BOEM Offshore Renewable Energy Workshop: Day 1 - Offshore Wind
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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. -
Analyzing the Energy Industry in United States
+44 20 8123 2220 [email protected] Analyzing the Energy Industry in United States https://marketpublishers.com/r/AC4983D1366EN.html Date: June 2012 Pages: 700 Price: US$ 450.00 (Single User License) ID: AC4983D1366EN Abstracts The global energy industry has explored many options to meet the growing energy needs of industrialized economies wherein production demands are to be met with supply of power from varied energy resources worldwide. There has been a clearer realization of the finite nature of oil resources and the ever higher pushing demand for energy. The world has yet to stabilize on the complex geopolitical undercurrents which influence the oil and gas production as well as supply strategies globally. Aruvian's R'search’s report – Analyzing the Energy Industry in United States - analyzes the scope of American energy production from varied traditional sources as well as the developing renewable energy sources. In view of understanding energy transactions, the report also studies the revenue returns for investors in various energy channels which manifest themselves in American energy demand and supply dynamics. In depth view has been provided in this report of US oil, electricity, natural gas, nuclear power, coal, wind, and hydroelectric sectors. The various geopolitical interests and intentions governing the exploitation, production, trade and supply of these resources for energy production has also been analyzed by this report in a non-partisan manner. The report starts with a descriptive base analysis of the characteristics of the global energy industry in terms of economic quantity of demand. The drivers of demand and the traditional resources which are used to fulfill this demand are explained along with the emerging mandate of nuclear energy. -
Jp Elektroprivrede Hz Herceg Bosne
Vjesnik JP ELEKTROPRIVREDE HZ HERCEG BOSNE CHE Čapljina – 30 godina www.ephzhb.ba INFORMATIVNO - STRUČNI LIST / Godina X. / Broj 44 / Mostar, srpanj 2009. Informativno-stručni list, Vjesnik Glavni i odgovorni urednik: JP Elektroprivreda HZ HB d.d., Mostar Vlatko Međugorac Izdaje: Uredništvo: Sektor za odnose s javnošću Vlatko Međugorac, Mira Radivojević, mr. sc. Irina Budimir, Vanda Rajić, Zoran Pavić Ulica dr. Mile Budaka 106A, Mostar tel.: 036 335-727 Naklada: 800 primjeraka faks: 036 335-779 e-mail: [email protected] Tisak: www.ephzhb.ba FRAM-ZIRAL, Mostar Rukopisi i fotografije se ne vraćaju. 2 INFORMATIVNO STRUČNI LIST JAVNOGA PODUZEĆA ELEKTROPRIVREDE HZ HERCEG BOSNE Sadržaj Novim informacijskim sustavom (SAP-om) do boljega poslovanja .......4 Održana VII. skupština Elektroprivrede HZ HB ................................7 Izvješće neovisnoga revizora ..................................................................8 str. 4 Potpisani ugovori o istražnim radovima na CHE Vrilo.......................10 Elektroprivreda i liberalizacija tržišta ..................................................11 30. rođendan CHE Čapljina ...............................................................13 Posjet njemačkoga veleposlanika i predstavnika KfW banke hidroelektrani Rama ............................................................................14 Primjena novih Općih uvjeta i Pravilnika o priključcima ....................16 HE Mostarsko Blato u izgradnji .........................................................17 str. 7 Uspješno provedena -
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. -
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. -
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 ......................................................... -
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 .