EWEA2011 Reliawind side event 15 March 2011

Transcription

1 ReliaWind Objectives & Dissemination EWEA2011 Reliawind side event 15 March 2011 Peter Tavner, Durham University

2 Project Rationale First European wind project bringing together stakeholders from Wind Energy Value Chain to develop tools, models and design guidelines for upcoming costeffective onshore and offshore Wind Turbine Generators (WTG). 10 partners representing the full Value Chain, ranging from Industry to Academia. 10 partners capable of achieving European technological leadership, increasing knowledge to master reliability design, operation & maintenance of WTG; A fast-track 36-month project: start 15/03/2008; Strongly results-oriented (81 deliverables); Budget of Euro 7,7 million; Proposed EC contribution of a maximum of Euros 5,1 million.

3 Technological Background Future wind power evolution is offshore. For Operations & Maintenance (O&M), key offshore success factors are: Wind turbine designs for reduced maintenance implying: Use high reliability components Reduce overall number of components and simplicity of design Modular wind turbine design facilitating interchangeable modules Effective CMS and SCADA Resiting electrical units into environment-controlled sections Implementation of corrosion-protection technology Develop maintenance strategies for service and repair actions Reduce offshore working time Improve access methods, less sensitive to wind/wave conditions Develop innovative holistic designs for offshore WTG, where design is not mere up-scaling of conventional onshore designs.

4 Project Objectives Objective 1: Identify Critical Failures and Components Defined as: High value components Reliability sensitive i.e. high failure rate from historical experience New technology or processes applied to the component Single failure points that cause the total loss of the WTG Single source components Define failure causes, modes, and effects at component, subsystem and system level based on the analysis of available operational data. Define Reliability Allocations at system and sub-system level based on historical data.

5 Project Objectives Objective 2: Understand Failure Mechanisms Identify, evaluate and document component failures, impact of each failure on systems & sub-system and eliminate or mitigate unacceptable effects. Perform Weibull analysis on component populations, determine when wearout begins and effectiveness of repair/discard actions. Identify & develop possible fault tolerant mechanisms, such as sub-assembly or component redundancy, to ensure failure propagation contained at component level and end effects do not impact WTG operational availability. Match component failure rates to scheduled inspections, providing failure indicators so failures can be anticipated, reducing risk of maintenance-induced failures and facilitate inspection with minimal tools.

6 Project Objectives Objective 3: Define a Logical Architecture Identify & select best sensing technology for each critical failure mode, or develop new devices. Define expert system that best fits WTG supervisory control, diagnostics & prognostics the needs eg neural network, fuzzy logic, unsupervised or supervised learning. Define & develop a predictive WTG SCADA, that optimize power production & WTG imposed loads for critical components to maximize component reliability & WTG availability. Develop remote diagnosis system with a high defect detection and location rate and low false alarm rate. Develop predictive tools for maintenance planners to predict future WTG condition and plan maintenance to optimize resources.

7 Project Objectives Objective 4: Demonstrate Principles of Project Define common standards to guarantee interoperability between different manufacturers and operators. Integrate technologies, methods and applications in consistent set of remote control and monitoring tools. Develop consistent applications to enable O&M optimisation maximizing WTG availability and Cost of Energy for onshore and offshore wind farms. Objective 5: Train Partners and Stakeholders Provide training to partners and other stakeholders about reliability, modelling and information tools to enable a more reliability-minded approach Objective 6: Disseminate New Knowledge. Disseminate the findings to Wind Energy Sector in EU to be achieved through Conferences, Workshops, web-site and media initiatives.

8 Project Objectives vs Work Packages Objectives and associated work plan WP-1 WP-2 WP-3 WP-4 WP-5 WP-6 Objective 1 To identify Critical Failures and Components Field Reliability Analysis Objective 2 To understand Failures and Their Mechanisms Design for Reliability Objective 3 To define the Architecture of a Health Monitoring System Algorithms Objective 4 To demonstrate the Principles of the Project Findings Applications Objective 5 To train internal and external partners Training Objective 6 To disseminate the new knowledge through Conferences, Workshops, Web Site and Media Dissemination

9 Project Architecture Integration SCADA Diagnosis & Prognosis Algorithms, Action Logic Sensors, Signals & Processing System, Components & Reliability Engineering Management & Coordination

10 Quantitative Objectives Mean Time Between Failures (MTBF): Offshore: 20% increase Onshore: 10% increase Mean Time to Repair (MTTR) Offshore: 50% reduction Onshore: 20% reduction Operational Availability (%) Offshore availability: 97-98%, (currently 85-90%) Onshore availability: 98-99% (currently 97-98%) Cost of Energy (CoE): < 0.04 /kwh

11 Project Consortium- Showing integration in Value Chain Research Institutions: SZTAKI Durham University Components Manufacturers: LM Wind Power Hansen Transmissions ABB SKF GL Garrad Hassan WTG Manufacturers: Alstom Wind Power Gamesa Wind Farm Owners: Users Working Group, Reliability Panel Reliability Software Specialist Firm: PTC-Relex

12 System/Component Partner Responsibility System / Component Responsible Partner Pitch System (Electrical & Hydraulic) Alstom Wind Power Gamesa Blades Blade Bearings Gearbox Hub, Main shaft, Main frame, Rear structure, Cover, Tower, Foundation, Yaw system Converter, Transformer, Switch Gear, Generator LM Wind Power SKF Hansen & SKF Alstom Wind Power ABB Control GL Garrad Hassan Gamesa Auxiliary Equipment Wind Farm Systems Gamesa Gamesa

13 ReliaWind Dissemination-Conferences Partners have presented ReliaWind s work at international conferences as invited speakers: Sandia Reliability Conference, Albuquerque, USA, May 2009 Wind Farm O&M, Glasgow, UK, May 2010 Operation & Maintenance Forum, London, UK, May 2010 Offshore Wind Conference of Renewables, Liverpool, UK, June 2010 International Conference of Electrical Machines, Rome, Italy, Sep 2010 European Academy of Wind Energy Seminar, Trondheim, Norway, Sep 2010 Ocean Power Fluid Machinery Seminar, IMechE, London, UK, Oct 2010 Narec Offshore Wind Conference, Sedgefield, UK, Oct 2010 IQPC Drive Train Innovation for Wind Turbines Seminar, Hamburg, Germany, Oct th IEC Meeting Availability of wind turbines and wind turbine plants, Feldkirch, Austria, Oct 2010 Renewables UK Conference, Glasgow, UK, Nov 2010 Renewables Seminar, Lloyds of London, UK. Jan th IEC Meeting on Availability of wind turbines and wind turbine plants, Oslo, Norway, Feb 2011 Wind Farm O&M, Glasgow, UK, May 2011 Operation & Maintenance Forum, Barcelona, Spain, May 2011 WT Condition Monitoring Workshop- NREL Labs, Golden Colorado, USA, Sept 2011

14 ReliaWind Dissemination-Website

15 ReliaWind Dissemination M. R. Wilkinson, K. Harman, P. J. Tavner, B. Hendriks, Derivation of wind turbine reliability profiles from operational data, European Wind Energy Conference and Exhibition, Marseille, France, March W Yang, P. J. Tavner C. J. Crabtree, An intelligent approach to the condition monitoring of large scale wind turbines, European Wind Energy Conference and Exhibition, Marseille, France, March S. Djurovic S. Williamson, P.J. Tavner, W. Yang, Condition monitoring artefacts for detecting winding faults in wind turbine DFIGs, European Wind Energy Conference and Exhibition, Marseille, France, March S. Watson, B. Xiang, W. Yang, P. Tavner, C. Crabtree, Condition Monitoring of a Wind Turbine Doubly-fed Induction Generator, European Wind Energy Conference and Exhibition, Marseille, France, March Chris Elkinton, Michael Wilkinson, Keir Harman, Derivation Of Wind Turbine Reliability Profiles From Operational Data, Windpower 2009 Conference organised by American Wind Energy Association (AWEA), Chicago, 4th- 7th May Monostori L, Viharos ZJ, Erdős G, and Kovács A, AI supported maintenance and reliability system in wind energy production, International Symposium on Methods of Artificial Intelligence, AI-METH, Gliwice, Poland, November 18-20, Zs. J. Viharos, L. Monostori, G. Erdős, A. Kovács, AI Supported Maintenance and Reliability System in Wind Energy Production, European Wind Energy Conference, Warsaw, Garrad Hassan & Partners, Gamesa, Alstom Ecotecnia, Durham University, Methodology and Results of the Reliawind Reliability Field Study, Scientific Track, European Wind Energy Conference, Warsaw, 2010.

16 ReliaWind Dissemination K Smolders, H Long, Y Feng, P J Tavner, Reliability Analysis and Prediction for Wind Turbine Gearboxes, Scientific Track, European Wind Energy Conference, Warsaw, P J Tavner, R Gindele, S Faulstich, B Hahn, M W G Whittle, Study of Effects of Weather & Location on Wind Turbine Failure Rates, European Wind Energy Conference, Warsaw, C Crabtree, Y Feng, P J Tavner, Detecting Incipient Gearbox Failure in Wind Turbines: A New Signal Analysis Method for On-line Condition Monitoring, Scientific Track, European Wind Energy Conference, Warsaw, P J Tavner, A Higgins, H Arabian, H Long, Y Feng, Use of the FMEA to Wind Turbine Availabilities, European Wind Energy Conference, Warsaw, A Firth, H Long, A Design Software Tool for Conceptual Design of Wind Turbine Gearboxes, European Wind Energy Conference, Warsaw, M Wilkinson, F Spinato, Measuring & Understanding Wind Turbine Reliability, Poster, Reliawind-SuperGen Side Event, European Wind Energy Conference, Warsaw, Luis Cárceles, Juan I. Lopez, Prognosis from SCADA data in Wind Turbines, Poster, Reliawind-SuperGen Side Event, European Wind Energy Conference, Warsaw, Eugenio Gómez Santiago, Design for Reliability, Poster, Reliawind-SuperGen Side Event, European Wind Energy Conference, Warsaw, Y Feng, P J Tavner, H Long, J Bialek, Review of Early Operation of UK Round 1 Offshore Wind Farms, accepted by IEEE PES 2010 General Meeting, USA, 2010.

17 ReliaWind Dissemination-Journals 1. Tavner P J, Wind power as a clean energy contributor, Energy Policy, 2008, Elsevier. 2. W. Yang, P.J. Tavner, M.R. Wilkinson, Condition monitoring and fault diagnosis of a wind turbine synchronous generator drive train, IET Renew. Power Gener., 2009, Vol. 3, No. 1, pp H. Guo, S. J. Watson, P. J. Tavner, J. Xiang, Reliability analysis for wind turbines with incomplete failure data collected from after the date of initial installation, Reliability Engineering and System Safety, F. Spinato, P.J. Tavner, G.J.W. van Bussel, E. Koutoulakos, Reliability of wind turbine subassemblies, IET Renew. Power Gener, 2009, Vol. 3, Iss. 4, pp W. Yang, P.J. Tavner, C.J. Crabtree, M.R. Wilkinson, Cost-effective Condition Monitoring for Wind Turbines, IEEE Transactions on Industrial Electronics, Vol.57, No.1, S.J. Watson, B.J. Xiang, W. Yang, P.J. Tavner, C.J. Crabtree, Condition Monitoring of the Power Output of Wind Turbine Generators using Wavelets, IEEE Transactions on Energy Conversion, accepted for publication. 7. Y. Feng, P.J. Tavner, H. Long, Early Experiences of UK Round 1 Offshore Wind Farms, Proceedings of the Institution of Civil Engineers Energy, invited paper to appear on 2010 November issue.

18 ReliaWind Dissemination-EWEC

19 ReliaWind Dissemination-EWEA

20 Thank You Useful Documents. Website: Monograph of published papers Project Platform containing Deliverables, some in Public Domain including: ReliaWind D.1.1 LiteratureReview ReliaWind D.1.2 Reliability Profiles Methods ReliaWind D.1.3 Reliability Profiles Results ReliaWind D Common Reliability Analysis Methods & Procedures ReliaWind D Functional Block Diagrams & Specifications ReliaWind D Whole System Reliability Model, Summary ReliaWind D.6.7 Recommendations for Standardisation