Forschungsschwerpunkte: | Forschungsprojekte: |
sensor design | Autonomous Multi-Sensor Drifter |
electromagnetic design | |
maritime technology |
[168340] |
Title: Design and optimization of a wave energy converter for drifting sensor platforms in realistic ocean waves. |
Written by: Julius Harms and Marten Hollm and Leo Dostal and Thorsten A. Kern and Robert Seifried |
in: <em>Applied Energy</em>. (2022). |
Volume: <strong>321</strong>. Number: |
on pages: 119303 |
Chapter: |
Editor: |
Publisher: |
Series: |
Address: |
Edition: |
ISBN: |
how published: |
Organization: |
School: |
Institution: |
Type: |
DOI: https://doi.org/10.1016/j.apenergy.2022.119303 |
URL: https://www.sciencedirect.com/science/article/pii/S0306261922006572 |
ARXIVID: |
PMID: |
Note:
Abstract: One of the biggest challenges in converting wave energy is to enable the use of low frequency waves, since the highest waves in typical sea states have low frequencies, as can be seen from the corresponding wave spectra, such as the Pierson–Moskowitz or JONSWAP spectra. In this paper, we show that this challenge is indeed achievable for the operation of small autonomous drifting sensor platforms. We present the design and optimization of a compact wave energy converter that freely floats in random sea waves. An optimization of the dynamical behavior as well as the electromagnetic power take-off is conducted based on simulations and experiments. The platform has compact dimensions of 50 cm draft and 50 cm diameter, which leads to special requirements for size and appearance. To meet these requirements, a two-body self-reacting point absorber is designed and a flux switching permanent magnet linear machine is developed for the power take-off. The developed system is validated by experiments in a wave flume and the linear generator is analyzed on a test bench. A coupled model is used to simulate and optimize the corresponding mechanical system, which leads to an increased output power from below 10 mW for the simulated initial setup to a power output of more than 100 mW in the simulation. Simulations and experiments are performed for regular and random waves in order to provide realistic approximations of the total output power.
seit 02/2019 | Wissenschaftlicher Mitarbeiter, Technische Universität Hamburg, Institut für Mechatronik im Maschinenbau |
04/2018 - 09/2018 | Tutor für die Übung embedded systems, Technische Universität Hamburg |
10/2015 - 12/2018 | M. Sc. Student in Mechatronics, Technische Universität Hamburg, Spezialisierung in Intelligente Systeme und Robotics |
01/2018 - 04/2018 | Praktikum bei RH Marine Netherlands B.V. in Schiffsautomation und Simulation |
03/2017 - 12/2017 | Werkstudent bei Airbus Operations GmbH in controls & equipment ventilation |
10/2016 - 03/2017 | Werkstudent bei Airbus Operations GmbH in procurement of detail part |
10/2012 - 10/2015 | B. Sc. in Maschinenbau, Technische Universität Hamburg, Spezialisierung in Mechatronik |
04/2015 - 05/2016 | Werkstudent bei der Hamburger Hochbahn AG in der Instandhaltung und Wartung |