Knowledge modelling and semantic technologies

LCA4CSP

To accurately assess the sustainability benefits of solar thermal technology in future energy scenarios, up-to-date data is needed, but current life cycle analysis (LCA) databases do not have recent entries for CST systems, making evaluation of the technology challenging. Currently, the LCA field – particularly for CSP/CST – lacks the formalized vocabularies and data models needed to fully implement FAIR (Findable, Accessible, Interoperable, Reusable) data principles. This gap hinders effective data integration and limits the potential for comprehensive analysis and knowledge sharing within the field.

Within the framework of the project LCA4CSP, we are examining solar thermal systems to learn how they can be used efficiently. Our goal is to understand their capabilities and determine the ideal conditions for producing and storing solar heat. This information will enable us to make well-informed decisions about transitioning to a more sustainable energy future.

The Jülich Solar Towers in front of the mirror field during an experiment
On the left is the solar tower power plant with a radiation receiver at the top and an experimental level. On the right is the Multifocus Tower with three experimental levels.

The project combines the expertise of multiple DLR institutes. While our partners contribute knowledge and technologies in solar concentration systems and LCA methodologies, the DLR Institute of Data Science will provide a crucial, unique contribution in knowledge modelling and semantic technologies. Specifically, the institute is responsible for developing an ontology – a formal representation of knowledge – to improve knowledge sharing, data integration, and reasoning within the project consortium and beyond. This ontology will formalize knowledge of technologies, components, and processes, enabling standardized LCA and improved data organization. Further, it will inform data management system requirements and facilitate seamless integration of Life Cycle Inventory (LCI) data, ultimately supporting standardized and comparable evaluations of diverse concentrated solar technologies.

Project duration: 01/2025 - 12/2027

Participating institutes and facilities