Solar Unsoiled, Inc.
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Solar UnsoiledProactive Soiling Mitigation Solution for Solar Assets

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The proactive soiling mitigation solution by Solar Unsoiled offers a comprehensive, data-driven approach to maximize profit from solar assets by optimizing cleaning schedules. Leveraging microscopy, a cost-effective and rapid alternative to IV curve tracing, technicians can quickly assess soiling levels on-site. The solution integrates operational analytics, using machine learning to separate soiling losses from operational data, thus providing continuous performance monitoring. Predictive modeling employs historical data alongside atmospheric inputs from NASA's global climate models to forecast site-specific soiling, enabling preemptive planning. This approach allows for a strategic forecasting of cleaning schedules, factoring in power purchase agreements and cleaning costs to enhance return on investment across entire solar fleets. Serving a diverse clientele, including energy asset owners and solar service providers, Solar Unsoiled enables efficient, insight-driven maintenance planning, improving operational management and financial outcomes for solar portfolios.

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Fleet-wide, Proactive Soiling Mitigation: Unlock More Profit From Solar Assets

Across 5+ GW, we are helping our customers...

  • Optimize operations & maintenance spending and annual budgets
  • Reduce engineering and technician time spent on soiling mitigation
  • Improve confidence in sources of underperformance
Explore our comprehensive, data-driven solution
Microscopy

Cheaper and faster alternative to IV curve tracing

Our proprietary method provides technicians a handheld microscope with a digital camera to quickly measure soiling while on site for other O&M.

Operational Analytics

Continuously monitor your site`s performance

We use machine learning to isolate soiling losses from operational data and give you an up-to-date view of performance trends.

Predictive Modeling

Plan for future soiling, specific to each site

We combine your historical performance with local climate and atmospheric data from NASA`s global climate model to build site-specific models of future soiling losses.

Proactive Optimization

Forecast, prioritize, and budget for cleanings years in advance

We factor in your PPAs and cleaning costs to recommend cleaning schedules that maximize ROI across your entire fleet.