Have a reliable reference for your performance calculations without installing another ground sensor. Solargis Monitor data service provides a satellite-based solution to cover the most recent periods in almost real-time.
Solargis Monitor works for any site covered by Solargis irradiance model. This means that you can work with the same source of reference data, no matter where the solar power assets were installed or when. The current irradiance values are available right after a few minutes, i.e. the time the system takes to retrieve and process the satellite images.
The service is ready to go just after choosing the system's most important parameters. Besides the power plant coordinates, other PV system settings can be provided for the calculation of expected energy yield.
Since the service works with input data provided by geostationary satellites, the delivered outputs are given with no gaps. This is essential to assess the whole period when PV plants are producing energy.
Since Monitor relies on satellite remote sensing technology, for having the service up and running there is no need for cleaning, calibration, or maintenance of any ground-installed device on the power plant’s side.
At the end of the month we recalculate the operational/daily data to increase the accuracy of the values provided.
Run a consistent reporting activity for your whole portfolio of PV assets. Thanks to the continuous stream of data provided for all your locations, Solargis Monitor makes the whole process more efficient.
Since the satellite-based reference data used in Monitor is not directly measured by the PV asset managers, the service provides third-party validation of the reported performance values when presenting them to stakeholders. Similarly, PV production values will be independently validated to support the consistency of the statistics.
No matter whether you have one or one thousand sites to be monitored, Solargis Monitor is ready to deliver all necessary data to meet your reporting requirements.
The service not only provides irradiance and meteo parameters like temperature, wind, etc. but it also calculates the Global Tilted Irradiance (GTI, also known as plane-of-array), and the expected PV yield based on current site conditions.
This allows the calculation of theoretical performance ratio (PR), and other indicators like the energy performance index.
By combining the most recent information with other reference periods, Solargis Monitor allows studying the evolution of the site conditions along with the related performance results.
To fully understand any regional weather patterns and have a better geographical context, data streams are delivered as an add-on with Monthly reports.
The reports show solar radiation received during the latest period. Besides, the difference in the average values expected in the long term is also represented on the maps, which is useful for identifying the most recent climate anomalies related to solar irradiance and other meteo parameters like precipitation and temperature.
Monitor service is optionally offered together with regular quality assessments done by our team of experts. This is key to identifying non-valid measured values before calculating any further performance metrics.
Alternatively, access to Analyst software is also possible, allowing your team to perform manual flagging and automatic checks on your measured data, among other features.
Connect any monitoring platform you are already using with reference data streams provided by Solargis Monitor. Automating the ingestion of key data inputs is possible with the Solargis API service.
Our team has an open collaboration channel with the most popular software platforms available in the market so the integration of Solargis data is faster and easier.
Together with REST API, we also offer the possibility to receive data via SFTP/FTP for those users who work under this data transfer protocol.
A full set of PV system settings for calculating the expected PV yield is available within the API. This way more realistic results can be obtained when comparing expected vs real power production.
