Selection Guidelines for Wind Energy Technologies
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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. -
Goldwind Brochure-1.5-Web.Indd
www.goldwindamerica.com E-mail: [email protected] Goldwind USA, Inc. 200 West Madison Street Suite 2800 Chicago, Illinois, USA Tel: +1 312-948-8050 Fax: +1 312-948-8051 PC: 60601 Xinjiang Goldwind Science & Technology Co., Ltd 107 Shanghai Road, Economic & Technological Development Zone, Urumqi, Xinjiang Tel: +86-(0)991-3767999 PMDD WIND TURBINE Fax: +86-(0)991-3762039 PC: 830026 Beijing Goldwind Science & Creation Windpower Equipment Co., Ltd. No. 19 Kangding Road, Economic & Technological 1.5MW Development Zone, Beijing (I) Tel: +86-(0)10-87857500 Fax: +86-(0)10-87857529 PC: 100176 No. 8 Boxing 1st Road, Economic & Technological Development Zone, Beijing (II) Tel: +86-(0)10-67511888 Fax: +86-(0)10-67511983 PC: 100176 www.goldwindamerica.com E-mail: [email protected] Goldwind USA, Inc. 200 West Madison Street Suite 2800 Chicago, Illinois, USA Tel: +1 312-948-8050 Fax: +1 312-948-8051 PC: 60601 Xinjiang Goldwind Science & Technology Co., Ltd 107 Shanghai Road, Economic & Technological Development Zone, Urumqi, Xinjiang Tel: +86-(0)991-3767999 PMDD WIND TURBINE Fax: +86-(0)991-3762039 PC: 830026 Beijing Goldwind Science & Creation Windpower Equipment Co., Ltd. No. 19 Kangding Road, Economic & Technological 1.5MW Development Zone, Beijing (I) Tel: +86-(0)10-87857500 Fax: +86-(0)10-87857529 PC: 100176 No. 8 Boxing 1st Road, Economic & Technological Development Zone, Beijing (II) Tel: +86-(0)10-67511888 Fax: +86-(0)10-67511983 PC: 100176 GOLDWIND 1.5MW PMDD WIND TURBINE SERIES DYNAMIC POWER CURVE GENERAL TECHNICAL SPECIFICATIONS -
Technological and Operational Aspects That Limit Small Wind Turbines Performance
energies Review Technological and Operational Aspects That Limit Small Wind Turbines Performance José Luis Torres-Madroñero 1 , Joham Alvarez-Montoya 1 , Daniel Restrepo-Montoya 1 , Jorge Mario Tamayo-Avendaño 1 , César Nieto-Londoño 1,2,* and Julián Sierra-Pérez 1 1 Grupo de Investigación en Ingeniería Aeroespacial, Universidad Pontificia Bolivariana, Medellín 050031, Colombia; [email protected] (J.L.T.-M.); [email protected] (J.A.-M.); [email protected] (D.R.-M.); [email protected] (J.M.T.-A.); [email protected] (J.S.-P.) 2 Grupo de Energía y Termodinámica, Universidad Pontificia Bolivariana, Medellín 050031, Colombia * Correspondence: [email protected] Received: 19 October 2020; Accepted: 17 November 2020; Published: 22 November 2020 Abstract: Small Wind Turbines (SWTs) are promissory for distributed generation using renewable energy sources; however, their deployment in a broad sense requires to address topics related to their cost-efficiency. This paper aims to survey recent developments about SWTs holistically, focusing on multidisciplinary aspects such as wind resource assessment, rotor aerodynamics, rotor manufacturing, control systems, and hybrid micro-grid integration. Wind resource produces inputs for the rotor’s aerodynamic design that, in turn, defines a blade shape that needs to be achieved by a manufacturing technique while ensuring structural integrity. A control system may account for the rotor’s aerodynamic performance interacting with an ever-varying wind resource. At the end, the concept of integration with other renewable source is justified, according to the inherent variability of wind generation. Several commercially available SWTs are compared to study how some of the previously mentioned aspects impact performance and Cost of Electricity (CoE). -
SRI: Wind Power Generation Project Main Report
Environment Impact Assessment (Draft) May 2017 SRI: Wind Power Generation Project Main Report Prepared by Ceylon Electricity Board, Ministry of Power and Renewable Energy, Democratic Socialist Republic of Sri Lanka for the Asian Development Bank. CURRENCY EQUIVALENTS (as of 17 May 2017) Currency unit – Sri Lankan rupee/s(SLRe/SLRs) SLRe 1.00 = $0.00655 $1.00 = SLRs 152.70 ABBREVIATIONS ADB – Asian Development Bank CCD – Coast Conservation and Coastal Resource Management Department CEA – Central Environmental Authority CEB – Ceylon Electricity Board DoF – Department of Forest DS – District Secretary DSD – District Secretaries Division DWC – Department of Wildlife Conservation EA – executing agency EIA – environmental impact assessment EMoP – environmental monitoring plan EMP – environmental management plan EPC – engineering,procurement and construction GND – Grama Niladhari GoSL – Government of Sri Lanka GRM – grievance redress mechanism IA – implementing agency IEE – initial environmental examination LA – Local Authority LARC – Land Acquisition and Resettlement Committee MPRE – Ministry of Power and Renewable Energy MSL – mean sea level NARA – National Aquatic Resources Research & Development Agency NEA – National Environmental Act PIU – project implementation unit PRDA – Provincial Road Development Authority PUCSL – Public Utility Commission of Sri Lanka RDA – Road Development Authority RE – Rural Electrification RoW – right of way SLSEA – Sri Lanka Sustainable Energy Authority WT – wind turbine WEIGHTS AND MEASURES GWh – 1 gigawatt hour = 1,000 Megawatt hour 1 ha – 1 hectare=10,000 square meters km – 1 kilometre = 1,000 meters kV – 1 kilovolt =1,000 volts MW – 1 megawatt = 1,000 Kilowatt NOTE In this report, “$” refers to US dollars This environmental impact assessment is a document of the borrower. The views expressed herein do not necessarily represent those of ADB's Board of Directors, Management, or staff, and may be preliminary in nature. -
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. -
Renewable Energy Systems Usa
Renewable Energy Systems Usa Which Lamar impugns so motherly that Chevalier sleighs her guernseys? Behaviorist Hagen pagings histhat demagnetization! misfeature shrivel protectively and minimised alarmedly. Zirconic and diatonic Griffin never blahs Citizenship information on material in the financing and energy comes next time of backup capacity, for reward center. Energy Systems Engineering Rutgers University School of. Optimization algorithms are ways of computing maximum or minimum of mathematical functions. Please just a valid email. Renewable Energy Degrees FULL LIST & Green Energy Job. Payment options all while installing monitoring and maintaining your solar energy systems. Units can be provided by renewable systems could prevent automated spam filtering or system. Graduates with a Masters in Renewable Energy and Sustainable Systems Engineering and. Learn laugh about renewable resources such the solar, wind, geothermal, and hydroelectricity. Creating good decisions. The renewable systems can now to satisfy these can decrease. In recent years there that been high investment in solar PV, due to favourable subsidies and incentives. Renewable Energy Research developing the renewable carbon-free technologies required to mesh a sustainable future energy system where solar cell. Solar energy systems is renewable power system, and the grid rural electrification in cold water pumped uphill by. Apex Clean Energy develops constructs and operates utility-scale wire and medicine power facilities for the. International Renewable Energy Agency IRENA. The limitation of fossil fuels has challenged scientists and engineers to vocabulary for alternative energy resources that can represent future energy demand. Our solar panels are thus for capturing peak power without our winters, in shade, and, of cellar, full sun. -
Wind Turbine Write Up
Jankowski 1 Wind Turbine Write up By: Matt Jankowski EDSGN 100 Sec 014 Windmill Background Wind turbines are an essential tool for capturing natural energy and are very simple to understand the mechanisms behind. It’s as simple as instead of using electricity to create wind, such as a fan or an AC unit, wind turbines use wind to create electricity. Humans have used wind to power mechanisms and toys for decades, such as setting sail on a sailboat to flying a kite on a windy day. Then we took those ideas and turned it into a way to create energy. The rotor blades on windmills act as the blades on a helicopter and are set at 20 degree angles, which will produce the most rotor rotation. When the wind blows, it catches on the blades and causes the rotor to spin. The rotor is either directly connected to or connected through a series of gears to a generator. The generator runs, produces electricity and stores it to be used. My Windmill My solidworks model consists of eight different parts, assembled together to make a free-standing horizontal windmill. First, I started by connecting the base and the lower mast with three mates: concentric, coincident and front plane-front plane coincident. I then added the upper mast and swivel shaft, using three mates to add them to the assembly. Next, three blades, the hub and the main shaft were added. To assemble the blades into the hub, I had to make three mates: concentric, coincident, and a 20 degree angle between the right plane and the flat surface of the blade. -
Design and Access Statement April 2015 FULBECK AIRFIELD WIND FARM DESIGN and ACCESS STATEMENT
Energiekontor UK Ltd Design and Access Statement April 2015 FULBECK AIRFIELD WIND FARM DESIGN AND ACCESS STATEMENT Contents Section Page 1. Introduction 2 2. Site Selection 3 3. Design Influences 7 4. Design Evolution, Amount, Layout and Scale 9 5. Development Description, Appearance and Design 14 6. Access 16 Figures Page 2.1 Site Location 3 2.2 Landscape character areas 4 2.3 1945 RAF Fulbeck site plan 5 2.4 Site selection criteria 6 4.1 First Iteration 10 4.2 Second Iteration 11 4.3 Third Iteration 12 4.4 Fourth Iteration 13 5.1 First Iteration looking SW from the southern edge of Stragglethorpe 14 5.2 Fourth Iteration looking SW from the southern edge of 14 Stragglethorpe 5.3 First Iteration looking east from Sutton Road south of Rectory Lane 15 5.4 Fourth Iteration looking east from Sutton Road south of Rectory Lane 15 6.1 Details of temporary access for turbine deliveries 16 EnergieKontor UK Ltd 1 May 2015 FULBECK AIRFIELD WIND FARM DESIGN AND ACCESS STATEMENT 1 Introduction The Application 1.8 The Fulbeck Airfield Wind Farm planning application is Context 1.6 The Environmental Impact Assessment (EIA) process also submitted in full and in addition to this Design and Access exploits opportunities for positive design, rather than merely Statement is accompanied by the following documents 1.1 This Design and Access Statement has been prepared by seeking to avoid adverse environmental effects. The Design which should be read together: Energiekontor UK Ltd (“EK”) to accompany a planning and Access Statement is seen as having an important role application for the construction, 25 year operation and in contributing to the design process through the clear Environmental Statement Vol 1; subsequent decommissioning of a wind farm consisting of documentation of design evolution. -
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. -
Suzlon Group: Fact Sheet
Suzlon Group: Fact Sheet Suzlon Group Suzlon Group, consisting of Suzlon Energy Limited (SEL) and its global subsidiaries, is India’s largest renewable energy solutions provider with presence in 18 countries across six continents. Suzlon has a strong presence across the entire wind value chain with a comprehensive range of services to build and maintain the projects, which include design, supply, installation, commissioning of the project and dedicated life cycle asset management services. Suzlon Group is a market leader in India with over 11.9 GW of installed capacity and global installation of ~ 17.9 GW spread across 17 countries in Asia, Australia, Europe, Africa and Americas. Suzlon’s Global wind installations help in reducing ~38 million tonnes of CO2 emissions every year. The company has an installed manufacturing capacity of 4,200 MW wind turbine generators spread across three Nacelle units in India and one unit in China (Joint venture). Suzlon boasts of a wide range within its 2.1 MW suite of products with varying rotor blade and tower heights suitable for all wind regimes. o The S111-120m (120 meter hub height), lattice-tubular tower prototype turbine commissioned in Gujarat in March 2016 achieved ~42% plant load factor (PLF). It received Type Certification in June, 2016. o The S111-140m (140 meter hub height), is the tallest lattice-tubular tower in the country. The prototype set up in August 2017 at Kutch, Gujarat, has received its Type Certification. It is expected to deliver 44% plant load factor (PLF) than earlier products on the same site location and wind conditions. -
Energy Highlights
G NER Y SE E CU O R T I A T Y N NATO ENERGY SECURITY C E CENTRE OF EXCELLENCE E C N T N R E E LL OF EXCE ENERGY HIGHLIGHTS ENERGY HIGHLIGHTS 1 Content 7 Introduction 11 Chapter 1 – Wind Energy Systems and Technologies 25 Chapter 2 – Radar Systems and Wind Farms 36 Chapter 3 – Wind Farms Interference Mitigation 46 Chapter 4 – Environmental and societal impacts of wind energy 58 Chapter 5 – Wind Farms and Noise 67 Chapter 6 – Energy Storage and Wind Power 74 Chapter 7 – Case Studies 84 Conclusions 86 A Way Forward 87 Bibliography This is a product of the NATO Energy Security Centre of Excellence (NATO ENSEC COE). It is produced for NATO, NATO member countries, NATO partners, related private and public institutions and related individuals. It does not represent the opinions or policies of NATO or NATO ENSEC COE. The views presented in the articles are those of the authors alone. © All rights reserved by the NATO ENSEC COE. Articles may not be copied, reproduced, distributed or publicly displayed without reference to the NATO ENSEC COE and the respective publication. 2 ENERGY HIGHLIGHTS ENERGY HIGHLIGHTS 3 Role of windfarms for national grids – challenges, risks, and chances for energy security by Ms Marju Kõrts ACKNOWLEDGEMENTS EXECUTIVE SUMMARY AND KEY have arisen in other countries wher wind power RECOMMENDATIONS The author would like to acknowledge the work and insights of the people who contributed to this is expanding. study either via the conducted interviews or their fellowship at the NATO Energy Security Center of apid growth of wind energy worldwide Excellence in summer and autumn 2020. -
Master Document Template
Copyright by Krystian Amadeusz Zimowski 2012 The Thesis Committee for Krystian Amadeusz Zimowski Certifies that this is the approved version of the following thesis: Next Generation Wind Energy Harvester to Power Bridge Health Monitoring Systems APPROVED BY SUPERVISING COMMITTEE: Supervisor: Richard H. Crawford Co-supervisor: Kristin L. Wood Next Generation Wind Energy Harvesting to Power Bridge Health Monitoring Systems by Krystian Amadeusz Zimowski, B.S.M.E. Thesis Presented to the Faculty of the Graduate School of The University of Texas at Austin in Partial Fulfillment of the Requirements for the Degree of Master of Science in Engineering The University of Texas at Austin May 2012 Dedication This thesis is first of all dedicated to my parents, who sacrificed everything for me and for my education. Acknowledgements I would like to acknowledge Dr. Kristin Wood, Dr. Richard Crawford, and Dr. Sharon Wood, for allowing me to work on such a fantastic research project and for mentoring me throughout my graduate studies at The University of Texas at Austin. I am grateful that the National Science Foundation and the National Institute for Standards and Technology (NIST) Technology Innovation Program (TIP) provided funds to address the critical issue of bridge health monitoring systems. I would like also extend a personal thank you to Dr. Dan Jensen at the United States Air Force Academy for granting me the funding to work on this project through a National Science Foundation (NSF) grant for improving student learning using finite element learning modules. Finally, I would like to extend a personal thanks to my fellow mechanical engineers with whom I worked on this project: Sumedh Inamdar, Eric Dierks, and Travis McEvoy.