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Coupling of a Genetic Algorithm and a Thermoelectric Network Model for Radioisotope Thermoelectric Generator (RTG) Optimization

Kyrimis, Stylianos und Lallemand, Eliott und Stiewe, Christian und Ziolkowski, Pawel und Müller, Eckhard und de Boor, Johannes (2025) Coupling of a Genetic Algorithm and a Thermoelectric Network Model for Radioisotope Thermoelectric Generator (RTG) Optimization. In: European Conference on Thermoelectrics, ECT 2025. ECT 25 – 21st European Conference on Thermoelectrics, 2025-09-08 - 2025-09-12, Nancy, France. (nicht veröffentlicht)

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Kurzfassung

Lunar exploration requires a continuous supply of electrical power, independent of solar irradiation availability, which can be provided by radioisotope thermoelectric generators (RTG). RTG contain a radioisotope heating unit, enclosed in an aeroshell core and coupled with thermoelectric modules (TEM). TEM utilize the temperature difference developed between their hot side, adjacent to the RTG core, and their cold side, connected to radiation fins attached to the outer RTG surface, to convert part of the released heat into electricity through the Seebeck effect. Design and operation of RTG is a complex multi-disciplinary challenge, as they are comprised of multiple components that affect performance. The surfaces of the aeroshell not connected to TEM are covered by thermal insulation, driving most of the source heat through the TEM. Excessive insulation however, could undersibaly increase the system mass which should be minimized. The materials and geometry of the TEM affect the heat-to-electricity conversion efficiency as well as the temperature at its hot side which should not exceed the TEM’s safe operating temperature to prevent device failure. To address these challenges and optimize the RTG for lunar operation, we developed a multi-physics and multi-parametric thermoelectric (TE) network model, which represents the RTG as a series of thermal resistors and TE elements. By solving the heat transfer equation, the temperature difference on all resistors can be calculated, while the TE heat transfer equations on the TEM provide an estimate of the RTG’s performance. We then coupled this model with a Genetic Algorithm for rapid design invesigations to identify the RTG design which maximises the RTG’s specific power, i.e. electrical power output over system mass, while maintaining safe operating temperatures on the TEM. The optimized RTG design, which utilizes a Bi2Te3 TEM, achieves a specific power of 1.42 W/kg, with an electrical power of 13.9 W and a conversion efficiency of 6.9%. This is a significant improvement over the pre-defined specifications of the European Space Agency (ESA), i.e power of 10 W with a 5% conversion efficiency [1]. Our model can further adapt the RTG to incorporate TEM which can operate at higher temperatures, such as Skutterudites or Half-Heusler materials, thus allowing for higher performances.

elib-URL des Eintrags:https://elib.dlr.de/220698/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Coupling of a Genetic Algorithm and a Thermoelectric Network Model for Radioisotope Thermoelectric Generator (RTG) Optimization
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Kyrimis, StylianosStylianos.Kyrimis (at) dlr.dehttps://orcid.org/0000-0002-6195-9421NICHT SPEZIFIZIERT
Lallemand, EliottNICHT SPEZIFIZIERTNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Stiewe, ChristianChristian.Stiewe (at) dlr.dehttps://orcid.org/0000-0002-1895-9258NICHT SPEZIFIZIERT
Ziolkowski, PawelPawel.Ziolkowski (at) dlr.dehttps://orcid.org/0000-0003-1519-6803NICHT SPEZIFIZIERT
Müller, EckhardGerman aerospace center, Institute of materials research, Köln, Germany and Institute for inorganic and analytical chemistry, Justus-Liebig-Universität Gießen, Heinrich-Buff-Ring 58, 35392 Gießen, GermanyNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
de Boor, JohannesJohannes.deBoor (at) dlr.dehttps://orcid.org/0000-0002-1868-3167NICHT SPEZIFIZIERT
Datum:9 September 2025
Erschienen in:European Conference on Thermoelectrics, ECT 2025
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:nicht veröffentlicht
Stichwörter:Radioisotope Thermoelectric Generator (RTG), Thermoelectric Network Model, Genetic Algorithm (GA), Lunar exploration, Deep space exploration
Veranstaltungstitel:ECT 25 – 21st European Conference on Thermoelectrics
Veranstaltungsort:Nancy, France
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:8 September 2025
Veranstaltungsende:12 September 2025
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Technik für Raumfahrtsysteme
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R SY - Technik für Raumfahrtsysteme
DLR - Teilgebiet (Projekt, Vorhaben):R - Radiothermogeneratoren als autarke Stromquellen Mondbasis
Standort: Köln-Porz
Institute & Einrichtungen:Institut für Werkstoff-Forschung > Thermoelektrische Materialien und Systeme
Hinterlegt von: Kyrimis, Stylianos
Hinterlegt am:10 Dez 2025 11:53
Letzte Änderung:10 Dez 2025 11:53

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