Wind Turbine Tech Challenge
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
CHAPTER 7 Design and Development of Small Wind Turbines
CHAPTER 7 Design and development of small wind turbines Lawrence Staudt Center for Renewable Energy, Dundalk Institute of Technology, Ireland. For the purposes of this chapter, “small” wind turbines will be defi ned as those with a power rating of 50 kW or less (approximately 15 m rotor diameter). Small electricity-generating wind turbines have been in existence since the early 1900s, having been particularly popular for providing power for dwellings not yet con- nected to national electricity grids. These turbines largely disappeared as rural electrifi cation took place, and have primarily been used for remote power until recently. The oil crisis of the 1970s led to a resurgence in small wind technology, including the new concept of grid-connected small wind technology. There are few small wind turbine manufacturers with a track record spanning more than a decade. This can be attributed to diffi cult market conditions and nascent technol- ogy. However, the technology is becoming more mature, energy prices are rising and public awareness of renewable energy is increasing. There are now many small wind turbine companies around the world who are addressing the growing market for both grid-connected and remote power applications. The design fea- tures of small wind turbines, while similar to large wind turbines, often differ in signifi cant ways. 1 Small wind technology Technological approaches taken for the various components of a small wind turbine will be examined: the rotor, the drivetrain, the electrical systems and the tower. Of course wind turbines must be designed as a system, and so rotor design affects drivetrain design which affects control system design, etc. -
Elevated Opportunities for the South with Improved Turbines and Reduced Costs, Wind Farms the South Is a New Frontier for the Wind Industry
Southern Alliance for Clean Energy October 2014 Advanced Wind Technology Expanded Potential Elevated Opportunities for the South With improved turbines and reduced costs, wind farms The South is a new frontier for the wind industry. now make economic sense in all states across the Advanced wind turbine technology and reduced costs South. Using currently available wind turbine have expanded the resource potential and have made technology, over 134,000 megawatts (MW) of wind wind energy economically feasible in more places in the potential exists within the region - about half as much Southern United States. of the total installed electric utility capacity. Megawatts of Onshore Wind Potential Improved Turbines The biggest changes in wind turbine technology over the past five years include taller turbines and longer blades. Just five years ago, wind turbines with a hub height of 80 meters (about 260 feet) and blade lengths of 40 meters (about 130 feet) were fairly standard. Taller turbines reach stronger, more consistent wind speeds. Hub heights of up to 140 meters (460 feet) are now available for wind farm developers. Longer blades are capable of capturing more wind, thus harnessing slower wind speeds. Blades are now available over 55 meters (180 feet) in length. Reduced Costs Wind energy is now one of the least expensive sources of new power generation in the country. Costs have Source: Adapted from National Renewable Energy Lab 2013 declined by 39% over the past decade for wind speed As can be seen in the chart above, all states in the areas averaging 6 meters per second. This reduced cost particularly applies to the Southeast, a region with South now contain substantial onshore wind energy typically lower wind speeds. -
Public Opinion and the Environmental, Economic and Aesthetic Impacts of Offshore Wind
Public Opinion and the Environmental, Economic and Aesthetic Impacts of Offshore Wind * Drew Busha,b , Porter Hoaglandb a Dept. of Geography and McGill School of Environment, McGill University, Montreal, QC, H3A0B9, Canada1 b Marine Policy Center, Woods Hole Oceanographic Institution, Woods Hole, MA, 02543, USA E-mail addresses: [email protected]; [email protected] * Corresponding Author for all stages: Drew Bush, (202)640-0333 1 Permanent/Present Address: Drew Bush, PO Box 756, 17 Becker Lane, New Castle, NH 03854 Bush D. & Hoagland, P. 1 Highlights • Early Cape Wind advocates and opposition use impacts to sway uninformed public. • “Extremist" arguments perpetuate uncertainties about impacts in public's mind. • Expert elicitation compares stakeholder understandings of impacts with scientists. • We find "non-extremist" stakeholder attitudes converge with scientists over time. • We hypothesize scientific education at outset may improve planning process. Abstract During ten-plus years of debate over the proposed Cape Wind facility off Cape Cod, Massachusetts, the public’s understanding of its environmental, economic, and visual impacts matured. Tradeoffs also have become apparent to scientists and decision-makers during two environmental impact statement reviews and other stakeholder processes. Our research aims to show how residents’ opinions changed during the debate over this first- of-its-kind project in relation to understandings of project impacts. Our methods included an examination of public opinion polls and the refereed literature that traces public attitudes and knowledge about Cape Wind. Next we conducted expert elicitations to compare trends with the level of understanding held by small groups of scientists and Cape Cod stakeholders. -
Implementation and Validation of an Advanced Wind Energy Controller in Aero-Servo-Elastic Simulations Using the Lifting Line Free Vortex Wake Model
energies Article Implementation and Validation of an Advanced Wind Energy Controller in Aero-Servo-Elastic Simulations Using the Lifting Line Free Vortex Wake Model Sebastian Perez-Becker *, David Marten, Christian Navid Nayeri and Christian Oliver Paschereit Chair of Fluid Dynamics, Hermann Föttinger Institute, Technische Universität Berlin, Müller-Breslau-Str. 8, 10623 Berlin, Germany; [email protected] (D.M.); [email protected] (C.N.N.); [email protected] (C.O.P.) * Correspondence: [email protected] Abstract: Accurate and reproducible aeroelastic load calculations are indispensable for designing modern multi-MW wind turbines. They are also essential for assessing the load reduction capabilities of advanced wind turbine control strategies. In this paper, we contribute to this topic by introducing the TUB Controller, an advanced open-source wind turbine controller capable of performing full load calculations. It is compatible with the aeroelastic software QBlade, which features a lifting line free vortex wake aerodynamic model. The paper describes in detail the controller and includes a validation study against an established open-source controller from the literature. Both controllers show comparable performance with our chosen metrics. Furthermore, we analyze the advanced load reduction capabilities of the individual pitch control strategy included in the TUB Controller. Turbulent wind simulations with the DTU 10 MW Reference Wind Turbine featuring the individual pitch control strategy show a decrease in the out-of-plane and torsional blade root bending moment fatigue loads of 14% and 9.4% respectively compared to a baseline controller. Citation: Perez-Becker, S.; Marten, D.; Nayeri, C.N.; Paschereit, C.O. -
Planning for Wind Energy
Planning for Wind Energy Suzanne Rynne, AICP , Larry Flowers, Eric Lantz, and Erica Heller, AICP , Editors American Planning Association Planning Advisory Service Report Number 566 Planning for Wind Energy is the result of a collaborative part- search intern at APA; Kirstin Kuenzi is a research intern at nership among the American Planning Association (APA), APA; Joe MacDonald, aicp, was program development se- the National Renewable Energy Laboratory (NREL), the nior associate at APA; Ann F. Dillemuth, aicp, is a research American Wind Energy Association (AWEA), and Clarion associate and co-editor of PAS Memo at APA. Associates. Funding was provided by the U.S. Department The authors thank the many other individuals who con- of Energy under award number DE-EE0000717, as part of tributed to or supported this project, particularly the plan- the 20% Wind by 2030: Overcoming the Challenges funding ners, elected officials, and other stakeholders from case- opportunity. study communities who participated in interviews, shared The report was developed under the auspices of the Green documents and images, and reviewed drafts of the case Communities Research Center, one of APA’s National studies. Special thanks also goes to the project partners Centers for Planning. The Center engages in research, policy, who reviewed the entire report and provided thoughtful outreach, and education that advance green communities edits and comments, as well as the scoping symposium through planning. For more information, visit www.plan- participants who worked with APA and project partners to ning.org/nationalcenters/green/index.htm. APA’s National develop the outline for the report: James Andrews, utilities Centers for Planning conduct policy-relevant research and specialist at the San Francisco Public Utilities Commission; education involving community health, natural and man- Jennifer Banks, offshore wind and siting specialist at AWEA; made hazards, and green communities. -
The Prediction Model of Characteristics for Wind Turbines Based on Meteorological Properties Using Neural Network Swarm Intelligence
sustainability Article The Prediction Model of Characteristics for Wind Turbines Based on Meteorological Properties Using Neural Network Swarm Intelligence Tugce Demirdelen 1 , Pırıl Tekin 2,* , Inayet Ozge Aksu 3 and Firat Ekinci 4 1 Department of Electrical and Electronics Engineering, Adana Alparslan Turkes Science and Technology University, 01250 Adana, Turkey 2 Department of Industrial Engineering, Adana Alparslan Turkes Science and Technology University, 01250 Adana, Turkey 3 Department of Computer Engineering, Adana Alparslan Turkes Science and Technology University, 01250 Adana, Turkey 4 Department of Energy Systems Engineering, Adana Alparslan Turkes Science and Technology University, 01250 Adana, Turkey * Correspondence: [email protected]; Tel.: +90-322-455-0000 (ext. 2411) Received: 17 July 2019; Accepted: 29 August 2019; Published: 3 September 2019 Abstract: In order to produce more efficient, sustainable-clean energy, accurate prediction of wind turbine design parameters provide to work the system efficiency at the maximum level. For this purpose, this paper appears with the aim of obtaining the optimum prediction of the turbine parameter efficiently. Firstly, the motivation to achieve an accurate wind turbine design is presented with the analysis of three different models based on artificial neural networks comparatively given for maximum energy production. It is followed by the implementation of wind turbine model and hybrid models developed by using both neural network and optimization models. In this study, the ANN-FA hybrid structure model is firstly used and also ANN coefficients are trained by FA to give a new approach in literature for wind turbine parameters’ estimation. The main contribution of this paper is that seven important wind turbine parameters are predicted. -
Wind Power Today, 2010, Wind and Water Power Program
WIND AND WATER POWER PROGRAM Wind Power Today 2010 •• BUILDING•A•CLEAN• ENERGY •ECONOMY •• ADVANCING•WIND• TURBINE •TECHNOLOGY •• SUPPORTING•SYSTEMS•• INTERCONNECTION •• GROWING•A•LARGER• MARKET 2 WIND AND WATER POWER PROGRAM BUILDING•A•CLEAN•ENERGY•ECONOMY The mission of the U.S. Department of Energy Wind Program is to focus the passion, ingenuity, and diversity of the nation to enable rapid expansion of clean, affordable, reliable, domestic wind power to promote national security, economic vitality, and environmental quality. Built in 2009, the 63-megawatt Dry Lake Wind Power Project is Arizona’s first utility-scale wind power project. Building•a•Green•Economy• In 2009, more wind generation capacity was installed in the United States than in any previous year despite difficult economic conditions. The rapid expansion of the wind industry underscores the potential for wind energy to supply 20% of the nation’s electricity by the year 2030 as envisioned in the 2008 Department of Energy (DOE) report 20% Wind Energy by 2030: Increasing Wind Energy’s Contribution to U.S. Electricity Supply. Funding provided by DOE, the American Recovery and Reinvestment Act CONTENTS of 2009 (Recovery Act), and state and local initiatives have all contributed to the wind industry’s growth and are moving the BUILDING•A•CLEAN•ENERGY•ECONOMY• ........................2 nation toward achieving its energy goals. ADVANCING•LARGE•WIND•TURBINE•TECHNOLOGY• .....7 Wind energy is poised to make a major contribution to the President’s goal of doubling our nation’s electricity generation SMALL •AND•MID-SIZED•TURBINE•DEVELOPMENT• ...... 15 capacity from clean, renewable sources by 2012. The DOE Office of Energy Efficiency and Renewable Energy invests in clean SUPPORTING•GRID•INTERCONNECTION• .................... -
Qblade Guidelines V0.6
QBlade Guidelines v0.6 David Marten Juliane Wendler January 18, 2013 Contact: david.marten(at)tu-berlin.de Contents 1 Introduction 5 1.1 Blade design and simulation in the wind turbine industry . 5 1.2 The software project . 7 2 Software implementation 9 2.1 Code limitations . 9 2.2 Code structure . 9 2.3 Plotting results / Graph controls . 11 3 TUTORIAL: How to create simulations in QBlade 13 4 XFOIL and XFLR/QFLR 29 5 The QBlade 360◦ extrapolation module 30 5.0.1 Basics . 30 5.0.2 Montgomery extrapolation . 31 5.0.3 Viterna-Corrigan post stall model . 32 6 The QBlade HAWT module 33 6.1 Basics . 33 6.1.1 The Blade Element Momentum Method . 33 6.1.2 Iteration procedure . 33 6.2 The blade design and optimization submodule . 34 6.2.1 Blade optimization . 36 6.2.2 Blade scaling . 37 6.2.3 Advanced design . 38 6.3 The rotor simulation submodule . 39 6.4 The multi parameter simulation submodule . 40 6.5 The turbine definition and simulation submodule . 41 6.6 Simulation settings . 43 6.6.1 Simulation Parameters . 43 6.6.2 Corrections . 47 6.7 Simulation results . 52 6.7.1 Data storage and visualization . 52 6.7.2 Variable listings . 53 3 Contents 7 The QBlade VAWT Module 56 7.1 Basics . 56 7.1.1 Method of operation . 56 7.1.2 The Double-Multiple Streamtube Model . 57 7.1.3 Velocities . 59 7.1.4 Iteration procedure . 59 7.1.5 Limitations . 60 7.2 The blade design and optimization submodule . -
Wind Energy Resource Guide: Common Questions and Concerns
2009 WIND ENERGY RESOURCE GUIDE: COMMON QUESTIONS AND CONCERNS WIND ENERGY TASK FORCE OF LAKE COUNTY COMMUNITIES Devon Bank in Wheeling (LEED Gold and going Platinum) 12/21/2009 Page intentionally left blank 1 Table of Contents TYPES OF WIND ENERGY SYSTEMS ......................................................................................................... 5 Building Mounted Wind Energy System (BWES) .............................................................................. 5 Small Wind Energy System (SWES) ................................................................................................... 5 Large Wind Energy System (LWES) ................................................................................................... 6 The Horizontal Axis Wind Turbine .................................................................................................... 7 The Vertical Axis Wind Turbine ......................................................................................................... 7 Type of Wind Energy System Support Towers ................................................................................. 8 Monopole Towers ..................................................................................................................... 8 Tilt-Up Towers ........................................................................................................................... 8 Lattice Towers .......................................................................................................................... -
National Wind Coordinating Committee C/O RESOLVE 1255 23Rd Street, Suite 275 Washington, DC 20037
NuclearRegulatoryCommission Exhibit#-APL000019-00-BD01 Docket#-05200016 Identified:01/26/2012 Admitted:Withdrawn:01/26/2012 Rejected:Stricken: APL000019 10/21/2011 Permitting of Wind Energy Facilities A HANDBOOK REVISED 2002 Prepared by the NWCC Siting Subcommittee August 2002 Acknowledgments Principal Contributors Dick Anderson, California Energy Commission Dick Curry, Curry & Kerlinger, L.L.C. Ed DeMeo, Renewable Energy Consulting Services, Inc. Sam Enfield, Atlantic Renewable Energy Corporation Tom Gray, American Wind Energy Association Larry Hartman, Minnesota Environmental Quality Board Karin Sinclair, National Renewable Energy Laboratory Robert Therkelsen, California Energy Commission Steve Ugoretz, Wisconsin Department of Natural Resources NWCC Siting Subcommittee Contributors Don Bain, Jack Cadogan, Bill Fannucchi, Troy Gagliano, Bill Grant, David Herrick, Albert M. Manville, II, Lee Otteni, Brian Parsons, Heather Rhoads-Weaver, John G. White The NWCC Permitting Handbook authors would also like to acknowledge the contributions of those who worked on the first edition of the Permitting Handbook. Don Bain, Hap Boyd, Manny Castillo, Steve Corneli, Alan Davis, Sam Enfield, Walt George, Paul Gipe, Bill Grant, Judy Grau, Rob Harmon, Lauren Ike, Rick Kiester, Eric Knight, Ron Lehr, Don MacIntyre, Karen Matthews, Joe O’Hagen, Randy Swisher and Robert Therkelsen Handbook compilation, editing and review facilitation provided by Gabe Petlin (formerly with RESOLVE) and Susan Savitt Schwartz, Editor NWCC Logo and Handbook Design Leslie Dunlap, LB Stevens Advertising and Design Handbook Layout and Production Susan Sczepanski and Kathleen O’Dell, National Renewable Energy Laboratory The production of this document was supported, in whole or in part by the Midwest Research Institute, National Renewable Energy Laboratory under the Subcontract YAM-9-29210-01 and the Department of Energy under Prime Contract No. -
Comprehensive Guide to Studying Wind Energy/Wildlife Interactions
Prepared for the National Wind Coordinating Collaborative June 2011 Acknowledgments This report was funded by the Wind and Water Power Program, Office of Energy Efficiency and Renewable Energy of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. The NWCC Wildlife Workgroup thanks Patrick Gilman (U.S. Department of Energy), Karin Sinclair (National Renewable Energy Laboratory), and the Wildlife Workgroup Core Group and blind peer reviewers selected by NREL to review the document on behalf of the Workgroup. Abby Arnold (Kearns & West), Taylor Kennedy (RESOLVE, Inc.), and Lauren Flinn (RESOLVE, Inc.) facilitated the proposal selection process for preparation of the document and the NWCC Wildlife Workgroup document review process. Technical editing provided by Susan Savitt Schwartz, Editor Andrea Palochak, WEST, Inc., Associate Editor Cover design created by Jason Huerta, Bat Conservation International. Cover photo credits - Background: Wind turbines at the Foote Creek Rim Wind Project in Wyoming (photo by Ed Arnett, Bat Conservation International; Insets from right to left: Golden eagle (photo courtesy of iStockphoto LP © 2010), male greater sage grouse (photo courtesy of iStockphoto LP © 2010), hoary bat (photo by Merlin D. Tuttle, Bat Conservation International), mountain bluebird (photo courtesy of WEST Inc.), Rocky Mountain elk (photo courtesy of Puget Sound Energy). Prepared for: National Wind Coordinating Collaborative c/o RESOLVE 1255 23rd Street, Suite 275 Washington, DC 20037 www.nationalwind.org June 2011 COMPREHENSIVE GUIDE TO STUDYING WIND ENERGY/WILDLIFE INTERACTIONS Principal Authors Dale Strickland, WEST, Inc., Cheyenne, Wyoming Edward Arnett, Bat Conservation International, Inc., Austin, Texas Wallace Erickson, WEST, Inc., Cheyenne, Wyoming Douglas Johnson, U.S. -
National Wind Institute Civil Engineering Room 209 Reception to Follow
Wednesday, April 22, 2015 TEXAS TECH UNIVERSITY 3:30 p.m. to 4:30 p.m. Civil Engineering Room 209 National Wind Institute Reception to follow The McDonald-Mehta Lecture Series Presents: National Wind Technology Center: 35 Years of Innovation Leading the Way to a Clean Energy Future Brian S. Smith Director National Wind Technology Center, National Renewable Energy Laboratory Abstract: The Department of Energy (DOE) National Wind Technology Center (NWTC) at the National Renewable Energy Laboratory (NREL) is at the forefront of energy innovation. For more than three decades, NREL researchers have built unparalleled expertise in renewable energy technologies while supporting the nation’s vision that wind and water can provide clean, reliable, and cost-effective electricity. Just south of Boulder, Colorado, the NWTC is nestled at the base of the Rocky Mountain foothills. The 305-acre site experiences diverse and vigorous wind patterns – more than 100 miles per hour – making it an ideal setting for researching and testing the reliability and performance of wind turbines. The NWTC comprises the necessary infrastructure, highly experienced staff, and state-of-the-art equipment needed to provide its partners and stakeholders with a full spectrum of R&D capabilities to develop everything at one location – from small residential wind turbines and components to utility-scale land-based and offshore wind and water power technologies. Through 35 years of innovation, the NWTC is leading the way to increase the reliability and performance of wind technologies, greatly reducing the cost of wind energy and contributing to record- breaking industry growth. The center’s impact is industry-wide, ranging from the creation of award- winning components to helping partners develop the nation’s most commercially successful renewable energy technologies.