ASU representative spoke about the assessment of the potential of "green energy" at an international conference in Suzdal

Semyon Teploukhov, the head of the Laboratory of Renewable Energy Sources at Adyghe State University, participated in the International Conference celebrating the 70th Anniversary of the Geophysical Center of the Russian Academy of Sciences and the 300th Anniversary of the Russian Academy of Sciences. The event, titled "Data Science, Geoinformatics and Systems Analysis in Earth Studies," took place from September 25 to 27 in Suzdal.

Over one hundred scientists from Russia, China, India, Austria, and other countries were in attendance. Organized with the support of the Russian Academy of Sciences, the conference focused on contemporary issues related to systems analysis, geoinformatics, and the theory and practice of big data in addressing both fundamental and applied challenges in the field of Earth sciences.

The conference featured sessions conducted by prominent Russian scientists, such as Corresponding Member of the Russian Academy of Sciences and Director of the Geophysical Center, Anatoly Solovyov, as well as Academician of the Russian Academy of Sciences and Scientific Director of the Geophysical Center, Alexey Gvishiani. Participants engaged in discussions on a range of topics, including natural and man-made disasters, geoinformatics in Earth sciences, instrumentation for research in Earth sciences, and more.

Semyon Teploukhov delivered a report at the conference titled "Using Climate and Geospatial Data in Assessing the Potential of Green Energy and Designing Energy Systems with Renewable Energy Sources." During the discussion, particular emphasis was placed on the challenges related to gathering climate and geospatial data from diverse sources, along with their application in evaluating the potential of renewable energy sources.

Let us recall that this issue is currently being addressed by the ASU Youth Laboratory of Renewable Energy Sources. Utilizing grant funding, the laboratory team is conducting research focused on developing an efficient energy system that leverages renewable energy. The team is in the process of creating an intelligent analytical system (IAS) designed to evaluate renewable energy solutions based on digital twins. This is crucial for enhancing efficiency and meeting the country's energy demands by harnessing unlimited energy resources. To date, this challenge remains unresolved—renewable energy sources (RES) are often referred to as "alternative" primarily due to their limitations in providing continuous demand satisfaction under specific conditions when compared to traditional energy sources.