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Peak performance
for every panel

Osolar Optimizer: Minimize power loss
through independent, panel-level control

Our product

Osolar-optimizer

Solar power plants often suffer from performance variance between modules due to terrain shading, debris, aging, and seasonal factors, leading to a "lowest-common-denominator" effect on total system efficiency.

Osolar Optimizer utilizes AI diagnostics to automatically pinpoint losses, maximizing power generation revenue with minimal investment.

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Optimizing

When power variance occurs within a string due to output degradation of certain panels (caused by panel issues or external factors), Osolar improves energy yield by minimizing power losses in both the affected panels and the indirectly impacted panels within the string.

Yield Improvement: 4% – 15%

Monitoring

Real-time panel-level status monitoring
and data collection.

Risk tracking for high-risk panels
(anomaly detection alerts).

Issuance of monthly power loss reports.

Rapid Shutdown

Emergency panel-level power shutdown during power plant fires to ensure the safety of firefighters and emergency personnel, and to prevent the spread of accidents.

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Performance Verification Based on Empirical Data

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Technical Validation

Results from technical validation conducted at over 200 power plants confirmed significant improvements in energy yield through the implementation of optimizers.

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Average Yield Improvement

The implementation of optimizers in areas with shading and power variance resulted in an average annual yield improvement of over 8%.

Maximum Improvement Case

Through indirect loss prevention technology, a 12.5% improvement in energy yield was proven at a specific project site.

Analysis Indicators

By analyzing voltage and current graphs for each module, the causes of power degradation are precisely diagnosed, and profitability reports are generated.

System Diagram

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Boost

Buck

Decoupled String

Boost

When the overall voltage is insufficient due to cloudy days, morning/evening hours, or aging of panels :

Automatically raises the voltage to the "minimum startup voltage" required for the inverter to operate.

Buck

When the output of certain panels drops due to shading or contamination :

Lowers the voltage and amplifies the current to prevent the total current from being dragged down by the weakest panel.

Decoupled String

When the output of certain panels drops significantly (close to zero) due to shading or contamination :

Disconnects the mismatched panels and connects only the remaining normal panels.

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System Operations & Maintenance (O&M)

Data collected from hardware is integrated with a digital management platform

to establish a precision diagnostic system.

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1

Power Plant Data-Based Automatic Analysis (Weather Data Integration)

Analyzes power generation performance from multiple perspectives by combining actual power plant generation data with real-time weather observation data.

2

String Data-Based Automatic Analysis (Weather Data Integration)

Monitors the status of subordinate module groups with precision by analyzing the string-level data of the inverter.

3

MLPE Data-Based Automatic Analysis

Analyzes module-level precision data collected through the Osolar Optimizer (MLPE).

4

Remote Monitoring & Anomaly Alerts

Provides an intelligent control system that enables managers to respond immediately.

Automate Your Operations
with O'Solar

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BYTEWORX

Corp.

6F, N&E Building, 1-12-4 Ginza, Chuo-ku,
Tokyo 104-0061, Japan
Copyright BYTEWORX inc. All Right Reserved.

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