Lectures and Courses

• Collect indicators: compile quantitative metrics across journals. • Define qualitative criteria: operationalize constructs like methodological rigor, policy relevance, replication culture, editorial transparency. • Design & run the expert survey: ask energy scholars to rank journals they know and elicit criterion importance. • Develop a group MCDA framework: aggregate many experts’ inputs (weights, rankings) into a fair, robust consensus result. • Explain the ranking: apply rule-extraction to state the reasons behind each journal’s position • Visualize & report: build clear dashboards/figures and write a concise study report (potential publication).

We will build a mass-expert, MCDA-based ranking of energy journals. Global experts will rank journals they know; we’ll combine these inputs with bibliometric and qualitative indicators, and use a group decisionmaking framework. For explanation, we’ll employ MCDA tools (with Dominance-based Rough Set Approach (DRSA) as one explanatory module) to derive human-readable reasons behind the rankings.

Dr. River Huang, river.huang@psi.ch

This student project aims to review the latest developments in STES technologies and their techno-economic characteristics, as well as common approaches to modelling STES in energy system models. The project's objectives are threefold: 1) to conduct a literature review on STES studies, 2) to compile a comprehensive techno-economic database for STES technologies, ideally expanding data sources be-yond the Danish Energy Agency’s technology catalogue, and 3) to identify suitable STES modelling ap-proaches for energy system models, differentiating between economic dispatch and investment and dis-patch models. The tasks of the project are: - Review relevant academic and non-academic literature and data sources to collect techno-economic data for different STES technologies. - Review relevant academic literature on STES energy system modelling to identify and compare existing modelling approaches. - Synthesising the literature review findings into a techno-economic database - Modelling analysis to create cost functions (e.g. stepwise linear) for STES technologies, that are suitable for energy system models. - Write the project report and present the findings in a talk.

This project can be conducted as a Bachelor thesis or semester project. If you are interested, please send your CV and transcript to jhermann@ethz.ch