daisy4offshore - winddays€¦ · sn002 99565-003-524b1.1 inspection results 12-02-2014 e. de plaa...
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4OFFSHORE
DAISY4OFFSHOREWindDay Conference 14 June 2017
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» Wind parks that can be exploited without
subsidies (i.e. better performance @lower cost)
» Integrated control room for O&M
» Independent, open measurement system
» Independent wind turbine cluster
» Predictive performance, maintenance, lifetime
and business case
Dutch windturbine
maintenance cluster
Goal
World Class Wind Turbine Maintenance
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Independent, pro-active asset & maintenance management,
driven by knowlegde, experience and real time information on turbine status
fact based continous optimiseing of operations and maintenance
MAINTENANCE
MAINTENANCE &ASSET MANAGEMENT SYSTEEM
Welcome J. Prinsloo
IMMS Android AppAsset Management Specialist Edition
V1.0Welcome J. Prinsloo
WIND TURBINE MANAGEMENT DASHBOARD
Data
Informatie
Data
DATA MANAGEMENT
Data
MAINTENANCE &ASSET MANAGEMENT SYSTEEM
Informatie
IMMS Maintenance ManagerAsset Management Specialist Edition
V1.0Welcome J. Prinsloo
OLAZ IIVestas V47, 660kWSN00299565-003-524B1.1
Inspection results12-02-2014E. de Plaa
Gearbox WG 20140113
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Sensors
OPC and other data
Asset management
Dashboard and reports
Decision support modules
Maintenance Management
4OFFSHORE
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Results• 0-measurement with DAISY @
commisioning phase Nordex
• Data in DAISY database
• Monitoring operational performance
• Owners inspections with DAISY
• Real time condition monitoring
• Data in DAISY database
• Monitoring operational performance
• Owners inspections with DAISY
• Asset & maintenance management
Kreekrak
OLAZ
• Real time condition monitoring
• Data in DAISY database
• Monitoring operational performance
• Owners inspections with DAISY
• Asset & maintenance management
EPZ
• Real time condition monitoring
• Data in DAISY database
• Monitoring operational performance
• Owners inspections with DAISY
• Asset & maintenance management
Anna-Mariapolder
performance monitoring
Predictive business case
15% performance improvement
25% lower maintenance costs
Predictive business case
Lower maintenance costs
Higher availability
Predictive business case
Lower maintenance costs
Higher availability
Predictive business case
www.daisy-solutions.com
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Lessons Learned
Amalia Windpark Eneco
• Data driven way of working requires a transition, but pays off• New value chain required and new alliances• Fully automated predictive maintenance requires a lot of data, time• Optimising offshore logistics is a challenge, but first steps are made• Human in the loop is needed• Pilots with real turbines can make the difference
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The valley of death…
Living Lab
Fieldlab
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Aspirant
Aspirant
P
M
I
L
H
Chemelo, Sitech
IFFFUJI
Dow
Sabic
Boskalis
Marine
Tata
Wagenborg
RWS
Strukton
Schiphol
Vanderlande
Thales
ASML
Aviolanda
Nedtrain
Concordia
ProvincieGelderland
WaterschapVechtstromen
Vroon
Alliander/Enexis
M
Towards zero downtime…
ZEPHYROS
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ZEPHYROS
WCM FIELDLAB FOR OPTIMIZED LOGISTICS, OPERATIONS AND MAINTENANCE FOR OFFSHORE WIND PARKS
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ZEPHYROSWCM FIELDLAB FOR OPTIMIZED LOGISTICS, OPERATIONS AND MAINTENANCE FOR OFFSHORE WIND PARKS
DEVELOPMENTS TO BE EXPECTED IN OPERATE & MAINTAIN IMPROVEMENTS IN WEATHER FORECASTING AND ANALYSIS INTRODUCTION OF TURBINE CONDITION-BASED MAINTENANCE STRATEGIES IMPROVEMENTS IN OMS STRATEGY FOR FAR-OFFSHORE WIND FARMS IMPROVEMENTS IN PERSONNEL TRANSFER AND ACCESS INTRODUCTION OF REMOTE AND AUTOMATED MAINTENANCE INTRODUCTION OF WIND FARM-WIDE CONTROL STRATEGIES SUPPLY CHAIN OPPORTUNITIES AND JOB CREATION(IRENA OUTLOOK OFFSHORE WIND 2016)
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ZEPHYROSWCM FIELDLAB FOR OPTIMIZED LOGISTICS, OPERATIONS AND MAINTENANCE FOR OFFSHORE WIND PARKS
• OPTIMIZATION BY INTEGRATION (CONTROL TOWER PHILOSOPHY)
• THREE-PRONGED APPROACH (RESEARCH, LIVING LABS, TEACHING & TRAINING)
• TARGET AUDIENCE:• ASSET OWNERS• ASSET MANAGERS• SERVICE PROVIDERS• KNOWLEDGE INSTITUTES• EDUCATIONAL INSTITUTIONS• OEM’S•
•
Join thisWCM
Fieldlab