daisy4offshore - winddays€¦ · sn002 99565-003-524b1.1 inspection results 12-02-2014 e. de plaa...
TRANSCRIPT
4OFFSHORE
DAISY4OFFSHOREWindDay Conference 14 June 2017
22
» 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
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
The valley of death…
Living Lab
Fieldlab
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
ZEPHYROS
WCM FIELDLAB FOR OPTIMIZED LOGISTICS, OPERATIONS AND MAINTENANCE FOR OFFSHORE WIND PARKS
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)
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