15 August 2023
Many photovoltaic plants in Germany are not exploiting their potential to generate electricity. In the dig4morE research project (Digitized O&M Management for Securing Yields of Solar Plants), the project partners aim to detect and activate this unused potential and other plant deficits using high-precision sensor technology, modern monitoring and evaluation concepts, and optimized operational management strategies. This should extend the service life of the solar parks and increase the yield, as well as develop concepts for new, low-loss large-scale projects.
In the current interview with Project Management Jülich, photovoltaics researcher Dr. Claudia Buerhop-Lutz explains why collecting and evaluating large amounts of data from photovoltaic plants plays a central role in the project. She also reports on how artificial intelligence (AI) supports her work to identify deficits in solar parks at an early stage.
Using artificial intelligence (AI) to fully exploit the potential of solar plants: This is the overarching goal of the dig4morE joint project, which includes the Helmholtz Institute Erlangen-Nuremberg and the photovoltaic companies Sunsniffer, Aquila Capital and Sunset Energietechnik. The project partners want to develop a methodology that uses AI to quickly and cost-effectively suggest suitable measures for optimizing plants. The evaluation only requires monitoring data generated during ongoing operation. The German Federal Ministry of Economics and Climate Protection (BMWK) is funding the project with more than 2 million euros over a period of three years.
