Protecting PV solar plant profitability through digital analytics

With power purchase agreement (PPA) prices dropping rapidly, reducing maintenance costs and increasing power production is critical for PV solar plant profitability. How do you determine if your solar power plant assets are performing at their full potential? What are the right solar energy monitoring & maintenance strategies to sustain viable ROI for your PV assets and reduce operating risk?

Our Solar PV monitoring solution has been designed with two key outcomes in mind:

Increase yield: Driving higher yield through analytical framework to reveal digital solar power insights and avoid downtime.

Lower O&M costs: Reducing unplanned downtime and costly emergency repairs, enhancing proactive solar power plant maintenance strategy.


40%

reduction in power production losses


30%

increase in solar plant staff productivity


20%

reduction in O&M expenses 


=$500k

annual value creation for a 100 MW plant*

*$35/MWh PPA rate, Plant yield of 1850 kWp/kWh, $10/kW-year O&M expenses;
numbers listed above are indicative only, actual saving may vary

The advantages of GE’s digital solar plant software

Understand solar energy performance gaps
Solar Plant software performs analysis on digital solar twins of site assets in real time to determine deviations from expected KPIs at any operating point and environmental condition.

Identify areas for improved solar plant performance
This solar energy software uses machine learning-based signature detection algorithms automatically quantify and categorize each cause of production loss, providing insight to enable better solar energy plant maintenance strategies.

Adopt predictive, proactive solar plant maintenance strategies
As data is processed, machine learning technology generates alerts well before solar plant asset failures. As a result, this solar power plant monitoring system reduces unplanned downtime and costly emergency repairs.

Data that delivers for digital solar plants

Key features of GE’s digital solutions for solar plant PV assets

Seamless data integration for fleet-wide solar asset visibility (historical and future)

  • Connectivity to solar plant monitoring software for near real-time data capture and storage, including store and forward feature
  • Visualization of asset health and condition of your solar power plant assets at the fleet, site, and asset level
  • Use of empirical machine learning models and physics-based algorithms to gain visibility into inverter problems before they affect energy production

Reveal solar energy performance gaps and recommend actionable recovery plan

Solar power plant asset management transforms data from your PV plants to identify performance gaps using various analytics including:
  • Solar PV analytics performed on digital twins of solar power assets in real time to determine deviations from expected KPIs at any operating point and environmental condition
  • Machine learning-based signature detection algorithms for your solar PV plant automatically quantify and categorize each cause of production loss, providing insight to enable better maintenance strategies.

Detailed solar PV maintenance intelligence for improved, proactive O&M strategy

Alerts provide recommended actions to prevent and repair component and subcomponent failures. Insights delivered through this solar power plant monitoring software include:
  • Optimize decision-making process with visibilities into future inverter issues
  • Empower O&M teams to dispatch resources to your solar power plant sites only when they’re truly needed
  • Recommended actions are provided to prevent and repair component and subcomponent failures

our technology

Inside GE’s Digital Solar Plant Software

solar-apm-software

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