Engineering Methods And Data Science For Wind Energy

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Data Science for Wind Energy

Author : Yu Ding
Publisher : CRC Press
ISBN 13 : 9780367729097
Total Pages : 0 pages
Book Rating : 4.7/5 (29 download)

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Book Synopsis Data Science for Wind Energy by : Yu Ding

Download or read book Data Science for Wind Energy written by Yu Ding and published by CRC Press. This book was released on 2020-12-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including time series models, spatio-temporal analysis, kernel regression, decision trees, kNN, splines, Bayesian inference, and importance sampling. More importantly, the data science methods are described in the context of wind energy applications, with specific wind energy examples and case studies. Please also visit the author's book site at https://aml.engr.tamu.edu/book-dswe. Features Provides an integral treatment of data science methods and wind energy applications Includes specific demonstration of particular data science methods and their use in the context of addressing wind energy needs Presents real data, case studies and computer codes from wind energy research and industrial practice Covers material based on the author's ten plus years of academic research and insights

Data Science for Wind Energy

Author : Yu Ding
Publisher : CRC Press
ISBN 13 : 0429956517
Total Pages : 400 pages
Book Rating : 4.4/5 (299 download)

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Book Synopsis Data Science for Wind Energy by : Yu Ding

Download or read book Data Science for Wind Energy written by Yu Ding and published by CRC Press. This book was released on 2019-06-04 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for Wind Energy provides an in-depth discussion on how data science methods can improve decision making for wind energy applications, near-ground wind field analysis and forecast, turbine power curve fitting and performance analysis, turbine reliability assessment, and maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including time series models, spatio-temporal analysis, kernel regression, decision trees, kNN, splines, Bayesian inference, and importance sampling. More importantly, the data science methods are described in the context of wind energy applications, with specific wind energy examples and case studies. Please also visit the author’s book site at https://aml.engr.tamu.edu/book-dswe. Features Provides an integral treatment of data science methods and wind energy applications Includes specific demonstration of particular data science methods and their use in the context of addressing wind energy needs Presents real data, case studies and computer codes from wind energy research and industrial practice Covers material based on the author's ten plus years of academic research and insights

Machine Learning and Data Science in the Power Generation Industry

Author : Patrick Bangert
Publisher : Elsevier
ISBN 13 : 0128226005
Total Pages : 276 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Machine Learning and Data Science in the Power Generation Industry by : Patrick Bangert

Download or read book Machine Learning and Data Science in the Power Generation Industry written by Patrick Bangert and published by Elsevier. This book was released on 2021-01-14 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study–driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting. - Provides best practices on how to design and set up ML projects in power systems, including all nontechnological aspects necessary to be successful - Explores implementation pathways, explaining key ML algorithms and approaches as well as the choices that must be made, how to make them, what outcomes may be expected, and how the data must be prepared for them - Determines the specific data needs for the collection, processing, and operationalization of data within machine learning algorithms for power systems - Accompanied by numerous supporting real-world case studies, providing practical evidence of both best practices and potential pitfalls

Wind Energy Explained

Author : James F. Manwell
Publisher : John Wiley & Sons
ISBN 13 : 9780470686287
Total Pages : 704 pages
Book Rating : 4.6/5 (862 download)

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Book Synopsis Wind Energy Explained by : James F. Manwell

Download or read book Wind Energy Explained written by James F. Manwell and published by John Wiley & Sons. This book was released on 2010-09-14 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wind energy’s bestselling textbook- fully revised. This must-have second edition includes up-to-date data, diagrams, illustrations and thorough new material on: the fundamentals of wind turbine aerodynamics; wind turbine testing and modelling; wind turbine design standards; offshore wind energy; special purpose applications, such as energy storage and fuel production. Fifty additional homework problems and a new appendix on data processing make this comprehensive edition perfect for engineering students. This book offers a complete examination of one of the most promising sources of renewable energy and is a great introduction to this cross-disciplinary field for practising engineers. “provides a wealth of information and is an excellent reference book for people interested in the subject of wind energy.” (IEEE Power & Energy Magazine, November/December 2003) “deserves a place in the library of every university and college where renewable energy is taught.” (The International Journal of Electrical Engineering Education, Vol.41, No.2 April 2004) “a very comprehensive and well-organized treatment of the current status of wind power.” (Choice, Vol. 40, No. 4, December 2002)

Wind Energy Systems

Author : Mario Garcia-Sanz
Publisher : CRC Press
ISBN 13 : 1466552247
Total Pages : 613 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Wind Energy Systems by : Mario Garcia-Sanz

Download or read book Wind Energy Systems written by Mario Garcia-Sanz and published by CRC Press. This book was released on 2012-02-02 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting the latest developments in the field, Wind Energy Systems: Control Engineering Design offers a novel take on advanced control engineering design techniques for wind turbine applications. The book introduces concurrent quantitative engineering techniques for the design of highly efficient and reliable controllers, which can be used to solve the most critical problems of multi-megawatt wind energy systems. This book is based on the authors’ experience during the last two decades designing commercial multi-megawatt wind turbines and control systems for industry leaders, including NASA and the European Space Agency. This work is their response to the urgent need for a truly reliable concurrent engineering methodology for the design of advanced control systems. Outlining a roadmap for such a coordinated architecture, the authors consider the links between all aspects of a multi-megawatt wind energy project, in which the wind turbine and the control system must be cooperatively designed to achieve an optimized, reliable, and successful system. Look inside for information about the QFT Control Toolbox for Matlab, the software developed by the author to facilitate the QFT robust control design (see also the link at codypower.com). The textbook’s big-picture insights can help students and practicing engineers control and optimize a wind energy system, in which large, flexible, aerodynamic structures are connected to a demanding variable electrical grid and work automatically under very turbulent and unpredictable environmental conditions. The book covers topics including robust QFT control, aerodynamics, mechanical and electrical dynamic modeling, economics, reliability, and efficiency. It also addresses standards, certification, implementation, grid integration, and power quality, as well as environmental and maintenance issues. To reinforce understanding, the authors present real examples of experimentation with commercial multi-megawatt direct-drive wind turbines, as well as on-shore, offshore, floating, and airborne wind turbine applications. They also offer a unique in-depth exploration of the quantitative feedback theory (QFT)—a proven, successful robust control technique for real-world applications—as well as advanced switching control techniques that help engineers exceed classical linear limitations.

Wind Energy

Author : Mathew Sathyajith
Publisher : Springer Science & Business Media
ISBN 13 : 3540309063
Total Pages : 253 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Wind Energy by : Mathew Sathyajith

Download or read book Wind Energy written by Mathew Sathyajith and published by Springer Science & Business Media. This book was released on 2006-03-14 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: Growing energy demand and environmental consciousness have re-evoked human interest in wind energy. As a result, wind is the fastest growing energy source in the world today. Policy frame works and action plans have already been for- lated at various corners for meeting at least 20 per cent of the global energy - mand with new-renewables by 2010, among which wind is going to be the major player. In view of the rapid growth of wind industry, Universities, all around the world, have given due emphasis to wind energy technology in their undergraduate and graduate curriculum. These academic programmes attract students from diver- fied backgrounds, ranging from social science to engineering and technology. Fundamentals of wind energy conversion, which is discussed in the preliminary chapters of this book, have these students as the target group. Advanced resource analysis tools derived and applied are beneficial to academics and researchers working in this area. The Wind Energy Resource Analysis (WERA) software, provided with the book, is an effective tool for wind energy practitioners for - sessing the energy potential and simulating turbine performance at prospective sites.

Data Science in Engineering Vol. 10

Author : Thomas Matarazzo
Publisher : Springer Nature
ISBN 13 : 3031681428
Total Pages : 140 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Data Science in Engineering Vol. 10 by : Thomas Matarazzo

Download or read book Data Science in Engineering Vol. 10 written by Thomas Matarazzo and published by Springer Nature. This book was released on with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fault Diagnosis and Sustainable Control of Wind Turbines

Author : Silvio Simani
Publisher : Butterworth-Heinemann
ISBN 13 : 0128129859
Total Pages : 230 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Fault Diagnosis and Sustainable Control of Wind Turbines by : Silvio Simani

Download or read book Fault Diagnosis and Sustainable Control of Wind Turbines written by Silvio Simani and published by Butterworth-Heinemann. This book was released on 2018-01-02 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fault Diagnosis and Sustainable Control of Wind Turbines: Robust Data-Driven and Model-Based Strategies discusses the development of reliable and robust fault diagnosis and fault-tolerant ('sustainable') control schemes by means of data-driven and model-based approaches. These strategies are able to cope with unknown nonlinear systems and noisy measurements. The book also discusses simpler solutions relying on data-driven and model-based methodologies, which are key when on-line implementations are considered for the proposed schemes. The book targets both professional engineers working in industry and researchers in academic and scientific institutions. In order to improve the safety, reliability and efficiency of wind turbine systems, thus avoiding expensive unplanned maintenance, the accommodation of faults in their early occurrence is fundamental. To highlight the potential of the proposed methods in real applications, hardware–in–the–loop test facilities (representing realistic wind turbine systems) are considered to analyze the digital implementation of the designed solutions. The achieved results show that the developed schemes are able to maintain the desired performances, thus validating their reliability and viability in real-time implementations. Different groups of readers—ranging from industrial engineers wishing to gain insight into the applications' potential of new fault diagnosis and sustainable control methods, to the academic control community looking for new problems to tackle—will find much to learn from this work. - Provides wind turbine models with varying complexity, as well as the solutions proposed and developed by the authors - Addresses in detail the design, development and realistic implementation of fault diagnosis and fault tolerant control strategies for wind turbine systems - Addresses the development of sustainable control solutions that, in general, do not require the introduction of further or redundant measurements - Proposes active fault tolerant ('sustainable') solutions that are able to maintain the wind turbine working conditions with gracefully degraded performance before required maintenance can occur - Presents full coverage of the diagnosis and fault tolerant control problem, starting from the modeling and identification and finishing with diagnosis and fault tolerant control approaches - Provides MATLAB and Simulink codes for the solutions proposed

Sustainable Statistical and Data Science Methods and Practices

Author : O. Olawale Awe
Publisher : Springer Nature
ISBN 13 : 3031413520
Total Pages : 433 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Sustainable Statistical and Data Science Methods and Practices by : O. Olawale Awe

Download or read book Sustainable Statistical and Data Science Methods and Practices written by O. Olawale Awe and published by Springer Nature. This book was released on 2024-01-05 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2–6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike. The LISA 2020 Global Network aims to enhance statistical and data science capability in developing countries through the creation of a network of collaboration laboratories (also known as “stat labs”). These stat labs are intended to serve as engines for development by training the next generation of collaborative statisticians and data scientists, providing research infrastructure for researchers, data producers, and decision-makers, and enabling evidence-based decision-making that has a positive impact on society. The research conducted at LISA 2020 focuses on practical methods and applications for sustainable growth of statistical capacity in developing nations.

IoT and Data Science in Engineering Management

Author : Fausto Pedro García Márquez
Publisher : Springer Nature
ISBN 13 : 3031279158
Total Pages : 551 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis IoT and Data Science in Engineering Management by : Fausto Pedro García Márquez

Download or read book IoT and Data Science in Engineering Management written by Fausto Pedro García Márquez and published by Springer Nature. This book was released on 2023-03-24 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the selected research works from the 16th International Conference on Industrial Engineering and Industrial Management in 2022. The conference was promoted by ADINGOR (Asociación para el Desarrollo de la Ingeniería de Organización), organized by Ingenium Research Group at Universidad de Castilla-La Mancha, Spain, and it took place on July 7th and 8th, 2022, in Toledo, Spain. The book highlights some of the latest research advances and cutting-edge analyses of real-world case studies on Industrial Engineering and Industrial Management from a wide range of international contexts. It also identifies business applications and the latest findings and innovations in Operations Management and in Decision Sciences.

Data Science

Author : Beiji Zou
Publisher : Springer
ISBN 13 : 9811063885
Total Pages : 612 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Data Science by : Beiji Zou

Download or read book Data Science written by Beiji Zou and published by Springer. This book was released on 2017-09-15 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set (CCIS 727 and 728) constitutes the refereed proceedings of the Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017 (originally ICYCSEE) held in Changsha, China, in September 2017. The 112 revised full papers presented in these two volumes were carefully reviewed and selected from 987 submissions. The papers cover a wide range of topics related to Basic Theory and Techniques for Data Science including Mathematical Issues in Data Science, Computational Theory for Data Science, Big Data Management and Applications, Data Quality and Data Preparation, Evaluation and Measurement in Data Science, Data Visualization, Big Data Mining and Knowledge Management, Infrastructure for Data Science, Machine Learning for Data Science, Data Security and Privacy, Applications of Data Science, Case Study of Data Science, Multimedia Data Management and Analysis, Data-driven Scientific Research, Data-driven Bioinformatics, D ata-driven Healthcare, Data-driven Management, Data-driven eGovernment, Data-driven Smart City/Planet, Data Marketing and Economics, Social Media and Recommendation Systems, Data-driven Security, Data-driven Business Model Innovation, Social and/or organizational impacts of Data Science.

Wind Energy Engineering

Author : Trevor Letcher
Publisher : Elsevier
ISBN 13 : 0323958303
Total Pages : 588 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Wind Energy Engineering by : Trevor Letcher

Download or read book Wind Energy Engineering written by Trevor Letcher and published by Elsevier. This book was released on 2023-05-08 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wind Energy Engineering: A Handbook for Onshore and Offshore Wind Turbines, Second Edition continues to be the most advanced, up-to-date and research-focused text on all aspects of wind energy engineering. Covering a wider spectrum of topics in the field of wind turbines (offshore and onshore), this new edition includes new intelligent turbine designs and optimization, current challenges and efficiencies, remote sensing and smart monitoring, and key areas of advancement, such as floating wind turbines. Each chapter includes a research overview with a detailed analysis and new case studies looking at how recent research developments can be applied. Written by some of the most forward-thinking professionals in the field, and giving a complete examination of one of the most promising and efficient sources of renewable energy, this book is an invaluable reference into this cross-disciplinary field for engineers. - Offers an all-around understanding of the links between worldwide resources, including wind turbine technology, electricity and environmental issues, and economics - Provide the very latest research and development in over 33 fields of endeavor related to wind power - Includes extensive sets of references in each chapter, giving readers all the very latest thinking and information on each topic

Wind Energy Engineering

Author : Pramod Jain
Publisher : McGraw Hill Professional
ISBN 13 : 0071714782
Total Pages : 352 pages
Book Rating : 4.0/5 (717 download)

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Book Synopsis Wind Energy Engineering by : Pramod Jain

Download or read book Wind Energy Engineering written by Pramod Jain and published by McGraw Hill Professional. This book was released on 2010-09-22 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: A PRACTICAL GUIDE TO WIND ENERGY ENGINEERING AND MANAGEMENT This authoritative resource offers comprehensive details on effectively using wind energy as a viable and economical energy source. Featuring a multidisciplinary approach, Wind Energy Engineering covers physics, meteorology, aerodynamics. wind measurement, wind turbine specifications, electricity, and integration with the grid. Planning, site selection, cost assessment, environmental impact, and project management are also discussed. Filled with diagrams, tables, charts, graphs, and statistics, this is a definitive reference to current and future developments in wind energy. Wind Energy Engineering covers: The business of wind energy worldwide Wind energy basics Meteorological properties of wind and air Aerodynamics of wind turbine blades Wind measurement, data management, and reporting Wind resource assessment Advanced topics in resource assessment, including wake, losses, and uncertainty Wind turbine generator components Electricity and generator basics Deploying wind turbines in the grid Environmental impact of wind projects Financial modeling, planning, and execution of wind projects

Advanced Data Analytics for Power Systems

Author : Ali Tajer
Publisher : Cambridge University Press
ISBN 13 : 1108494757
Total Pages : 601 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Advanced Data Analytics for Power Systems by : Ali Tajer

Download or read book Advanced Data Analytics for Power Systems written by Ali Tajer and published by Cambridge University Press. This book was released on 2021-04-08 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: Experts in data analytics and power engineering present techniques addressing the needs of modern power systems, covering theory and applications related to power system reliability, efficiency, and security. With topics spanning large-scale and distributed optimization, statistical learning, big data analytics, graph theory, and game theory, this is an essential resource for graduate students and researchers in academia and industry with backgrounds in power systems engineering, applied mathematics, and computer science.

Electricity Generation Using Wind Power (Second Edition)

Author : William Shepherd
Publisher : World Scientific
ISBN 13 : 9813148675
Total Pages : 298 pages
Book Rating : 4.8/5 (131 download)

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Book Synopsis Electricity Generation Using Wind Power (Second Edition) by : William Shepherd

Download or read book Electricity Generation Using Wind Power (Second Edition) written by William Shepherd and published by World Scientific. This book was released on 2017-01-05 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is wind power the answer to our energy supply problems? Is there enough wind for everyone? Is offshore generation better than onshore generation? Can a roof-mounted wind turbine generate enough electricity to supply a typical domestic household?Electricity Generation Using Wind Power (2nd Edition) answers these pressing questions through its detailed coverage of the different types of electrical generator machines used, as well as the power electronic converter technologies and control principles employed. Also covered is the integration of wind farms into established electricity grid systems, plus environmental and economic aspects of wind generation.Written for technically minded readers, especially electrical engineers concerned with the possible use of wind power for generating electricity, it incorporates some global meteorological and geographical features of wind supply plus a survey of past and present wind turbines. Included is a technical assessment of the choice of turbine sites. The principles and analysis of wind power conversion, transmission and efficiency evaluation are described.This book includes worked numerical examples in some chapters, plus end of chapter problems and review questions, with answers. As a textbook it is pitched at the level of final year undergraduate engineering study but may also be useful as a textbook or reference for wider technical studies.

Handbook of Wind Energy Aerodynamics

Author : Bernhard Stoevesandt
Publisher : Springer Nature
ISBN 13 : 3030313077
Total Pages : 1495 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Handbook of Wind Energy Aerodynamics by : Bernhard Stoevesandt

Download or read book Handbook of Wind Energy Aerodynamics written by Bernhard Stoevesandt and published by Springer Nature. This book was released on 2022-08-04 with total page 1495 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides both a comprehensive overview and deep insights on the state-of-the-art methods used in wind turbine aerodynamics, as well as their advantages and limits. The focus of this work is specifically on wind turbines, where the aerodynamics are different from that of other fields due to the turbulent wind fields they face and the resultant differences in structural requirements. It gives a complete picture of research in the field, taking into account the different approaches which are applied. This book would be useful to professionals, academics, researchers and students working in the field.

Remote Sensing of Atmospheric Conditions for Wind Energy Applications

Author : Charlotte Bay Hasager
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.