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Title: Non-algorithmic Capability Gaps for CYCLUS and CYCAMORE Transition Analyses

Abstract

As part of NEUP-FY16-10512, fuel cycle transition scenarios were simulated using CYCLUS and existing CYCAMORE archetypes. The purpose of this paper is to identify current non-algorithmic gaps in the capabilities necessary for key transition scenarios. The gaps identified through this exercise mainly pertain to the greedy exchange model, and the manual, static parameter of fuel cycle facilities. The scenarios are from the Idaho National Laboratory Nuclear Fuel Cycle Evaluation and Screening Report (Hereby E&S Report). The transition scenarios begin with EG01 and transition to EG23, EG24, EG29, EG30, separately.

Authors:
 [1];  [1]
  1. Univ. of Illinois, Urbana, IL (United States). Dept. of Nuclear, Plasma, and Radiological Engineering
Publication Date:
Research Org.:
Univ. of Illinois at Urbana-Champaign, IL (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation (NA-20); USDOE Office of Nuclear Energy (NE). Nuclear Energy University Program
OSTI Identifier:
1440900
Report Number(s):
DOE/NEUP-16-10512
DOE Contract Number:  
NA0002576
Resource Type:
Technical Report
Resource Relation:
Related Information: Advanced Reactors and Fuel Cycles Report Series, Nuclear Plasma and Radiological Engineering
Country of Publication:
United States
Language:
English
Subject:
22 GENERAL STUDIES OF NUCLEAR REACTORS

Citation Formats

Bae, Jin Whan, and Huff, Kathryn. Non-algorithmic Capability Gaps for CYCLUS and CYCAMORE Transition Analyses. United States: N. p., 2018. Web. doi:10.2172/1440900.
Bae, Jin Whan, & Huff, Kathryn. Non-algorithmic Capability Gaps for CYCLUS and CYCAMORE Transition Analyses. United States. doi:10.2172/1440900.
Bae, Jin Whan, and Huff, Kathryn. Mon . "Non-algorithmic Capability Gaps for CYCLUS and CYCAMORE Transition Analyses". United States. doi:10.2172/1440900.
@article{osti_1440900,
title = {Non-algorithmic Capability Gaps for CYCLUS and CYCAMORE Transition Analyses},
author = {Bae, Jin Whan and Huff, Kathryn},
abstractNote = {As part of NEUP-FY16-10512, fuel cycle transition scenarios were simulated using CYCLUS and existing CYCAMORE archetypes. The purpose of this paper is to identify current non-algorithmic gaps in the capabilities necessary for key transition scenarios. The gaps identified through this exercise mainly pertain to the greedy exchange model, and the manual, static parameter of fuel cycle facilities. The scenarios are from the Idaho National Laboratory Nuclear Fuel Cycle Evaluation and Screening Report (Hereby E&S Report). The transition scenarios begin with EG01 and transition to EG23, EG24, EG29, EG30, separately.},
doi = {10.2172/1440900},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {1}
}

Technical Report:
Other availability
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