Opportunities
If you are interested in working on a Bachelor, Semester, or Master project with us, you can find the projects we currently offer below or on external page SIROP. For further information, visit our student projects page for more insight into previous student work done with the Chair.
In case you have project ideas not currently related to any of these projects, please feel free to propose your own project and send your ideas to .
Explore downscaling methods for transmission capacity at the municipal level
The Swiss electricity transmission system is managed at several voltage levels, with the high-voltage (220-380 kV) and medium-voltage (36 kV) networks well documented. However, there is a significant gap in data availability below the 36 kV threshold, particularly at the municipal level. This lack of granular infrastructure data hampers efforts to accurately assess local transmission capacities, which is essential for regional energy planning, grid resilience and integrating renewable energy sources. Given these limitations, there is a critical need to develop methodologies that can estimate transmission capacities at the municipal level using available cantonal data and scalable modeling techniques. To improve the model accuracy at the distribution level.
Keywords
Transmission capacity, municipal-level grid planning, power distribution networks, geospatial analysis/mapping, energy system planning, python
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Semester Project , Master Thesis
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Published since: 2025-03-06 , Earliest start: 2025-03-03 , Latest end: 2025-08-31
Applications limited to ETH Zurich
Organization Chair of Energy Systems Analysis
Hosts Reyes Wendy , Heymann Fabian
Topics Engineering and Technology
Multi-Criteria Decision Analysis (MCDA) online tool development
Multi-Criteria Decision Analysis (MCDA) is a critical field that focuses on supporting complex decision-making processes involving multiple, often conflicting criteria. In areas like energy systems analysis and environmental management, MCDA methods help evaluate and compare different technologies or strategies based on various performance metrics and stakeholder preferences. With the growing complexity of energy systems and the integration of new technologies, there is a pressing need for advanced tools that can assist decision-makers in making informed decisions. Developing an online tool that incorporates MCDA methods will facilitate a more transparent and interactive decision-making process, allowing users to elicit preferences and understand trade-offs between different options.
Keywords
Multi Criteria Decision Analysis, Linear programming, Data Visualization, Software development, Python
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Internship
Description
Goal
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Published since: 2024-12-10 , Earliest start: 2024-12-10 , Latest end: 2025-12-31
Organization Chair of Energy Systems Analysis
Hosts Huang He , McKenna Russell
Topics Engineering and Technology