What we do?
How do we measure whether a Solar Photovoltaic (PV) system performs well? What is its future performance? Can PV be assigned a health rating? How can PV analytics enhance Solar Finance, SCADA, and EMS software? We answer this with high-accuracy PV performance measurement, integrating with energy platforms and delivering industrial automation. We also design interoperability solutions for decentralized energy management: PV, Battery ESS & EV.
SysMap:Data - Solar performance analytics for SCADA / EMS
Technology
Soltell's Sensorless technology is a state-of-the-art tool for assessing PV performance indicators (energy, power and soiling indices) at superb accuracy, developed with the support of the Israel Innovation Authority. This low-cost, high-accuracy smart alternative to meteorological stations and remote sensing solutions utilizes site's electrical sensor data to extrapolate localized irradiance and temperature conditions.
Meteorological Weather Station
Accurate
Expensive
Remote Sensing Techniques
Inaccurate
Inexpensive
Sensorless Technology
Accurate
Inexpensive
Advantages
Industrial IoT-powered Sensorless technology delivers 94-98% accuracy in solar PV performance assessment. Embedded in the SysMap solution, it enables financial risk management and predictive maintenance (soiling measurement, current leakage, etc.) - saving 90% in operations, 40% in maintenance, and cutting PV downtime by 65%. Coupled with high-accuracy solar PV forecasting, it optimizes energy management, increasing average site revenue by 3-7%.
Industrial IoT
Automation
Sensorless (no hardware)
Data Service or
Software-as-a-Service
Data Standard-
compliant
Quantitative KPIs for
Financials and O&M:
Performance indexes at 94-98% accuracy
Maximum cost- efficiency with
Predictive Maintenance & Energy Management
Industrial Automation
Sensorless technology revolutionizes solar PV performance assessment, automating financial and operational processes. Through quantitative analysis, it accurately rates PV system performance, enabling severity rating and prioritization, while minimizing downtime. This intuitive approach assigns an accurate performance rating on a 0-100% scale (EPI, PPI, SR and Availability), streamlining optimal solar energy utilization in decentralized systems.
