Dynamics Modeling and Loads Analysis of an Offshore Floating DE-AC36-99-GO10337 Wind Turbine 5B

Total Page:16

File Type:pdf, Size:1020Kb

Dynamics Modeling and Loads Analysis of an Offshore Floating DE-AC36-99-GO10337 Wind Turbine 5B A national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy National Renewable Energy Laboratory Innovation for Our Energy Future Dynamics Modeling and Loads Technical Report NREL/TP-500-41958 Analysis of an Offshore November 2007 Floating Wind Turbine J.M. Jonkman NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 Dynamics Modeling and Loads Technical Report NREL/TP-500-41958 Analysis of an Offshore November 2007 Floating Wind Turbine J.M. Jonkman Prepared under Task No. WER7.5001 National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 • www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy by Midwest Research Institute • Battelle Contract No. DE-AC36-99-GO10337 NOTICE 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. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or any agency thereof. Available electronically at http://www.osti.gov/bridge Available for a processing fee to U.S. Department of Energy and its contractors, in paper, from: U.S. Department of Energy Office of Scientific and Technical Information P.O. Box 62 Oak Ridge, TN 37831-0062 phone: 865.576.8401 fax: 865.576.5728 email: mailto:[email protected] Available for sale to the public, in paper, from: U.S. Department of Commerce National Technical Information Service 5285 Port Royal Road Springfield, VA 22161 phone: 800.553.6847 fax: 703.605.6900 email: [email protected] online ordering: http://www.ntis.gov/ordering.htm Printed on paper containing at least 50% wastepaper, including 20% postconsumer waste Acknowledgments I would like to thank many individuals for the successful completion of this project. Without their advice and help, I could not have completed a work of this scope. First, I would like to thank my Ph.D. committee for evaluating this work: Professor Mark Balas, formerly of the University of Colorado and now with the University of Wyoming; Professors Carlos Felippa and Lucy Pao of the University of Colorado; Dr. Michael Robinson of the National Renewable Energy Laboratory; and Professor Paul Sclavounos of the Massachusetts Institute of Technology. Special thanks go to my advisor, Professor Mark Balas, for his guidance and support of this work, and to Professor Paul Sclavounos, for educating me in marine hydrodynamics. Thank you to Dr. Robert Zueck and Dr. Paul Palo of the Naval Facilities Engineering Service Center for giving me insight into the dynamics and modeling of mooring systems. I would also like to thank Dr. Jon Erik Withee of the U.S. Navy for initiating the study of offshore floating wind turbines at the Massachusetts Institute of Technology, and Kwang Lee for continuing in that effort and verifying the output of SWIM. I am also grateful to Libby Wayman for modifying SWIM to output the frequency-dependent solutions of the radiation and diffraction problems, for developing a floating platform concept, and for providing me with data that I could use to validate my own models. Thank you also to Torben Larsen of Risø National Laboratory and the Technical University of Denmark for introducing me to the importance of the role that a variable blade-pitch-to-feather control system can play in offshore floating wind turbines. I would also like to thank Ian Edwards of ITI Energy for sponsoring the loads-analysis activities and Professor Nigel Barltrop and Willem Vijfhuizen of the Universities of Glasgow and Strathclyde for developing the ITI Energy barge and mooring system concept. Big thanks go to several of my colleagues at the National Renewable Energy Laboratory’s National Wind Technology Center. I thank George Scott for processing the reference-site data from the Waveclimate.com service, and Bonnie Jonkman for assisting me in developing the scripts needed to generate the WAMIT® geometric-data input files. I thank Marshall Buhl for developing the scripts used to run the loads analysis and for assisting me in processing the loads- analysis data. Thank you to Dr. Gunjit Bir for assisting me in examining the system instabilities and to Lee Jay Fingersh and Dr. Alan Wright for their guidance and advice in my controls- development activities. Thanks also to Kathleen O’Dell, Rene Howard, Janie Homan, Bruce Green, and Bonnie Jonkman for editing this work to make it much more readable. Thank you also to Walter Musial and Sandy Butterfield for leading the offshore wind energy program and to Dr. Robert Thresher and Dr. Michael Robinson for directing the National Wind Technology Center and for giving me the time and resources needed to work on this project. I would like to thank my family and friends for their gracious support and encouragement throughout this effort—I couldn’t have completed the project without your help. iii This work was performed at the National Renewable Energy Laboratory in support of the U.S. Department of Energy under contract number DE-AC36-99-GO10337 and in support of a Cooperative Research and Development Agreement (CRD-06-178) with ITI Energy. iv Acronyms and Abbreviations Abbr. = abbreviation ADAMS® = Automatic Dynamic Analysis of Mechanical Systems ARGOSS = Advisory and Research Group on Geo Observation Systems and Services A2AD = ADAMS-to-AeroDyn BEM = blade-element / momentum BVP = boundary-value problem CM = center of mass COB = center of bouyancy DAC = disturbance-accommodating control DLC = design load case DLL = dynamic link library DOE = U.S. Department of Energy DOF = degree of freedom DOWEC = Dutch Offshore Wind Energy Converter project DU = Delft University ECD = extreme coherent gust with direction change ECN = Energy Research Center of the Netherlands EOG = extreme operating gust equiripple = equalized-ripple ESS = extreme sea state ETM = extreme turbulence model EWM = turbulent extreme wind model EWS = extreme wind shear FAST = Fatigue, Aerodynamics, Structures, and Turbulence FEA = finite-element analysis FFT = fast Fourier transform F2T = frequency-to-time GDW = generalized dynamic-wake GE = General Electric HAWT = horizontal-axis wind turbine IEA = International Energy Agency IEC = International Electrotechnical Commission JONSWAP = Joint North Sea Wave Project metocean = meteorological and oceanographic MIMO = multiple-input, multiple-output v MIT = Massachusetts Institute of Technology MSL = mean sea level NACA = National Advisory Committee for Aeronautics NASA = National Aeronautics and Space Administration NAME = Naval Architecture and Marine Engineering NFESC = Naval Facilities Engineering Service Center NREL = National Renewable Energy Laboratory NSS = normal sea state NTM = normal turbulence model NWTC = National Wind Technology Center OCS = offshore continental shelf OC3 = Offshore Code Comparison Collaborative O&G = oil and gas OWC = oscillating water column PI = proportional-integral PID = proportional-integral-derivative PSD = power spectral density PSF = partial safety factor RAM = random access memory RAO = response amplitude operator RECOFF = Recommendations for Design of Offshore Wind Turbines project RNG = random-number generator SAR = synthetic aperture radar SDB = shallow-drafted barge SISO = single-input, single-output SML = SWIM-MOTION-LINES SVD = singular-value decomposition SWL = still water level TFB = tower feedback TLP = tension leg platform TMD = tuned-mass damper UAE = Unsteady Aerodynamics Experiment VIV = vortex-induced vibration WAMIT® = Wave Analysis at MIT WGN = white Gaussian noise WindPACT = Wind Partnerships for Advanced Component Technology project w.r.t. = with respect to vi Nomenclature A = amplitude of a regular incident wave Ad = discrete-time state matrix ai = component of the undisturbed fluid-particle acceleration in Morison’s equation in the direction of the ith translational degree of freedom of the support platform Aij = (i,j) component of the impulsive hydrodynamic-added-mass matrix a XE r = three-component acceleration vector in Kane’s equations of motion for the center th of mass (point Xr) of the r system rigid body in the inertial frame (frame E) ARadiation = added inertia (added mass) associated with hydrodynamic radiation in pitch A0 = water-plane area of the support platform when it is in its undisplaced position Aξ = amplitude of the platform-pitch oscillation Bd = discrete-time input matrix Bij = (i,j) component of the hydrodynamic-damping matrix BRadiation = damping associated with hydrodynamic radiation in pitch BViscous = damping associated with hydrodynamic viscous drag in pitch CA = normalized hydrodynamic-added-mass coefficient in Morison’s equation CB = coefficient of the static-friction drag between the seabed and a mooring line CD = normalized viscous-drag coefficient in Morison’s equation Cd = discrete-time output
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.
    [Show full text]
  • Rectilinear Oscillations of a Sphere Immersed in a Bounded Viscous Fluid Kenneth George Mcconnell Iowa State University
    Iowa State University Capstones, Theses and Retrospective Theses and Dissertations Dissertations 1963 Rectilinear oscillations of a sphere immersed in a bounded viscous fluid Kenneth George McConnell Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/rtd Part of the Applied Mechanics Commons Recommended Citation McConnell, Kenneth George, "Rectilinear oscillations of a sphere immersed in a bounded viscous fluid " (1963). Retrospective Theses and Dissertations. 2547. https://lib.dr.iastate.edu/rtd/2547 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. This dissertation has been 64—3883 microfilmed exactly as received McCONNELL, Kenneth George, 1934— RECTILINEAR OSCILLATIONS OF A SPHERE IMMERSED IN A BOUNDED VISCOUS FLUID. Iowa State University of Science and Technology Ph.D., 1963 Engineering Mechanics University Microfilms, Inc., Ann Arbor, Michigan KiSCxïLIiNJiÀK. USUlLLâXlOaS OF A ornhiKti MSieRSêv IN A BOUNDED VISCOUS FLUID by Kenneth George McConnell A Dissertation Submitted to the Graduate Faculty in Partial Fulfillment of The Requirements for the Degree of DOCTOR OF PHILOSOPHY Major Subject: Theoretical and Applied Mechanics Approved: Signature was redacted for privacy. Signature was redacted for privacy. Head of Major Department Signature was redacted for privacy. Iowa State University Of Science and Technology Ames, Iowa 1963 ii TABLE OF CONTENTS Page I. INTRODUCTION 1 A. The Phenomenon 1 B. Survey of Literature 6 II.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • Stochastic Dynamic Response Analysis of a 10 MW Tension Leg Platform Floating Horizontal Axis Wind Turbine
    energies Article Stochastic Dynamic Response Analysis of a 10 MW Tension Leg Platform Floating Horizontal Axis Wind Turbine Tao Luo 1,*, De Tian 1, Ruoyu Wang 1 and Caicai Liao 2 1 State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China; [email protected] (D.T.); [email protected] (R.W.) 2 CAS Key Laboratory of Wind Energy Utilization, Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China; [email protected] * Correspondence: [email protected]; Tel.: +10-6177-2682 Received: 2 October 2018; Accepted: 23 November 2018; Published: 30 November 2018 Abstract: The dynamic response of floating horizontal axis wind turbines (FHWATs) are affected by the viscous and inertia effects. In free decay motion, viscous drag reduces the amplitude of pitch and roll fluctuation, the quasi-static mooring system overestimates the resonant amplitude values of pitch and roll. In this paper, the quasi-static mooring system is modified by introducing linear damping and quadratic damping. The dynamic response characteristics of the FHAWT modified model of the DTU 10 MW tension leg platform (TLP) were studied. Dynamic response of the blade was mainly caused by wind load, while the wave increased the blade short-term damage equivalent load. The tower base bending moment was affected by inclination of the tower and the misaligned angle bwave between wind and wave. Except the yaw motion, other degrees of freedom motions of the TLP were substantially affected by bwave. Ultimate tension of the mooring system was related to the displacement caused by pitch and roll motions, and standard deviation of the tension was significantly affected by the wave frequency response.
    [Show full text]
  • Real-Time Geopotentiometry with Synchronously Linked Optical Lattice Clocks
    1 Real-time geopotentiometry with synchronously linked optical lattice clocks Tetsushi Takano1,2, Masao Takamoto2,3,4, Ichiro Ushijima2,3,4, Noriaki Ohmae1,2,3, Tomoya Akatsuka2,3,4, Atsushi Yamaguchi2,3,4, Yuki Kuroishi5, Hiroshi Munekane5, Basara Miyahara5 & Hidetoshi Katori1,2,3,4 1Department of Applied Physics, Graduate School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo 113-8656, Japan. 2Innovative Space-Time Project, ERATO, Japan Science and Technology Agency, Bunkyo-ku, Tokyo 113-8656, Japan. 3Quantum Metrology Laboratory, RIKEN, Wako-shi, Saitama 351-0198, Japan. 4RIKEN Center for Advanced Photonics, Wako-shi, Saitama 351-0198, Japan. 5Geospatial Information Authority of Japan, Tsukuba-shi, Ibaraki 305-0811, Japan. According to the Einstein’s theory of relativity, the passage of time changes in a gravitational field1,2. On earth, raising a clock by one centimetre increases its tick rate by 1.1 parts in 1018, enabling optical clocks1,3,4 to perform precision geodesy5. Here, we demonstrate geopotentiometry by determining the height difference of master and slave clocks4 separated by 15 km with uncertainty of 5 cm. The subharmonic of the master clock is delivered through a telecom fibre6 to phase- lock and synchronously interrogate7 the slave clock. This protocol rejects laser noise in the comparison of two clocks, which improves the stability of measuring the gravitational red shift. Such phase-coherently operated clocks facilitate proposals for linking clocks8,9 and interferometers10. Over half a year, 11 2 measurements determine the fractional frequency difference between the two clocks to be 1,652.9(5.9)×10-18, or a height difference of 1,516(5) cm, consistent with an independent measurement by levelling and gravimetry.
    [Show full text]
  • Introduction to Added Mass
    An Internet Book on Fluid Dynamics Introduction to Added Mass Whenever acceleration is imposed on a fluid flow either by acceleration of a body in the fluid or by acceleration externally imposed on the fluid, additional fluid forces will act on the surfaces in contact with the fluid. These fluid inertial forces can be of considerable importance in many practical situations. In this and the sections which follow we will review the state of knowledge of these forces and, in particular, identify the added mass matrices that can be used to characterize them. Perhaps the most fundamental view of the phenomenon of added mass is that it defines the necessary work that is needed to change the kinetic energy associated with a fluid motion. Any fluid motion such as that which occurs when a body moves through the fluid implies a certain, positive, non-zero kinetic energy associated with the fluid motion. We will confine attention to an incompressible fluid of density, ρ, in which case the total kinetic energy, T ,isgivenby ρ 2 2 2 ρ T = (u1 + u2 + u3)dv = ujujdv (Bmba1) 2 V 2 V where uj, j =1, 2, 3 are the Cartesian components of the fluid velocity and V is entire volume or domain of fluid. If the motion of the body is one of steady rectilinear translation at a velocity U through a fluid otherwise at rest then clearly the total kinetic energy is finite and constant; it must in fact be equal to the work that had to be done on the body to get it up to that velocity after starting form rest with all velocities equal to zero.
    [Show full text]
  • Einstein's Gravitational Field
    Einstein’s gravitational field Abstract: There exists some confusion, as evidenced in the literature, regarding the nature the gravitational field in Einstein’s General Theory of Relativity. It is argued here that this confusion is a result of a change in interpretation of the gravitational field. Einstein identified the existence of gravity with the inertial motion of accelerating bodies (i.e. bodies in free-fall) whereas contemporary physicists identify the existence of gravity with space-time curvature (i.e. tidal forces). The interpretation of gravity as a curvature in space-time is an interpretation Einstein did not agree with. 1 Author: Peter M. Brown e-mail: [email protected] 2 INTRODUCTION Einstein’s General Theory of Relativity (EGR) has been credited as the greatest intellectual achievement of the 20th Century. This accomplishment is reflected in Time Magazine’s December 31, 1999 issue 1, which declares Einstein the Person of the Century. Indeed, Einstein is often taken as the model of genius for his work in relativity. It is widely assumed that, according to Einstein’s general theory of relativity, gravitation is a curvature in space-time. There is a well- accepted definition of space-time curvature. As stated by Thorne 2 space-time curvature and tidal gravity are the same thing expressed in different languages, the former in the language of relativity, the later in the language of Newtonian gravity. However one of the main tenants of general relativity is the Principle of Equivalence: A uniform gravitational field is equivalent to a uniformly accelerating frame of reference. This implies that one can create a uniform gravitational field simply by changing one’s frame of reference from an inertial frame of reference to an accelerating frame, which is rather difficult idea to accept.
    [Show full text]
  • 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 .
    [Show full text]
  • Engineering Challenges for Floating Offshore Wind Turbines
    A national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy National Renewable Energy Laboratory Innovation for Our Energy Future Engineering Challenges for Conference Paper NREL/CP-500-38776 Floating Offshore Wind Turbines September 2007 S. Butterfield, W. Musial, and J. Jonkman National Renewable Energy Laboratory P. Sclavounos Massachusetts Institute of Technology Presented at the 2005 Copenhagen Offshore Wind Conference Copenhagen, Denmark October 26–28, 2005 NREL is operated by Midwest Research Institute ● Battelle Contract No. DE-AC36-99-GO10337 NOTICE The submitted manuscript has been offered by an employee of the Midwest Research Institute (MRI), a contractor of the US Government under Contract No. DE-AC36-99GO10337. Accordingly, the US Government and MRI retain a nonexclusive royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for US Government purposes. 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. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States government or any agency thereof.
    [Show full text]
  • Floating Offshore Wind 101 Webinar Q & A
    Floating Offshore Wind 101 Webinar Q & A This Q&A document is based on the webinar, Floating Offshore Wind Overview. Cost and Economics Questions Answers Can you comment on the recent report that characterizes offshore wind in the We are unaware of the report being referenced, but we can say recent cost declines in Europe have been United States as too expensive? Is the industry positioned to counter that verified by NREL’s analysis of the revenue generated from negotiated power purchase agreements for assertion? the first few U.S. offshore wind projects suggest offshore wind: 1. Is no more expensive in the United States than in Europe 2. May soon be competitive in many electric markets, especially in the Northeast 3. May be able to provide additional benefits to the utility system, especially in constrained energy markets. What are the most likely financing schemes for U.S. utility-scale projects For early commercial-scale floating wind projects (e.g., those in the mid-2020s), we expect project starting construction in the mid-2020s or later without the benefit of federal tax financing arrangements that are similar to today’s financing of fixed-bottom wind projects in the United credits? Is a single-owner power purchase agreement the most likely financing States. The benefits of the fading tax credits will have to be compensated through other means to make mechanism, absent the past tax benefits for flip structures? projects bankable. These other means include lower costs or technology-specific, state-mandated power purchase agreements or offshore wind renewable energy certificates, which are known as ORECs, and they may need to be used in combination with public financing.
    [Show full text]
  • IEA Wind Technology Collaboration Programme
    IEA Wind Technology Collaboration Programme 2017 Annual Report A MESSAGE FROM THE CHAIR Wind energy continued its strong forward momentum during the past term, with many countries setting records in cost reduction, deployment, and grid integration. In 2017, new records were set for hourly, daily, and annual wind–generated electricity, as well as share of energy from wind. For example, Portugal covered 110% of national consumption with wind-generated electricity during three hours while China’s wind energy production increased 26% to 305.7 TWh. In Denmark, wind achieved a 43% share of the energy mix—the largest share of any IEA Wind TCP member countries. From 2010-2017, land-based wind energy auction prices dropped an average of 25%, and levelized cost of energy (LCOE) fell by 21%. In fact, the average, globally-weighted LCOE for land-based wind was 60 USD/ MWh in 2017, second only to hydropower among renewable generation sources. As a result, new countries are adopting wind energy. Offshore wind energy costs have also significantly decreased during the last few years. In Germany and the Netherlands, offshore bids were awarded at a zero premium, while a Contract for Differences auction round in the United Kingdom included two offshore wind farms with record strike prices as low as 76 USD/MWh. On top of the previous achievements, repowering and life extension of wind farms are creating new opportunities in mature markets. However, other challenges still need to be addressed. Wind energy continues to suffer from long permitting procedures, which may hinder deployment in many countries. The rate of wind energy deployment is also uncertain after 2020 due to lack of policies; for example, only eight out of the 28 EU member states have wind power policies in place beyond 2020.
    [Show full text]