Instant quality assessment of ground measurements irradiance data:
- Data availability and soundness
- Sensor installation issues
- Data acquisition setting mistakes
- Shading of sensor
- Deviation from sensor specifications
How it works
- You upload the data collected on sites.
- Automated Quality Check analyses the data.
- You get a report on the quality of your data and suggested improvements.
Your data
Create Sites
Your PV plant, meteo station, or other location where the measurements happen
Add Sensor(s)
Provide key details of your EKO pyranometer or another irradiance sensor you use
Upload Data
Import your measurement data
Run Analysis
Use suggested settings or further fine-tune your analysis
Key figures, recommendations and details
What is under the hood
Fully automated Quality Check protocol uses EKO's deep knowledge of solar irradiance measurements tailored to PV field experience. We check the data for patterns of common issues with the sensors, data acquisition system, and maintenance. We estimate how these issues impact key performance indicators to help you decide whether you need to do something to improve your system.
We correlate the measurement data with sensor specifications and irradiance estimated by global data banks that use physical models and satellite data. You can choose which data to use or use your own dataset to correlate with.
You can also compare data from multiple co-located sensors on sites.
What do you get
The analysis results in a structured PDF report providing a condensed summary and extensive details.
The summary part focuses on KPI estimates and issues we detected in your data so that you can immediately see if there is a problem. We only show the insights that we derived with confidence, along with the impact on major KPIs that you can expect from them.
The detailed part contains many numbers, tables, and graphs for a deep dive. Your expert eye may see features that automated analysis could not.