More powerful solar energy through AI-driven solutions

Artificial Intelligence (AI) has become one of the most promising fields for driving progress towards environmental and climate protection. By developing AI solutions, researchers and companies aim to reduce energy consumption, optimize resource usage and increase the use of renewable energy sources. fortiss is taking up this challenge by working on AI-based solutions for a more sustainable future within the recent project AuSeSol-AI (AI methods for self-sufficient and self-optimizing solar power generation), which aims to op-timize the performance of solar energy systems through machine learning algorithms.

Solar energy is one of the most powerful renewable energy sources with the potential to provide a significant share of the world's energy needs. However, the performance of solar energy systems can be affected by several factors, including weather conditions, dust and other environmental aspects. This makes it essential to develop efficient methods for monitoring and controlling solar energy systems in order to optimize performance and improve reliability.

The AuSeSol-AI project, in which fortiss is collaborating with DLR, TUM, CSP Services, Jülich Research Center and Industrial Solar, is being carried out by research and industry experts in the fields of AI, machine learning, solar energy and data analysis. The goal is to develop an AI-based system for monitoring, controlling, and optimizing solar energy system performance. The project is funded by the German Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (BMUV) and is scheduled to run until July 2025. fortiss will focus on the following goals:

  • Optimized AI algorithms for operational data analysis
  • Anomaly detection in solar power plants using AI
  • AI-based operational assistance systems for decision-making processes
  • AI-based plant control for process steam plants


Integration of AI in solar thermal heating and sustainable power generation

The AI system developed within the project will take data from the Andasol 3 solar thermal power plant near Granada, Spain and use machine learning algorithms to analyze big data from various sensors and other sources to optimize the plant’s performance. The research team will also develop new sensors and monitoring systems that can provide more accurate data for the AI system to analyze.

The project will focus on the use of CSP (concentrated solar power) technology, which uses mirrors or lenses to concentrate sunlight onto a small area to generate high temperatures, which can then be used to produce steam and drive a turbine, allowing it to provide power even when the sun is not shining.

The main goal of the project is to increase the efficiency and reliability of solar energy systems, which will contribute to reducing greenhouse gas emissions and improving the overall sustainability of energy production. In addition, the project aims to develop a scalable and cost-effective solution that can be used in various solar energy systems.

In conclusion, the AuSeSol-AI project is an important step toward the development of innovative and sustainable solutions for environmental and climate protection.

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