Case Study

AES Streamlines Asset Management with Drones, SAP, and Measure Ground Control

image credit: Measure UAS, Inc.
Harjeet Johal's picture
VP Energy Measure

Harjeet Johal is the VP of Energy for Measure, where he oversees the development and sales of drone solutions across a broad range of applications in the energy industry. Harjeet is an expert in...

  • Member since 2019
  • 23 items added with 42,153 views
  • Nov 14, 2019

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This white paper discusses how, through Measure’s custom solutions including an integration with SAP Enterprise Asset Management, AES has shortened the turnaround time for wind turbine inspection analysis from 2 to 3 weeks to 2 to 3 days. With data collected by drones, analyzed through a streamlined workflow, and results sent automatically to SAP, AES can address major damage faster and improve overall asset performance.

AES is a Fortune 500 global power company that provides affordable, sustainable energy across 14 countries. Efficient processes are key to business success. Measure solved pain points that plagued their inspection data workflow, including tools for better aerial data collection, automated data sorting, and visual data analysis. They eliminated manual processes such as manual entry of inspection results into SAP.

You an also watch a video of the data workflow here.

“We have someone who’s looking at notifications all day, for assets across the globe. The sooner we can get defect information into his hands, the better we are equipped to limit the loss associated with that defect,” says Andrew Brody, Performance Engineer at AES’s 158-turbine wind farm in Palm Springs.

“With this integration, we have not only streamlined the operation and cut down on the time from inspection to repair, but we’ve gained control over the entire process.”
Matt Chester's picture
Matt Chester on Nov 15, 2019

Great stuff, Harjeet.

The sooner we can get defect information into his hands, the better we are equipped to limit the loss associated with that defect

Do you have any data for how much of an average savings this can bring?

Harjeet Johal's picture
Harjeet Johal on Nov 15, 2019

Hi Matt. The cost savings will vary based on the severity of the defect. For Class 5, the most severe defects, we reccomend immediate shutdown to avoid catastrophic failure, which, as you might imagine is very expensive. Repairing a Class 5 defect before failure is a mere fraction of the cost.

Class 4 defects can cause $10,000 or more of annual revenue losses. Plus, defects increase in severity overtime, which causes repair costs to increase. Managers will typically save $6,000 in repair costs by fixing a defect sooner rather than later.

Harjeet Johal's picture
Thank Harjeet for the Post!
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