Presentation Master Theses BFH Energy storage research centre 2020
24.08.2020 Tools and methods that contribute to a safe and stable electric power supply or that help to optimize the life of batteries: On August 19, graduates of the Master of Science in Engineering presented their theses in the field of energy storage.
The master theses were written within the framework of the BFH Energy storage research centre. Here you can find the videos of the presentation and further information.
Load Profile Tool Energy Strategy 2005: Thiago Raitz Novais
The requirements for modern power grids are constantly changing due to the ongoing changes resulting from decentralized feed-in, storage and flexible consumers. These changes must be quantified in order to ensure an efficient planning in the distribution grid. In this thesis a load profile tool was developed. It generates future power profiles in the power grid based on the energy perspectives 2050. The prosumer profiles can be used for power flow calculations in the planning of distribution grids in order to ensure a high quality of electrical power supply in the future.
PQ-Index: Lukas Heiniger
In order to facilitate the monitoring and comparison of voltage quality in electrical grids, an index has been developed which combines all voltage quality parameters into a single representative and stable value. Based on two measurement campaigns, a regression model was developed which allows an extrapolation of the index to different grid nodes. This should help the distribution system operators to consider feedback effects from devices and installations in planning and operation and to prevent disturbances in the grid.
Designing a battery energy storage system for a commercial building: Yoann Moullet
Within the framework of a real implementation project, the degradation process of an electrochemical storage system was evaluated using different control strategies. Through this analysis, the optimal configuration of the battery could be identified in order to extend its service life while minimising the necessary investments.
Enhanced Physics-Based Models for State Estimation of Li-Ion Batteries: Daniel Luder
In today's EV batteries, the state of charge is usually estimated using equivalent circuit models. Unfortunately, they lack the representation of electrochemical states necessary for degradation minimization strategies. Enhanced physics-based battery models are introduced that are capable to simulate aging relevant properties. Based on a sensitivity analysis, the most crucial parameters of a commercial Li-ion cell are measured and optimized, resulting in an excellent cross-validation for realistic driving cycles.
Battery simulation with FEniCS: Marcel-David Zwahlen
Simulations are an important tool for the research and development of new battery designs. Several software packages for such calculations are available on the market, such as COMSOL's "Batteries & Fuel Cells Module". The vast majority of these packages are proprietary and licenses must be purchased to use them. In this thesis a tool for the simulation of batteries based on the freely available software package "FEniCS" was developed.