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Our Class A/B Pyranometers deliver laboratory-grade accuracy for solar radiation measurement, engineered to match stringent ISO 9060:2018 standards. The Class A sensor (≤2% uncertainty) meets research-level demands, while Class B offers industrial reliability at competitive pricing. Designed as a high-performance alternative to OTT pyrnometers, they combine low thermal drift, broadband spectral response (280-3000nm), and ruggedized construction for permanent outdoor deployment.
◀◀ Key Selling Points ▶▶
· Class B is the classification of the sensor according to the standards set by the International Organization for Standardization (ISO).
· Class B sensors are suitable for general solar radiation measurements but offer lower precision compared to Class A sensors.
· Class A sensors are typically used for highly accurate, reference-grade measurements in research and calibration, while Class B sensors are more cost-effective and still provide good accuracy for many applications, including solar energy monitoring.
Why Class B?
· Cost-Effective Precision: Offers sufficient accuracy for non-critical applications, avoiding the higher cost of Class A.
· Real-Time Capability: Enables immediate decision-making in dynamic systems like smart grids or automated buildings.
· Versatility: Suitable for diverse sectors needing reliable solar data without ultra-high precision, from agriculture to urban planning.
Thermopile Sensing Core:
Converts absorbed solar energy (W/m²) into a millivolt signal via a black-coated thermopile, ensuring uniform spectral absorption.
Dome-shielded design minimizes cosine error for accurate diffuse/direct radiation measurement.
Smart Output & Compensation:
Active temperature compensation maintains ±1% stability across -40°C to +80°C.
Configurable outputs: 4-20mA, 0-5V, or RS485 (Modbus RTU) for seamless integration with SCADA/IoT gateways.
◀◀ Product Parameters ▶▶
This sensor excels in scenarios where dependable, real-time solar data enhances operational efficiency, sustainability, and research validity, all within a moderate budget.
| Parameter | TBQ(L-B) | TBQ(L-A) |
|---|---|---|
| Level | National Standard Level 1 | High Precision / Good Quality |
| Response Time (95% response) | <10 s | <5 s |
| Stability (Annual drift, %FS) | ±2% | ±1.5% |
| Non-linearity | ±1% (at 100~1000 W/m²) | ±1.5% (full scale) ±1% (at 100~1000 W/m²) |
| Sensitivity Range | 7–14 μV/(W/m²) | 7–14 μV/(W/m²) |
| Operating Temperature | -40 to 80 °C | -40 to 80 °C |
| Internal Resistance | <30 Ω | <10 Ω |
| Measuring Range | 0–2000 W/m² | 0–2000 W/m² |
| Spectral Range | 280–3000 nm | 280–3000 nm |
| Horizontal Calibration | Includes bubble level & adjustable feet | Includes bubble level & adjustable feet |
| Weight (excluding cable) | 0.8 kg | 0.8 kg |
| Protection Level (IP) | IP67 | IP67 |
| Calibration Cycle | Every 2 years | Every 2 years |
| Output Signal (No external transmitter) | 0–20mV / RS485 / 4–20mA | 0–20mV / RS485 / 4–20mA |
◀◀ Application Scenarios ▶▶
Application Scenarios of Class B High Precision Real-time Monitoring Solar Pyranometer Sensor
1. Solar Energy Systems
- Photovoltaic (PV) Performance Monitoring: Ideal for medium-scale solar installations, this sensor provides real-time irradiance data to optimize energy output, detect panel shading, or soiling. Class B balances cost and accuracy for efficient performance tracking.
- Solar Resource Assessment: Used in pre-installation site surveys to evaluate solar potential, aiding in feasibility studies for new PV projects.
2. Meteorological Monitoring
- Weather Stations: Integrates into networks for climate modeling and real-time weather forecasting. Supports data collection for solar radiation databases critical in understanding regional climate patterns.
3. Agricultural Management
- Smart Irrigation Systems: Enhances precision agriculture by correlating irradiance with evapotranspiration rates, enabling efficient water use and crop scheduling.
4. Environmental Research
- Ecosystem and Climate Studies: Monitors solar input for research on microclimates, carbon cycles, or renewable energy impact assessments. Class B suits field studies requiring reliable, mid-tier accuracy.
5. Building Automation
- Smart Lighting/HVAC Control: In smart buildings, real-time data adjusts indoor environments based on sunlight availability, improving energy efficiency and occupant comfort.
6. Educational and Research Tools
- Academic Labs: Used in universities for teaching solar energy principles or conducting student experiments, offering a practical balance between cost and functionality.
7. Solar Tracking Systems
- Dynamic Panel Adjustment: Provides immediate irradiance feedback to optimize sun-tracking algorithms, boosting energy capture without the need for Class A expense.
8. Grid Management
- Renewable Energy Integration: Utilities use real-time data to balance grid load by predicting solar generation fluctuations, aiding in demand-response strategies.
9. Horticulture
- Greenhouse Optimization: Monitors light levels to regulate artificial lighting and shading systems, ensuring optimal growth conditions for plants.
10. Aviation Safety
- Airport Weather Systems: Supports runway safety by contributing to real-time weather reports, including solar glare or radiation levels.
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