Custom High-Performance-Computing Software Justification: Advanced Thermoelectric Prediction Model (ATPM)

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Custom high-performance-computing software is expensive and time consuming to develop and verify; therefore, expending the resources to develop such software needs to be rationalized. Predicting radioisotope thermoelectric generator (RTG) performance is such a case where the software development effort can be justified. Some of the demands of such a modeling tool are time and temperature dependent material properties, anisotropic materials, quasi-steady state analysis, thousands of components, multi-physics (thermal conduction, thermal radiation, electrical conduction, thermoelectric effect, sublimation, etc.), and variable dimensions. Each of the above will slow down the computation of a single simulation, combining that slow down with the need to perform multi-parameter non-linear optimization, Monte Carlo analysis, and parametric studies; thousands to millions of simulations are often required. Current commercial general-purpose modeling tools meet the RTG modeling demands, but run times are impractical and/or require expensive computational resources (cost prohibitive or scheduling prohibitive). This leads to the effort to design a custom modeling tool for RTG's. The financial costs, personnel costs, and performance are compared for a variety of modeling solutions including other custom options and commercial software. Benefits of configuration management options, verification options, validation options, and long-term support are discussed. Lastly, the versatility of the custom model versus the commercial solutions are compared.

Original languageEnglish (US)
Title of host publication2021 IEEE Aerospace Conference, AERO 2021
PublisherIEEE Computer Society
ISBN (Electronic)9781728174365
StatePublished - Mar 6 2021
Event2021 IEEE Aerospace Conference, AERO 2021 - Big Sky, United States
Duration: Mar 6 2021Mar 13 2021

Publication series

NameIEEE Aerospace Conference Proceedings
ISSN (Print)1095-323X


Conference2021 IEEE Aerospace Conference, AERO 2021
Country/TerritoryUnited States
CityBig Sky

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science


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