WIND FARM DATA MANAGEMENT & ANALYSIS Successful data management strategies to reduce maintenance costs & improve turbine performance 20-21 November 2012 www.windfarmdata.com Radisson Blu Hotel, Hamburg, Germany Now in its 2nd year, this award-winning* business event provides an unparalleled opportunity to network with leading experts in using data to improve wind data performance: • Discover how to standardise wind farm data supply & management when working with a variety of turbine types • Hear first-hand how to analyse & use data to effectively predict turbine maintenance • Gain insight into what tools exist to manage large & rapidly increasing amounts of data • Find out more about external data management systems currently on the market, what you can learn from them & how cost-effective they really are • Get the latest thinking on who should own the data & why DON’T MISS THE POST-EVENT WORKSHOP Data Management Best Practice To Effectively Calculate Power Curve Bob Sherwin, Project Leader, IEC Simon Trist, VP Plant SCADA & Optimisation Solutions, Vestas Marc Eickershoff, Product Management SCADA, REpower systems SE Mirjam de Boer-Postmus, Head Operations Benelux, BU Wind Generation, Vattenfall Joanna McKenzie, Wind Analyst, SSE Renewables Richard Nichol, Product Development Manager, Vestas Nicola Atkinson, Senior Technical Analyst, RES Group Kasper Van Lombeek, O&M Engineer, Belwind Dr. Rudolf Zauner, Head of Operations, Verbund Renewable Power GmbH Rui Maia, Head of Operation & Maintenance, Iberwind Walter Bourgoin, Manager Renewables Control Systems, ESBi Volker Arlt, Project Manager Central Engineering, Nordex Book before 2 November & Save up to £350! Sponsored By: 10751 Wind Farm Data Brochure Updates_10780 Wind Foundations Brochure 15/10/2012 12:37 Page 1
Join Windpower Monthly’s 2nd annual Wind Farm Data Management & Analysis Forum on 20-21 November to examine the key challenges concerning data management, analysis and interpretation. It has never been more important to capitalise on the full potential of turbine data in order to ensure costs are kept to a minimum and to increase profitability. Ensuring that your data is of consistent quality, and reducing gaps in datasets is growing to be crucial as O&M decision-making becomes more focused on performance and condition monitoring.
The Wind Farm Data Management & Analysis Forum will offer delegates an unparalleled opportunity to network with industry experts, and will enable you to:
- Learn how to standardise wind farm data supply and management when working with a variety of turbine types Hear first-hand how to analyse and manipulate data to effectively predict turbine maintenance Gain insight into what tools exist to manage large and rapidly increasing amounts of data Discover what external data management devices currently exist, what you can learn from them and how cost-effective they are Debate the issue of who should own the data and how to ensure OEMs and operators are contented
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
WIND FARM DATAMANAGEMENT & ANALYSIS Successful data management strategies to reduce maintenance costs & improveturbine performance
20-21 November 2012
www.windfarmdata.com
Radisson Blu Hotel, Hamburg, Germany
Now in its 2nd year, this award-winning* business event provides anunparalleled opportunity to network with leading experts in using data toimprove wind data performance:
• Discover how to standardise wind farm data supply & management when working
with a variety of turbine types
• Hear first-hand how to analyse & use data to effectively predict turbine maintenance
• Gain insight into what tools exist to manage large & rapidly increasing amounts of data
• Find out more about external data management systems currently on the market,
what you can learn from them & how cost-effective they really are
• Get the latest thinking on who should own the data & why
DON’T MISS THE POST-EVENT WORKSHOPData Management Best Practice To EffectivelyCalculate Power Curve
Bob Sherwin, Project Leader, IEC
Simon Trist, VP Plant SCADA & Optimisation Solutions, Vestas
Marc Eickershoff,Product Management SCADA, REpower systems SE
Mirjam de Boer-Postmus, Head Operations Benelux, BU WindGeneration, Vattenfall
Joanna McKenzie,Wind Analyst, SSE Renewables
Richard Nichol,Product Development Manager, Vestas
Nicola Atkinson,Senior Technical Analyst, RES Group
Kasper Van Lombeek, O&M Engineer, Belwind
Dr. Rudolf Zauner, Head of Operations, Verbund Renewable Power GmbH
Rui Maia,Head of Operation & Maintenance, Iberwind
Walter Bourgoin,Manager Renewables Control Systems, ESBi
Volker Arlt, Project Manager Central Engineering, Nordex
09:30 Achieving Greater Availability ThroughStandardisation In Data ManagementMarc Eickershoff, Product Management SCADA, REpower Systems SE• Standardisation in data structure & communication for easier reporting – what is in place? IEC 61400-25 – what needs further improvement? – outlook of future development of the standard
10:00 Improving The Quality Of Supply To EnsureReliabilityDr. Rudolf Zauner, Head of Operations, Verbund Renewable Power GmbH• What type of data needs to be collected to have a clear picture of
turbine’s performance• Creating consistency in flow of data – what are the gaps & how do they occur? • Achieving the best possible estimation of data during reporting • How to supply & measure higher frequency data• Integrating environmental data into turbine data management – weather & wind forecast – tidal periodicity & seabed fluctuations
10:30 Morning Refreshments & Networking
11:00 Better Understand Turbines By Turning DataInto Useful Information • Data volume strategy: reducing the data you adhere to vs. using the
breadth of available tools & managing large amounts of data better • Relating SCADA data to turbine health – how to validate turbine condition information – correlating historical data with the real-time production data• Calculating turbine production & availability – how power curves are applied in the production levels calculations – performance vs. time-based availability using SCADA• Relating condition monitoring data to power production levels• Making the most of data by further data mining on Enterprise Resource
Planning level – how is the data used by O&M & Finance departments?
11:30 Data Storage: Handling Increasingly LargeAmounts Of Data Joanna McKenzie, Wind Analyst, SSE Renewables• Best-practice management of historic turbine performance databases • Combining time series data & related information using one centralised
software application landscape • Key consolidation & storage methods to cope with growing amounts of
data • How to extract archived data in the most user-friendly manner
12:00 Networking Lunch
13:15 Data Collection & Analysis As Input For O&MCost ModellingRené van de Pieterman, Researcher Wind Energy Systems, ECN• Structuring of raw data for O&M purposes – operational wind farm data as input for O&M cost modelling; ECN’s
Operation & Maintenance Cost Estimator (OCME) approach – assessing the need for structured data collection
• Data analysis for reliability engineering & O&M optimisation – information required to perform reliability engineering & O&M cost
estimations in relation to the Event List – OMCE Building Blocks to obtain wind farm performance indicators &
accurate input for O&M modelling• Using the processed data for maintenance modelling & performing
scenario studies
13:45 How Can Remote Communications & DataControl Be Improved?Walter Bourgoin, Manager Renewables Control Systems, ESBi• Developing permanent & stable connections to wind farms remotely• Cables, GPRS & satellite connections – where does the cost reach parity with the quality? • How to efficiently report live data at first & second communication levels – process flow between different communication channels• How to deal with the difficulties of integrating data from various site
locations into one live system – different data structures & protocols for data transfer – accommodating out-of-sequence data
14:15 Advancing Turbine Health Diagnostics:Challenges & Solutions Rui Maia, Head of Operation & Maintenance, Iberwind • Best-practice methods to manage condition reporting for both
mechanical & electrical components – drive train, blades & electrical components – how the information fits into SCADA & other existing systems• Integrating SCADA & CMS systems to implement holistic diagnostic
analysis & reporting
15:00 Afternoon Refreshments & Networking
15.30 Improving Failure Forecasting & PredictiveMaintenance For Different Turbine Types Mirjam de Boer-Postmus, Head Operations Benelux, BU Wind Generation, Vattenfall• How to use CMS tools to improve forecasting – accurately predicting when failures will occur• Which prognosis methods & techniques are currently used• How to accurately predict failure & plan maintenance – managing the margin for error• Assessing which additional data collection & analysis systems can be
used to better forecast maintenance
16:15 Tools & Strategies For Creating The MostInformative Turbine Health Reports • Understanding & categorising fatigue & failures – identifying the best way to clearly & accurately present the warning
signs • Can showcasing trends identify deteriorating components?• Analysing best-practice turbine health statements in the context of
standardisation – synchronising charts & graphs for turbines components report – visualising information from multiple wind parks of different sizes &
technologies • Comparing the best available reporting software systems on the market
If you would like to join this session please contact Heather Smith [email protected] or +44 (0) 208 267 4785.
16.45 Chair’s Closing Remarks & End of Day 1
Day 1 Tuesday, 20 November 2012
Successful data management strategies to reducemaintenance costs & improve turbine performance
09:15 SCADA Enterprise Systems: Current Status &Future Developments Simon Trist, VP Plant SCADA & Optimisation Solutions, Vestas• Which measurements does the system analyse & with what purpose?• What are the best existing systems to date & how are they being
developed further? – cost vs. function of the systems – flexibility to meet individual needs & requirements• What are the new technology & program updates & what new problems
will they tackle? • Integrating SCADA with other hard & software solutions on the market
09:45 Creating Harmonisation Between Seven WindFarms, Five Turbine Types & Three TurbineManufacturers For A 200MW Wind PortfolioMartin Elliott, Senior Associate Engineer, BVG Associates• Knowing what to specify for the system requirements vs. trusting the
SCADA supplier to inform what is needed• Examining the costs – external & internal budgets – visible & hidden costs • Access to data: understanding the challenges beyond the technical – exploring the availability & reliability of source data – filling in the gaps, the benefits of manual editing compared with auto fill• Analysing the acceptance criteria for testing & ensuring like-for-like
comparison• Foreseeing challenges post handover: testing the transparency of routine
data processing – spotting exceptions – transitioning from “hands on” to “light touch” approach
10:15 Morning Refreshments & Networking
10:45 Analysing External Data ManagementSystems & Their Integration Into Established& New Wind ParksJessica Cameron, Asset Analyst, Natural PowerGraham Gow, Head of Operational Systems, Natural Power• Overview: what data measurement & analytical systems exist today• Are operators’ requirements well targeted & flexible? – building a strong vision of what the needs & wants are• Achieving the best value for high quality software & hardware system
installation• Pros & cons of integrating external & internal applications into one system
11:30 SCADA-Based Condition Monitoring &Automated Detection AlgorithmsMichael Wilkinson, Engineer, GL Garrad Hassan• How to maximise the value of data already collected in turbine SCADA
systems to predict impending turbine failures and detect changes inperformance and controller behaviour
• SCADA-Based Condition Monitoring – how this compares to traditional ‘high-frequency’ Condition Monitoring – a review of the different approaches available – which sub-systems are most suited to SCADA-Based Condition
Monitoring? – case studies highlighting the value of this tool
• Automatic detection of changes in wind turbine performance – the Change-point Analysis method – suitability of the method for large data sets – results of applying the method• Application these methods in automated monitoring and alerting
12:00 Analysing Nordex Integrated MonitoringSystem (NiMS) To Assess The Benefits Of AnIntegrated ApproachVolker Arlt, Project Manager Central Engineering, Nordex • Using a combination of Condition Monitoring & SCADA data acquisition
to determine turbine health• Evaluating an integrated system to monitor different parts of the turbine
using standard components• Creating one pool of information for easy analysis to quicken failure
diagnosis time• Advantages of flexible data management for CMS & SCADA data• Building a web based interface: the challenges & solutions
12:30 Networking Lunch
13:30 Who Should Control the Data?Ulrich Langnickel, Head Of Renewables & Distributed Generation,VGB PowerTech e.V.• Who is the owner of the data? – who should be in control of the data & why? – who is responsible for the quality of the data?• Negotiation of the data supply – which data should be included in the contract?• How can the parties work towards one goal to improve turbine reliability &
production levels?
14:00 Delegate Discussion: End Of Warranty:Transition To A New Data ManagementSystem • Assessing the risk of taking on full service at the end of the manufacturer
warranty – evaluating the quality of data supply throughout the warranty contract – conducting full turbine diagnostic analysis before taking over O&M – estimating the costs of future maintenance • Data management transition strategies: – case studies demonstrating effective warranty exit process • Costs associated with a change of information management
infrastructure
14:40 Using SCADA Data To Assess TurbinePerformanceNicola Atkinson, Senior Technical Analyst, RES Group• Intensive analysis examining developmental factors in relation to data
management• Exploring causation of failure in order to find underlying principles in
regards to wind turbine data analysis• How does post-construction performance compare with pre-construction
estimate?• Trending turbine performance using KPIs• Monitoring turbine behaviour – are the turbines behaving as expected? – has a control setting changed?
15:40 When To Use Farm & Nacelle-Based Lidar ToAssess PerformanceRozenn Wagner, Scientist, DTU Wind Energy• Measurement height: turbine nacelle tilts & their affect on lidar beams• Wind speed measurement accuracy: verify the wind speed measurement
as well as the measurement range• Wind direction: the difference between yaw error situation & horizontal
wind shear
16:10 IEC Standard: Currently Applied Rules &Further Standard Developments Bob Sherwin, PT 61400-26 Project Leader, International Electrotechnical Commission (IEC)• What is the current status of IEC Standard on data collection systems? – what needs to be addressed to reflect industry needs• Challenging the IEC standard on time- vs. performance- based availability
measurements – what are the parameters & how do they need to be altered to reflect
reality? • Park performance testing: what are the right parameters to be used &
standardised? – what is a definition of wind speed in the context of the entire park &
how can this be turned into robust data – correlating data among turbines to reflect overall & individual
performance – correlation output power & input wind speed for the entire park• Standardising technological advancement in the area of performance
testing & wind farm monitoring • Investigating the financial gains derived from standardising data
management processes in the IEC
16.50 Chair’s Closing Remarks & End of Day 2
Richard Nichol, Manager of Product Development, Data Acquisition &Management, Plant Solutions, Technology R&D, Vestas
09:00-12:30 (Registration begins at 08.30)
Which data should you specifically use duringcalculation of the power curve output?• How to make sure the data is complete & reliable• Methodologies applied to power curve measurements• What is not covered in the IEC standard
Monitoring technologies available for use duringdisagreements• How useful are the farm & nacelle based lidar for assessing
performance?• Theory vs. reality: can rules be applied to imperfect wind farm
conditions?• Lidar, met masts & anemometers: how can these three measuring
systems resolve the problem?• Comparing offshore & onshore monitoring technologies to collect data
IEC Standards exclusions that preventsuccessful power curve claims
Assessing reasons for underperformanceallegations & understanding the data used tovalidate them
Data Management BestPractice To EffectivelyCalculate Power Curve
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*We are proud to announce that 2011'sWind Farm Data Management Forumreceived “Highly Commended” for theBest Energy Conference 2012 award.
“This event allowed/forced like-minded individuals across race, gender andgeneration to openly share in a small group setting through short sound bite topics.Great job! People were here until the very end, what a compliment! Your entire teamwas engaging, kind, supportive and competent.” Senior Vice President EHS, PCG Wind
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20-22 November 2012 Radisson Blu Hotel, Hamburg, Germany
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