Non-algorithmic Capability Gaps for CYCLUS and CYCAMORE Transition Analyses

Technical Report · Mon Jan 01 00:00:00 EST 2018

DOI:https://doi.org/10.2172/1440900· OSTI ID:1440900

Bae, Jin Whan ^[1]; Huff, Kathryn ^[1]

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1. Univ. of Illinois, Urbana, IL (United States). Dept. of Nuclear, Plasma, and Radiological Engineering

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.

• Research Organization: Univ. of Illinois at Urbana-Champaign, IL (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation; USDOE Office of Nuclear Energy (NE). Nuclear Energy University Program
• DOE Contract Number: NA0002576
• OSTI ID: 1440900
• Report Number(s): DOE/NEUP-16-10512
• Resource Relation: Related Information: Advanced Reactors and Fuel Cycles Report Series, Nuclear Plasma and Radiological Engineering
• Country of Publication: United States
• Language: English

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