DOE OSTI · 3002521
ORNL Design Engineering Library: Validated Thermoelectric Digital Twins
Abstract
Radioisotope thermoelectric generators (RTGs) serve a crucial role in supplying thermal and electrical energy for reliable and long-duration power in remote and extreme environments. The thermal energy is provided by the decay of radioisotopes and is converted into electrical energy using the steady-state thermoelectric process by exploiting the Seebeck effect. Maintaining a thermal gradient through the material is necessary to drive current production. Modern predictive multi-physics tools are able to effectively describe the complex and strongly coupled phenomena needed for accurate model-based system engineering efforts needed to develop higher performing RTGs. Experimental validation of model simulations is essential to confirm the accuracy, reliability, and applicability of predictive multiphysics tools. Validation fosters confidence among users, helps meet regulatory requirements, and contributes to the ongoing improvement of simulation techniques, ultimately leading to better, safer, and more efficient designs and processes. Validated models can then be used as digital twins and can be interrogated to understand and quantify the performance gaps between theoretical and physical systems. These insights can be used to build higher performing systems.
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Johnson, Brad [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0009000665362637), Goth, Nolan [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:000000031971572X), Parker, Trevor [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)], Orea, Daniel [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000225980557), Wang, Hsin [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0000000324269867), Bouteiller, Hugo [Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)] (ORCID:0009000421322962). 2025-04-01. ORNL Design Engineering Library: Validated Thermoelectric Digital Twins. https://doi.org/10.2172/3002521
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