Solar Data Collector

Solar Data Collector

Solar Data Collector


Solar Data Collector is a solution for assessment, monitoring and optimization of solar(pv) systems.

Solar Data Collector creates a solution for advanced forecasting, assessment, monitoring, optimization and proactive management of the output of photovoltaic systems. The solution measures irradiation, temperature and humidity in a more precise manner and uses meteorological data from various sources for predictions’ modelling. The solution estimates the amount of energy that can be generated by photovoltaic panels on a given location and helps optimize the specifications for maximum benefit, and also can predict and alert loses. Compared with other solutions which rely on satellite data only, this product adds sensor measurements from the location to the equation and combined with historical satellite data it is more accurate.

Worldwide growth of photovoltaics (PV) is a continuous exponential curve, evolving from a niche market of small scale applications to a mainstream electricity source. Nevertheless, frequently varying output of PV caused by clouds movement and weather condition make it an intermittent and unreliable source when connected to grid. Connecting intermittent sources to grid introduces challenges in various technical aspects such as power quality, protection, generation dispatch control and reliability. In this context, the use of advanced forecasting of variable generation has become an essential strategy, allowing users to proactively manage the system’s output and maintain grid’s stability and minimizing grid loses. Moreover, evaluation of performance in highly variable conditions is difficult without the use of precise data. The solution consists of a portable meteorological station which can be installed on the location of the photovoltaic system and a cloud based platform for data storage, advanced analytics and visualization.

Solar Data Collector can aid the following:

1. Feasibility assessment

-Fast report generation in less than 5 minutes
-Increased certainty by using multiple data sources, including satellite data and on-site measurements
-System sizing helper, that guides the creation of a preliminary technical specification
-Optimization of cost benefit through prioritizing different metrics such as: ground coverage ratio, energy yield per square meter land, energy yield per kWp and others

2. Continuous monitoring of PV plants

-Direct integration with the inverters without installation of additional hardware
-Early fault detection, by continuous analysis of the energy yield and other inverter channels
-Performance assessment, by calculating various metrics such temperature degradation, inverter efficiency, photovoltaic module efficiency, performance ratio, deviation from nominal operation, self-sufficiency, energy flow metrics and others.
-Automated alerting

3. Energy yield forecasting

-40% more accurate short term energy yield forecasting using machine learning models
-Fully automated, updated daily with the latest weather forecasts
-Adapted to the standards and regulations for energy production for each market particulary
-Forcasting 7 days ahed with minimal uncertainty

4. Real time maintenance and alerting support

-Supporting maintenance operators/installers to do effective remote management for small PV plants.

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Location Boulevard of St. Petar Cetinjski 56