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Energy verified Verified Outcome TRL 9

Robotic Solar Panel Cleaning

domain Client: Solar Farm Developers handshake Provider: Ecoppia schedule Deploy: 2018-Present
92 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

Fleet of water-free, autonomous robots that clean dust from solar panels nightly, maintaining peak energy output in desert environments without wasting water.

rate_review Analyst Verdict

"Solved the 'soiling loss' problem. In deserts (where solar is best), dust can reduce output by 30%. Cleaning with water is expensive and unsustainable. Ecoppia's microfiber robots pay for themselves by recovering lost megawatts."

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

warning The Challenge

Solar panels lose efficiency rapidly when covered in dust. Manual cleaning with water trucks is costly, logistically difficult in remote deserts, and wastes scarce water resources. Infrequent cleaning leads to permanent soiling damages.

psychology The Solution

Installed rail-mounted robots on the panel rows. They wake up at night and slide across the panels, using rotating microfiber cloth and airflow to remove dust. No water is used. They self-charge via their own solar panel. The system is fully autonomous and monitored remotely.

settings_suggest Technical & Deployment Specs

Integrations
SCADA
Deployment Model
Hardware
Data Classification
IoT
Estimated TCO / ROI
CapEx
POC Summary ( to )

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Moving Parts Medium Predictive maintenance on motors.
Panel Abrasion Low Microfiber certification.

trending_up Impact Trajectory

Audited value realization curve

Recovered 3-6% of energy generation due to soiling Verified Outcome
Primary KPISaved billions of gallons of water vs manual cleaning
Audit CycleManaged >3GW of projects globally

policy Compliance & Gov

  • Standards: IEC Standards
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: IoT

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for Solar Farm Developers without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-705
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-705

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