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VGB PowerTech | Hydro - Hydropower Industry Guide 2020/21

Innovative products and services from operators, suppliers, manufacturers and consultants and a lot of sector information. 1st issue. Final version 2020/21 View online and download on demand!

Innovative products and services from operators, suppliers, manufacturers and consultants and a lot of sector information.
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HYDROPOWER INDUSTRY GUIDE <strong>2020</strong>/<strong>21</strong><br />

Company Profiles<br />

AvailabilityPlus GmbH<br />

LexaTexer – next generation predictive analytics.<br />

Ringbahnstr. 10-14<br />

DE Ι 12099 Berlin<br />

www.lexatexer.com<br />

contact@lexatexer.com<br />

LexaTexer is the analytics platform for the digital<br />

power plant. Power producers globally need to<br />

constantly improve operations, reduce unplanned<br />

outages, identify optimal operations parameters<br />

and manage variations in market conditions, fuel<br />

costs and weather patterns. LexaTexer provides a<br />

comprehensive answer, based on physics, machine<br />

learning and artificial intelligence, that<br />

gives power companies the means to transform<br />

operations with actionable insights that drive<br />

improved business decisions.<br />

LexaTexer analytics provides these benefits:<br />

Transform data into actionable intelligence by<br />

combining robust analytics with domain expertise.<br />

Create a single source of data for all power<br />

generation or renewables assets across a fleet,<br />

utilizing predictive analytics to identify issues<br />

before they occur, reducing downtime and extending<br />

asset life while still balancing maintenance<br />

costs with operational risk. Operations<br />

optimization: Deliver enterprise data visibility<br />

across power plant and fleet-wide footprints,<br />

providing a holistic understanding of the operational<br />

decisions that can expand capabilities and<br />

lower production costs. Predict remaining-useful<br />

(RUL)-live of turbines and adjacent equipment like<br />

pumps and deliver optimal operational parameters<br />

to optimize KPIs like RUL, downtime or costs<br />

per MW/h.<br />

Predictive Maintenance<br />

Predictive maintenance anticipates equipment<br />

failures to allow for advance scheduling of corrective<br />

maintenance, thereby preventing unexpected<br />

equipment downtime and improving service<br />

quality. LexaTexer introduces a new level of<br />

quality.<br />

Predictive Maintenance at <strong>Hydro</strong>power Plants<br />

Many hydropower facilities do show prototype<br />

characteristics, bespoke architectures, adapted<br />

to geographic and business needs with highly<br />

individual technical parameters and are integra-<br />

ted into a fleet of interacting assets. These individual<br />

settings make it difficult to apply off the<br />

shelf analytics. However, using historic data and<br />

advanced analytics it is possible to predict the<br />

remaining useful life for major assets and to identify<br />

anomalies, which common SCADA-systems<br />

are not able to identify.<br />

We use data from a number of sources (SCADA,<br />

maintenance reports, weather, …) and create<br />

digital models, using data analytics and machine<br />

learning, to predict the current and future states<br />

of assets, providing the results in an interactive<br />

way, to enable the technical personal to not only<br />

see the results, but also to modify operational<br />

parameters to identify optimization opportunities.<br />

Predictive analysis with artificial intelligence.<br />

This empowers operation and maintenance personal<br />

to keep initiative to optimize costs and<br />

minimize unplanned downtime.<br />

Contact<br />

Dr. Günther Hoffmann<br />

CEO<br />

T +49 30 60 98 98 060<br />

E hoffmann@lexatexer.com<br />

Innovative Products and Services 49

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