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fos4X – Smart Data

fos4X, Gelsenkirchen, 2020

Condition Monitoring und Performance Optimierung durch Echtzeitanalysen intelligenter Sensordaten aus der retroX Plattform

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Company Overview

Use Cases

Technical Solution

Situation

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01 Company Overview

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COMPANY OVERVIEW

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Installed base of 22,300+ sensors in 1,000+ systems in 25 countries

96 25 > 1,000 22,300+

fos4XHQ

fos4XChina

COMPANY OVERVIEW

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Important Mile Stones

Foundation of fos4X

Equinor ASA Becomes Strategic Shareholder

retroX Multi-Brand System Onshore

Entering European OEM Market

Establishing fos4X China

2010 2018

2019

2011

2018

1st Tier Series Supplier Contract

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2014

2015

Entering Operator Market with Ice Detection System

Entering Chinese OEM Market

Entering Offshore Market

2016

Expand fos4X Digital Unit

2017

retroX Multi-Brand System Offshore

2020

02 Situation

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SITUATION

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Reduce OPEX Identify Risk

fos4X tackles major operator issues by providing more and smarter data to enable informed decision making

Better transparency of asset with more and smarter data

Automate recurring analyses and make informed decisions

Reduce downtimes caused by damage and thus increase energy yield

Improve maintenance planning and empower predictive approaches

Detect premature structural damage at an early stage

Improve end-of-warranty risk assessment and service contract decisions

Be informed about the structural pain points of your assets

Improve risk reporting for owners, experts- and insurance companies

SITUATION

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Increase AEP Extend Life Time

fos4X tackles major operator issues by providing more and smarter data to enable informed decision making

Create turbine specific port-folio of initiatives for AEP optimization

Tackle static performance issues (e.g. rotor imbalance, yaw & pitch misalignments)

Reduce curtailments with additional apps (e.g. blade ice detection)

Reduce downtimes through predictive de-icing before ice build-up on the blades

Improve decision making for continued operation and monitor critical components

Use real load data to allow less conservative lifetime assessment

Documentation of actual loads on blade and turbine over lifetime

Be able to trade life time for output or make better PPAs

03 Technical Solution

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“RETROX” RETROFIT SOLUTION - TECHNICAL CONCEPT

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All software applications will be enabled by our retrofit platform solution “retroX”,combining serial proven sensors with real-time analytics software to deliver value

Edge computing

Owner Service 3rd party

fos4XIIoT platform Real-time dataReal-time data

AEP up | OPEX down | Lifetime+Risk Mitigation

KEY BENEFITS

(1) *Turbine plc access required 11

We provide you the digital backbone that enables you to further optimize the profitability of your best-aged turbines

Increase AEP Extend Life TimeIdentify Risk

Rotor Blade Condition Monitoring

Ice Detection andDe-Icing

Yaw and Pitch Misalignment

Rotor Blade Load Monitoring

Reduce OPEX

RETROX – SMART BLADE DATA AND DIGITAL INFRASTRUCTURE

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retroX consists of a hardware platform and configurable software applications

Sensor

So

ftw

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Ha

rdw

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Sensor Platform

Ha

rdw

are

Blade condition monitoringReal-time condition moni-toring of rotor blades to indicate structural damages

Blade load monitoringContinuous load monitoring on rotor blades to determine lifetime consumption

Yaw & pitch misalignment monitoring Continuous yaw and pitch angle monitoring enables detection of misalignments

Blade ice detection & de-icing Real-time ice mass calculation allows for minimizing the icing curtailment

04 Use Cases

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SITUATION & SOLUTION

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Increase Yield and reduce failure risks by correcting yaw misalignment

Situation Problem Solution

Causes for yaw misalignment Installation errors of wind vane No site-specific calibration Inaccurate measurement

Distribution of yaw misalignment“Over 50% of wind turbines suffer from

yaw misalignments greater than 4 degree”

Effect on lifetime Asymmetric loading on turbine Additional wear on yaw drive Avoidable maintenance works

Higher risk of failure

Yaw misalignment of 15°can reduce the lifetime of the

yaw system from 20 to 12 years

Effect on Production

ModelYaw misalignment is detected from the

difference in loading between the left and the right side of the rotor disk.

EXAMPLE DASHBOARD – YAW MISALIGNMENT MONITORING

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yaw misalignment – example of a (static) well-aligned turbine

EXAMPLE DASHBOARD – PITCH MISALIGNMENT MONITORING

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pitch misalignment – example of a slightly misaligned blade

PERFORMANCE AND BUSINESS CASES OF ROTOR ICE CONTROL

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anonymized

01.12. 02.12. 03.12. 04.12.

Ice detection – example of accumulating ice masses

EXAMPLE DASHBOARD – ROTOR BLADE CONDITION MONITORING

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Damage detection – example of structural healthy rotor blades

“RETROX” RETROFIT SOLUTION - TECHNICAL CONCEPT

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Infrastructure

VPN or LTEconnection

Storage

Customer

Optional: Access via API

Cloud

Edgereal-time

fos4X Dashboard

Your name hereYour jobtitle here

Michael Rüdiger

Business Development

T +49 173 5457928

michael.ruediger@fos4x.de

Please Contact