University of Wisconsin-Madison CWC Technical Design Report
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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. -
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. -
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. -
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 . -
IRISHWIND Autumn 2019
IRISHWIND Autumn 2019 INSIDE THIS ISSUE Minister Bruton writes for Irish Wind WEGs update Renewable Energy Ireland feature contents Foreword - David Connolly, IWEA, CEO WELCOME TO THE AUTUMN 2019 05 EDITION OF IRISH WIND IWEA is the national association for the Upcoming events wind industry in Ireland. This magazine 06 provides updates on news and events in the wind industry in Ireland and is Membership and events 07 a resource for IWEA members in the interests of the promotion of wind energy. Minister Bruton writes for Irish Wind 10 Please contact Lisa-Anne Crookes with comments / suggestions for future Marie Donnelly on Renewable Energy editions on [email protected] 11 Ireland 12 Green Tech - A Record Year Q&A with Peter Bracken and his drive for 16 green 18 NIRIG - News and introducing new Chief 19 The Offshore Opportunity 21 Policy Pages - IWEA 26 Wind Energy Guidelines 34 Generation Table The information and views set out inside by external contributors are those of the author and do not necessarily reflect the views of IWEA. Pictures in collage from IWEA members and school tours. Foreword by David Connolly, IWEA CEO It has been an exciting six months in Combined with a significant growth in demand, primarily IWEA since our spring conference in due to the large number of data centres getting connected, March, where it was first indicated our forecasts suggest that the renewable electricity share in that Ireland would have a 70 per Ireland will drop to the low thirties, which is very worrying cent renewable electricity target since the first interim target for Ireland under the Clean for 2030. -
CN Experts Summary of Relevant Qualifications and Experience CN Expert Witness Profiles 1
CN Experts Summary of Relevant Qualifications and Experience CN Expert Witness Profiles 1. Frank Babic 2. Michael Bissett 3. Russell Brownlee 4. Andrew Cairns 5. Benjamin Coulson 6. Parker Dickson 7. Andrew Faszer 8. Sean Geddes 9. Jeanette Gillezeau 10. Marianne Hatzpoulou 11. Ron Howieson 12. Audrey Jacob 13. Paul Johnston 14. Loren Knopper 15. Daniel Krewski 16. John Martin 17. Robert McBride 18. Tom McCormack 19. Allan Prits 20. Mark Raizenne 21. Meaghan Rivard 22. Sheldon Smith 23. Andrew Taylor 24. Grant Whitehead Frank Babic P.Eng. INCE Environmental Services Acoustics Practice Area Lead, Ontario, Stantec Inc. Mr. Babic is the Environmental Services Acoustics Practice Area Lead for Ontario. He has over 20 years of engineering consulting experience in the areas of acoustics, noise and vibration engineering. Areas of technical expertise include engineering consulting in Environmental Noise, Transportation Noise, Building Acoustics, Vibration and Monitoring (Noise and Vibration). He has a breadth of project experience in key markets including Buildings, Construction, Environmental Services, Land Development, Oil & Gas, Transportation and Water/Wastewater. Prior to joining Stantec, Frank was a key technical resource and support for multi-disciplinary, multi-million dollar projects in Canada and the US for notable consulting firms in the industry. EDUCATION SELECTED PROJECT EXPERIENCE Bachelor of Applied Science, Civil Engineer; Option in Management Science, University of CSX Virginia Avenue Tunnel Railway Vibration, Waterloo, ON, 1996 Washington, DC (Lead Acoustic Engineer) Lead acoustic engineer engaged to support CSX in addressing freight railway vibration complaints REGISTRATIONS with the opening of the Virginia Avenue Tunnel in Registered Member, Institute of Noise Control the Washington, DC area. -
Selection Guidelines for Wind Energy Technologies
energies Review Selection Guidelines for Wind Energy Technologies A. G. Olabi 1,2,*, Tabbi Wilberforce 2, Khaled Elsaid 3,* , Tareq Salameh 1, Enas Taha Sayed 4,5, Khaled Saleh Husain 1 and Mohammad Ali Abdelkareem 1,4,5,* 1 Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates; [email protected] (T.S.); [email protected] (K.S.H.) 2 Mechanical Engineering and Design, School of Engineering and Applied Science, Aston University, Aston Triangle, Birmingham B4 7ET, UK; [email protected] 3 Chemical Engineering Program, Texas A & M University at Qatar, Doha P.O. Box 23874, Qatar 4 Centre for Advanced Materials Research, University of Sharjah, Sharjah 27272, United Arab Emirates; [email protected] 5 Chemical Engineering Department, Faculty of Engineering, Minia University, Minya 615193, Egypt * Correspondence: [email protected] (A.G.O.); [email protected] (K.E.); [email protected] (M.A.A.) Abstract: The building block of all economies across the world is subject to the medium in which energy is harnessed. Renewable energy is currently one of the recommended substitutes for fossil fuels due to its environmentally friendly nature. Wind energy, which is considered as one of the promising renewable energy forms, has gained lots of attention in the last few decades due to its sustainability as well as viability. This review presents a detailed investigation into this technology as well as factors impeding its commercialization. General selection guidelines for the available wind turbine technologies are presented. Prospects of various components associated with wind energy conversion systems are thoroughly discussed with their limitations equally captured in this report. -
Draft Guidelines for Consideration of Bats in Wind Farm Projects – Revision 2014
Doc.EUROBATS.MoP7.13.Annex Draft Guidelines for consideration of bats in wind farm projects – revision 2014 Notes: - Comments may be sent to Luisa Rodrigues ([email protected]; [email protected]) - Additional data on studies (annex 1) and mortality (annex 2) may still be incorporated. - Sentences/words highlighted in yellow are still missing or need to will be revised after 7MoP. - Suren will check if all references are referred in the text, and uniform the references - Suren will highlight in the text all terms that are included in the Glossary - Authors: Luísa Rodrigues (Portugal), Lothar Bach (Germany), Marie-Jo Dubourg-Savage (SFEPM, France), Branko Karapandža (Serbia), Dina Kovač (Croatia), Thierry Kervyn (Belgium), Jasja Dekker (BatLife Europe, The Netherlands), Andrzej Kepel (Poland), Petra Bach (Germany), Jan Collins (BCT, United Kingdom), Christine Harbusch (NABU, Germany), Kirsty Park (Stirling University, United Kingdom), Branko Micevski (FYR Macedonia), Jeroen Minderman (Stirling University, United Kingdom) Foreword Comment [LR1]: At the end we need to 1 Introduction discuss the level of detail of the index 2 General aspects of the planning process 2.1 Site selection phase 2.2 Construction phase 2.3 Operation phase 2.4 Decommissioning phase 3 Carrying out impact assessments Goals of the impact assessment in relation to bats (EXTRA BOX - Collision risk level for European bat species) 3.1 Pre-survey assessment Collation and review of existing information 3.2 Survey 3.2.1 Survey design 3.2.2 Survey methods 3.2.2.1 -
Enbridge's Energy Infrastructure Assets
Enbridge’s Energy Infrastructure Assets Last Updated: Aug. 4, 2021 Energy Infrastructure Assets Table of Contents Crude Oil and Liquids Pipelines .................................................................................................... 3 Natural Gas Transmission Pipelines ........................................................................................... 64 Natural Gas Gathering Pipelines ................................................................................................ 86 Gas Processing Plants ................................................................................................................ 91 Natural Gas Distribution .............................................................................................................. 93 Crude Oil Tank Terminals ........................................................................................................... 96 Natural Gas Liquids Pipelines ................................................................................................... 110 NGL Fractionation ..................................................................................................................... 111 Natural Gas Storage ................................................................................................................. 112 NGL Storage ............................................................................................................................. 119 LNG Storage ............................................................................................................................ -
TRANSMISSION: Solving the Dilemma
FeBRUARY2010 FeATUReS Company Profile: Parkline, Inc. Gathering Blade Span Data A New Direction for Turbine Gearing Cool System, Hot Results Free Money for Wind Developers Eliminating Uncertainty with Sodar A Greener Wind Farm TRANSMISSION: SOlvINgThedIleMMA departments Logistics—BDP Project Logistics Construction—Hayward Baker Maintenance— SKF Technology—SandiaNational Laboratories Q&A: Kenneth Westrick 3TIER FEBRUARY 2010 FEATURES COMPANYPROFILE 24 PARKLINE, INC. BY RUSS WILLCUTT This renowned manufacturer of prefabricated electrical buildings can provide you with structures designed to meet your exact job specifications. GATHERING BLADE 26 SPAN DATA BY JOSH UNDErwOOD Compiling a complete range of data is the only way to determine whether a potential wind-farm site is viable and will produce as desired. A NEW DIRECTION FOR 30 TURBINE GEARING BY CHRISTER RICHT In this article Sandvik Coromant reports on tooling developments that are driving progress in cutting gears for wind turbines. SOLVING THE 34 TRANSMISSION DILEMMA BY PAUL KAISER While transmission continues to be a major impediment to getting more wind power to the market, several important developments were made in the past few years. COOL SYSTEM, 40 HOT RESULT BY DALE THOMPSON New cooling system from Parker provides significant advantages to wind turbines by offering greater performance in a smaller package. FREE MONEY FOR 44 WIND DEVELOPERS BY JESSICA A. GRAF AND JUSTIN B. MEAD Allow these experts to guide you through the grant funds available to wind developers through The American Recovery and Reinvestment Act of 2009. ELIMINATING UNCERTAINTY 50 WITH SODAR BY SUSAN GIORDANO Just as the wind industry itself continues to evolve, remote sensing has truly come of age, eliminating the uncertainty often associated with wind-assessment studies. -
2012JRC Wind Status Report
2012 JRC wind status report Technology, market and economic aspects of wind energy in Europe Roberto Lacal Arántegui, main author. Teodora Corsatea and Kiti Suomalainen, contributing authors. 2012 Report EUR 25647 EN Cover picture: Sunset wind farm. © Jos Beurskens. European Commission Joint Research Centre Institute for Energy and Transport Contact information Roberto Lacal Arántegui Address: Joint Research Centre, Institute for Energy and Transport. Westerduinweg 3, NL-1755 LE Petten, The Netherlands E-mail: [email protected] Tel.: +31 224 56 53 90 Fax: +31 224 56 56 16 http://iet.jrc.ec.europa.eu http://www.jrc.ec.europa.eu This publication is a Reference Report by the Joint Research Centre of the European Commission. Legal Notice Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication. Europe Direct is a service to help you find answers to your questions about the European Union Freephone number (*): 00 800 6 7 8 9 10 11 (*) Certain mobile telephone operators do not allow access to 00 800 numbers or these calls may be billed. A great deal of additional information on the European Union is available on the Internet. It can be accessed through the Europa server http://europa.eu/ JRC77895 EUR 25647 EN ISBN 978-92-79-27956-0 (print) ISBN 978-92-79-27955-3 (pdf) ISSN 1018-5593 (print) ISSN 1831-9424 (online) doi:10.2790/72509 Luxembourg: Publications Office of the European Union, 2013 © European Union, 2013 Reproduction is authorised provided the source is acknowledged. -
Fort Carson Wind Resource Assessment
Fort Carson Wind Resource Assessment R. Robichaud Produced under direction of the Department of Defense by the National Renewable Energy Laboratory (NREL) under Interagency Agreement IAG-11-1837 and Task No WFL5.1008. NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Technical Report NREL/TP-7A40-56409 October 2012 Contract No. DE-AC36-08GO28308 Fort Carson Wind Resource Assessment R. Robichaud Prepared under Task No. WFL5.1008 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory Technical Report 15031 Denver West Parkway NREL/TP-7A40-56409 Golden, Colorado 80401 October 2012 303-275-3000 • www.nrel.gov Contract No. DE-AC36-08GO28308 NOTICE This manuscript has been authored by employees of the Alliance for Sustainable Energy, LLC (“Alliance”) under Contract No. DE-AC36-08GO28308 with the U.S. Department of Energy (“DOE”). This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States government or any agency thereof.