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Isolates localized panel soiling from inverter hardware degradation using SCADA I-V curves and weather data, optimizing economic wash timing.
The Operational Challenge
Asset managers wash panels on rigid calendar schedules, losing 4–8% in uncaptured energy from accumulated soiling or wasting water on premature washes.
Without autonomous software intelligence, organizations face exponential operational labor drag, transcription error rates exceeding 8%, and compounding response delays that jeopardize enterprise SLAs.
Solution Architecture
Streams 1-minute inverter string current/voltage (I-V) measurements, pyranometer irradiance, and ambient temperatures.
Neural models compare normalized performance ratios across neighboring inverter blocks to isolate soiling loss from component faults.
Correlates real-time generation revenue loss against panel cleaning labor and water costs to trigger optimal wash dates.
Pushes prioritized field maintenance and wash tickets directly to solar farm site technicians.
Enterprise Security & Compliance
All data processing executes in isolated single-tenant environments. Proprietary company records, documents, and client communications are strictly encrypted in transit (TLS 1.3) and at rest (AES-256) with zero model retention and no external training on customer data.
Deployment Sprint
Week 1: Connect site SCADA historians (Modbus/OPC) and on-site weather station feeds.
Week 2: Calibrate physics-informed string degradation and soiling loss models on multi-year telemetry.
Week 3: Pilot economic wash trigger recommendations with asset management and O&M leads.
Week 4: Portfolio-wide rollout across all utility-scale solar farms and operating assets.
Technical & Operational FAQ
No. Fortiv operates on existing SCADA string inverter telemetry (DC current, voltage) and on-site pyranometer irradiance feeds.
Soiling causes gradual, uniform performance ratio declines across an entire tracker block; component faults cause abrupt single-string current drops.
We support SMA, Sungrow, Huawei, Power Electronics, TMEIC, Schneider Electric, and ABB/Fimer.
Localized numerical weather prediction models check 7-day precipitation probabilities, delaying wash dispatch if significant rain is expected.
Yes. Work orders push directly into SAP PM, Maximo, Infor EAM, and Fiix with automated part lists.
Recovering 2–4% in uncaptured generation delivers $200,000 to $400,000 in additional annual wholesale power revenue.
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Strict NDA & security protocol standard · 40+ enterprises served
