achieved without high-quality data and the tools for data interpretation. The importance of such requirements is widely recognized by industry. The third edition of this textbook focuses on tools for physical asset management decisions that are data driven. It also uses a theoretical foundation to the tools (mathematical models) that can be used to optimize a variety of key maintenance/replacement/reliability decisions. Problem sets with answers are provided at the end of each chapter. Also available is an extensive set of PowerPoint slides and a solutions manual upon request with qualified textbook adoptions. This new edition can be used in undergraduate or post-graduate courses on physical asset management.

Renewable Energy Forecasting

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Publisher : Woodhead Publishing
ISBN 13 : 0081005059
Total Pages : 388 pages
Book Rating : 4.0/5 (81 download)

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Book Synopsis Renewable Energy Forecasting by : Georges Kariniotakis

Download or read book Renewable Energy Forecasting written by Georges Kariniotakis and published by Woodhead Publishing. This book was released on 2017-09-29 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Renewable Energy Forecasting: From Models to Applications provides an overview of the state-of-the-art of renewable energy forecasting technology and its applications. After an introduction to the principles of meteorology and renewable energy generation, groups of chapters address forecasting models, very short-term forecasting, forecasting of extremes, and longer term forecasting. The final part of the book focuses on important applications of forecasting for power system management and in energy markets. Due to shrinking fossil fuel reserves and concerns about climate change, renewable energy holds an increasing share of the energy mix. Solar, wind, wave, and hydro energy are dependent on highly variable weather conditions, so their increased penetration will lead to strong fluctuations in the power injected into the electricity grid, which needs to be managed. Reliable, high quality forecasts of renewable power generation are therefore essential for the smooth integration of large amounts of solar, wind, wave, and hydropower into the grid as well as for the profitability and effectiveness of such renewable energy projects. - Offers comprehensive coverage of wind, solar, wave, and hydropower forecasting in one convenient volume - Addresses a topic that is growing in importance, given the increasing penetration of renewable energy in many countries - Reviews state-of-the-science techniques for renewable energy forecasting - Contains chapters on operational applications

Blade-Pitch Control for Wind Turbine Load Reductions

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Publisher : Springer
ISBN 13 : 3319755323
Total Pages : 193 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Blade-Pitch Control for Wind Turbine Load Reductions by : Wai Hou (Alan) Lio

Download or read book Blade-Pitch Control for Wind Turbine Load Reductions written by Wai Hou (Alan) Lio and published by Springer. This book was released on 2018-03-01 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink

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Publisher : John Wiley & Sons
ISBN 13 : 1118339444
Total Pages : 369 pages
Book Rating : 4.1/5 (183 download)

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Book Synopsis PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink by : Liuping Wang

Download or read book PID and Predictive Control of Electrical Drives and Power Converters using MATLAB / Simulink written by Liuping Wang and published by John Wiley & Sons. This book was released on 2015-03-02 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: A timely introduction to current research on PID and predictive control by one of the leading authors on the subject PID and Predictive Control of Electric Drives and Power Supplies using MATLAB/Simulink examines the classical control system strategies, such as PID control, feed-forward control and cascade control, which are widely used in current practice. The authors share their experiences in actual design and implementation of the control systems on laboratory test-beds, taking the reader from the fundamentals through to more sophisticated design and analysis. The book contains sections on closed-loop performance analysis in both frequency domain and time domain, presented to help the designer in selection of controller parameters and validation of the control system. Continuous-time model predictive control systems are designed for the drives and power supplies, and operational constraints are imposed in the design. Discrete-time model predictive control systems are designed based on the discretization of the physical models, which will appeal to readers who are more familiar with sampled-data control system. Soft sensors and observers will be discussed for low cost implementation. Resonant control of the electric drives and power supply will be discussed to deal with the problems of bias in sensors and unbalanced three phase AC currents. Brings together both classical control systems and predictive control systems in a logical style from introductory through to advanced levels Demonstrates how simulation and experimental results are used to support theoretical analysis and the proposed design algorithms MATLAB and Simulink tutorials are given in each chapter to show the readers how to take the theory to applications. Includes MATLAB and Simulink software using xPC Target for teaching purposes A companion website is available Researchers and industrial engineers; and graduate students on electrical engineering courses will find this a valuable resource.

Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering

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Publisher : IGI Global
ISBN 13 : 1522547673
Total Pages : 644 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering by : Kim, Dookie

Download or read book Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering written by Kim, Dookie and published by IGI Global. This book was released on 2018-06-15 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas such as artificial intelligence. Obtaining quality solutions to the problems presented becomes increasingly difficult due to the number of steps required to sift through the possible solutions, and the ability to solve such problems relies on the recognition of patterns and the categorization of data into specific sets. Predictive modeling and optimization methods allow unknown events to be categorized based on statistics and classifiers input by researchers. The Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering is a critical reference source that provides comprehensive information on the use of optimization techniques and predictive models to solve real-life engineering and science problems. Through discussions on techniques such as robust design optimization, water level prediction, and the prediction of human actions, this publication identifies solutions to developing problems and new solutions for existing problems, making this publication a valuable resource for engineers, researchers, graduate students, and other professionals.

Sustainability in Energy and Buildings

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Publisher : Springer Science & Business Media
ISBN 13 : 3642275095
Total Pages : 640 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Sustainability in Energy and Buildings by : Nacer M'Sirdi

Download or read book Sustainability in Energy and Buildings written by Nacer M'Sirdi and published by Springer Science & Business Media. This book was released on 2012-01-15 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Welcome to the proceedings of the Third International Conference on Sustainability in Energy and Buildings, SEB’11, held in Marseilles in France, organised by the Laboratoire des Sciences del'Information et des Systèmes (LSIS) in Marseille, France in partnership with KES International. SEB'11 formed a welcome opportunity for researchers in subjects related to sustainability, renewable energy technology, and applications in the built environment to mix with other scientists, industrialists and stakeholders in the field. The conference featured presentations on a range of renewable energy and sustainability related topics. In addition the conference explored two innovative themes: the application of intelligent sensing, control, optimisation and modelling techniques to sustainability and the technology of sustainable buildings. These two themes combine synergetically to address issues relating to The Intelligent Building. SEB’11 attracted a significant number of submissions from around the world. These were subjected to a two-stage blind peer-review process. With the objective of producing a high-quality conference, only the best 50 or so of these were selected for presentation at the conference and publication in the proceedings. It is hoped that you will find this volume an interesting, informative and useful resource for your research.

Renewable Energy: Forecasting and Risk Management

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Publisher : Springer
ISBN 13 : 3319990527
Total Pages : 252 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Renewable Energy: Forecasting and Risk Management by : Philippe Drobinski

Download or read book Renewable Energy: Forecasting and Risk Management written by Philippe Drobinski and published by Springer. This book was released on 2018-12-27 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Remote Sensing of Atmospheric Conditions for Wind Energy Applications

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Publisher : MDPI
ISBN 13 : 3038979422
Total Pages : 290 pages
Book Rating : 4.0/5 (389 download)

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Book Synopsis Remote Sensing of Atmospheric Conditions for Wind Energy Applications by : Charlotte Bay Hasager

Download or read book Remote Sensing of Atmospheric Conditions for Wind Energy Applications written by Charlotte Bay Hasager and published by MDPI. This book was released on 2019-05-24 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Special Issue “Atmospheric Conditions for Wind Energy Applications” hosts papers on aspects of remote sensing for atmospheric conditions for wind energy applications. Wind lidar technology is presented from a theoretical view on the coherent focused Doppler lidar principles. Furthermore, wind lidar for applied use for wind turbine control, wind farm wake, and gust characterizations is presented, as well as methods to reduce uncertainty when using lidar in complex terrain. Wind lidar observations are used to validate numerical model results. Wind Doppler lidar mounted on aircraft used for observing winds in hurricane conditions and Doppler radar on the ground used for very short-term wind forecasting are presented. For the offshore environment, floating lidar data processing is presented as well as an experiment with wind-profiling lidar on a ferry for model validation. Assessments of wind resources in the coastal zone using wind-profiling lidar and global wind maps using satellite data are presented.

Future of wind

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Publisher : International Renewable Energy Agency (IRENA)
ISBN 13 : 9292601970
Total Pages : 161 pages
Book Rating : 4.2/5 (926 download)

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Book Synopsis Future of wind by : International Renewable Energy Agency IRENA

Download or read book Future of wind written by International Renewable Energy Agency IRENA and published by International Renewable Energy Agency (IRENA). This book was released on 2019-10-01 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study presents options to speed up the deployment of wind power, both onshore and offshore, until 2050. It builds on IRENA’s global roadmap to scale up renewables and meet climate goals.

Advances in Wind Power

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Author :
Publisher : BoD – Books on Demand
ISBN 13 : 9535108638
Total Pages : 378 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Advances in Wind Power by : Rupp Carriveau

Download or read book Advances in Wind Power written by Rupp Carriveau and published by BoD – Books on Demand. This book was released on 2012-11-21 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today's wind energy industry is at a crossroads. Global economic instability has threatened or eliminated many financial incentives that have been important to the development of specific markets. Now more than ever, this essential element of the world energy mosaic will require innovative research and strategic collaborations to bolster the industry as it moves forward. This text details topics fundamental to the efficient operation of modern commercial farms and highlights advanced research that will enable next-generation wind energy technologies. The book is organized into three sections, Inflow and Wake Influences on Turbine Performance, Turbine Structural Response, and Power Conversion, Control and Integration. In addition to fundamental concepts, the reader will be exposed to comprehensive treatments of topics like wake dynamics, analysis of complex turbine blades, and power electronics in small-scale wind turbine systems.