EURO-Online login
- New to EURO? Create an account
- I forgot my username and/or my password.
- Help with cookies
(important for IE8 users)
2363. Integrating EV charging behaviour into a municipal energy system model to explore trade-offs between flexibility and battery degradation
Invited abstract in session MC-19: Multi-energy systems, stream OR in Energy.
Monday, 12:30-14:00Room: 44 (building: 116)
Authors (first author is the speaker)
| 1. | Linda Brodnicke
|
| Mechanical and Process Engineering, ETH Zurich | |
| 2. | Febin Kachirayil
|
| ETH Zürich | |
| 3. | Paolo Gabrielli
|
| Mechanical and Process Engineering, ETH Zurich | |
| 4. | Giovanni Sansavini
|
| ETH | |
| 5. | Russell McKenna
|
| ETH Zürich |
Abstract
Electric vehicles (EV) play a crucial role in achieving decarbonization targets and with increasing adoption, their charging patterns will have increasing impact on energy systems. In this presentation, we present a transferable methodology to assess the influence of EV charging strategies on the design and operation of district-level energy systems in urban, suburban, and rural municipalities in Northern Germany. We use the energy systems optimization model RE3ASON to assess the cost-optimal trajectory until 2050 subject to environmental constraints. We extend the detailed case studies by incorporating EV behaviour to evaluate the impact of passive charging, smart charging, and vehicle-to-grid (V2G) strategies on the energy system. In a two-stage optimization, the travel times and distances are sampled from a comprehensive German data set, aggregated in a way that ensures that energy and power limits of each EV are respected, and then implemented in the main optimization stage. Battery degradation is linearly approximated, which is particularly relevant for V2G modelling and a novel aspect of this study. Hence, our methodology can assess the trade-offs between the additional flexibility that V2G provides and the resulting costs in terms of battery degradation. Our findings provide quantitative estimates for the additional benefits that various charging methods may have in terms of reducing cost, facilitating photovoltaic integration and reducing battery storage requirements.
Keywords
- OR in Energy
- Transportation
- Optimization Modeling
Status: accepted
Back to the list of papers