Predictive Solar Inverter Thermal Degradation & Maintenance Dispatch

A utility-scale solar asset owner operating 800MW of solar PV plants across arid desert regions containing over 300 central and string inverters.

reduction in unplanned inverter thermal trips during summer: 90%reduction in unplanned inverter thermal trips during summer
previously lost solar generation revenue per season: $680,000previously lost solar generation revenue per season

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

High ambient desert temperatures caused central inverter cooling fan failures, leading to thermal de-rating and unscheduled inverter trips during peak generation hours.
Traditional fixed maintenance schedules missed early IGBT semiconductor thermal stress micro-anomalies.
Inverter downtime during summer peak price hours cost over $45,000 per plant day in lost generation.

The run · 5 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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Santulan ingests high-frequency DC input, AC output, IGBT temperature, and fan speed telemetry from 300+ inverters.

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

90% reduction in unplanned inverter thermal trips during summer peak generation months.
Recovered $680,000 in previously lost solar generation revenue per season.
Extended central inverter component lifespan by proactive cooling fan maintenance.

Capabilities this relies on