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Volateq

Volateq utilizes drone-based inspections to create a Digital Twin of solar power plants, enabling precise analysis of optical performance, damages, and soiling. This technology allows operators to autonomously monitor site conditions, prioritize maintenance, and enhance overall efficiency, leading to increased profitability and reduced operational costs.

Hilden, GermanyFounded 2020151K+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Solar power plants require regular inspections to maintain optimal performance, but traditional methods are often time-consuming, costly, and may not provide a comprehensive overview of site conditions. Identifying specific issues like soiling, damages, and optical performance degradation can be challenging without advanced tools. This can lead to reduced energy output, increased operational costs, and shortened plant lifespan.

Solution

Volateq offers an AI-powered software solution that leverages drone-based inspections to create a digital twin of solar power plants, enabling detailed analysis of plant performance. The platform autonomously monitors site conditions, detects anomalies, and assesses soiling levels for both photovoltaic (PV) and concentrated solar power (CSP) plants. By processing drone-captured data, the software provides actionable insights into optical performance, component conditions, and geometric accuracy. This allows operators to prioritize maintenance, optimize resource allocation, and improve overall plant efficiency, leading to increased profitability and extended asset life.

Target Audience

Volateq's primary customers include solar power plant operators, asset managers, and maintenance service providers seeking to improve the performance and extend the lifespan of their solar installations.

Features

  • Autonomous drone flight and data capture for comprehensive site assessment
  • Web-based application for data upload, processing, and report generation
  • Advanced fault detection algorithms for identifying anomalies and performance degradation
  • Detailed soiling analysis to quantify optical losses and optimize cleaning schedules
  • Thermal and component analysis for CSP plants, including geometry assessment
  • Automated report generation with actionable results for maintenance prioritization
  • Digital twin creation for visualizing and analyzing plant conditions over time
  • Support for both PV and CSP solar power plants
This profile is AI-generated and may contain inaccuracies.