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Advanced optimization model for municipal energy transitions in Switzerland
The transition to a sustainable energy future requires robust decision-support tools to identify suitable energy transition pathways based on local circumstances. This is particularly challenging in the context of local energy systems, where data is frequently lacking or of low quality. The RE3ASON energy system model, performs an assessment of the local energy demand, renewable potential and existing infrastructure and determines an optimal energy transition pathway based on this information. A new development based on this model using the open-source Spine toolbox and SpineOpt aims to enhance the flexibility and adaptability of the model while extending the model scope to Switzerland. This project, part of the Swiss Center of Excellence on Net-Zero Emissions, aims to develop a modular optimization model for Swiss municipalities. It offers the opportunity to work with cutting-edge tools in energy system modelling.
Keywords: Energy system optimisation, techno-economic modelling, open-source tools, sustainable energy
The tasks of the project are:
• Developing an optimization model in SpineOpt based on RE3ASON and an existing toy model.
• Designing a modular framework that allows for easy adjustment of the model complexity.
• Testing and validating the optimization model in close collaboration with team members.
• Documenting the model features and providing recommendations for further development.
• (If Master thesis:) Integration of advanced features such as:
1. Spatially disaggregated modeling of hydrogen infrastructure
2. Electric vehicles with flexible charging
3. Consumer preferences and their impact on flexibility potentials
The tasks of the project are: • Developing an optimization model in SpineOpt based on RE3ASON and an existing toy model. • Designing a modular framework that allows for easy adjustment of the model complexity. • Testing and validating the optimization model in close collaboration with team members. • Documenting the model features and providing recommendations for further development. • (If Master thesis:) Integration of advanced features such as: 1. Spatially disaggregated modeling of hydrogen infrastructure 2. Electric vehicles with flexible charging 3. Consumer preferences and their impact on flexibility potentials
The primary objective of this project is to develop a flexible and modular optimization model at a municipal scale. The required level of detail varies between case studies and the new optimization model will enable users to increase or decrease the granularity of individual modules based on stakeholder requirements. The resulting optimization model should match or exceed the detail of the RE3ASON model, ideally expanding
to cover aspects such as the representation of energy infrastructures or consumer preferences. This project will involve close collaboration with team members.
The primary objective of this project is to develop a flexible and modular optimization model at a municipal scale. The required level of detail varies between case studies and the new optimization model will enable users to increase or decrease the granularity of individual modules based on stakeholder requirements. The resulting optimization model should match or exceed the detail of the RE3ASON model, ideally expanding to cover aspects such as the representation of energy infrastructures or consumer preferences. This project will involve close collaboration with team members.
If you are interested in the project, please forward your CV and transcript by e-mail to Febin Kachirayil fkachirayil@ethz.ch or Jiangyi Huang jiahuang@ethz.ch.
This project could be carried out as a group project, together with the following projects: Input data management for advanced energy system models and Data-driven decision support: Analyzing and visualizing energy model outputs
If you are interested in the project, please forward your CV and transcript by e-mail to Febin Kachirayil fkachirayil@ethz.ch or Jiangyi Huang jiahuang@ethz.ch. This project could be carried out as a group project, together with the following projects: Input data management for advanced energy system models and Data-driven decision support: Analyzing and visualizing energy model outputs
Student project_optimzation_model.pdf
