MSc. Julia Barbosa
Thermo-Electric Local Energy Markets
Research Interest
- Thermo-Electric Local Energy Markets
- Energy System Design Optimization
- Game-Theory
- Complementarity Modeling
Research Project
Climate change is a major issue influencing the design of modern energy systems. These systems are marked by an escalating complexity that extends the technical solutions employed, to encompass new markets and contracting structures. To promote the energy transition and achieve a more sustainable future, it is crucial to understand how new technical solutions impact the composition and structure of contracts, as well as, energy and carbon markets.
Our research currently focuses on the creation of fundamental models for the study of complex energy systems. These models are employed to investigate the interconnections between technical constraints, markets, and contract design, with the goal of identifying market and contract designs that effectively incentivize decarbonization in energy systems.
Open theses
Supervisor: Julia Barbosa
Earliest start: immediately
Type: Bachelor Thesis
Game-theoretic models provide a valuable framework for analyzing strategic interactions in economics, engineering, and the social sciences. In the energy sector, they are particularly useful for studying competitive behavior in energy trading as well as attack-defense dynamics in resilience analysis. Classical examples include Cournot, Bertrand, and Stackelberg competition, which can often be formulated as part of a broader class of equilibrium problems. These formulations offer a unifying mathematical structure for analyzing existence, uniqueness, and computation of equilibria. This thesis focuses on visualizing equilibrium problems to highlight their underlying mathematical structure and solution properties. For classical competition models, the student will develop small, illustrative examples with relevance to energy systems. Special emphasis will be placed on portraying equilibrium sets, best-response mappings, and geometric interpretations of variational formulations. The goal is to provide intuitive, visual representations that may help researchers in developing new solution algorithms.
Short Bio
- Since 2020: PhD student at EINS
- 2019-2020: Construction Analyst Intern at Total Eren. São Paulo, Brazil.
- 2017-2019: Master of Science in Electrical Engineering at Technische Universität Darmstadt (TU Darmstadt). Darmstadt, Germany.
- 2014-2019: Diploma in Electrical Engineering at Escola Politécnica da Universidade de São Paulo (EP-USP). São Paulo, Brazil.