Wind Farm Logistics for Cost-Effective Management Control of Wind Farms. Dr. ir. John Stavenuiter Asset Management Control Centre

Transcription

1 Wind Farm Logistics for Cost-Effective Management Control of Wind Farms Dr. ir. John Stavenuiter Asset Management Control Centre

2 Workshop Program 09h30 WFL Introduction 10h15 Coffee Break 10h30 Serious Game 11h15 Prize-giving 11h30 Closing Wind Farm Logistics To get and keep the Logistics Process Cycle in balance (to be explained later on).

3 Asset Management Control Centre Work field experience (International, e.g.; EU, Chile, China, etc.) - Naval shipping - Infra structure, e.g.: railway, waterway`s, etc. - Aircraft (military and civil) - Power Plants, Wind Farms - Refineries, on- and off shore oil plants - Chemical industries - Wind Farm Logistics Resources around 10 AMC specialists and additional external experts from (applied) Universities, Research Institutes and high-end Industrial Partners

4 My Background Dr John Stavenuiter 1956 born in Haarlem, The Netherlands 1977 BSc Naval Engineering University of Haarlem, NL 1989 MSc Maritime Business Engineering TU Delft, NL 2002 PhD Asset Management Control TU Delft, NL Occupations Yacht designer/builder (v.d. Stadt, Huisman, Polymarin, Managing Director (boatyard Middelharnis, Stavenuiter Enterprises) Naval Engineering Consultant, Naval Ship Repair Yard Head Engineering Department, Weapon Maint. Est. Head System Management Department Naval Maint. Est. Program Director Asset Management Control Centre Private Life Married, 2 children Hobby: Yachting (15 year in the NL Olympic Team) 1984 Olympic Games (LA) 9e place 470 dinghy Several Dutch, European and World medals gained.

5 Wind Farm Logistics a Sino-Dutch Project

6 WFL is related to Logistics Engineering, SCM and Asset Management Control Asset Management Control Logistics Engineering Wind Farm Logistics Supply Chain Management WFL is a subset of AMC

7 AMC is: start thinking from The Asset [Heijmans has obtained the Asset Management contract for Amsterdam Airport, supported by AMC, November 2011]

8 Amsterdam Airport AMC Approach To improve the System Cost-Effectiveness

9 Materiel Logistics of the NL MoD supported by the AMC Approach Home page of Weapon Systems

10 Key Performance Indicators for each Weapon System Materiële Gereedheid Materiële Beschikbaarheid To improve the System Cost-Effectiveness

11 Infrastructure Management supported by AMC To improve the System Cost-Effectiveness

12 Why WFL as AMC for Wind Farms? Profit is hard to attain because: new design concepts huge variable supply of raw energy, the wind wide spread out geographically high investment and exploitation costs per generated MWh insufficient knowledge and skills of Operations and Logistics To improve the System Cost-Effectiveness

13 The WFL Approach Shareholders Directives & Means Accounting & Advice Investments Wind Farm Logistics Revenues Wind Products & Services Wind Farms Performance & Cost Data E Power

14 WFL Main Topics 1. Wind Farm Design Principles 2. Systems (Support) Engineering 3. Maintenance Engineering 4. Operations & Maintenance 5. Information Management 6. Risk Management 7. Financial Management 8. Team Management 9. Environmental Management

15 Body of Knowledge Arrangement 1. Wind Farm Physical Breakdown 2. Logistics Control Solution Map

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17 Training and Innovation Facilities The Integrated Wind Farm Logistics Web Environment of AMC Centre

18 It Simulates or Monitors the overall Business Result re Return on Investment

19 The next step, looking for Improvement

20 Including in depth System Analyses Models

21 R&D Projects on the WFL Knowledge Portal

22 How to implement this in day-to-day business?

23 By using a Serious Gaming Environment

24 S(t)imulation Environment

25 Wind Farm Configuration

26 RM&A Basics Simplified O&M Performances Determination Wind Turbines Installed Mean (Base O&M) Active Time Mean WT's in Malfunction over one yr Number Installations/Subsystems per WT Operation Critical Installations per WT Mean Time to Repair (MTTR) Operation Period (OP between Inspections) 70 WT's 358 days 5 WT's 23 Inst. 18 Inst. 10 days 0,5 Year Total Down Time (WT in Malfunction x 365) 1790 days/yr Overall Mean Uptime % (WT Inst.-WT Malfunction)/WT Inst. 92,86 % Wind Farm Failure Rate (Total DT/MTTR) 179 F/yr Mean Failure Rate (MFR) per WT 2,56 F/yr Mean Failure Rate (MFR) per Critical Installation 0,14 F/yr Mean Time Between Failure per Inst./Subsystem 7,04 Year Mean Installation Reliability (e^- OP/MTBF) 93,14 % Mean Installation Availability (AT-MTTRxMFR)/AT 99,60 %

27 Maintenance Scenarios Available

28 Maintenance Scenarios Available

29 Maintenance Scenarios Available

30 Maintenance Scenarios Available

31 Play the Offshore Wind Game online!

32 Click on Start Game (or Start Intro for full demonstration)

33 Click on one or more Maintenance Scenarios for each year

34 Click on Run after selected one or more Maintenance Scenario(s)

35 Click on Finish when all Maintenance Scenarios are played

36 Click on Top 10 Ranking to see who is there

37 Let s start gaming!