Results of IEA Wind TCP Workshop on a Grand Vision for Wind Energy Technology
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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 -
Characterisation of Intra-Hourly Wind Power Ramps at the Wind Farm Scale and Associated Processes
Wind Energ. Sci., 6, 131–147, 2021 https://doi.org/10.5194/wes-6-131-2021 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. Characterisation of intra-hourly wind power ramps at the wind farm scale and associated processes Mathieu Pichault1, Claire Vincent2, Grant Skidmore1, and Jason Monty1 1Department of Mechanical Engineering, The University of Melbourne, Melbourne, Victoria 3010, Australia 2School of Earth Sciences, The University of Melbourne, Melbourne, Victoria 3010, Australia Correspondence: Mathieu Pichault ([email protected]) Received: 12 May 2020 – Discussion started: 5 June 2020 Revised: 15 September 2020 – Accepted: 8 December 2020 – Published: 19 January 2021 Abstract. One of the main factors contributing to wind power forecast inaccuracies is the occurrence of large changes in wind power output over a short amount of time, also called “ramp events”. In this paper, we assess the behaviour and causality of 1183 ramp events at a large wind farm site located in Victoria (southeast Australia). We address the relative importance of primary engineering and meteorological processes inducing ramps through an automatic ramp categorisation scheme. Ramp features such as ramp amplitude, shape, diurnal cycle and seasonality are further discussed, and several case studies are presented. It is shown that ramps at the study site are mostly associated with frontal activity (46 %) and that wind power fluctuations tend to plateau before and after the ramps. The research further demonstrates the wide range of temporal scales and behaviours inherent to intra-hourly wind power ramps at the wind farm scale. 1 Introduction hourly) ramp forecasts (Zhang et al., 2017; Cui et al., 2015; Gallego et al., 2015a). -
5 Minute Wind Forecasting Challenge: Exelon and GE's Predix
The 5 Minute Wind Forecasting Challenge: Exelon and GE’s Predix At a Glance A move toward digital industrial transformation As a leading utility company with more than $31 billion in global Renewable Energy revenues in 2016 and over 32 gigawatts (GW) of total generation, Exelon knows the importance of taking a strategic view of digital transformation across its lines of business. Challenge Exelon sought to optimize wind power forecasting by predicting wind Exelon was developing strategies for managing its various generation ramp events, enabling the company to dispatch power that could not be assets across nuclear, fossil fuels, wind, hydro, and solar power as well monetized otherwise. The result is higher revenue for Exelon’s large-scale wind farm operations. as determining how it would leverage the enormous amount of data those assets would generate going forward. Solution GE and Exelon teams co-innovated to build a solution on Predix that In evaluating its strategies, the company reviewed its current increases wind forecasting accuracy by designing a new physical and statistical wind power forecast model that uses turbine data on-premises OT/IT infrastructure across its entire energy portfolio. together with weather forecasting data. This model now represents Business leaders looked at the system administration challenges the industry-leading forecasting solution (as measured by a substantial and costs they would face to maintain the current infrastructure, let reduction in under-forecasting). alone use it as a basis for driving new revenue across its business Results units. This assessment made digital transformation an even greater Exelon’s wind forecasting prediction accuracy grew signifcantly, enabling imperative, and inspired discussions about how Exelon could leverage higher energy capture valued at $2 million per year. -
NAWEA 2015 Symposium Book of Abstracts
NAWEA 2015 Symposium Tuesday 09 June 2015 - Thursday 11 June 2015 Virginia Tech Campus Goodwin Hall Book of Abstracts i Table of contents Wind Farm Layout Optimization Considering Turbine Selection and Hub Height Variation ....................... 1 Graduate Education Programs in Wind Energy ................................................................................. 2 Benefits of vertically-staggered wind turbines from theoretical analysis and Large-Eddy Simulations ........... 3 On the Effects of Directional Bin Size when Simulating Large Offshore Wind Farms with CFD ................... 7 A game-theoretic framework to investigate the conditions for cooperation between energy storage operators and wind power producers ............................................................................................................ 9 Detection of Wake Impingement in Support of Wind Plant Control ....................................................... 11 Sensitivity of Wind Turbine Airfoil Sections to Geometry Variations Inherent in Modular Blades ................ 15 Exploiting the Characteristics of Kevlar-Wall Wind Tunnels for Conventional Aerodynamic Measurements with Implications for Testing of Wind Turbine Sections ...................................................................... 16 Spatially Resolved Wind Tunnel Wake Measurements at High Angles of Attack and High Reynolds Numbers Using a Laser-Based Velocimeter .................................................................................................... 17 Windtelligence: -
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. -
Wind Power: Energy of the Future It’S Worth Thinking About
Wind power: energy of the future It’s worth thinking about. »Energy appears to me to be the first and unique virtue of man.« Wilhelm von Humboldt 2 3 »With methods from the past, there will be no future.« Dr. Bodo Wilkens Wind power on the increase »Environmental protection is an opportunity and not a burden we have to carry.« Helmut Sihler When will the oil run out? Even if experts cannot agree on an exact date, one thing is certain: the era of fossil fuels is coming to an end. In the long term we depend on renewable sources of energy. This is an irrefutable fact, which has culminated in a growing ecological awareness in industry as well as in politics: whereas renewable sources of energy accounted for 4.2 percent of the total consumption of electricity in 1996, the year 2006 registered a proportion of 12 per- cent. And by 2020 this is to be pushed up to 30 percent. The growth of recent years has largely been due to the use of wind power. The speed of technical development over the past 15 years has brought a 20-fold rise in efficiency and right now wind power is the most economical regenerat- ive form there is to produce electricity. In this respect, Germany leads the world: since 1991 more than 19.460 wind power plants have been installed with a wind power capacity of 22.247 MW*. And there is more still planned for the future: away from the coastline, the offshore plants out at sea will secure future electricity supplies. -
Prognostics and Health Management of Wind Turbines: Current Status and Future Opportunities Shuangwen (Shawn) Sheng
Prognostics and Health Management of Wind Turbines: Current Status and Future Opportunities Shuangwen (Shawn) Sheng 2016 PHM Society Annual Conference Denver, Colorado October 4, 2016 NREL/PR-5000-67283 Outline . Introduction . Current status . Challenges and opportunities Photo by Lee Jay Fingersh, NREL 17245 2 Introduction: Global Wind Energy Figure from [1] Photo by HC Sorensen, Photo by Iberdrola Renewables, Inc., NREL 16706 Middelgrunden Wind Turbine Cooperative, NREL 17856 3 Reliability of Turbine Subassemblies: Old Statistics Failure/turbine/year and downtime from two large surveys of land-based European wind turbines during 13 years Electrical System LWK Failure Rate, approx 5800 Turbine Years Electrical Control WMEP Failure Rate, approx 15400 Turbine Years Other LWK Downtime, approx 5800 Turbine Years Hydraulic System WMEP Downtime, approx 15400 Turbine Years Yaw System Rotor Hub Mechanical Brake Rotor Blades Gearbox Generator Drive Train Figure from [2] 1 0.75 0.5 0.25 0 2 4 6 8 10 12 14 Failure/turbine/year Downtime per failure (days) • The Wissenschaftliches Mess-und Evaluierungsprogramm (WMEP) database was accomplished from 1989 to 2006 and contains failure statistics from 1,500 wind turbines [3]. • Failure statistics published by Landwirtschaftskammer Schleswig-Holstein (LWK) from 1993 to 2006 contain failure data from more than 650 wind turbines [3]. 4 Outage Duration for Different Subsystems: New Statistics . Downtime caused by premature component/subsystem failures, led by gearboxes, challenges the wind industry and results in an increased cost of energy for wind power. Average Turbine Outage Duration for Failures >1 Hour (days) 6 - Mechanical: yaw systems, mechanical brakes, hydraulic systems, rotor hubs, drivetrain 4 - Electrical: sensors, electrics, control systems. -
A Critical Review of Wind Power Forecasting Methods—Past, Present and Future
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Enlighten energies Review A Critical Review of Wind Power Forecasting Methods—Past, Present and Future Shahram Hanifi 1, Xiaolei Liu 1,* , Zi Lin 2,3,* and Saeid Lotfian 2 1 James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK; s.hanifi[email protected] 2 Department of Naval Architecture, Ocean and Marine Engineering, University of Strathclyde, Glasgow G4 0LZ, UK; saeid.lotfi[email protected] 3 Department of Mechanical & Construction Engineering, Northumbria University, Newcastle upon Tyne NE1 8ST, UK * Correspondence: [email protected] (X.L.); [email protected] (Z.L.) Received: 16 June 2020; Accepted: 20 July 2020; Published: 22 July 2020 Abstract: The largest obstacle that suppresses the increase of wind power penetration within the power grid is uncertainties and fluctuations in wind speeds. Therefore, accurate wind power forecasting is a challenging task, which can significantly impact the effective operation of power systems. Wind power forecasting is also vital for planning unit commitment, maintenance scheduling and profit maximisation of power traders. The current development of cost-effective operation and maintenance methods for modern wind turbines benefits from the advancement of effective and accurate wind power forecasting approaches. This paper systematically reviewed the state-of-the-art approaches of wind power forecasting with regard to physical, statistical (time series and artificial neural networks) and hybrid methods, including factors that affect accuracy and computational time in the predictive modelling efforts. Besides, this study provided a guideline for wind power forecasting process screening, allowing the wind turbine/farm operators to identify the most appropriate predictive methods based on time horizons, input features, computational time, error measurements, etc. -
Structure, Equipment and Systems for Offshore Wind Farms on the OCS
Structure, Equipment and Systems for Offshore Wind Farms on the OCS Part 2 of 2 Parts - Commentary pal Author, Houston, Texas Houston, Texas pal Author, Project No. 633, Contract M09PC00015 Prepared for: Minerals Management Service Department of the Interior Dr. Malcolm Sharples, Princi This draft report has not been reviewed by the Minerals Management Service, nor has it been approved for publication. Approval, when given, does not signify that the contents necessarily reflect the views and policies of the Service, nor does mention of trade names or commercial products constitute endorsement or recommendation for use. Offshore : Risk & Technology Consulting Inc. December 2009 MINERALS MANAGEMENT SERVICE CONTRACT Structure, Equipment and Systems for Offshore Wind on the OCS - Commentary 2 MMS Order No. M09PC00015 Structure, Equipment and Systems: Commentary Front Page Acknowledgement– Kuhn M. (2001), Dynamics and design optimisation of OWECS, Institute for Wind Energy, Delft Univ. of Technology TABLE OF CONTENTS Authors’ Note, Disclaimer and Invitation:.......................................................................... 5 1.0 OVERVIEW ........................................................................................................... 6 MMS and Alternative Energy Regulation .................................................................... 10 1.1 Existing Standards and Guidance Overview..................................................... 13 1.2 Country Requirements. .................................................................................... -
CHAPTER 6 Design and Development of Megawatt Wind Turbines
CHAPTER 6 Design and development of megawatt wind turbines Lawrence D. Willey General Electric Energy Wind, USA. Electric power generation is the single most important factor in the prosperity of modern man. Yet, increasing concerns over carbon emissions from burning fossil fuels have brought large-scale renewable energy technologies to the forefront of technological development. Framework for the successful design and develop- ment of large wind turbines (WTs) addresses the world’s power generation needs. The motivation for this work, the broad framework for success, the best approach for product design, various techniques and special considerations, and develop- ment aspects are presented. Horizontal axis WTs operating inland or in near-shore applications are specifi cally addressed. 1 Introduction Supplies of fossil fuels are inadequate to meet the growing need for more power generation, which is driven by increasing demand for electricity [ 1, 2 ]. The hori- zontal axis wind turbine (HAWT) is one of the most economical forms of modern power generation. HAWTs have numerous benefi ts: they conserve dwindling fos- sil fuel resources, reduce harmful emissions, and support a sustainable electric energy infrastructure for posterity. Large wind turbines (WTs) are an engineering challenge; they must endure some of the largest numbers of fatigue cycles for structures while meeting size and cost constraints [49]. New WTs must maximize reliability, availability, maintenance, and serviceability (RAMS) while having the lowest cost of energy (CoE) and highest net present value (NPV) for a customer and an original equipment manufacturer (OEM) [50]. One of the biggest motiva- tions for accelerating technological development of WTs is in support for the U.S. -
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. -
Energia Eólica Panfleto Dez07
EEEEnnnneeeerrrrggggiiiiaaaa EEEEóóóólllliiiiccccaaaa DDDeeezzzeeemmmbbbrrrooo 222000000777 INEGI O INEGI - Instituto de Engenhar ia Mecânica e Gestão Industrial tem procurado , desde a sua criação, fomentar e empenhar -se no estudo da utilização das fontes de energia não convencionais, e na poupança e utilização racional da energia. Dedicando -se ao estudo do aproveitamento da Energia Eólica, o INEGI pretende apoiar o desenvolvimento das energias renováveis, contribuindo para a diversificação dos recursos primários usados na geração de elect ricidade e para a preservação do meio ambiente. Desde 1991, o INEGI tem uma equipa especialmente dedicada à Energia Eólica . Para além do planeamento e condução de campanhas de avaliação do recurso eólico, o INEGI disponibiliza hoje diversos outros serviço s relacionados com o tema, como sejam os cálculos de produtividade e a optimização da configuração de parques eólicos, a realização de estudos de viabilidade técnico -económica de projectos, o apoio na elabor ação de cadernos de encargos, apreciação de propo stas e comparação de soluções, a avaliação do desempenho de aerogeradores, a verificação de garantias de produção , a realização de auditorias e avaliaç ões de projectos para instituições financeiras e outras e o apoio em acções de planeamento e ordenamento. Inicialmente restritas ao Norte e Centro de Portugal, as actividades do INEGI neste domínio estendem -se actualmente a todo o país e, desde 1999, também ao estrangeiro. Fazendo uso da experiência adquirida pela participação dos colaboradores em projectos i nternacionais, foram adoptadas metodologias e técnicas de operação que permitem fornecer aos seus clientes serviços de qualidade. Através do contacto com institutos congéneres e consultores de toda a Europa, e da participação em conferências e seminários i nternacionais, procura o INEGI manter -se actualizado nos recursos e nas práticas seguidas.