Innovation Paths in Wind Power
Total Page:16
File Type:pdf, Size:1020Kb
Load more
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. -
Implementation and Validation of an Advanced Wind Energy Controller in Aero-Servo-Elastic Simulations Using the Lifting Line Free Vortex Wake Model
energies Article Implementation and Validation of an Advanced Wind Energy Controller in Aero-Servo-Elastic Simulations Using the Lifting Line Free Vortex Wake Model Sebastian Perez-Becker *, David Marten, Christian Navid Nayeri and Christian Oliver Paschereit Chair of Fluid Dynamics, Hermann Föttinger Institute, Technische Universität Berlin, Müller-Breslau-Str. 8, 10623 Berlin, Germany; [email protected] (D.M.); [email protected] (C.N.N.); [email protected] (C.O.P.) * Correspondence: [email protected] Abstract: Accurate and reproducible aeroelastic load calculations are indispensable for designing modern multi-MW wind turbines. They are also essential for assessing the load reduction capabilities of advanced wind turbine control strategies. In this paper, we contribute to this topic by introducing the TUB Controller, an advanced open-source wind turbine controller capable of performing full load calculations. It is compatible with the aeroelastic software QBlade, which features a lifting line free vortex wake aerodynamic model. The paper describes in detail the controller and includes a validation study against an established open-source controller from the literature. Both controllers show comparable performance with our chosen metrics. Furthermore, we analyze the advanced load reduction capabilities of the individual pitch control strategy included in the TUB Controller. Turbulent wind simulations with the DTU 10 MW Reference Wind Turbine featuring the individual pitch control strategy show a decrease in the out-of-plane and torsional blade root bending moment fatigue loads of 14% and 9.4% respectively compared to a baseline controller. Citation: Perez-Becker, S.; Marten, D.; Nayeri, C.N.; Paschereit, C.O. -
The Prediction Model of Characteristics for Wind Turbines Based on Meteorological Properties Using Neural Network Swarm Intelligence
sustainability Article The Prediction Model of Characteristics for Wind Turbines Based on Meteorological Properties Using Neural Network Swarm Intelligence Tugce Demirdelen 1 , Pırıl Tekin 2,* , Inayet Ozge Aksu 3 and Firat Ekinci 4 1 Department of Electrical and Electronics Engineering, Adana Alparslan Turkes Science and Technology University, 01250 Adana, Turkey 2 Department of Industrial Engineering, Adana Alparslan Turkes Science and Technology University, 01250 Adana, Turkey 3 Department of Computer Engineering, Adana Alparslan Turkes Science and Technology University, 01250 Adana, Turkey 4 Department of Energy Systems Engineering, Adana Alparslan Turkes Science and Technology University, 01250 Adana, Turkey * Correspondence: [email protected]; Tel.: +90-322-455-0000 (ext. 2411) Received: 17 July 2019; Accepted: 29 August 2019; Published: 3 September 2019 Abstract: In order to produce more efficient, sustainable-clean energy, accurate prediction of wind turbine design parameters provide to work the system efficiency at the maximum level. For this purpose, this paper appears with the aim of obtaining the optimum prediction of the turbine parameter efficiently. Firstly, the motivation to achieve an accurate wind turbine design is presented with the analysis of three different models based on artificial neural networks comparatively given for maximum energy production. It is followed by the implementation of wind turbine model and hybrid models developed by using both neural network and optimization models. In this study, the ANN-FA hybrid structure model is firstly used and also ANN coefficients are trained by FA to give a new approach in literature for wind turbine parameters’ estimation. The main contribution of this paper is that seven important wind turbine parameters are predicted. -
Qblade Guidelines V0.6
QBlade Guidelines v0.6 David Marten Juliane Wendler January 18, 2013 Contact: david.marten(at)tu-berlin.de Contents 1 Introduction 5 1.1 Blade design and simulation in the wind turbine industry . 5 1.2 The software project . 7 2 Software implementation 9 2.1 Code limitations . 9 2.2 Code structure . 9 2.3 Plotting results / Graph controls . 11 3 TUTORIAL: How to create simulations in QBlade 13 4 XFOIL and XFLR/QFLR 29 5 The QBlade 360◦ extrapolation module 30 5.0.1 Basics . 30 5.0.2 Montgomery extrapolation . 31 5.0.3 Viterna-Corrigan post stall model . 32 6 The QBlade HAWT module 33 6.1 Basics . 33 6.1.1 The Blade Element Momentum Method . 33 6.1.2 Iteration procedure . 33 6.2 The blade design and optimization submodule . 34 6.2.1 Blade optimization . 36 6.2.2 Blade scaling . 37 6.2.3 Advanced design . 38 6.3 The rotor simulation submodule . 39 6.4 The multi parameter simulation submodule . 40 6.5 The turbine definition and simulation submodule . 41 6.6 Simulation settings . 43 6.6.1 Simulation Parameters . 43 6.6.2 Corrections . 47 6.7 Simulation results . 52 6.7.1 Data storage and visualization . 52 6.7.2 Variable listings . 53 3 Contents 7 The QBlade VAWT Module 56 7.1 Basics . 56 7.1.1 Method of operation . 56 7.1.2 The Double-Multiple Streamtube Model . 57 7.1.3 Velocities . 59 7.1.4 Iteration procedure . 59 7.1.5 Limitations . 60 7.2 The blade design and optimization submodule . -
THE ACTORS of a WIND POWER CLUSTER: a CASE of a WIND POWER CAPITAL Journal of Urban and Environmental Engineering, Vol
Journal of Urban and Environmental Engineering E-ISSN: 1982-3932 [email protected] Universidade Federal da Paraíba Brasil M. Sarja, Jari THE ACTORS OF A WIND POWER CLUSTER: A CASE OF A WIND POWER CAPITAL Journal of Urban and Environmental Engineering, vol. 7, núm. 1, -, 2013, pp. 143-150 Universidade Federal da Paraíba Paraíba, Brasil Available in: http://www.redalyc.org/articulo.oa?id=283227995015 How to cite Complete issue Scientific Information System More information about this article Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Journal's homepage in redalyc.org Non-profit academic project, developed under the open access initiative Sarja 143 Journal of Urban and Environmental Journal of Urban and E Engineering, v.7, n.1, p.143-150 Environmental Engineering ISSN 1982-3932 J www.journal-uee.org E doi: 10.4090/juee.2013.v7n1.143150 U THE ACTORS OF A WIND POWER CLUSTER: A CASE OF A WIND POWER CAPITAL Jari M. Sarja1 1Raahe Unit, University of Oulu, Finland Received 5 July 2012; received in revised form 27 March 2013; accepted 28 March 2013 Abstract: Raahe is a medium-sized Finnish town on the western coast of Northern Finland. It has declared itself to become the wind power capital of Finland. The aim of this paper is to find out what being a wind power capital can mean in practice and how it can advance the local industrial business. First, the theoretical framework of this systematic review study was formed by searching theoretical information about the forms of industrial clusters, and it was then examined what kinds of actors take part in these types of clusters. -
Comparative Study of Wind Turbine Placement Methods for Flat Wind Farm Layout Optimization with Irregular Boundary
applied sciences Article Comparative Study of Wind Turbine Placement Methods for Flat Wind Farm Layout Optimization with Irregular Boundary Longyan Wang 1,2,3 1 Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China; [email protected] 2 School of Chemistry, Physics and Mechanical Engineering, Queensland University of Technology, Brisbane 4001, Australia 3 Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada Received: 18 December 2018; Accepted: 11 February 2019; Published: 14 February 2019 Featured Application: The comparative results of the effectiveness of different wind turbine placement methods will facilitate the application of a more advantageous method to be used for the wind farm design, and hence improve the cost effectiveness of wind power exploitation. Abstract: For the exploitation of wind energy, planning/designing a wind farm plays a crucial role in the development of wind farm project, which must be implemented at an early stage, and has a vast influence on the stages of operation and control for wind farm development. As a step of the wind farm planning/designing, optimizing the wind turbine placements is an effective tool in increasing the power production of a wind farm leading to an increased financial return. In this paper, the optimization of an offshore wind farm with an irregular boundary is carried out to investigate the effectiveness of grid and coordinate wind farm design methods. In the study of the grid method, the effect of grid density on the layout optimization results is explored with 20 × 30 and 40 × 60 grid cells, and the means of coping with the irregular wind farm boundary using different wind farm design methods are developed in this paper. -
Selection Guidelines for Wind Energy Technologies
energies Review Selection Guidelines for Wind Energy Technologies A. G. Olabi 1,2,*, Tabbi Wilberforce 2, Khaled Elsaid 3,* , Tareq Salameh 1, Enas Taha Sayed 4,5, Khaled Saleh Husain 1 and Mohammad Ali Abdelkareem 1,4,5,* 1 Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah 27272, United Arab Emirates; [email protected] (T.S.); [email protected] (K.S.H.) 2 Mechanical Engineering and Design, School of Engineering and Applied Science, Aston University, Aston Triangle, Birmingham B4 7ET, UK; [email protected] 3 Chemical Engineering Program, Texas A & M University at Qatar, Doha P.O. Box 23874, Qatar 4 Centre for Advanced Materials Research, University of Sharjah, Sharjah 27272, United Arab Emirates; [email protected] 5 Chemical Engineering Department, Faculty of Engineering, Minia University, Minya 615193, Egypt * Correspondence: [email protected] (A.G.O.); [email protected] (K.E.); [email protected] (M.A.A.) Abstract: The building block of all economies across the world is subject to the medium in which energy is harnessed. Renewable energy is currently one of the recommended substitutes for fossil fuels due to its environmentally friendly nature. Wind energy, which is considered as one of the promising renewable energy forms, has gained lots of attention in the last few decades due to its sustainability as well as viability. This review presents a detailed investigation into this technology as well as factors impeding its commercialization. General selection guidelines for the available wind turbine technologies are presented. Prospects of various components associated with wind energy conversion systems are thoroughly discussed with their limitations equally captured in this report. -
PRE-FEASIBILITY STUDY for OFFSHORE WIND FARM DEVELOPMENT in GUJARAT the European Union Is a Unique Economic and Political Partnership Between 28 European Countries
EUROPEAN UNION PRE-FEASIBILITY STUDY FOR OFFSHORE WIND FARM DEVELOPMENT IN GUJARAT The European Union is a unique economic and political partnership between 28 European countries. In 1957, the signature of the Treaties of Rome marked the will of the six founding countries to create a common economic space. Since then, first the Community and then the European Union has continued to enlarge and welcome new countries as members. The Union has developed into a huge single market with the euro as its common currency. What began as a purely economic union has evolved into an organisation spanning all areas, from development aid to environmental policy. Thanks to the abolition of border controls between EU countries, it is now possible for people to travel freely within most of the EU. It has also become much easier to live and work in another EU country. The five main institutions of the European Union are the European Parliament, the Council of Ministers, the European Commission, the Court of Justice and the Court of Auditors. The European Union is a major player in international cooperation and development aid. It is also the world’s largest humanitarian aid donor. The primary aim of the EU’s own development policy, agreed in November 2000, is the eradication of poverty. http://europa.eu/ PRE-FEASIBILITY STUDY FOR OFFSHORE WIND FARM DEVELOPMENT IN GUJARAT MAY 2015 THIS REPORT IS CO-FUNDED BY THE EUROPEAN UNION Table of contents FOREWORD ...............................................................................................................................6 -
A Change of Mood
FRANCE WIND ENERGY More than agriculture and tourism: in French Burgundy many new jobs are to be created through the expansion of the wind power industry. Photo: pitopia A change of mood In the French Burgundy region no new industrial centres had been set up for a long time. Now that the wind power sector has moved in and set up a supplier cluster, however, things are now looking up again in the region. or many years, looking for wind power projects cy “Bourgogne Développement”. And expansion would have been fruitless. But in 2009 the first could accelerate rapidly in the coming months, for Fwind farm was put up near the regional capital planning approval has already been given for a fur- Dijon. It consists of 25 Vestas V90 turbines totalling ther 199 turbines with a total capacity of 416.6 MW. 50 MW and was a project run by Eole-RES of Avignon. The region in the heart of Eastern France has a And now, more projects are being implemented, with wind power potential which shouldn’t be underesti- the construction of the first wind farm in the Burgundy mated; by 2015, estimates Schuddinck, 717 MW of département of Yonne starting in November 2010, for wind power capacity could be installed in the four example. départements Côte-d’Or, Nièvre, Saône-et-Loire and “There are currently 35 wind turbines in opera- Yonne. The economic promoter points to the results tion in our region, with a total capacity of 70 MW,” re- of a wind atlas which the Burgundy region had ports Emmanuel Schuddinck, who is mainly respon- drawn up in 2005. -
The Case of the Wind Power Cluster in Jeonbuk Province
Emerging Green Clusters in South Korea? The Case of the Wind Power Cluster in Jeonbuk Province Su-Hyun Berg*, Robert Hassink** Abstract Regional innovation systems and clusters represent a fashionable conceptual basis for regional innovation policies in many industrialized countries (including South Korea). Due to questions related to climate change and environment-friendly energy production, the green industry has been increasingly discussed in relation to regional innovation systems and clusters. This explorative paper analyzes these discussions and criti- cally examines the emergence of green clusters in South Korea based on the case of the wind power cluster in Jeonbuk Province. It tentatively concludes that the role of the central government is too powerful and the role of regional actors (policy-makers and entrepreneurs) is too weak for the successful emergence of green clusters. KEYWORDS: emerging green clusters, wind energy industry, regional innovation system, Jeonbuk Province, South Korea 1. INTRODUCTION Regional innovation systems and clusters have been popular among policy-makers in industrialized countries in North America, Europe, and East Asia in order to boost regional economic develop- ment (OECD 2007, 2011; Fritsch and Stephan 2005). Recent interest has focused on emerging clus- ters (Fornahl et al. 2010) and the interrelationship with regional innovation systems. There has been increased interest in the emergence of green clusters and eco-innovation systems due to climate change and other environmental issues (see Cooke 2009, 2010a, 2010b, 2011; Truffer & Coenen 2012; Fornahl et al. 2012). These trends can be observed in South Korea; however, regional innova- * PhD candidate, University of Kiel, Germany, [email protected] **Professor, University of Kiel, Germany, [email protected] 63 STI Policy Review_Vol. -
2012JRC Wind Status Report
2012 JRC wind status report Technology, market and economic aspects of wind energy in Europe Roberto Lacal Arántegui, main author. Teodora Corsatea and Kiti Suomalainen, contributing authors. 2012 Report EUR 25647 EN Cover picture: Sunset wind farm. © Jos Beurskens. European Commission Joint Research Centre Institute for Energy and Transport Contact information Roberto Lacal Arántegui Address: Joint Research Centre, Institute for Energy and Transport. Westerduinweg 3, NL-1755 LE Petten, The Netherlands E-mail: [email protected] Tel.: +31 224 56 53 90 Fax: +31 224 56 56 16 http://iet.jrc.ec.europa.eu http://www.jrc.ec.europa.eu This publication is a Reference Report by the Joint Research Centre of the European Commission. Legal Notice Neither the European Commission nor any person acting on behalf of the Commission is responsible for the use which might be made of this publication. Europe Direct is a service to help you find answers to your questions about the European Union Freephone number (*): 00 800 6 7 8 9 10 11 (*) Certain mobile telephone operators do not allow access to 00 800 numbers or these calls may be billed. A great deal of additional information on the European Union is available on the Internet. It can be accessed through the Europa server http://europa.eu/ JRC77895 EUR 25647 EN ISBN 978-92-79-27956-0 (print) ISBN 978-92-79-27955-3 (pdf) ISSN 1018-5593 (print) ISSN 1831-9424 (online) doi:10.2790/72509 Luxembourg: Publications Office of the European Union, 2013 © European Union, 2013 Reproduction is authorised provided the source is acknowledged. -
Innovation Through Research
The energy transition – a great piece of work Innovation Through Research Renewable Energies and Energy Efficiency: Projects and Results of Research Funding in 2015 Imprint Publisher Technische Universität Dresden (p. 91), Winandy (p. 94), Federal Ministry for Economic Affairs and Energy (BMWi) Rechenzentrum für Versorgungsnetze Wehr (p. 95), ECONSULT Public Relations Department Lambrecht Jungmann Partner www.solaroffice.de (p. 96), 11019 Berlin Blickpunkt Photodesign, D. Bödekes (p. 97), iStock – BeylaBalla www.bmwi.de (p. 98), iStock – acceptfoto (p. 99), E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate of Copywriting the RWTH Aachen University (p. 100 top), RWTH Aachen Project Management Jülich University, E.ON ERC EBC (p. 100 bottom), NSC GmbH (p. 101), Design and production HA Hessenagentur GmbH – Jan Michael Hosan (p. 102), Gerhard PRpetuum GmbH, Munich Hirn, BINE Informationsdienst (p. 103), Salzgitter Flachstahl GmbH (p. 105), INVENIOS Europe GmbH (p. 107), I.A.R. RWTH Status Aachen University (p. 108), Nagel Maschinen und Werkzeug- April 2016 fabrik GmbH (p. 110), Siemens AG (p. 111), Evonik Resource Image credits Efficiency (p. 112), Fotolia – Petair (p. 114), iStock − Nomadsoul1 Bierther/PtJ (cover), BMWi/Maurice Weiss (p. 5), Think- (p. 116), BMW (p. 116), Infineon Technologies AG (p. 117), iStock stock – Petmal (p. 6), Fotolia – Petair (p. 7), Senvion GmbH, – svetikd (p. 118), Dr. Thorsten Fröhlich/Projektträger Jülich 2015 (p. 12), Bierther/PtJ (p. 15), Fotolia – Kara (p. 15), (p. 121), RWTH Aachen University (p. 122), Technische Univer- Deutsches Zentrum für Luft- und Raumfahrt (p. 18/19), sität Hamburg Harburg (p. 123), Fachhochschule Flensburg Fraunhofer IWES (p.