scholarly journals COSI7: THE NEW CEA REFERENCE ELECTRO-NUCLEAR SIMULATION TOOL

2021 ◽  
Vol 247 ◽  
pp. 13001
Author(s):  
G. Krivtchik

Nuclear fuel cycle scenario studies are used as a prospective analysis tool in order to provide stakeholders with decision aid. Nuclear fuel cycle simulation tools model the deployment of reactor fleets, the mass flows in the fuel cycle, and track the nuclear materials. The CEA has been developing for more than 30 years the nuclear fuel cycle tool COSI. The latest version, COSI7, was designed in order to model dynamic systems of ever-increasing complexity with improved user experience. The new developments include functionalities designed to improve the user experience as well as new physical models and post-processing capabilities. COSI7 supersedes COSI6 as the CEA reference nuclear fuel cycle simulation code starting January 2020.

2017 ◽  
Vol 99 ◽  
pp. 471-483 ◽  
Author(s):  
Á. Brolly ◽  
M. Halász ◽  
M. Szieberth ◽  
L. Nagy ◽  
S. Fehér

2022 ◽  
Vol 8 ◽  
pp. 1
Author(s):  
Heddy Barale ◽  
Camille Laguerre ◽  
Paul Sabatini ◽  
Fanny Courtin ◽  
Kévin Tirel ◽  
...  

Scenario simulations are the main tool for studying the impact of a nuclear reactor fleet on the related fuel cycle facilities. This equilibrium preliminary study aims to present the functionalities of a new tool and to show the wide variety of reactors/cycles/strategies that can be studied in steady state conditions and validated with more details thanks to dynamic code. Different types of scenario simulation tools have been developed at CEA over the years, this study focuses on dynamic and equilibrium codes. Dynamic fuel cycle simulation code models the ingoing and outgoing material flow in all the facilities of a nuclear reactor fleet and their evolutions through the different nuclear processes over a given period of time. Equilibrium fuel cycle simulation code models advanced nuclear fuel cycles in equilibrium conditions, i.e. in conditions which stabilize selected nuclear inventories such as spent nuclear fuel constituents, plutonium or some minor actinides. The principle of this work is to analyze different nuclear reactors (PWR, AMR) and several fuel types (UOX, MOX, ERU, MIX) to simulate advanced nuclear fleet with partial and fully plutonium and uranium multi-recycling strategies at equilibrium. At this first stage, selected results are compared with COSI6 simulations in order to evaluate the precision of this new tool, showing a significant general agreement.


2017 ◽  
Author(s):  
Paul H. Wilson ◽  
Erich Schneider ◽  
Valerio Pascucci ◽  
Yarden Livnat ◽  
Robert Hiromoto ◽  
...  

2021 ◽  
Vol 7 ◽  
pp. 19
Author(s):  
Tomohiro Okamura ◽  
Ryota Katano ◽  
Akito Oizumi ◽  
Kenji Nishihara ◽  
Masahiko Nakase ◽  
...  

Nuclear Material Balance code version 4.0 (NMB4.0) has been developed through collaborative R&D between TokyoTech&JAEA. Conventional nuclear fuel cycle simulation codes mainly analyze actinides and are specialized for front-end mass balance analysis. However, quantitative back-end simulation has recently become necessary for considering R&D strategies and sustainable nuclear energy utilization. Therefore, NMB4.0 was developed to realize the integrated nuclear fuel cycle simulation from front- to back-end. There are three technical features in NMB4.0: 179 nuclides are tracked, more than any other code, throughout the nuclear fuel cycle; the Okamura explicit method is implemented, which contributes to reducing the numerical cost while maintaining the accuracy of depletion calculations on nuclides with a shorter half-life; and flexibility of back-end simulation is achieved. The main objective of this paper is to show the newly developed functions, made for integrated back-end simulation, and verify NMB4.0 through a benchmark study to show the computational performance.


2016 ◽  
Vol 94 ◽  
pp. 46-59 ◽  
Author(s):  
Kathryn D. Huff ◽  
Matthew J. Gidden ◽  
Robert W. Carlsen ◽  
Robert R. Flanagan ◽  
Meghan B. McGarry ◽  
...  

Author(s):  
J’Tia P. Taylor ◽  
David E. Shropshire ◽  
Jacob J. Jacobson

VISION (VerifIable fuel cycle SImulatiON) is the Advanced Fuel Cycle Initiative’s nuclear fuel cycle systems code designed to simulate the U.S. commercial reactor fleet. The code is a dynamic stock and flow model that tracks key material mass flows at the elemental and isotopic levels through the entire nuclear fuel cycle. VISION.ECON is a submodel of VISION that was developed to estimate the costs of electricity. The sub-model uses the mass flows generated by VISION for each of the fuel cycle functions and calculates costs based on the Department of Energy Advanced Fuel Cycle Cost Basis report. This paper provides an evaluation of the cost uncertainty effects attributable to fuel cycle system parameters and scheduling variations. A scenario utilizing a single light-water reactor (LWR) using uranium oxide fuel is examined to ascertain the effects of simple parameter changes. The four variable parameters are burnup, thermal efficiency, capacity factor, and reactor construction time. The effect variables are the total cost of electricity (TCOE) and the fuel cycle costs (FCC). Strategies for future analysis are also discussed. Future work consists of extending the analysis to more complex scenarios, including LWRs using mixed oxide fuel and fast recycling reactors using transuranic fuel.


2010 ◽  
Vol 172 (2) ◽  
pp. 157-178 ◽  
Author(s):  
Jacob J. Jacobson ◽  
A. M. Yacout ◽  
Gretchen E. Matthern ◽  
Steven J. Piet ◽  
David E. Shropshire ◽  
...  

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