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Title: Market-Based and System-Wide Fuel Cycle Optimization

Abstract

This work introduces automated optimization into fuel cycle simulations in the Cyclus platform. This includes system-level optimizations, seeking a deployment plan that optimizes the performance over the entire transition, and market-level optimization, seeking an optimal set of material trades at each time step. These concepts were introduced in a way that preserves the flexibility of the Cyclus fuel cycle framework, one of its most important design principles.

Authors:
 [1];  [2];  [1];  [1];  [1];  [2]
+ Show Author Affiliations
  1. Univ. of Wisconsin, Madison, WI (United States)
  2. Univ. of South Carolina, Columbia, SC (United States)
Publication Date:
Research Org.:
Univ. of Wisconsin, Madison, WI (United States)
Sponsoring Org.:
USDOE Office of Nuclear Energy (NE), Fuel Cycle Technologies (NE-5)
OSTI Identifier:
1363866
Report Number(s):
DOE-UW-0000673
TRN: US1702292
DOE Contract Number:
NE0000673
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; 97 MATHEMATICS AND COMPUTING; FUEL CYCLE; OPTIMIZATION; FUELS; MARKET; TRADE; nuclear fuel cycles; optimization; agent-based simulation

Citation Formats

Wilson, Paul Philip Hood, Scopatz, Anthony, Gidden, Matthew, Carlsen, Robert, Mouginot, Baptiste, and Flanagan, Robert. Market-Based and System-Wide Fuel Cycle Optimization. United States: N. p., 2017. Web. doi:10.2172/1363866.
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Wilson, Paul Philip Hood, Scopatz, Anthony, Gidden, Matthew, Carlsen, Robert, Mouginot, Baptiste, & Flanagan, Robert. Market-Based and System-Wide Fuel Cycle Optimization. United States. doi:10.2172/1363866.
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Wilson, Paul Philip Hood, Scopatz, Anthony, Gidden, Matthew, Carlsen, Robert, Mouginot, Baptiste, and Flanagan, Robert. Tue . "Market-Based and System-Wide Fuel Cycle Optimization". United States. doi:10.2172/1363866. https://www.osti.gov/servlets/purl/1363866.
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@article{osti_1363866,
title = {Market-Based and System-Wide Fuel Cycle Optimization},
author = {Wilson, Paul Philip Hood and Scopatz, Anthony and Gidden, Matthew and Carlsen, Robert and Mouginot, Baptiste and Flanagan, Robert},
abstractNote = {This work introduces automated optimization into fuel cycle simulations in the Cyclus platform. This includes system-level optimizations, seeking a deployment plan that optimizes the performance over the entire transition, and market-level optimization, seeking an optimal set of material trades at each time step. These concepts were introduced in a way that preserves the flexibility of the Cyclus fuel cycle framework, one of its most important design principles.},
doi = {10.2172/1363866},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jun 13 00:00:00 EDT 2017},
month = {Tue Jun 13 00:00:00 EDT 2017}
}
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Technical Report:
View Technical Report (0.51 MB)
DOI:  10.2172/1363866
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  • The DOE is currently directing extensive research into developing fuel cycle technologies that will enable the safe, secure, economic, and sustainable expansion of nuclear energy. The task is formidable considering the numerous fuel cycle options, the large dynamic systems that each represent, and the necessity to accurately predict their behavior. The path to successfully develop and implement an advanced fuel cycle is highly dependent on the modeling capabilities and simulation tools available for performing useful relevant analysis to assist stakeholders in decision making. Therefore a high-fidelity fuel cycle simulation tool that performs system analysis, including uncertainty quantification and optimization wasmore » developed. The resulting simulator also includes the capability to calculate environmental impact measures for individual components and the system. An integrated system method and analysis approach that provides consistent and comprehensive evaluations of advanced fuel cycles was developed. A general approach was utilized allowing for the system to be modified in order to provide analysis for other systems with similar attributes. By utilizing this approach, the framework for simulating many different fuel cycle options is provided. Two example fuel cycle configurations were developed to take advantage of used fuel recycling and transmutation capabilities in waste management scenarios leading to minimized waste inventories.« less

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