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Energy verified Verified Outcome TRL 9

Robotic Wind Blade Maintenance

domain Client: Wind Farm Operators handshake Provider: Aerones schedule Deploy: 2019-Present
92 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

Use of winch-operated robotic systems to clean, inspect, and repair wind turbine blades, replacing dangerous and slow rope-access technicians.

rate_review Analyst Verdict

"Industrial automation for renewables. As turbines get larger (offshore), rope access becomes dangerous and inefficient. Robots offer a faster, safer, and more consistent service, reducing the LCOE (Levelized Cost of Energy) of wind."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Wind turbine blades degrade due to erosion, lightning, and ice, reducing efficiency. Maintenance required technicians to rappel down blades (rope access), which is weather-dependent, slow, and highly dangerous. Downtime for repairs meant lost energy revenue.

psychology The Solution

Deployed the Aerones robotic system. A computerized winch system on the ground hoists a robotic rig up the blade. The robot can perform inspections (ultrasound/camera), cleaning (high pressure), and even apply leading-edge repair coatings. It operates 4-6x faster than humans and can work in higher wind speeds.

settings_suggest Technical & Deployment Specs

Integrations
Asset Management Systems
Deployment Model
RaaS (Robot as Service)
Data Classification
Asset Integrity
Estimated TCO / ROI
Service Fee
POC Summary ( to )

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Rigging Complexity Medium Automated winch calibration.
Offshore Handling High Specialized vessel integration.

trending_up Impact Trajectory

Audited value realization curve

Maintenance speed increased by 400-600% Verified Outcome
Primary KPIReduction in turbine downtime (revenue loss)
Audit CycleZero human-at-height safety incidents

policy Compliance & Gov

  • Standards: GWO Safety Standards
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Asset Integrity

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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The "Blind Verification" Protocol

How we verified these outcomes for Wind Farm Operators without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-698
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-698

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