China Wind Power 2011,Beijing Agenda
Total Page：16
File Type：pdf, Size：1020Kb
Load more
Recommended publications
-
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: -
1 2014 China Wind Power Review and Outlook
2014 China Wind Power Review and Outlook 1 2014 China Wind Power Review and Outlook Written by Chinese Renewable Energy Industries Association (CREIA) Chinese Wind Energy Association (CWEA) Global Wind Energy Council (GWEC) Authors Li Junfeng/Cai Fengbo/Qiao Liming/Wang Jixue/Gao Hu Tang Wenqian/Peng Peng/Geng Dan/Li Xiuqin/Li Qionghui Contents >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> I. China Wind Power Development Overview..........................1 I. China Wind Power Development Overview..................................2 1.1 General Development...............................................................2 1.2 The Development Potential of China Wind Power......................6 1.3 The Wind Power Equipment Manufacturing Industry: General Information...................................................................6 1.4 Development by Provinces, Autonomous Regions and Municipalities...........................................................................10 1.5 Construction of Large-scale Wind Bases.................................13 1.6 Wind Farm Developers............................................................13 1.7 Offshore Wind Power...............................................................15 1.8 Exports and Overseas Investment...........................................18 2. Key Issues for the Wind Power Industry....................................22 2.1 Adjustment of the Wind FIT.....................................................24 2.2 FIT Premium Reimbursement Delay and Its Impacts on the Supply -
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. -
China Wind Power Study 2008
WIND POWER IN CHINA 2008 2008 年中国风电发展状况分析及前景展望 AN ANALYSIS OF THE STATUS QUO AND PERSPECTIVES FOR DEVELOPMENT Updated Edition (February 2010) by PAUL RECKNAGEL on behalf of China Wind Power Project (CWPP) Gesellschaft für Technische Zusammenarbeit (GTZ) CWPP China Wind Power Study 2008 Abstract This study provides a comprehensive overview of wind power in China in the year 2008 and offers an outlook to future development. In order to provide a sound basis for the alignment of the German Development Corporation’s (GTZ) wind power activities with actual market conditions, government policies as well as other determinants of wind power development are analyzed and possible pitfalls for development identified. As a conclusion, the study presents recommendations for measures to promote a long-term sustained development of wind power in China. Website www.cwpc.cn Contact Andreas DuBois, Project Director - [email protected] Paul Recknagel, Project Consultant - [email protected] II CWPP China Wind Power Study 2008 Table of Contents 1 INTRODUCTION 1 1.1 BACKGROUND................................................................................................................................1 1.2 CONTENT & METHODOLOGY.........................................................................................................3 2 THE GLOBAL DEVELOPMENT OF WIND POWER 5 2.1 DEVELOPMENT OF THE GLOBAL WIND POWER MARKET..............................................................5 2.2 DRIVERS AND TRENDS OF WIND POWER DEVELOPMENT..............................................................7 -
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. -
Make the Right Connections Photo: Roehle Gabriele
Make the right connections Photo: Roehle gabriele Event Guide EWEA Annual Event 14 - 17 March 2011, Brussels - Belgium Table of contents Conference ....................................................................................................... 4 - 44 Conference programme ....................................................................................... 4 Poster presentations ......................................................................................... 26 Belgian Day ...................................................................................................... 38 Workshops ....................................................................................................... 40 Side events ...................................................................................................... 42 Useful Information .......................................................................................... 46 - 52 Practical information ......................................................................................... 46 Relaxation area ................................................................................................. 49 Social events .................................................................................................... 50 Sustainability ................................................................................................... 52 Thank you ...................................................................................................... 54 - 61 Supporting organisations -
Potential Benefits of Wind Forecasting and the Application of More-Care in Ireland Ruairi Costello, Damian Mccoy, Philip O’Donnel, Geoff Dutton, Georges Kariniotakis
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Archive Ouverte en Sciences de l'Information et de la Communication Potential benefits of wind forecasting and the application of more-care in Ireland Ruairi Costello, Damian Mccoy, Philip O’Donnel, Geoff Dutton, Georges Kariniotakis To cite this version: Ruairi Costello, Damian Mccoy, Philip O’Donnel, Geoff Dutton, Georges Kariniotakis. Potential benefits of wind forecasting and the application of more-care in Ireland. Med power 2002, Nov Athènes, Greece. hal-00534004 HAL Id: hal-00534004 https://hal-mines-paristech.archives-ouvertes.fr/hal-00534004 Submitted on 4 May 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Potential Benefits of Wind Forecasting and the Application of More-Care in Ireland R. Costello*, D. McCoy, P. O’Donnell A.G. Dutton G.N. Kariniotakis ESB National Grid CLRC Rutherford Appleton Laboratory Ecole des Mines de Paris/ARMINES, Power System Operations Energy Research Unit Centre d’Energétique Ireland United Kingdom France. * ESB National Grid, 27 Fitzwilliam Street Lower, Dublin 2, Tel: +353-1-7027245, Fax: +353-1- 4170539, [email protected] ABSTRACT: The Irish Electricity System and its future II. -
PC-Based Control for Wind Turbines
PC-based Control for Wind Turbines IPC I/O Automation In-depth technological expertise for wind power Beckhoff technological expertise … For over 30 years Beckhoff has been implementing automation solutions on the basis of PC-based control technology, which have been proven in the most diverse industries and applications. The globally operative company, with headquarters and production site located in Verl, Germany, employs over 2100 people worldwide*. With 30 subsidiary companies* as well as distributors, Beckhoff is represented in over 60 countries. Beckhoff achieved a total turnover of 465 million Euros in 2011. Thanks to constant technological innovations and economic growth as well as a high verti- cal integration and large production capacities, Beckhoff guarantees long-term availability and reliability in product delivery. Robust, industry-proven components and more than 12 years of expertise in wind power make Beckhoff a competent and reliable partner. A global team of experts ensures worldwide support, with local service and support to customers. * (as of 03/2012) 2 We reserve the right to make technical changes. … enables higher wind turbine effi ciency and availability. Automation technology from Beckhoff is used in over 20,000 wind turbines worldwide up to a size of 5 MW – both onshore and offshore. The high degree of integration as well as the use of IT and automation standards make PC-based control technology a powerful and effi cient solution with an optimum price-to- perfor mance ratio. In addition to the hardware platform, Beckhoff also supplies a complete software solution for operational management. Further software func- tion blocks, e.g. -
NOVA SCOTIA DEPARTMENTN=== of ENERGY Nova Scotia EXPORT MARKET ANALYSIS
NOVA SCOTIA DEPARTMENTN=== OF ENERGY Nova Scotia EXPORT MARKET ANALYSIS MARCH 2017 Contents Executive Summary……………………………………………………………………………………………………………………………………….3 Best Prospects Charts…….………………………………………………………………………………….…...……………………………………..6 Angola Country Profile .................................................................................................................................................................... 10 Australia Country Profile ................................................................................................................................................................. 19 Brazil Country Profile ....................................................................................................................................................................... 30 Canada Country Profile ................................................................................................................................................................... 39 China Country Profile ....................................................................................................................................................................... 57 Denmark Country Profile ................................................................................................................................................................ 67 Kazakhstan Country Profile .......................................................................................................................................................... -
Wind Generation Forecasting Methods and Proliferation of Artificial Neural
sustainability Review Wind Generation Forecasting Methods and Proliferation of Artificial Neural Network: A Review of Five Years Research Trend Muhammad Shahzad Nazir 1,* , Fahad Alturise 2 , Sami Alshmrany 3, Hafiz. M. J Nazir 4, Muhammad Bilal 5 , Ahmad N. Abdalla 6, P. Sanjeevikumar 7 and Ziad M. Ali 8,9 1 Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China 2 Computer Department, College of Science and Arts in Ar Rass, Qassim University, Ar Rass 51921, Saudi Arabia; [email protected] 3 Faculty of Computer and Information Systems, Islamic University of Madinah, Madinah 42351, Saudi Arabia; [email protected] 4 Institute of Advance Space Research Technology, School of Networking, Guangzhou University, Guangzhou 510006, China; [email protected] 5 School of Life Science and Food Engineering, Huaiyin Institute of Technology, Huai’an 223003, China; [email protected] 6 Faculty of Information and Communication Engineering, Huaiyin Institute of Technology, Huai’an 223003, China; [email protected] 7 Department of Energy Technology, Aalborg University, 6700 Esbjerg, Denmark; [email protected] 8 College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Wadi Addawaser 11991, Saudi Arabia; [email protected] 9 Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan 81542, Egypt * Correspondence: [email protected] or [email protected]; Tel.: +86-1322-271-7968 Received: 8 April 2020; Accepted: 23 April 2020; Published: 6 May 2020 Abstract: To sustain a clean environment by reducing fossil fuels-based energies and increasing the integration of renewable-based energy sources, i.e., wind and solar power, have become the national policy for many countries.