TRUEPOWER PLATFORM

Operational Excellence in Asset Management 

The True Power Platform brings unparalleled insights due to WinJi's Artificial Intelligence algorithms:
Best-in-class data quality, unbiased transparency on the operation of wind and solar plants and recommendations to optimise the performance by a click of the mouse.

A division of the platform in 3 levels creates a holistic overview over your asset portfolio:

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The TruePower Platform Solution – Win Energy, Save Time

  • Improve overall project profitability (IRR) significantly

    • Reduce losses & downtimes up to 5%

    • Improve production by 2-5%

  • Improve Asset Management effectiveness

    • Plug'n'Play solution

    • Everything at a glance in real time 

    • No time-consuming and tedious excel work 

  • Competitive advantage for growth

    • Manage more MW/FTE

    • improve risk-return portfolio

    • better informed decision

  • Become smarter

Example on Yawing

We can reveal e.g. optimisable yawing behaviour.

The movie below illustrates how the nacelle aligns with the wind direction over time. A histogram is shown on the left side, while the analysed wind direction is illustrated in the graph on the right. 

Such an analysis gives you insight. Our platform tells you even more: It quantifies the optimisation potential and how you can optimise your production of each wind turbine. 

WinJi Track Record

  • > 45 customers in 15 countries and 3 continents

  • 10 % underperformance found in production under analysis > 850 MEUR revenues

  • 2-4% actionable measures* worth > 25 MEUR revenues

  • > 50 years experience in renewables Asset Management both in engineering & data analytics

  • Technical platform availability > 99.9%


* production increase, validated with customers & realisable within less than 3 months

7 critical questions for asset owners: 
 

  1. How do you evaluate the performance of your renewable energy investments?
     

  2. What is your evaluation based on?
     

  3. Is your management team able to explain production deviation based on facts?
     

  4. Do you apply real-time KPI monitoring?
     

  5. In which time span can you evaluate deviations in measurement and production data?
     

  6. How far do you use forecasts and predictive maintenance for your production processes?
     

  7. Do you measure and compare your asset performance to representative asset portfolios?