Laboratory for Energy Systems Analysis (LEA)
LEA is an interdivisional laboratory of the Nuclear Energy and Safety Research Division (NES) and the General Energy Research Division (ENE). It unites specific analytical research concerning diverse energy technologies and systems, including nuclear, fossil and (modern) renewables. In cooperation with external partners (e.g. the Swiss Federal Institute of Technology (ETHZ) and many others), LEA carries out energy systems analyses relevant for energy policy issues as well as safety analysis based on Probabilistic Safety Assessment (PSA) and focused on Human Reliability Assessment (HRA). LEA is led by Prof. Dr. Russell McKenna and monitored by a Steering Committee consisting of Prof. Dr. Andreas Pautz (NES Div. Head) and Prof. Thomas J. Schmidt (ENE Div. Head). In April 2017, Stefan Hirschberg retired after serving as the Head of the laboratory since its establishment in 2006. He is now a Senior Level Advisor, contributing to the leadership and continuity of selected activities. Since February 2022, LEA is strongly linked to the Chair of Energy Systems Analysis at the D-MAVT Department of ETHZ.
The LEA areas of activities fall into three main areas:
Lab News & Scientific Highlights
New report: “Future demand for flexibility and the significance of baseload energy in Switzerland”
In a new report, “Future demand for flexibility and the significance of baseload energy in Switzerland,” PSI-LEA researchers examine the role of baseload energy in Switzerland's energy system and discuss the challenges of transitioning to a mostly CO2-free system.
Highlights from the joint PhD Seminar in Rastatt
Participants from PSI-LEA, Russell McKenna’s Chair for Energy Systems Analysis at ETH Zürich, and Prof. Valentin Bertsch’s Chair of Energy Systems and Energy Economics at Ruhr University Bochum gathered in Rastatt, Germany, for a three-day seminar in February.
Dr. Eleftherios Siskos is the recipient of the Bernard Roy Award 2023
Dr. Eleftherios Siskos has received the prestigious Bernard Roy Award 2023 by the European Working Group (EWG) on Multiple Criteria Decision Aiding (MCDA).