Speaker
Description
In this study, we are addressing the energy issues related to offshore technologies. Due to stringent emission and fuel efficiency standards, there has been a great deal of interest in energy conversion technologies. Among various energy conversion systems, thermoelectric generator (TEG) has garnered much attention because of its advantages, such as solid-state energy conversion, small and scalable system design, reliable performance, etc. Despite the above-mentioned merits, there are just a few studies dealing with computational methods for predicting TEG's system-level waste heat recovery performance. In this study, we present a computational model of TEG that can predict the system-level TEG performance within a 5% error compared to experimental results. We developed a new simulation framework that can take multi-physics phenomena, such as heat conduction, Seebeck and Joule heating effects, into account during the calculation to improve the model’s prediction accuracy.
| Conference Topic Areas | Track2: Advanced Computational Methods and Applications in Marine, Subsea and Offshore Technology |
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