Selection, Design and Construction of Offshore Wind Turbine Foundations
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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. -
Gravity-Based Foundations in the Offshore Wind Sector
Journal of Marine Science and Engineering Review Gravity-Based Foundations in the Offshore Wind Sector M. Dolores Esteban *, José-Santos López-Gutiérrez and Vicente Negro Research Group on Marine, Coastal and Port Environment and other Sensitive Areas, Universidad Politécnica de Madrid, E28040 Madrid, Spain; [email protected] (J.-S.L.-G.); [email protected] (V.N.) * Correspondence: [email protected] Received: 27 December 2018; Accepted: 24 January 2019; Published: 12 March 2019 Abstract: In recent years, the offshore wind industry has seen an important boost that is expected to continue in the coming years. In order for the offshore wind industry to achieve adequate development, it is essential to solve some existing uncertainties, some of which relate to foundations. These foundations are important for this type of project. As foundations represent approximately 35% of the total cost of an offshore wind project, it is essential that they receive special attention. There are different types of foundations that are used in the offshore wind industry. The most common types are steel monopiles, gravity-based structures (GBS), tripods, and jackets. However, there are some other types, such as suction caissons, tripiles, etc. For high water depths, the alternative to the previously mentioned foundations is the use of floating supports. Some offshore wind installations currently in operation have GBS-type foundations (also known as GBF: Gravity-based foundation). Although this typology has not been widely used until now, there is research that has highlighted its advantages over other types of foundation for both small and large water depth sites. There are no doubts over the importance of GBS. -
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. -
U.S. Offshore Wind Power Economic Impact Assessment
U.S. Offshore Wind Power Economic Impact Assessment Issue Date | March 2020 Prepared By American Wind Energy Association Table of Contents Executive Summary ............................................................................................................................................................................. 1 Introduction .......................................................................................................................................................................................... 2 Current Status of U.S. Offshore Wind .......................................................................................................................................................... 2 Lessons from Land-based Wind ...................................................................................................................................................................... 3 Announced Investments in Domestic Infrastructure ............................................................................................................................ 5 Methodology ......................................................................................................................................................................................... 7 Input Assumptions ............................................................................................................................................................................................... 7 Modeling Tool ........................................................................................................................................................................................................ -
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. -
The Middelgrunden Offshore Wind Farm
The Middelgrunden Offshore Wind Farm A Popular Initiative 1 Middelgrunden Offshore Wind Farm Number of turbines............. 20 x 2 MW Installed Power.................... 40 MW Hub height......................... 64 metres Rotor diameter................... 76 metres Total height........................ 102 metres Foundation depth................ 4 to 8 metres Foundation weight (dry)........ 1,800 tonnes Wind speed at 50-m height... 7.2 m/s Expected production............ 100 GWh/y Production 2002................. 100 GWh (wind 97% of normal) Park efficiency.................... 93% Construction year................ 2000 Investment......................... 48 mill. EUR Kastrup Airport The Middelgrunden Wind Farm is situated a few kilometres away from the centre of Copenhagen. The offshore turbines are connected by cable to the transformer at the Amager power plant 3.5 km away. Kongedybet Hollænderdybet Middelgrunden Saltholm Flak 2 From Idea to Reality The idea of the Middelgrunden wind project was born in a group of visionary people in Copenhagen already in 1993. However it took seven years and a lot of work before the first cooperatively owned offshore wind farm became a reality. Today the 40 MW wind farm with twenty modern 2 MW wind turbines developed by the Middelgrunden Wind Turbine Cooperative and Copenhagen Energy Wind is producing electricity for more than 40,000 households in Copenhagen. In 1996 the local association Copenhagen Environment and Energy Office took the initiative of forming a working group for placing turbines on the Middelgrunden shoal and a proposal with 27 turbines was presented to the public. At that time the Danish Energy Authority had mapped the Middelgrunden shoal as a potential site for wind development, but it was not given high priority by the civil servants and the power utility. -
A New Era for Wind Power in the United States
Chapter 3 Wind Vision: A New Era for Wind Power in the United States 1 Photo from iStock 7943575 1 This page is intentionally left blank 3 Impacts of the Wind Vision Summary Chapter 3 of the Wind Vision identifies and quantifies an array of impacts associated with continued deployment of wind energy. This 3 | Summary Chapter chapter provides a detailed accounting of the methods applied and results from this work. Costs, benefits, and other impacts are assessed for a future scenario that is consistent with economic modeling outcomes detailed in Chapter 1 of the Wind Vision, as well as exist- ing industry construction and manufacturing capacity, and past research. Impacts reported here are intended to facilitate informed discus- sions of the broad-based value of wind energy as part of the nation’s electricity future. The primary tool used to evaluate impacts is the National Renewable Energy Laboratory’s (NREL’s) Regional Energy Deployment System (ReEDS) model. ReEDS is a capacity expan- sion model that simulates the construction and operation of generation and transmission capacity to meet electricity demand. In addition to the ReEDS model, other methods are applied to analyze and quantify additional impacts. Modeling analysis is focused on the Wind Vision Study Scenario (referred to as the Study Scenario) and the Baseline Scenario. The Study Scenario is defined as wind penetration, as a share of annual end-use electricity demand, of 10% by 2020, 20% by 2030, and 35% by 2050. In contrast, the Baseline Scenario holds the installed capacity of wind constant at levels observed through year-end 2013. -
Interim Financial Report, Second Quarter 2021
Company announcement No. 16/2021 Interim Financial Report Second Quarter 2021 Vestas Wind Systems A/S Hedeager 42,8200 Aarhus N, Denmark Company Reg. No.: 10403782 Wind. It means the world to us.TM Contents Summary ........................................................................................................................................ 3 Financial and operational key figures ......................................................................................... 4 Sustainability key figures ............................................................................................................. 5 Group financial performance ....................................................................................................... 6 Power Solutions ............................................................................................................................ 9 Service ......................................................................................................................................... 12 Sustainability ............................................................................................................................... 13 Strategy and financial and capital structure targets ................................................................ 14 Outlook 2021 ................................................................................................................................ 17 Consolidated financial statements 1 January - 30 June ......................................................... -
Offshore Wind Initiatives at the U.S. Department of Energy U.S
Offshore Wind Initiatives at the U.S. Department of Energy U.S. Offshore Wind Sets Sail Coastal and Great Lakes states account for nearly 80% of U.S. electricity demand, and the winds off the shores of these coastal load centers have a technical resource potential twice as large as the nation’s current electricity use. With the costs of offshore wind energy falling globally and the first U.S. offshore wind farm operational off the coast of Block Island, Rhode Island since 2016, offshore wind has the potential to contribute significantly to a clean, affordable, and secure national energy mix. To support the development of a world-class offshore The Block Island Wind Farm, the first U.S. offshore wind farm, wind industry, the U.S. Department of Energy (DOE) represents the launch of an industry that has the potential to has been supporting a broad portfolio of offshore contribute contribute significantly to a clean, affordable, and secure energy mix. Photo by Dennis Schroeder, NREL 40389 wind research, development, and demonstration projects since 2011 and released a new National Offshore Wind Strategy jointly with the U.S. offshore wind R&D consortium. Composed of representatives Department of the Interior (DOI) in 2016. from industry, academia, government, and other stakeholders, the consortium’s goal is to advance offshore wind plant Research, Development, and technologies, develop innovative methods for wind resource and site characterization, and develop advanced technology solutions Demonstration Projects solutions to address U.S.-specific installation, operation, DOE has allocated over $250 million to offshore wind research maintenance, and supply chain needs. -
Floating Offshore Wind Vision Statement June 2017
Floating Offshore Wind Vision Statement June 2017 Floating Offshore Wind Vision Statement June 2017 windeurope.org KEY MESSAGES 1. FLOATING OFFSHORE WIND 4. FLOATING MEANS MORE IS COMING OF AGE OFFSHORE WIND Floating offshore wind is no longer confined to R&D. It has An increase in offshore wind installations is needed in now reached a high ‘technology readiness level.’ It is also order to meet renewable electricity generation targets set using the latest technology available in the rest of the by the European Commission. Improving conditions for offshore wind supply chain. floating offshore wind will enhance the deployment of overall offshore wind capacity and subsequently support the EU in reaching the 2030 targets. 2. COSTS WILL FALL Floating offshore wind has a very positive cost-reduction 5. EUROPEAN LEADERSHIP outlook. Prices will decrease as rapidly as they have in NEEDS EARLY ACTION onshore and bottom-fixed offshore wind, and potentially at an even greater speed. If Europe is to keep its global technological leadership in offshore wind, it needs to move fast to deploy floating offshore wind and exploit its enormous potential. 3. WE ARE A UNITED INDUSTRY Europe has long been the global leader in offshore wind. Floating offshore wind will take advantage of cost reduction techniques developed in bottom-fixed offshore wind thanks to the significant area of overlap between these two marine renewable energy solutions. 4 Floating Offshore Wind Vision Statement - June 2017 WindEurope 1. INTRODUCTION Floating Offshore Wind (FOW) holds the key to an phase (>8) in which the technology is deemed appropriate inexhaustible resource potential in Europe. -
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 . -
Offshore Wind: Can the United States Catch up with Europe? January 2016
Offshore Wind: Can the United States Catch up with Europe? January 2016 Wind energy power generation is on the rise around the world, due to its low fixed prices and lack of greenhouse gas emissions. A cumulative total of 369,553 megawatts (MW) of wind energy capacity was installed globally by the end of 2014.1 Of that total, only two percent came from offshore wind farms, which are able to capture stronger and more reliable ocean winds to generate electricity.2 Most offshore wind capacity is in Europe, where there are 3,072 grid-connected offshore wind turbines at 82 farms spanning 11 countries, for a total of 10,393.6 MW of wind energy capacity as of June 30, 2015.3 China, the leader in offshore wind in Asia, had 718.9 MW of installed capacity; Japan, 52 MW; and South Korea, 5 MW as of October 2015.4, 5, 6 In comparison, the United States is just beginning to invest in offshore wind energy, and is rapidly approaching the operational launch of its first commercial offshore wind farm. There is incredible potential for offshore wind development in the United States – the National Renewable Energy Laboratory (NREL) has estimated the United States has over 4,000 gigawatts (GW) of offshore wind potential, enough to power the country four times over.7 Installed Capacity European Union Offshore Wind Installed Capacity Offshore Wind (as of first quarter 2015) (as of first quarter 2015) Netherlands, 361 MW, 3% Sweden, 212 MW, 2% 10,393.60 Other, 60 MW, 1% Belgium, 712 MW, 7% United Kingdom, Germany, 5,017.00 2,760 MW, MW, 48% 27% 0.02 776 UNITED STATES E U R O P E A N CHINA, JAPAN, Denmark, 1,271 MW, 12% UNION SOUTH KOREA Figure 1: Megawatts of offshore wind in the world8 Figure 2: E.U.