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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

0

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4000

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Cost

s (av

erag

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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