Data-POETRY: Data-informed POlicy Exploration for TRansportation and energY
2025 - 2028
Ambizione Grant awarded by the Swiss National Science Foundation
Read more here: https://data.snf.ch/grants/grant/233333
As our energy system is transformed in the fight against climate change, it is a challenge to balance the technical complexities and big-picture objectives with their impacts on people and communities. Policy is used to support and guide the transition, but researchers lack the right quantitative modeling tools to inform policymakers about new policy designs and their impacts on the larger system. Existing models are too computationally expensive to go beyond scenarios to produce better policy mixes that address these multiple objectives.
In this project, we aim to develop a new modeling suite to assess and optimize policy mixes related to electric vehicles and the electricity system transition. Key policy case studies include: vehicle purchase subsidies that shape EV adoption, charging infrastructure investments that shape EV driver charging behaviors, and pricing signals that shape the EV charging process. We plan to use machine learning meta models to facilitate the optimization of these policies. The goal of the project is to contribute insights to support better policies for the EV transition and reveal the trade-offs between cost, emissions, equity, and health objectives in their design.
AMBER: AI-supported Modeling and Business cases for Energy grid in euRope
2025 - 2027
A strategic partnership between Everllence, Volkswagen, and ETH Zürich, the AMBER project uses state-of-the-art methods to improve modeling for the European energy system. Our work in the AMBER project focuses on the business case for new technologies including mega-scale heat pumps and commercial electric vehicles. Under which conditions will these technologies see widespread deployment? Within ETH Zürich, AMBER is a collaboration between SusTec, EPSE, PSL, the Energy Science Center, and the ETH AI Center.
PATHFNDR: PATHways to an Efficient Future Energy System through Flexibility aND SectoR Coupling
2021 - 2027
PATHways to an Efficient Future Energy System through Flexibility aND SectoR Coupling (PATHFNDR), supported by the Swiss Federal Office of Energy, aims to identify feasible transition paths for integrating renewable energies in Switzerland. The PATHFNDR project focuses on flexibility and sector coupling in the Swiss energy system. I am a co-Work Package leader and was co-lead author of the cross-project Synthesis Report "Flexibility provision from electromobility and buildings". Read more here: https://sweet-pathfndr.ch/research-synthesis/.