Seyedali Sabzpoushan

Projects

Electret-based fluttering for wind energy harvesting with internal structure
Extracting a few microwatts to a few milliwatts power from ambient wind can drive self-sustained small-scale systems, such as off-grid sensor/actuator networks or lab-on-a-chip electronics.
Electret materials are the electrostatic counterparts of magnets. A charged electret has a permanent charge distribution at its surface or electric dipoles on the inside. When placed in the space between two sides of a capacitive structure, it can electrostatically charge the capacitor. This setup can be used to harvest energy, i.e. by connecting a resistive load to the capacitor: if the geometry of the capacitor alternates due to an external stimuli such as lift/drag force applied by wind stream, an alternating current flows in the electrical circuit through the load.
In this project within Research Areas A and C, the aim is to produce the desired power output at low and near-calm wind conditions. In this regard, I implement aerodynamic schemes to increase the harvester’s vibrational frequency.

First supervisor

Prof. Dr. Peter Woias

Publications in livMatS

• Modeling the Effects of a Protective Film for Spontaneously-Polarized Electrets on the Power Harvesting Performance of a Wind Energy Harvester*
  Sabzpoushan, S., & Woias, P. (2023). Modeling the Effects of a Protective Film for Spontaneously-Polarized Electrets on the Power Harvesting Performance of a Wind Energy Harvester. 2023 IEEE 22nd International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS) (pp. 143-146). doi: 10.1109/PowerMEMS59329.2023.10417553
• A Flapping Leaf Structure for Electret-Based Low-Speed Wind Energy Harvesting*
  Sabzpoushan, S. and Woias, P. (2022). A Flapping Leaf Structure for Electret-Based Low-Speed Wind Energy Harvesting. 2022 21st International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS), pp. 34-37. IEEE. doi: 10.1109/PowerMEMS56853.2022.10007559.
  
  
  * Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC-2193/1 – 390951807