A technology for optimizing solar systems is the goal of the so-called joint project Dig4morE, to which the Helmholtz Institute Erlangen-Nuremberg and the photovoltaic companies Sunsniffer, Aquila Capital and Sunset Energietechnik belong. Using artificial intelligence, the project partners want to develop a methodology that suggests optimization measures for solar systems.
Thanks to the methodology, errors can be read directly on site from the monitoring data of the individual solar modules. The aim is also to develop a method that can detect faults in the solar systems even under different weather conditions. The photovoltaic companies are therefore making data from eleven solar parks located throughout Europe available to the researchers.
The new method should enable a more cost-effective analysis of the errors. According to the project managers, faults in the solar modules can already be detected using thermographic analyses, for example, but this is expensive and time-consuming. Those responsible for the project expect the first results towards the end of the year. Among other things, they want to derive recommendations for action from these.
Source and further information: fz-juelich.de
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