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Transcript of Offshore wind energy - TNO › publication › 34630752 › 2... · Offshore wind energy...
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Offshore wind energy Presentation at a project meeting for NWO project: “Sustainable service logistics for offshore wind farms”
Peter Eecen 18-3-2016
ECN Expertise areas
Policy Studies
Energy Engineering
Environment Energy Efficiency
Wind
Solar
Biomass
Process & Energy Industry
Energy R&D Centre of the Netherlands Experience with wind since 1974
Q7 OWEZ
WMC EWTW
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ECN O&M Solutions
ECN O&M Vision
• Support the wind industry in optimal O&M decision making – During development and operation phases – End of warranty and end of lifetime decisions
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ECN O&M Suite Development & Operation
Project Feasibility
Start of Operation
End of Design Lifetime Decommissioning
End of Warranty
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Repowering
ECN Extend ECN Event List ECN Data Analyser
ECN O&M Tool ECN O&M Calculator ECN O&M Access ECN O&M Care
ECN O&M Suite Development & Operation
• 1. ECN O&M Tool/Calculator – Baseline O&M strategy – Optimised O&M strategy – Long-term decision support
• 2. ECN Event List – Structured data collection
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• 3. ECN Data Analyser – Pre-processing data
• 4. ECN O&M Access – Optimal access system selection
• 5. ECN O&M Care – Short term decision support
1. ECN O&M Tool/Calculat0r
• ECN O&M Tool – Excel based – Widely used by industry – Baseline O&M strategy
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1. ECN O&M Tool/Calculat0r
• ECN O&M Calculator – MATLAB based time-domain
simulation, step-size up to one minute – Existing operational data is used to
update the baseline O&M strategy – Existing operational data is used to
determine the optimal O&M strategy – Existing operational data is used to
accurately predict the near-future O&M costs
– Optimal long-term decisions can be made
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1. ECN O&M Tool/Calculat0r
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Cost
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€] Thou
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No. of vessels [-]
Optimisation no. of vessels wrt O&M costs
Sum repair cost & revenue losses
Total repair costs
Revenue losses
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• ECN O&M Calculator – MATLAB based time-domain
simulation, step-size up to one minute – Existing operational data is used to
update the baseline O&M strategy – Existing operational data is used to
determine the optimal O&M strategy – Existing operational data is used to
accurately predict the near-future O&M costs
– Optimal long-term decisions can be made
2. ECN Event List
• ECN Event List – Structured data collection for accurate
O&M modelling – Event definition: a sequence of
maintenance actions to prevent or to correct malfunctioning
– Combine data from all data sources like SCADA, inspections, maintenance sheets and monitoring
Event nr. 1Start event [date/time] 15-2-2013 9:33Event type Corrective maintenanceTurbine ID or BOP ID 1. Turbine ANr. maintenance action 1.1 1.2Start [date/time] 15-2-2013 9:33 16-2-2013 8:30End 15-2-2013 14:33 16-2-2013 17:00Duration [h] 1.05 8.50Downtime [h] 5.00 8.50Type of maintenance Inspections Replacement (finalisation)Weather downtime [h] 4.00 0.00Scada alarm code 0001 0010Scada description Temperature error Turbine stopped by operatorReported labour hours [h] 2.00 25.50Crew size 2 3Access equipment Access vessel A Access vessel B - travel time (heading out) [h] 0.75 0.85 - travel time (return) [h] 1.00 1.10 - fuel consumption [dm3] 200 225Second equipment n.a. n.a. - travel time (one way) [h] - mobilisation time [h]Third equipment n.a. n.a. - travel time (one way) [h] - mobilisation time [h]Explanations Pitch motor overheated Replaced pitch drive blade AMain system_ID MDC Blade adjustmentComponent ID GL001 Pitch drive assembly AWork carried out ReplacementSpare part in stock YesLogistic time spare part [h] 2Consumables n.a.# consumablesTotal labour hours [h] 27.50End event 16-2-2013 17:00Duration event [h] 31.44Downtime event [h] 31.44
Definition of individual maintenance actions
Start and definition of event
End of event and reporting
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3. ECN Data Analyser
• ECN Data Analyser – Insight in the reliability and maintainability of
the wind farm and its components – Insight in the logistics: equipment, spare parts
and maintenance actions – Insight in the met-ocean: wind-wave climate
and weather limits of equipment
Component 1 ………. Component n
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4. ECN O&M Access
• ECN O&M Access – Which access system to choose? – What are the weather limits of each system? – How O&M costs are affected by this?
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4. ECN O&M Access
• Further development of ECN O&M Access within Offshore Maintenance Joint Industry Project (OM JIP)
– More environmental condition: wave period, direction, currents – Translation of environmental condition to vessel hydrodynamics – Translation of vessel hydrodynamics to human fatigue – Translation of human fatigue to offshore accessibility
@MARIN 14/18
5. ECN O&M Care
• ECN O&M Care – Short-term decision support – Web based portal to assist
maintenance manager – Under development within
Daisy4Offshore project
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Optimal O&M Concepts & Improved Accessibility Model
Masoud Asgarpour
Reference Offshore Wind Farms
• Near shore 400MW – A (4MW-Monopile) – B (8MW-Monopile)
• Far offshore 800MW – C (4MW-Monopile) – D (8MW-Jacket)
• Floating 400MW – E (4MW-Floating)
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OK, just a few decisions to make:
Shore-based or offshore-based? Multiple harbours or a single harbour?
Which concept is the most efficient one? Which turbine size leads to the lowest costs?
Is clustering with neighbours an option? Does helicopter helps to lower costs?
Lease the jack-up barge or buy it? Access gangway or not?
What to do with floating WTs?...
Case Study Results
Wind Farm B 50 X 8MW = 400 MW 30km far offshore, 20m water depth O&M costs: 35.32 M€/yr The O&M costs of two neighbor 400 MW would be 35x2=70 M€/yr If resources shared and O&M activities get clustered then, using 3 CTV, shared spare parts, leased helicopter and jack-up barge, the O&M costs will reduce to 57.26 M€/yr, which is 6.5 M€/yr O&M costs reduction for each owner
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Optimal maintenance strategy: Access with CTVs and leased helicopter as backup
Thanks. Questions…
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Megaprojects: Risks and uncertainties in the planning of offshore wind projects.
Jannes van der Wal
Research question
What are the risks and uncertainties for the planning phase of an offshore wind project (mega project)?
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Deriving logistics decision variables and impact trade-offs to facilitate sustainable maintenance logistics for offshore wind farms
Sjirk Bijma
Research question
• What are the sustainable maintenance logistics decision variables and their sustainability impact trade-offs, which have to be considered by the parties who form a maintenance logistics network to ensure sustainable logistics in the operations and maintenance phase of offshore wind farms?
• Method: interviews
Conceptual framework of decision variables*
Setting & rationale Methodology Results Discussion Conclusion
Logistics management decision variables
Transportation & Materials handling Warehousing & Inventory management
Packaging Information flow
Sustainability elements
Economical Environmental Social
Service agreements
Maintenance strategies
Wind farm location
Weather conditions
Regulations
* Simplified version
Maintenance logistics network
Setting & rationale Methodology Results Discussion Conclusion
Substation maintenance service provider • OEM • IMSP • OWF owner/manager
3rd party spare parts reseller
Specialized logistics service provider
OWF owner/manager
Fleet manager
Logistics service provider
2nd tier spare part suppliers
Knowledge providers
Specialist maintenance service subcontractors
Turbine maintenance service provider • OEM • IMSP • OWF owner/manager
Array cable maintenance service provider • OEM • IMSP • OWF owner/manager
Foundation maintenance service provider • OEM • IMSP • OWF owner/manager
Contractually well-organized to prevent costly downtime
Conclusion
Setting & rationale Methodology Results Discussion Conclusion