
Utility-scale solar projects frequently fall short of winter yield projections—not due to a lack of sunlight, but because monitoring sensors are obstructed by ice and snow. In cold climates, the distinction between a high-performing asset and a financial under performer often rests on a single critical component: pyranometer ventilation and heating.
When snow, frost, or dew accumulates on a sensor dome, it effectively blinds the monitoring system. For asset managers relying on Performance Ratio (PR) calculations to verify system health, this data loss represents a significant risk to Return on Investment (ROI).
The Hidden Cost of Winter Data Gaps
In regions prone to sub-zero temperatures, traditional passive pyranometers struggle with environmental interference. According to the National Renewable Energy Laboratory (NREL), frost and snow accumulation can introduce errors that far exceed a sensor’s calibrated uncertainty, leading to measured irradiance errors of 5% to 10% on a daily total basis [1].
- The Accuracy Trap: Without active heating and ventilation, dew and frost remain on the sensor dome long after sunrise. A recent study by the 3IT Institute (Université de Sherbrooke) quantified that even light snow (0–6 cm) causes a measurement discrepancy of approximately 11.8% when compared to heated reference sensors [2].
- Compliance Standards: To mitigate these risks, the IEC 61724-1 standard for Class A monitoring specifies that ventilation or heating is required for systems in locations where frozen precipitation occurs more than a few days a year [3].
- False Fault Detection: Skewed readings make it difficult to distinguish between genuine system faults and environmental obstructions, leading to unnecessary and costly O&M truck rolls.
The EKO MS-80SH: Engineered for the Extreme
The EKO MS-80SH is designed as a comprehensive all-weather data protection system. As an ISO 9060:2018 Spectrally Flat Class A (Fast-Response) instrument, it provides the precision required for high-stakes monitoring in the harshest environments.
Why Integrated Ventilation is a Game-Changer
The MS-80SH features an integrated solid state fanless heating system. Unlike modular “bolt-on” accessories, this design is optimized for efficiency and aerodynamics:
- Active Defrosting: Internal heating maintain the dome temperature above the dew point, preventing frost and ice from bonding to the glass.
- Maintenance free: The absence of a ventilator creates a maintenance free and reliable solution that prevents snow from settling and helps shed dust and pollutants (soiling).
- Low-Power Efficiency: Optimized for remote stations, the MS-80SH consumes less than 1.4W total power with high-efficiency dome heating active [4].
Beyond Heating: Precision Under Pressure
Effective winter monitoring requires maintaining accuracy during rapid temperature shifts. The MS-80SH features a patented low thermal offset design, ensuring a zero-offset of < 1W/m2. This ensures that even as temperatures drop, data remains pure and free from the thermal “noise” that typically plagues standard thermopile sensors.
Furthermore, internal diagnostics within the MS-80SH allow O&M teams to verify sensor health remotely. Built-in sensors for tilt, internal humidity, and temperature provide real-time assurance that the irradiance benchmark is level and functioning correctly, even when the site is inaccessible due to heavy snow.
Technical References & Sources
- NREL (National Renewable Energy Laboratory): Best Practices for Solar Radiometer Calibration. Supports the 5-10% uncertainty and environmental impact data.
- ResearchGate (3IT Institute): An Experimental Platform for Quantifying the Impact of Snow Accumulation on Pyranometer Measurements. A 2025 study verifying the 11.8% error caused by light snow.
- Sandia National Laboratories: PVPMC Irradiance Measurements and Models. Technical requirements for maintaining sensor clarity to meet industry standards.
- EKO Instruments: MS-80SH Official Specifications & Data Sheet. Official technical documentation for power consumption and ISO classification.