daisy4offshore - winddays€¦ · sn002 99565-003-524b1.1 inspection results 12-02-2014 e. de plaa...

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

33

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

55

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

66

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