Abstract
The Radioisotope Power System Dose Estimation Tool (RPS-DET) is a software simulation application that serves as a one-stop shop for simulating and analyzing the radiation effects from radioisotope power systems (RPSs). RPS-DET includes a graphical user interface that allows the user to select from multiple RPS designs, place them in various terrestrial, planetary, or deep-space environments, and customize the plutonium oxide (PuO2) fuel. These user selections are combined into an input file that is automatically sent to the SCALE software suite, where simulation-specific neutron and gamma source terms are written prior to performing a Monte Carlo particle transport process on the chosen geometries. Simulation results represent three-dimensional instantaneous particle fluxes and dose rates or time-integrated particle fluences or doses according to pre-defined, customizable responses. The literature regarding RPS-DET addresses the early development and methodologies of this effort, while this paper outlines the official release of the software, instructions for ordering, final features, and current design.
| Original language | English |
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| Title of host publication | 2020 IEEE Aerospace Conference, AERO 2020 |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9781728127347 |
| DOIs | |
| State | Published - Mar 2020 |
| Event | 2020 IEEE Aerospace Conference, AERO 2020 - Big Sky, United States Duration: Mar 7 2020 → Mar 14 2020 |
Publication series
| Name | IEEE Aerospace Conference Proceedings |
|---|---|
| ISSN (Print) | 1095-323X |
Conference
| Conference | 2020 IEEE Aerospace Conference, AERO 2020 |
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| Country/Territory | United States |
| City | Big Sky |
| Period | 03/7/20 → 03/14/20 |
Funding
The authors would like to thank the NASA RPS Program Office for funding this project, specifically June Zakrajsek. Also, much appreciation goes to Paul Schmitz at NASA GRC, Steve Johnson and Kelly Lively at Idaho National Laboratory (INL), Elizabeth Bluhm at Los Alamos National Laboratory (LANL), and Steve Sherman, George Ulrich, and Bob Wham at Oak Ridge National Laboratory (ORNL) for their many technical contributions and insight. This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).