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bibliography.bib
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@misc{bachmann_mmr-like_2023,
title = {{MMR}-like {Serpent} {Model}},
url = {https://zenodo.org/record/8349385},
abstract = {A serpent model designed after the Ultra Safe Nuclear Corporation (USNC) Micro Modular Reactor (MMR) reactor design, based on publicly available information.},
urldate = {2023-09-19},
publisher = {Zenodo},
author = {Bachmann},
month = sep,
year = {2023},
doi = {10.5281/zenodo.8349385},
keywords = {Monte Carlo, Microreactor},
file = {Zenodo Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\GSCGL36K\\8349385.html:text/html},
}
@misc{bachmann_openmcyclus_2023,
title = {{OpenMCyclus} v0.1.0},
url = {https://zenodo.org/record/8349474},
abstract = {Third party archetype for Cyclus to model a reactor facility that is coupled with the stand-alone depletion solver in OpenMC to dynamically update fuel compositions.},
urldate = {2023-09-19},
publisher = {Zenodo},
author = {Bachmann, Amanda M. and Yardas, Olek and Munk, Madicken},
month = sep,
year = {2023},
doi = {10.5281/zenodo.8349474},
keywords = {depletion, nuclear fuel cycles},
file = {Zenodo Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\7XQU7XEE\\8349474.html:text/html},
}
@article{vermeeren_development_2021,
title = {Development of a {MOX} equivalence {Python} code package for {ANICCA}},
volume = {7},
issn = {2491-9292},
url = {https://www.epj-n.org/10.1051/epjn/2021023},
doi = {10.1051/epjn/2021023},
abstract = {The basis of the MOX (Mixed OXide) energy equivalence principle is keeping the in-core fuel management characteristics (cycle length, feed size, etc.) of a nuclear reactor unchanged when replacing UOX (Uranium OXide) fuel assemblies by MOX. If the effect of the loading pattern is neglected, such an equivalence is obtained by tuning the Pu content in the MOX fuel, while considering the specific Pu isotopic vector at the time of the core reload to obtain a crossing of the reactivity curves of UOX and MOX at the end-of-cycle core average burnup. It is proposed in this work to extend the fuel cycle analysis tool ANICCA (Advanced Nuclear Inventory Cycle Code) with a MOX equivalence Python code package, which automatically governs the supply and demand of Pu vector isotopes required to obtain MOX equivalence. This code package can determine the reactivity evolution for any given Pu vector by means of a multidimensional interpolation on a directive grid of pre-calculated data tables generated by WIMS10, covering the physically accessible Pu vector space. A fuel cycle scenario will be assessed for a representative evolution of the Pu vector inventory available in spent UOX fuel as a demonstration case, defining the interim fuel storage building dimensional requirements for different reprocessing strategies.},
urldate = {2023-09-13},
journal = {EPJ Nuclear Sciences \& Technologies},
author = {Vermeeren, Bart and Druenne, Hubert},
editor = {Courtin, Fanny and Alvarez-Velarde, Francisco and Moisy, Philippe and Tillard, Léa},
year = {2021},
pages = {25},
}
@techreport{arm_plan_2022,
title = {Plan for {Developing} {TRISO} {Fuel} {Processing} {Technologies}},
url = {https://www.osti.gov/biblio/1874375},
abstract = {This Plan demonstrates the availability of technologies for processing TRISO used nuclear fuel for waste management and actinide recovery purposes. These technologies are judged to be at a very low level of technology readiness and as such they constitute a fertile research area for the DOE-NE’s Office of Materials and Chemical Technologies. Strategies to mature the technologies to a point where they can reasonably be considered in engineering alternatives analyses typically involve laboratory-scale tests using fuel simulant to characterize process streams and demonstrate key engineering features. Several criteria are available to help selecting candidate technologies for further maturation},
language = {English},
number = {PNNL-32969},
urldate = {2023-09-12},
institution = {Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)},
author = {Arm, Stuart T. and Hall, Gabriel B. and Lumetta, Gregg J. and Wells, Beric E.},
month = jun,
year = {2022},
doi = {10.2172/1874375},
file = {Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\STQWPTBE\\Arm et al. - 2022 - Plan for Developing TRISO Fuel Processing Technolo.pdf:application/pdf},
}
@misc{noauthor_higher_2023,
title = {Higher {Burnup}},
url = {https://www.nrc.gov/reactors/power/atf/technologies/burnup.html},
language = {en-US},
urldate = {2023-09-08},
journal = {NRC Web},
month = jul,
year = {2023},
file = {Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\WGLF8K8D\\burnup.html:text/html},
}
@phdthesis{sumner_effects_2011,
title = {Effects of fuel type on the safety characteristics of a sodium-cooled fast reactor},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0306454911001010},
language = {en},
urldate = {2023-09-06},
school = {Georgia Institute of Technology},
author = {Sumner, Tyler},
month = jul,
year = {2011},
file = {Sumner and Ghiaasiaan - 2011 - Effects of fuel type on the safety characteristics.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\ZU9H6N64\\Sumner and Ghiaasiaan - 2011 - Effects of fuel type on the safety characteristics.pdf:application/pdf},
}
@misc{noauthor_standard_2021,
title = {Standard {Specification} for {Uranium} {Metal} {Enriched} to {Less} than 20\% {235U}},
url = {https://compass.astm.org/document/?contentCode=ASTM%7CC1462-21%7Cen-US&proxycl=https%3A%2F%2Fsecure.astm.org&fromLogin=true},
urldate = {2023-08-10},
month = nov,
year = {2021},
file = {compass:C\:\\Users\\abachmann\\Zotero\\storage\\C2IZE7XC\\document.html:text/html},
}
@misc{noauthor_standard_2020,
title = {Standard {Specification} for {Uranium} {Hexafluoride} {Enriched} to {Less} {Than} 5\% {235U}},
url = {https://compass.astm.org/document/?contentCode=ASTM%7CC0996-20%7Cen-US&proxycl=https%3A%2F%2Fsecure.astm.org&fromLogin=true},
urldate = {2023-08-10},
month = apr,
year = {2020},
file = {compass:C\:\\Users\\abachmann\\Zotero\\storage\\NBK6GHMC\\document.html:text/html},
}
@misc{noauthor_standard_2022,
title = {Standard {Specification} for {Sintered} {Uranium} {Dioxide} {Pellets} for {Light} {Water} {Reactors}},
url = {https://compass.astm.org/document/?contentCode=ASTM%7CC0776-17R22%7Cen-US&proxycl=https%3A%2F%2Fsecure.astm.org&fromLogin=true},
urldate = {2023-08-10},
month = jul,
year = {2022},
file = {compass:C\:\\Users\\abachmann\\Zotero\\storage\\YXQDE3NG\\document.html:text/html},
}
@misc{noauthor_standard_2021-1,
title = {Standard {Specification} for {Nuclear}-{Grade}, {Sinterable} {Uranium} {Dioxide} {Powder}},
url = {https://compass.astm.org/document/?contentCode=ASTM%7CC0753-16AR21%7Cen-US&proxycl=https%3A%2F%2Fsecure.astm.org&fromLogin=true},
urldate = {2023-08-10},
month = oct,
year = {2021},
file = {compass:C\:\\Users\\abachmann\\Zotero\\storage\\PLDZ92IP\\document.html:text/html},
}
@article{noauthor_nureg-1368_1994,
title = {{NUREG}-1368, "{Preapplication} {Safety} {Evaluation} {Report} for the {Power} {Reactor} {Innovative} {Small} {Module} ({PRISM}) {Liquid}-{Metal} {Reactor}."},
language = {en},
month = feb,
year = {1994},
file = {NUREG-1368, Preapplication Safety Evaluation Repo.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\8CC7V9HK\\NUREG-1368, Preapplication Safety Evaluation Repo.pdf:application/pdf},
}
@techreport{kim_pros_2023,
title = {Pros and {Cons} {Analysis} of {HALEU} {Utilization} in {Example} {Fuel} {Cycles}},
url = {https://fuelcycleoptions.inl.gov/SiteAssets/SitePages/Home/182926.pdf},
number = {ANL/NSE-22/21},
urldate = {2023-08-09},
author = {Kim, TK and Hoffman, E and Dixon, B and Cuadra, A},
month = jun,
year = {2023},
file = {182926.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\EAPRH5N6\\182926.pdf:application/pdf},
}
@article{fichtlscherer_assessing_2019,
title = {Assessing the {PRISM} reactor as a disposition option for the {British} plutonium stockpile},
volume = {27},
issn = {0892-9882},
url = {https://doi.org/10.1080/08929882.2019.1681736},
doi = {10.1080/08929882.2019.1681736},
abstract = {The United Kingdom considered using the PRISM sodium-cooled fast reactor as a disposition option for its civilian plutonium from reprocessed MAGNOX and Advanced Gas-cooled Reactor spent fuel. This article assesses the plutonium disposition capabilities of the PRISM reactor for the U.K. stockpile. The article first describes how the stockpile was created. It then provides a simulation of reactor burn-up, the resultant isotopic compositions of PRISM spent fuel are simulated and the dose rates of that fuel. Dose rates greater than 1 Sv/h at 1 meter from the fuel were assumed to establish “proliferation resistance” and would constitute a radiation barrier to proliferators. Results suggest that the U.K. stockpile could be irradiated to that proliferation resistance target in 31.3 years, using two 840 MWth PRISM cores operating at a 30 MWd/kgHM burnup rate. By the time all the U.K. plutonium has been irradiated, however a fraction of the PRISM spent fuel will have decayed below the proliferation resistance target. Thus, even though in 2019 PRISM was removed from consideration by the U.K. government because it is not expected to be available for that use for another 20 years, this paper concludes that should PRISM become available earlier it would still be a poor choice for plutonium disposition.},
number = {2-3},
urldate = {2023-08-02},
journal = {Science \& Global Security},
author = {Fichtlscherer, Christopher and Frieß, Friederike and Kütt, Moritz},
month = sep,
year = {2019},
note = {Publisher: Routledge
\_eprint: https://doi.org/10.1080/08929882.2019.1681736},
pages = {124--149},
file = {Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\7GDF3GWU\\Fichtlscherer et al. - 2019 - Assessing the PRISM reactor as a disposition optio.pdf:application/pdf},
}
@article{kuijper_htgr_2006,
title = {{HTGR} reactor physics and fuel cycle studies},
volume = {236},
issn = {00295493},
url = {https://linkinghub.elsevier.com/retrieve/pii/S0029549306000161},
doi = {10.1016/j.nucengdes.2005.10.021},
abstract = {The high-temperature gas-cooled reactor (HTGR) appears as a good candidate for the next generation of nuclear power plants. In the “HTR-N” project of the European Union Fifth Framework Program, analyses have been performed on a number of conceptual HTGR designs, derived from reference pebble-bed and hexagonal block-type HTGR types. It is shown that several HTGR concepts are quite promising as systems for the incineration of plutonium and possibly minor actinides.},
language = {en},
number = {5-6},
urldate = {2023-07-31},
journal = {Nuclear Engineering and Design},
author = {Kuijper, J.C. and Raepsaet, X. and De Haas, J.B.M. and Von Lensa, W. and Ohlig, U. and Ruetten, H.-J. and Brockmann, H. and Damian, F. and Dolci, F. and Bernnat, W. and Oppe, J. and Kloosterman, J.L. and Cerullo, N. and Lomonaco, G. and Negrini, A. and Magill, J. and Seiler, R.},
month = mar,
year = {2006},
pages = {615--634},
file = {Kuijper et al. - 2006 - HTGR reactor physics and fuel cycle studies.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\WKGPRQ7V\\Kuijper et al. - 2006 - HTGR reactor physics and fuel cycle studies.pdf:application/pdf},
}
@article{fukaya_proposal_2014,
title = {Proposal of a plutonium burner system based on {HTGR} with high proliferation resistance},
volume = {51},
issn = {0022-3131},
url = {https://doi.org/10.1080/00223131.2014.905803},
doi = {10.1080/00223131.2014.905803},
abstract = {An innovative plutonium burner concept based on high temperature gas cooled reactor (HTGR) technology, “Clean Burn”, is proposed by Japan Atomic Energy Agency (JAEA). That is expected to be as an effective and safe method to consume surplus plutonium accumulated in Japan. A similar concept proposed by General Atomics (GA), Deep Burn, cannot be introduced to Japan because of its adopting highly enriched plutonium, which shall infringe on a Japanese nuclear nonproliferation policy according to Japan–US reprocessing negotiation. The Clean Burn concept can avoid this problem by employing an inert matrix fuel (IMF) and a tightly coupled fuel reprocessing and fabrication plants. Both features make it impossible to extract plutonium alone out of the fabrication process and its outcomes. As a result, the Clean Burn can use surplus plutonium as a fuel without mixing it with uranium matrix. Thus, surplus plutonium alone will be incinerated effectively, while generation of plutonium from the uranium matrix is avoided. High neutronic performance, i.e., achievement of burn-up of about 500 GWd/t and consumption ratio of plutonium-239 reaching to about 95\%, is also assessed. Furthermore, reactivity defect caused by the inert matrix is found to be negligible. It is concluded that the Clean Burn concept is a useful option to incinerate plutonium with high proliferation resistance.},
number = {6},
urldate = {2023-07-31},
journal = {Journal of Nuclear Science and Technology},
author = {Fukaya, Yuji and Goto, Minoru and Ohashi, Hirofumi and Tachibana, Yukio and Kunitomi, Kazuhiko and Chiba, Satoshi},
month = jun,
year = {2014},
note = {Publisher: Taylor \& Francis
\_eprint: https://doi.org/10.1080/00223131.2014.905803},
keywords = {Clean Burn, Deep Burn, IMF, inert matrix fuel, plutonium burner reactor, proliferation resistance},
pages = {818--831},
file = {Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\96FEXGAC\\Fukaya et al. - 2014 - Proposal of a plutonium burner system based on HTG.pdf:application/pdf},
}
@misc{noauthor_modeling_nodate,
title = {Modeling a {Pin}-{Cell}},
url = {https://nbviewer.org/github/openmc-dev/openmc-notebooks/blob/main/pincell.ipynb},
urldate = {2023-07-20},
file = {Jupyter Notebook Viewer:C\:\\Users\\abachmann\\Zotero\\storage\\SDH9SUI9\\pincell.html:text/html},
}
@article{carbajo_review_2001,
title = {A review of the thermophysical properties of {MOX} and {UO2} fuels},
volume = {299},
issn = {0022-3115},
url = {https://www.sciencedirect.com/science/article/pii/S0022311501006924},
doi = {10.1016/S0022-3115(01)00692-4},
abstract = {A critical review of the thermophysical properties of UO2 and MOX fuels has been completed, and the best correlations for thermophysical properties have been selected. The properties reviewed are solidus and liquidus temperatures of the uranium/plutonium dioxide system (melting and solidification temperatures), thermal expansion and density, enthalpy and specific heat, enthalpy (or heat) of fusion, and thermal conductivity. Only fuel properties have been reviewed. The selected set of property correlations was compiled to be used in thermal-hydraulic codes to perform safety calculations.},
language = {en},
number = {3},
urldate = {2023-06-26},
journal = {Journal of Nuclear Materials},
author = {Carbajo, Juan J and Yoder, Gradyon L and Popov, Sergey G and Ivanov, Victor K},
month = dec,
year = {2001},
pages = {181--198},
file = {ScienceDirect Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\TA6BZTL4\\Carbajo et al. - 2001 - A review of the thermophysical properties of MOX a.pdf:application/pdf;ScienceDirect Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\Z3JCEKWS\\S0022311501006924.html:text/html},
}
@misc{bae_jbae11ann_pwr_2019,
title = {jbae11/ann\_pwr: {Zenodo} {Release}},
shorttitle = {jbae11/ann\_pwr},
url = {https://zenodo.org/record/3353745},
abstract = {Cyclus batch-wise reactor module using neural network depletion model},
urldate = {2023-06-22},
publisher = {Zenodo},
author = {Bae, Jin Whan},
month = jul,
year = {2019},
doi = {10.5281/zenodo.3353745},
file = {Zenodo Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\P5DUWA74\\3353745.html:text/html},
}
@article{leniau_neural_2015,
title = {A neural network approach for burn-up calculation and its application to the dynamic fuel cycle code {CLASS}},
volume = {81},
issn = {0306-4549},
url = {https://www.sciencedirect.com/science/article/pii/S0306454915001693},
doi = {10.1016/j.anucene.2015.03.035},
abstract = {Dynamic fuel cycle simulation tools calculate nuclei inventories and mass flows evolution in an entire fuel cycle, from the mine to the final disposal. Usually, the fuel depletion in reactor is handled by a fuel loading model and a mean cross section predictor. In the case of a PWR–MOX, a fuel loading model provides from a plutonium stock the plutonium fraction in the fresh fuel needed to reach a specific burnup. A mean cross section predictor aims to assess isotopic cross sections required for building Bateman equations for any fresh fuel composition with a sufficient accuracy and a reasonable computing time. This paper presents a methodology based on neural networks for building a fuel loading model and a cross section predictor for a PWR reactor loaded with MOX fuel. The mean error of the plutonium content prediction from the fuel loading model is 0.37\%. Furthermore, the mean cross section predictor allows completion of the fuel depletion calculation in less than one minute with excellent accuracy. A maximum deviation of 3\% on main nuclei is obtained at the end of cycle between inventories calculated from neural networks and from the reference coupled neutron transport/fuel depletion calculation.},
language = {en},
urldate = {2023-06-22},
journal = {Annals of Nuclear Energy},
author = {Leniau, Baptiste and Mouginot, Baptiste and Thiolliere, Nicolas and Doligez, Xavier and Bidaud, Adrien and Courtin, Fanny and Ernoult, Marc and David, Sylvain},
month = jul,
year = {2015},
keywords = {Cross section predictor, MOX, Neural network, Nuclear scenario, PWR},
pages = {125--133},
file = {ScienceDirect Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\F65WVPU9\\Leniau et al. - 2015 - A neural network approach for burn-up calculation .pdf:application/pdf},
}
@article{mulder_neutronics_2020,
title = {Neutronics characteristics of a 165 {MWth} {Xe}-100 reactor},
volume = {357},
issn = {0029-5493},
url = {https://www.sciencedirect.com/science/article/pii/S0029549319304467},
doi = {10.1016/j.nucengdes.2019.110415},
abstract = {The Xe-100 is a high temperature, helium-cooled, graphite moderated, pebble bed reactor (HTGR) featuring a 6-times through, multi-pass (MEDUL = MEhrfachDUrchLauf) fuelling scheme. It is designed for delivering heat in the form of superheated steam at 565 °C and 16.5 MPa. This steam can be used to generate electricity, provide process heat for petrochemical application, or for cogeneration applications, such as the treatment of contaminated water resources, whilst simultaneously generating electricity. The design is characterized as a Generation IV reactor, with a core that cannot melt and featuring safety characteristics that will eliminate the need at any time to evacuate or displace the public, or that will cause unallowable contamination of the land. The technology is based on proven technology that has demonstrated these safety claims both experimentally and in commercial deployment. The foundation of proof ensures high levels of design and technical readiness. In the overview presented below a parametric comparison is offered of a 165 MWth design against that of X-energy’s 200 MWth reference Xe-100 design. The excess reactivity in both cases is shown to be limited by the continuous fuelling regime, whilst the core geometry and selected core power density enables passive heat removal. In this way the desired intrinsic safety design features of a typical GEN IV design are guaranteed. It is shown that even in the event of a depressurized loss of forced coolant (DLOFC) design basis event, no significant amount of radiological material will be released. A larger margin of tolerance is afforded in the 165 MWth design case, as expected. The coupled core neutronic and thermo-fluid dynamics design for the Xe-100 is performed with the VSOP-A and MGT systems of codes. For the equilibrium core, VSOP results demonstrate that the spherical fuel powers (maximum 3.0 kW) and operational temperatures ({\textless}1000 °C) fall well within the envelope of the design criteria. Adequate reactivity control and long-term, cold shutdown are provided by two separate, independently actuated systems, while the overall negative reactivity temperature coefficient is illustrated over the total operational range.},
language = {en},
urldate = {2022-09-26},
journal = {Nuclear Engineering and Design},
author = {Mulder, E. J. and Boyes, W. A.},
month = feb,
year = {2020},
keywords = {TRISO, HTGR, MEDUL, MGT, Pebble bed reactor, VSOP-A, Xe-100},
pages = {110415},
file = {ScienceDirect Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\Z2LV7SCV\\Mulder and Boyes - 2020 - Neutronics characteristics of a 165 MWth Xe-100 re.pdf:application/pdf;ScienceDirect Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\CGHU4LEK\\S0029549319304467.html:text/html},
}
@article{schneider_nfcsim:_2005,
title = {{NFCSim}: {A} {Dynamic} {Fuel} {Burnup} and {Fuel} {Cycle} {Simulation} {Tool}},
volume = {151},
number = {1},
journal = {Nuclear Technology},
author = {Schneider, Erich A. and Bathke, Charles G. and James, Michael R.},
month = jul,
year = {2005},
keywords = {Fuel cycle, Reactivity Modeling, Simulation},
pages = {35--50},
file = {NT-151-1-35-Schneider, et al.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\FV66APMP\\NT-151-1-35-Schneider, et al.pdf:application/pdf},
}
@article{jacobson_vision_2007,
title = {{VISION} 2: {Enhanced} simulation model of the next generation nuclear fuel cycle},
volume = {96},
shorttitle = {{VISION} 2},
journal = {Transactions of the American Nuclear Society},
author = {JACOBSON, J. and YACOUT, A. and MATTHEM, G. and PIET, S. and SHROPSHIRE, D. and LAWS, C.},
year = {2007},
pages = {199--200},
file = {Google Scholar Linked Page:C\:\\Users\\abachmann\\Zotero\\storage\\QFHJVFQB\\cat.inist.fr.html:text/html},
}
@article{li_sensitivity_2010,
title = {The sensitivity of fuel cycle performance to separation efficiency},
volume = {240},
url = {http://www.sciencedirect.com/science/article/pii/S0029549309000843},
number = {3},
urldate = {2013-06-07},
journal = {Nuclear Engineering and Design},
author = {Li, Jun and Scopatz, Anthony and Yim, Man-Sung and Schneider, Erich},
year = {2010},
pages = {511--523},
file = {Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\X9SNBIFU\\S0029549309000843.html:text/html},
}
@article{kim_development_2013,
title = {Development and {Validation} of a {Nuclear} {Fuel} {Cycle} {Analysis} {Tool}: a {FUTURE} {Code}},
volume = {45},
url = {http://www.sciencedirect.com/science/article/pii/S1738573315300516},
abstract = {This paper presents the development and validation methods of the FUTURE (FUel cycle analysis Tool for nUcleaR Energy) code, which was developed for a dynamic material flow evaluation and economic analysis of the nuclear fuel cycle. This code enables an evaluation of a nuclear material flow and its economy for diverse nuclear fuel cycles based on a predictable scenario. The most notable virtue of this FUTURE code, which was developed using C\# and MICROSOFT SQL DBMS, is that a program user can design a nuclear fuel cycle process easily using a standard process on the canvas screen through a drag-and-drop method. From the user’s point of view, this code is very easy to use thanks to its high flexibility. In addition, the new code also enables the maintenance of data integrity by constructing a database environment of the results of the nuclear fuel cycle analyses.},
number = {5},
journal = {Nuclear Engineering and Technology},
author = {Kim, S.K. and Ko, W.I. and Lee, Y.H.},
month = oct,
year = {2013},
pages = {665--674},
file = {1-s2.0-S1738573315300516-main.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\VRE9BNCU\\1-s2.0-S1738573315300516-main.pdf:application/pdf},
}
@article{mouginot_class_2012,
title = {{CLASS}, a new tool for nuclear scenarios: {Description} \& {First} {Application}},
volume = {6},
shorttitle = {{CLASS}, a new tool for nuclear scenarios},
url = {http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.222.5389&rep=rep1&type=pdf},
number = {3},
urldate = {2017-05-30},
journal = {World Academy of Science, Engineering and Technology, International Journal of Mathematical, Computational, Physical, Electrical and Computer Engineering},
author = {Mouginot, B. and Clavel, J. B. and Thiolliere, N.},
year = {2012},
pages = {232--235},
file = {[PDF] psu.edu:C\:\\Users\\abachmann\\Zotero\\storage\\ZKJEBPFZ\\Mouginot et al. - 2012 - CLASS, a new tool for nuclear scenarios Descripti.pdf:application/pdf},
}
@article{wilson_comparing_2011,
title = {Comparing {Nuclear} {Fuel} {Cycle} {Options}},
url = {http://brc.gov/sites/default/files/documents/wilson.fuel_.cycle_.comparisons_final.pdf},
journal = {A report for the Reactor \& Fuel Cycle Technology Subcommittee of the Blue Ribbon Commission on America's Nuclear Future},
author = {Wilson, Paul P. H.},
month = mar,
year = {2011},
}
@inproceedings{durpel_daness_2003,
address = {New Orleans, LA, United States},
title = {Daness dynamic analysis of nuclear system strategies},
isbn = {0-89448-677-2},
abstract = {The dynamic analysis of multiple development paths for nuclear energy systems has gained interest worldwide. Especially in the light of the different roadmap exercises that have been undertaken in the past years indicating the need for symbiotic nuclear energy systems in the longer term. The symbiosis between different nuclear reactor types and their associated fuel cycle should fulfill competing objectives for such systems, i.e. economics, environmental friendliness, resource longevity, waste management, and non-proliferation. A new code, dubbed DANESS, has been developed which allows performing such dynamic analysis of nuclear energy systems composed of multiple reactors and fuel cycle options including cross-flow of fissile material between the different components of the system. Today, the code allows mass-flow analysis and economics and is currently being extended to include life-cycle analysis data, non-proliferation metrics and non-nuclear energy sources. This paper will describe the main features of this code and will indicate the possible uses and future developments.},
booktitle = {Global 2003: {Atoms} for {Prosperity}: {Updating} {Eisenhouwer}'s {Global} {Vision} for {Nuclear} {Energy}},
publisher = {American Nuclear Society},
author = {Durpel, L. Van Den and Yacout, A. and Wade, D. and Khalil, H.},
month = nov,
year = {2003},
note = {Compilation and indexing terms, Copyright 2006 Elsevier Inc. All rights reserved; T3: Global 2003: Atoms for Prosperity: Updating Eisenhouwer's Global Vision for Nuclear Energy},
keywords = {Fuels, Management, Energy, Technology, Light Water Reactors (LWR), Development, Environmental Impact, Reduction, nuclear, Data, Fast, Research, Transfer, Waste},
pages = {1613--1620},
file = {1613.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\Q854B4VR\\1613.pdf:application/pdf},
}
@article{jacobson_vision:_2006,
title = {{VISION}: {Verifiable} fuel cycle simulation model},
volume = {95},
shorttitle = {{VISION}},
url = {http://www.inl.gov/technicalpublications/Documents/4215160.pdf},
journal = {TRANSACTIONS-AMERICAN NUCLEAR SOCIETY},
author = {Jacobson, J. and Yacout, A. M and Matthern, G. and Piet, S. and Shropshire, D. E and Laws, C.},
year = {2006},
pages = {157},
file = {Google Scholar Linked Page:C\:\\Users\\abachmann\\Zotero\\storage\\G6SVH5CF\\Jacobson et al. - 2006 - VISION Verifiable fuel cycle simulation model.pdf:application/pdf},
}
@article{piet_which_2007,
title = {Which {Elements} {Should} {Be} {Recycled} for a {Comprehensive} {Fuel} {Cycle}?},
volume = {1595},
journal = {Proc. Global 2007},
author = {Piet, S. and Bjornard, T. and Dixon, B. and Gombert, D. and Laws, C. and Matthern, G.},
year = {2007},
file = {Google Scholar Linked Page:C\:\\Users\\abachmann\\Zotero\\storage\\SGB34CGP\\Piet et al. - 2007 - Which Elements Should Be Recycled for a Comprehens.pdf:application/pdf},
}
@article{yue_fuel_2018,
title = {Fuel cycles optimization of nuclear power industry in {China}},
volume = {111},
issn = {0306-4549},
url = {http://www.sciencedirect.com/science/article/pii/S0306454917303262},
doi = {10.1016/j.anucene.2017.09.049},
abstract = {With the rapid rise of installed nuclear power in China, meeting the increasing demands on natural uranium and rationally treating the vast spent fuel are essential issues for the sustainable development of Chinese nuclear power industry. This paper discusses four most potential nuclear fuel cycle modes in China and analyzes the natural uranium requirements under these different fuel cycle modes first based on three development patterns (low-, medium-, and high-speed) of installed nuclear power capacity. Then, an optimization model including natural uranium requirements, spent fuel final disposal amounts and total cost of electricity generation is constructed and optimization problem under two scenarios of reprocessing capacity are solved and results discussed. The annual and cumulative natural uranium requirements under these two scenarios are also calculated. Finally some conclusions are put forward based on the analyses.},
number = {Supplement C},
urldate = {2017-12-11},
journal = {Annals of Nuclear Energy},
author = {Yue, Qiang and He, Jingke and Zhi, Shengke and Dong, Hui},
month = jan,
year = {2018},
keywords = {Spent fuel, Fuel cycle, Optimization, Cost, Natural uranium, Nuclear power industry},
pages = {635--643},
file = {ScienceDirect Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\VA9H45SL\\Yue et al. - 2018 - Fuel cycles optimization of nuclear power industry.pdf:application/pdf;ScienceDirect Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\F9KQTVXF\\S0306454917303262.html:text/html},
}
@inproceedings{yacout_vision_2006,
title = {{VISION} -- {Verifiable} {Fuel} {Cycle} {Simulation} of {Nuclear} {Fuel} {Cycle} {Dynamics}},
url = {http://www.inl.gov/technicalpublications/Documents/3394908.pdf},
booktitle = {Waste {Management} {Symposium}},
author = {Yacout, A. M. and Jacobson, J. J. and Matthern, G. E. and Piet, S. J. and Shropshire, D. E. and Laws, C.},
year = {2006},
file = {Google Scholar Linked Page:C\:\\Users\\abachmann\\Zotero\\storage\\P3TPNT3H\\Yacout et al. - 2006 - VISION–Verifiable Fuel Cycle Simulation of Nuclear.pdf:application/pdf},
}
@article{freynet_multiobjective_2016,
title = {Multiobjective optimization for nuclear fleet evolution scenarios using {COSI}},
volume = {2},
url = {http://epjn.epj.org/articles/epjn/abs/2016/01/epjn150066/epjn150066.html},
urldate = {2017-02-17},
journal = {EPJ Nuclear Sciences \& Technologies},
author = {Freynet, David and Coquelet-Pascal, Christine and Eschbach, Romain and Krivtchik, Guillaume and Merle-Lucotte, Elsa},
year = {2016},
pages = {9},
file = {[HTML] epj-n.org:C\:\\Users\\abachmann\\Zotero\\storage\\AVP329PE\\epjn150066.html:text/html;[HTML] epj-n.org:C\:\\Users\\abachmann\\Zotero\\storage\\ZHNXV2WH\\epjn150066.html:text/html;epjn150066.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\HA6HH8VJ\\epjn150066.pdf:application/pdf;Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\HIBGZJTC\\epjn150066.html:text/html;Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\8URTHTBQ\\epjn150066.html:text/html},
}
@techreport{peterson_used_2013,
title = {Used {Nuclear} {Fuel} {Storage} {Transportation} \& {Disposal} {Analysis} {Resource} and {Data} {System} ({UNF}-{ST}\&{DARDS})},
institution = {FCRD-NFST-2013-000117 Rev. 0, US Department of Energy Nuclear Fuels Storage and Transportation Planning Project},
author = {Peterson, J. and Lefebvre, R. and Smith, H. and Ilas, D. and Robb, K. and Michener, T. and Adkins, H. and Scaglione, J.},
year = {2013},
}
@article{kim_selection_1999,
title = {Selection of an optimal nuclear fuel cycle scenario by goal programming and the analytic hierarchy process},
volume = {26},
issn = {0306-4549},
url = {http://www.sciencedirect.com/science/article/pii/S0306454998000814},
doi = {10.1016/S0306-4549(98)00081-4},
abstract = {The front-end fuel cycle from mining to enrichment has reached maturity. Unlike the front-end fuel cycle, there are several pathways in the back-end fuel cycle. The long-term consequences of any decision for the back-end fuel cycle requires some sophisticated decision making tools. Various kinds of factors should be taken into consideration for the decision. In this study the Goal Programming Method in combination with the Analytic Hierarchy Process (AHP) is applied in the decision making process. For the treatment of tangible factors Goal Programming is used and for intangible factors AHP is used for quantification. A computer code was developed to combine both methods in the treatment of two different kinds of factors and to obtain a solution for the most optimal fuel cycle in Korea.},
number = {5},
urldate = {2017-10-15},
journal = {Annals of Nuclear Energy},
author = {Kim, Poong Oh and Lee, Kun Jai and Lee, Byong Whi},
month = mar,
year = {1999},
pages = {449--460},
file = {ScienceDirect Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\SA6P2782\\Kim et al. - 1999 - Selection of an optimal nuclear fuel cycle scenari.pdf:application/pdf;ScienceDirect Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\BFI8GQB5\\Kim et al. - 1999 - Selection of an optimal nuclear fuel cycle scenari.pdf:application/pdf;ScienceDirect Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\JS36TCCQ\\S0306454998000814.html:text/html;ScienceDirect Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\DE6792DP\\S0306454998000814.html:text/html},
}
@article{brinton_nuclear_2013,
title = {A nuclear fuel cycle system dynamic model for spent fuel storage options},
issn = {0196-8904},
url = {http://www.sciencedirect.com/science/article/pii/S0196890413001854},
doi = {10.1016/j.enconman.2013.03.041},
abstract = {Abstract
The options for used nuclear fuel storage location and affected parameters such as economic liabilities are currently a focus of several high level studies. A variety of nuclear fuel cycle system analysis models are available for such a task. The application of nuclear fuel cycle system dynamics models for waste management options is important to life-cycle impact assessment.
The recommendations of the Blue Ribbon Committee on America’s Nuclear Future led to increased focus on long periods of spent fuel storage [1]. This motivated further investigation of the location dependency of used nuclear fuel in the parameters of economics, environmental impact, and proliferation risk.
Through a review of available literature and interactions with each of the programs available, comparisons of post-reactor fuel storage and handling options will be evaluated based on the aforementioned parameters and a consensus of preferred system metrics and boundary conditions will be provided. Specifically, three options of local, regional, and national storage were studied. The preliminary product of this research is the creation of a system dynamics tool known as the Waste Management Module (WMM) which provides an easy to use interface for education on fuel cycle waste management economic impacts. Initial results of baseline cases point to positive benefits of regional storage locations with local regional storage options continuing to offer the lowest cost.},
urldate = {2013-05-28},
journal = {Energy Conversion and Management},
author = {Brinton, Samuel and Kazimi, Mujid},
year = {2013},
keywords = {Used nuclear fuel, Waste management, Systems analysis},
file = {ScienceDirect Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\3WAQG7MG\\Brinton and Kazimi - A nuclear fuel cycle system dynamic model for spen.pdf:application/pdf;ScienceDirect Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\97DF2IC2\\S0196890413001854.html:text/html;ScienceDirect Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\NZHA4E53\\Brinton and Kazimi - A nuclear fuel cycle system dynamic model for spen.html:text/html},
}
@article{worrall_utilization_2013,
title = {Utilization of used nuclear fuel in a potential future {US} fuel cycle scenario},
journal = {WM2013, Phoenix, AZ},
author = {Worrall, Andrew},
year = {2013},
file = {Fulltext:C\:\\Users\\abachmann\\Zotero\\storage\\FUQ7LMIK\\Worrall - 2013 - Utilization of used nuclear fuel in a potential fu.pdf:application/pdf;Pub40177.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\RZQWHNCY\\Pub40177.pdf:application/pdf;Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\J9BHZM8B\\Worrall - 2013 - Utilization of used nuclear fuel in a potential fu.pdf:application/pdf},
}
@article{andrianov_optimization_2019,
title = {Optimization models of a two-component nuclear energy system with thermal and fast reactors in a closed nuclear fuel cycle},
volume = {5(1)},
copyright = {2019Andrey A. Andrianov, Ilya S. Kuptsov, Tatyana A. Osipova, Olga N. Andrianova, Tatyana V. Utyanskaya},
issn = {2452-3038},
url = {https://nucet.pensoft.net/article/33981/},
doi = {10.3897/nucet.5.33981},
abstract = {The article presents a description and some illustrative results of the application of two optimization models for a two-component nuclear energy system consisting of thermal and fast reactors in a closed nuclear fuel cycle. These models correspond to two possible options of developing Russian nuclear energy system, which are discussed in the expert community: (1) thermal and fast reactors utilizing uranium and mixed oxide fuel, (2) thermal reactors utilizing uranium oxide fuel and fast reactors utilizing mixed nitride uranium-plutonium fuel. The optimization models elaborated using the IAEA MESSAGE energy planning tool make it possible not only to optimize the nuclear energy system structure according to the economic criterion, taking into account resource and infrastructural constraints, but also to be used as a basis for developing multi-objective, stochastic and robust optimization models of a two-component nuclear energy system. These models were elaborated in full compliance with the recommendations of the IAEA’s PESS and INPRO sections, regarding the specification of nuclear energy systems in MESSAGE. The study is based on publications of experts from NRC “Kurchatov Institute”, JSC “SSC RF-IPPE”, ITCP “Proryv”, JSC “NIKIET”. The presented results demonstrate the characteristic structural features of a two-component nuclear energy system for conservative assumptions in order to illustrate the capabilities of the developed optimization models. Consideration is also given to the economic feasibility of a technologically diversified nuclear energy structure providing the possibility of forming on its base a robust system in the future. It has been demonstrated that given the current uncertainties in the costs of nuclear fuel cycle services and reactor technologies, it is impossible at the moment to make a reasonable conclusion regarding the greatest attractiveness of a particular option in terms of the economic performance.},
language = {en},
urldate = {2019-03-26},
journal = {Nuclear Energy and Technology},
author = {Andrianov, Andrey A. and Kuptsov, Ilya S. and Osipova, Tatyana A. and Andrianova, Olga N. and Utyanskaya, Tatyana V.},
month = mar,
year = {2019},
pages = {39--45},
file = {Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\WWTLB57J\\WWTLB57J.pdf:application/pdf;Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\AQ32RZAI\\articles.html:text/html},
}
@article{romano_openmc:_2015,
series = {Joint {International} {Conference} on {Supercomputing} in {Nuclear} {Applications} and {Monte} {Carlo} 2013, {SNA} + {MC} 2013. {Pluri}- and {Trans}-disciplinarity, {Towards} {New} {Modeling} and {Numerical} {Simulation} {Paradigms}},
title = {{OpenMC}: {A} state-of-the-art {Monte} {Carlo} code for research and development},
volume = {82},
issn = {0306-4549},
shorttitle = {{OpenMC}},
url = {http://www.sciencedirect.com/science/article/pii/S030645491400379X},
doi = {10.1016/j.anucene.2014.07.048},
abstract = {This paper gives an overview of OpenMC, an open source Monte Carlo particle transport code recently developed at the Massachusetts Institute of Technology. OpenMC uses continuous-energy cross sections and a constructive solid geometry representation, enabling high-fidelity modeling of nuclear reactors and other systems. Modern, portable input/output file formats are used in OpenMC: XML for input, and HDF5 for output. High performance parallel algorithms in OpenMC have demonstrated near-linear scaling to over 100,000 processors on modern supercomputers. Other topics discussed in this paper include plotting, CMFD acceleration, variance reduction, eigenvalue calculations, and software development processes.},
number = {Supplement C},
urldate = {2017-11-22},
journal = {Annals of Nuclear Energy},
author = {Romano, Paul K. and Horelik, Nicholas E. and Herman, Bryan R. and Nelson, Adam G. and Forget, Benoit and Smith, Kord},
month = aug,
year = {2015},
keywords = {HDF5, Monte Carlo, Neutron transport, OpenMC, Parallel, XML},
pages = {90--97},
file = {ScienceDirect Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\9S36DPTN\\Romano et al. - 2015 - OpenMC A state-of-the-art Monte Carlo code for re.pdf:application/pdf;ScienceDirect Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\IW54R5QX\\Romano et al. - 2015 - OpenMC A state-of-the-art Monte Carlo code for re.pdf:application/pdf;ScienceDirect Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\NZ4279HS\\S030645491400379X.html:text/html;ScienceDirect Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\ALT6V9G9\\S030645491400379X.html:text/html},
}
@article{coquelet-pascal_cosi6:_2015,
title = {{COSI6}: {A} {Tool} for {Nuclear} {Transition} {Scenario} {Studies} and {Application} to {SFR} {Deployment} {Scenarios} with {Minor} {Actinide} {Transmutation}},
volume = {192},
issn = {0029-5450, 1943-7471},
shorttitle = {{COSI6}},
url = {https://www.tandfonline.com/doi/full/10.13182/NT15-20},
doi = {10.13182/NT15-20},
language = {en},
number = {2},
urldate = {2019-07-07},
journal = {Nuclear Technology},
author = {Coquelet-Pascal, C. and Tiphine, M. and Krivtchik, G. and Freynet, D. and Cany, C. and Eschbach, R. and Chabert, C.},
month = nov,
year = {2015},
pages = {91--110},
file = {Coquelet-Pascal et al. - 2015 - COSI6 A Tool for Nuclear Transition Scenario Stud.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\64YP6ZEL\\Coquelet-Pascal et al. - 2015 - COSI6 A Tool for Nuclear Transition Scenario Stud.pdf:application/pdf;Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\6ICA6XUV\\a_37671.html:text/html},
}
@techreport{amir_afzali_high_2018,
title = {High {Temperature}, {Gas}-{Cooled} {Pebble} {Bed} {Reactor} licensing {Modernization} {Project} {Demonstration}},
url = {https://www.nrc.gov/docs/ML1822/ML18228A779.pdf},
number = {SC-29980-200 Rev 0},
urldate = {2019-10-10},
institution = {Southern Company},
author = {{Amir Afzali}},
month = aug,
year = {2018},
note = {U.S. Department of Energy (DOE)
Office of Nuclear Energy
Under DOE Idaho Operations Office
Contract DE-AC07-0SID14517},
file = {ML18228A779.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\UUQZ8CCP\\ML18228A779.pdf:application/pdf},
}
@article{leppanen_serpent_2013,
title = {Serpent -- a {Continuous}-energy {Monte} {Carlo} {Reactor} {Physics} {Burnup} {Calculation} {Code}},
volume = {4},
urldate = {2013-05-30},
journal = {VTT Technical Research Centre of Finland, Espoo, Finland},
author = {Leppanen, Jaakko},
year = {2013},
file = {[PDF] from vtt.fi:C\:\\Users\\abachmann\\Zotero\\storage\\4XX8BJFI\\Leppänen - 2012 - Serpent–a Continuous-energy Monte Carlo Reactor Ph.pdf:application/pdf;Fulltext:C\:\\Users\\abachmann\\Zotero\\storage\\4PZH3QLK\\Leppänen - 2013 - Serpent–a continuous-energy Monte Carlo reactor ph.pdf:application/pdf;Fulltext:C\:\\Users\\abachmann\\Zotero\\storage\\EERPAHXD\\Leppänen - 2013 - Serpent–a continuous-energy Monte Carlo reactor ph.pdf:application/pdf;Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\JRNZXHIQ\\Leppänen - 2013 - Serpent–a continuous-energy Monte Carlo reactor ph.pdf:application/pdf},
}
@techreport{schneider_integrated_2016,
title = {An {Integrated} {Fuel} {Depletion} {Calculator} for {Fuel} {Cycle} {Options} {Analysis}},
url = {http://www.osti.gov/servlets/purl/1258475/},
language = {en},
number = {12-4065, 1258475},
urldate = {2019-12-03},
institution = {battelle Energy Alliance, LLC},
author = {Schneider, Erich and Scopatz, Anthony},
month = apr,
year = {2016},
doi = {10.2172/1258475},
pages = {12--4065, 1258475},
file = {[PDF] inl.gov:C\:\\Users\\abachmann\\Zotero\\storage\\7F44GAQ6\\Schneider and Scopatz - 2016 - An Integrated Fuel Depletion Calculator for Fuel C.pdf:application/pdf;Schneider and Scopatz - 2016 - An Integrated Fuel Depletion Calculator for Fuel C.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\T8ZXE4A9\\Schneider and Scopatz - 2016 - An Integrated Fuel Depletion Calculator for Fuel C.pdf:application/pdf},
}
@article{triplett_prism:_2012,
title = {{PRISM}: {A} {Competitive} {Small} {Modular} {Sodium}-{Cooled} {Reactor}},
volume = {178},
issn = {0029-5450, 1943-7471},
shorttitle = {{PRISM}},
url = {https://www.tandfonline.com/doi/full/10.13182/NT178-186},
doi = {10.13182/NT178-186},
language = {en},
number = {2},
urldate = {2020-02-13},
journal = {Nuclear Technology},
author = {Triplett, Brian S. and Loewen, Eric P. and Dooies, Brett J.},
month = may,
year = {2012},
pages = {186--200},
file = {Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\LLYAIAFM\\NT178-186.html:text/html;Triplett et al. - 2012 - PRISM A Competitive Small Modular Sodium-Cooled R.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\Y6VKI4HH\\Triplett et al. - 2012 - PRISM A Competitive Small Modular Sodium-Cooled R.pdf:application/pdf},
}
@article{bae_deep_2020,
title = {Deep learning approach to nuclear fuel transmutation in a fuel cycle simulator},
volume = {139},
issn = {0306-4549},
url = {http://www.sciencedirect.com/science/article/pii/S0306454919307406},
doi = {10.1016/j.anucene.2019.107230},
abstract = {We trained a neural network model to predict Pressurized Water Reactor (PWR) Used Nuclear Fuel (UNF) composition given initial enrichment and burnup. This quick, flexible, medium-fidelity method to estimate depleted PWR fuel assembly compositions is used to model scenarios in which the PWR fuel burnup and enrichment vary over time. The Used Nuclear Fuel Storage, Transportation \& Disposal Analysis Resource and Data System (UNF-ST\&DARDS) Unified Database (UDB) provided a ground truth on which the model trained. We validated the model by comparing the U.S. UNF inventory profile predicted by the model with the UDB UNF inventory profile. The neural network yields less than 1\% error for UNF inventory decay heat and activity and less than 2\% error for major isotopic inventory. The neural network model takes 0.27 s for 100 predictions, compared to 118 s for 100 Oak Ridge Isotope GENeration (ORIGEN) calculations. We also implemented this model into Cyclus, an agent-based Nuclear Fuel Cycle (NFC) simulator, to perform rapid, medium-fidelity PWR depletion calculations. This model also allows discharge of batches with assemblies of varying burnup. Since the original private data cannot be retrieved from the model, this trained model can provide open-source depletion capabilities to NFC simulators. We show that training an artificial neural network with a dataset from a complex fuel depletion model can provide rapid, medium-fidelity depletion capabilities to large-scale fuel cycle simulations.},
language = {en},
urldate = {2020-01-07},
journal = {Annals of Nuclear Energy},
author = {Bae, Jin Whan and Rykhlevskii, Andrei and Chee, Gwendolyn and Huff, Kathryn D.},
month = may,
year = {2020},
keywords = {agent based modeling, Artificial neural network, Depletion, Finite elements, Hydrologic contaminant transport, Machine learning, Molten salt breeder reactor, Molten salt reactor, MOOSE, Multiphysics, nuclear engineering, Nuclear fuel cycle, Object orientation, Online reprocessing, Parallel computing, Python, Reactor physics, repository, Salt treatment, Simulation, Spent nuclear fuel, Systems analysis},
pages = {107230},
file = {Bae et al. - 2020 - Deep learning approach to nuclear fuel transmutati.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\63AWUGKG\\63AWUGKG.pdf:application/pdf;ScienceDirect Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\U7IJI82D\\S0306454919307406.html:text/html},
}
@book{deb_multi-objective_2001,
title = {Multi-objective optimization using evolutionary algorithms},
volume = {16},
isbn = {0-471-87339-X},
publisher = {John Wiley \& Sons},
author = {Deb, Kalyanmoy},
year = {2001},
}
@techreport{mulder_pebble_1999,
title = {Pebble bed reactor with equalised core power distribution inherently safe and simple},
url = {https://juser.fz-juelich.de/record/820874/},
abstract = {Based an the physical properties of pebble bed reactors, a multitude of variations are possible in the layout of the fuel and fuelling schemes. These properties are being exploited in a conceptual design, offering an attractive layout in terms of the inter-related aspects of safety, economy and simplicity. Advantages of this layout are highlighted by means of a direct comparison to a similar reactor characterised by a conventional fuelling scheme. The proposed concept is characterised by the following: In the OTTO (\${\textbackslash}underline\{O\}\$nce \${\textbackslash}underline\{T\}\$hrough \${\textbackslash}underline\{T\}\$hen \${\textbackslash}underline\{O\}\$ut) fuelling scheme the fuel spheres pass through the core once only. Therefore the fuel recirculation subsystems may be negated in the design. The PAP2 (\${\textbackslash}underline\{P\}\$ower \${\textbackslash}underline\{A\}\$djusted by-\${\textbackslash}underline\{P\}\$oison) fuelling scheme involves adding of pebbles with burnable poison that will lead to a strong flattening of the axial core power density. These absorber spheres contain coated particles of B\$\_\{4\}\$C instead of fuel. In the radial direction flattening of the power density is achieved by increasing the loading of graphite spheres into the central fuelling channel (2-zone fuelling). The advantages of a relatively high power performance (250 MW\$\_\{th\}\$), a high heavy metal loading per fuel element (14g\$\_\{HM\}\$), and high burnup (120 MWd/Kg\$\_\{HM\}\$ can be directly translated into an economical advantage. Lowly enriched uranium is employed as fuel which provides a highly proliferation resistant solution when coupled to the high burnup and oncethrough only cycle. The control capability includes unlimited power variations within the operational range of 100-20-100\%. In the proposed concept the reactor is coupled to a power conversion unit which employs a direct cycle helium power turbine. - During a loss of coolant (DLOFC = Depressurised Loss Of Forced Coolant) event, the fuel element temperature is passively limited below 1600 °C, thus avoiding any radioactive release. Computationally the reactor is simulated by means of the VSOP (\${\textbackslash}underline\{V\}\$ery \${\textbackslash}underline\{S\}\$uperior \${\textbackslash}underline\{O\}\$ld \${\textbackslash}underline\{P\}\$rograms) staple of codes. For this purpose the following extensions to the code have been developed: A so-called onion-skin burnup model is introduced to calculate the burnup of the B\$\_\{4\}\$C kernels. Within the absorber spheres the burnup of the coated (B\$\_\{4\}\$C) particles are being followed in a nurnher of separate fiel zones. Based an experimental findings a fuel sphere flog scheine has been developed, which moves downward in parallel in the top area, while the bottorn area is re-organised in a funnel shape towards die de fuelling pipe in accordance with the angle of the conus and discharge rate. A 3-D geometric modeller, FIRZIT (i.e. in \${\textbackslash}phi\$-r-z-ordinates) has been exclusively developed for modelling the so-called noses, employed for housing the cold shut down system in a core with 3,5 m diarneter. This enables the modelling of various pebble flow schernes in azimuthal segments. [...] Mulder, E. J.},
language = {en},
number = {FZJ-2016-06138},
urldate = {2021-02-25},
institution = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
author = {Mulder, E. J.},
year = {1999},
file = {Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\BNWJUVGD\\820874.html:text/html},
}
@article{romano_depletion_2021,
title = {Depletion capabilities in the {OpenMC} {Monte} {Carlo} particle transport code},
abstract = {A depletion solver has been implemented in OpenMC and is described herein. The depletion solver is implemented in Python and interfaces with OpenMC’s transport solver through a C++ application programming interface, which enables an in-memory transport-depletion coupling. Multiple integration methods for advancing in time have been implemented and exhibit tradeoffs in cost, accuracy, and memory use. For all time integration methods, evaluation of the matrix exponential is performed by using the incomplete partial fraction form of the Chebyshev rational approximation method.},
language = {en},
journal = {Annals of Nuclear Energy},
author = {Romano, Paul K},
year = {2021},
pages = {15},
file = {Romano - 2021 - Depletion capabilities in the OpenMC Monte Carlo p.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\98FZYZ5G\\Romano - 2021 - Depletion capabilities in the OpenMC Monte Carlo p.pdf:application/pdf},
}
@article{teuchert_core_1975,
title = {Core physics and fuel cycles of the pebble bed reactor},
volume = {34},
issn = {0029-5493},
url = {https://www.sciencedirect.com/science/article/pii/0029549375901600},
doi = {10.1016/0029-5493(75)90160-0},
abstract = {A high degree of flexibility for the application of the pebble bed HTR results from the size of the fuel elements and the continuous loading of fuel during operation. The OTTO loading scheme (once-through-then-out) allows the gas outlet temperature to be increased up to 1190°C as desired. Different fuel cycles can be used in the same reactor. The highly enriched uranium/thorium fuel cycle allows favourable utilization of the fissile reserves. For a conventional design the net consumption is 467 g/GWd(th), and this figure can be reduced to 58 g/GWd(th) for the advanced variant, achieving the breeding ratio 0.95. The advantage of the low enrichment uranium fuel cycle is the direct in situ utilization of the bred plutonium, being as high as 87\%, which reduces the demand for short-term recycling. The reactor allows change over between the different cycles under full power operation.},
language = {en},
number = {1},
urldate = {2022-03-27},
journal = {Nuclear Engineering and Design},
author = {Teuchert, E. and Rütten, H. J.},
month = oct,
year = {1975},
pages = {109--118},
file = {ScienceDirect Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\HMYA4NWM\\0029549375901600.html:text/html;Teuchert and Rütten - 1975 - Core physics and fuel cycles of the pebble bed rea.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\XFEMNZAR\\Teuchert and Rütten - 1975 - Core physics and fuel cycles of the pebble bed rea.pdf:application/pdf},
}
@misc{richter_zoerichterphlox_2022,
title = {{ZoeRichter}/phlox: {Version} 1.1},
shorttitle = {{ZoeRichter}/phlox},
url = {https://zenodo.org/record/6451576},
abstract = {Corresponds to version used in MS thesis. Dated 11/20/21},
urldate = {2021-11-20},
publisher = {Zenodo},
author = {Richter, Zoë and Fairhurst, Roberto and Türkmen, Mehmet and Huff, Katy and Dotson, Sam},
month = apr,
year = {2022},
doi = {10.5281/zenodo.6451576},
file = {Zenodo Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\YTI3VPQD\\5715933.html:text/html},
}
@techreport{hamilton_htgr_1976,
title = {{HTGR} spent fuel composition and fuel element block flow},
url = {https://www.osti.gov/biblio/7157851},
abstract = {The U.S. Department of Energy's Office of Scientific and Technical Information},
language = {English},
number = {GA-A-13886(Vol.1)},
urldate = {2021-06-03},
institution = {General Atomic Co., San Diego, Calif. (USA)},
author = {Hamilton, C. J. and Holder, N. D. and Pierce, V. H. and Robertson, M. W.},
month = jul,
year = {1976},
doi = {10.2172/7157851},
note = {GA-A13886},
file = {Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\D3BMXEDI\\Hamilton et al. - 1976 - HTGR spent fuel composition and fuel element block.pdf:application/pdf;Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\J6X7HL7I\\7157851.html:text/html},
}
@techreport{hussain_advances_2018,
address = {Vienna, Austria},
type = {A {Supplement} to: {IAEA} {Advanced} {Reactors} {Information} {System} ({ARIS})},
title = {Advances in {Small} {Modular} {Reactor} {Technology} {Developments}},
url = {http://aris.iaea.org},
abstract = {The driving forces in the development of SMRs are their specific characteristics. They can be deployed incrementally to closely match increasing energy demand resulting in a moderate financial commitment for countries or regions with smaller electricity grids. SMRs show the promise of significant cost reduction through modularization and factory construction which should further improve the construction schedule and reduce costs. In the area of wider applicability SMR designs and sizes are better suited for partial or dedicated use in non-electrical applications such as providing heat for industrial processes, hydrogen production or sea-water desalination. Process heat or cogeneration results in significantly improved thermal efficiencies leading to a better return on investment. Some SMR designs may also serve niche markets, for example to burn nuclear waste. Booklets on the status of SMR technology developments have been published in 2012, 2014 and 2016. The objective is to provide Member States with a concise overview of the latest status of SMR designs. This booklet is reporting the advances in design and technology developments of SMRs of all the major technology lines within the category of SMRs. It covers land based and marine based water-cooled reactors, high temperature gas cooled reactors, liquid metal, sodium and gas-cooled fast neutron spectrum reactors and molten salt reactors. The content on the specific SMRs is provided by the responsible institute or organization and is reproduced, with permission, in this booklet.},
institution = {Nuclear Power Technology Development Section, Division of Nuclear Power of the IAEA Department of Nuclear Energy},
author = {Hussain, M. and Reitsma, F. and Subki, M.H. and Kiuchi, H.},
month = sep,
year = {2018},
file = {IAEA - 2018 - Advances in Small Modular Reactor Technology Devel.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\V3DHFDXG\\IAEA - 2018 - Advances in Small Modular Reactor Technology Devel.pdf:application/pdf},
}
@techreport{notz_overview_1976,
title = {Overview of {HTGR} fuel recycle},
url = {https://www.osti.gov/biblio/4152968},
abstract = {An overview of HTGR fuel recycle is presented, with emphasis placed on reprocessing and fuel kernel refabrication. Overall recycle operations include (1) shipment and storage, (2) reprocessing, (3) refabrication, (4) waste handling, and (5) accountability and safeguards. (auth)},
language = {English},
number = {ORNL-TM-4747},
urldate = {2022-08-29},
institution = {Oak Ridge National Lab., Tenn. (USA)},
author = {Notz, K. J.},
month = jan,
year = {1976},
doi = {10.2172/4152968},
file = {Notz - An Overview of HTGR Fuel Recycle.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\IUIK6MJH\\Notz - An Overview of HTGR Fuel Recycle.pdf:application/pdf;Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\P2GX3Y8V\\4152968.html:text/html},
}
@misc{us_nuclear_regulatory_commission_stages_2020,
title = {Stages of the {Nuclear} {Fuel} {Cycle}},
urldate = {2022-02-25},
author = {{U.S. Nuclear Regulatory Commission}},
month = dec,
year = {2020},
note = {Publication Title: NRC Web
Published: https://www.nrc.gov/materials/fuel-cycle-fac/stages-fuel-cycle.html},
}
@misc{powersim_powersim_nodate,
title = {{PowerSim} {Software}},
url = {https://powersim.com/},
abstract = {Powersim Software; the developer of pForecast and the Powersim Studio 10 tools for System Dynamics modelling, simulations and uncertainty analysis.},
language = {en-GB},
urldate = {2022-02-10},
author = {{PowerSim}},
note = {Publication Title: Powersim Software},
file = {Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\463XIV3P\\powersim.com.html:text/html},
}
@article{richards_application_2021,
title = {Application of sensitivity analysis in {DYMOND}/{Dakota} to fuel cycle transition scenarios},
volume = {7},
copyright = {© S. Richards and B. Feng, Published by EDP Sciences, 2021},
issn = {2491-9292},
doi = {10.1051/epjn/2021024},
abstract = {The ability to perform sensitivity analysis has been enabled for the nuclear fuel cycle simulator DYMOND through its coupling with the design and analysis toolkit Dakota. To test and demonstrate these new capabilities, a transition scenario and multi-parameter study were devised. The transition scenario represents a partial transition from the US nuclear fleet to a closed fuel cycle with small modular LWRs and fast reactors fueled by reprocessed used nuclear fuel. Four uncertain parameters in this transition were studied – start date of reprocessing, total reprocessing capacity, the nuclear energy demand growth, and the rate at which the fast reactors are deployed – with respect to their impact on four response metrics. The responses – total natural uranium consumed, maximum annual enrichment capacity required, total disposed mass, and total cost of the nuclear fuel cycle – were chosen based on measures known to be of interest in transition scenarios [] and to be significantly impacted by the varying parameters. Analysis of this study was performed both from the direct sampling and through surrogate models developed in Dakota to calculate the global sensitivity measures Sobol’ indices. This example application of this new capability showed that the most consequential parameter to most metrics was the share of new build capacity that is fast reactors. However, for the cost metric, the scaling factor of the energy demand growth was significant and had synergistic behavior with the fast reactor new build share.},
language = {en},
urldate = {2022-02-09},
journal = {EPJ Nuclear Sciences \& Technologies},
author = {Richards, S. and Feng, B.},
year = {2021},
note = {Published: = https://www.epj-n.org/articles/epjn/abs/2021/01/epjn210022/epjn210022.html},
pages = {26},
annote = {Publisher: EDP Sciences},
file = {Application of sensitivity analysis in DYMOND_Dakota to fuel cycle transition scenarios - 1841572.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\HHJRD9YK\\Application of sensitivity analysis in DYMOND_Dakota to fuel cycle transition scenarios - 1841572.pdf:application/pdf;Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\Q3G5TYM8\\BYDIMIBN.pdf:application/pdf;Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\I5FBNX4K\\epjn210022.html:text/html},
}
@techreport{feng_sensitivity_2020,
title = {Sensitivity and {Uncertainty} {Quantification} of {Transition} {Scenario} {Simulations}},
abstract = {This report documents the first collective attempt at developing and applying capabilities to quantify uncertainties, assess parametric sensitivities, and optimize multiple parameters and metrics in fuel cycle simulations generated by the SA\&I Campaign. To do this, external codes that were designed to perform sensitivity analysis and uncertainty quantification (SA\&UQ) needed to be coupled to the SA\&I Campaign’s nuclear fuel cycle simulators (NFCS). In FY20, two approaches were pursued: 1) coupling Cyclus to an ORNL-internal code called MOT (Metaheuristic Optimization Tool) and 2) coupling DYMOND to the opensource SA\&UQ tool kit Dakota. The primary objective of having these NFCS/SA\&UQ coupled capabilities is to better inform DOE-NE and other stakeholders on the results generated from the NFCS. For a given set of fuel cycle strategies, policies, and technology assumptions that make up a fuel cycle scenario, these NFCS have traditionally been used by the SA\&I Campaign to provide quantitative answers in terms of year-by-year mass flows, infrastructure requirements, costs, etc. With these newly developed coupled capabilities, the SA\&I Campaign can now efficiently simulate hundreds or thousands of these scenarios, sample large ranges of parameters and assumptions, and use the unique features of the SA\&UQ tools to process the data. This enables providing answers with known and propagated uncertainties, determining the sensitivity of important metrics to different parameters and assumptions, quantifying how much fuel cycle and technology parameters impact each other, and producing optimized fuel cycle strategies for single and multiple variables. To demonstrate these new capabilities, the Cyclus/MOT was used to model several scenarios ranging from simple fleet retirements to transitions to advanced reactors. Specifically, for a transition scenario from LWRs to SFRs and advanced LWRs, uncertainty quantification, sensitivity analysis, and optimization studies were applied to cases involving single and multiple parameter (input) and single and multiple metric (output) variations. In addition, a similar transition scenario was modeled to demonstrate how to optimize the reprocessing capacity parameter to minimize two performance metrics while taking into account uncertainties from two other parameters. Lastly, a depletion module based on SCALE/ORIGEN was added in Cyclus to simulate the third scenario that was designed to quantify the impact of the modeling assumption that all LWR used nuclear fuel have the same burnup. The newly developed DYMOND/Dakota capability was also applied to a transition scenario from the existing fleet to small modular reactors and fast reactors. This particular scenario involves not only explicit isotopic depletion via ORIGEN-2, but also includes multirecycling and utilizing the criticality search feature to determine the fresh fuel composition of recycled fuel, a feature unique to the DYMOND NFCS. A large database of simulations were run with 4 main parameters that were sampled: start date of reprocessing, reprocessing capacity, energy demand growth rate, and advanced reactor share of the fleet. The 4 main metrics were uranium consumption, enrichment requirements, waste generation, and levelized cost of electricity using data from the Cost Basis Report. The demonstrated SA\&UQ results include those that inform on how to choose parameters to avoid “failed” scenarios, Sobol’ indices that inform on the importance of various parameters individually and synergistically, and Analysis of Variance (ANOVA) studies that decompose parameter ranges into groups and informs on whether variations are statistically significant.},
language = {English},
number = {ANL/NSE-20/38},
urldate = {2022-02-09},
institution = {Argonne National Lab. (ANL), Argonne, IL (United States)},
author = {Feng, B. and Richards, S. and Bae, J. and Davidson, E. and Worrall, A. and Hays, R.},
month = sep,
year = {2020},
note = {Published: = https://www.osti.gov/biblio/1670703},
file = {Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\AUJ5QGB5\\8TAP3BE3.pdf:application/pdf;Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\TWK3RAEK\\1670703.html:text/html},
}
@inproceedings{powers_fully_2014,
address = {Kyoto, Japan},
title = {{FULLY} {CERAMIC} {MICROENCAPSULATED} {FUELS}: {CHARACTERISTICS} {AND} {POTENTIAL} {LWR} {APPLICATIONS}},
abstract = {This paper summarizes the characteristics of the fully ceramic microencapsulated (FCM) fuel concept and two potential light water reactor (LWR) applications of FCM fuels: for actinide management and as an accident tolerant fuel (ATF). Recent progress in FCM fuel development includes production of uranium mononitride kernels, fabrication of FCM pellets and pins, and irradiation testing of matrix samples and FCM pellets. Potential applications of FCM fuel in LWRs appear promising based upon studies performed by several organizations; however, further efforts are needed to investigate various design aspects in further detail and explore promising new areas of research such as new fuel pin and assembly designs or alternate materials of interest. Current challenges in FCM fuel development and LWR applications for FCM fuels include low heavy metal fuel loading densities and increased uncertainties in analysis due to several different factors. Overall, LWR FCM concepts appear feasible for both actinide management and as an ATF.},
language = {en},
author = {Powers, Jeffrey J and Worrall, Andrew and Terrani, Kurt A and Gehin, Jess C and Snead, Lance L},
year = {2014},
pages = {16},
file = {Powers et al. - 2014 - FULLY CERAMIC MICROENCAPSULATED FUELS CHARACTERIS.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\LVNCIQAE\\KAL8M2SG.pdf:application/pdf},
}
@inproceedings{snead_fully_2011,
title = {Fully {Ceramic} {Microencapsulated} {Fuels}: {A} {Transformational} {Technology} for {Present} and {Next} {Generation} {Reactors}},
volume = {104},
abstract = {The technology of microencapsulated fuel, in the form of TRistructural‐ISOtropic (TRISO) ceramics, was first developed for large High Temperature Gas Cooled systems such as the German THTR‐300 and the US Ft. St. Vrain reactors. Recently, significant performance improvements of TRISO fuels have been achieved through the US AGR program whereby newly improved and fabricated fuel from ORNL has been irradiated at the ATR reactor at INL to a fluence more than twice as large as the previous record. This recently invigorated effort towards the understanding and improved performance of microencapsulated fuels has spurred study into potential new applications for such fuel forms. Example applications include the destruction of transuranics (TRU) contained in spent fuel and replacement of standard UO2 fuel in commercial LWRs, or as the fuel of the next generation fluoride salt cooled reactors.},
language = {en},
booktitle = {Transactions of the {American} {Nuclear} {Society}},
author = {Snead, L L and Venneri, F and Kim, Y and Terrani, K A and Tulenko, J E and Forsberg, C W and Peterson, P F and Lahoda, E J},
year = {2011},
pages = {668--674},
file = {Snead et al. - Fully Ceramic Microencapsulated Fuels A Transform.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\34FZ6ZMS\\GCR2WMZ2.pdf:application/pdf},
}
@misc{us_nuclear_regulatory_commission_centrus_2021,
title = {Centrus {Energy} {Corp}. (formerly {USEC} {Inc}.) {Gas} {Centrifuge} {Enrichment} {Facility} {Licensing}},
urldate = {2022-02-08},
author = {{U.S. Nuclear Regulatory Commission}},
month = may,
year = {2021},
note = {Publication Title: NRC Web},
file = {Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\E5BPKZ7G\\usecfacility.html:text/html},
}
@techreport{nelson_foreign_2010,
address = {Belgium},
title = {Foreign research reactor uranium supply program: {The} {Y}-12 national security complex process},
shorttitle = {Foreign research reactor uranium supply program},
abstract = {The Foreign Research Reactor (FRR) Uranium Supply Program at the Y-12 National Security Complex supports the nonproliferation objectives of the HEU Disposition Program, the Reduced Enrichment Research and Test Reactors (RERTR) Program, and the United States FRR Spent Nuclear Fuel (SNF) Acceptance Program The Y-12 National Nuclear Security Administration (NNSA) Y-12 Site Office maintains the prime contracts with foreign governments for the supply of Low-Enriched Uranium (LEU) for their research reactors The LEU is produced by down blending Highly Enriched Uranium (HEU) that has been declared surplus to the US national defense needs The down blending and sale of the LEU supports the Surplus HEU Disposition Program Record of Decision to make the HEU non-weapons usable and to recover the economic value of the uranium to the extent feasible This program supports the important US government and nuclear nonproliferation commitment to serve as a reliable and cost-effective uranium supplier for those foreign research reactors that are converting or have converted to LEU fuel under the guidance of the NNSA RERTR Program In conjunction with the FRR SNF Acceptance Program which supports the global nonproliferation efforts to disposition US-origin HEU, the Y-12 FRR Uranium Supply Program can provide the LEU for the replacement fuel fabrication In addition to feedstock for fuel fabrication, Y-12 supplies LEU for target fabrication for medical isotope production The Y-12 process uses supply forecasting tools, production improvements and efficient delivery preparations to successfully support the global research reactor community},
number = {978-92-95064-10-2},
author = {Nelson, T. and Eddy, B.G.},
year = {2010},
pages = {8},
annote = {INIS-BE–10K0001 INIS Reference Number: 41064167},
file = {Nelson and Eddy - 2010 - Foreign research reactor uranium supply program T.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\H3T9Q5FC\\6LVK6WGN.pdf:application/pdf},
}
@misc{nuclear_energy_institute_us_2021,
title = {U.{S}. {Nuclear} {Plant} {License} {Information}},
url = {https://www.nei.org/resources/statistics/us-nuclear-plant-license-information},
abstract = {License information for operating plants, including operation, commercial operation and expiration dates and net summer capacity.},
language = {en},
urldate = {2022-02-03},
author = {{Nuclear Energy Institute}},
month = may,
year = {2021},
note = {Publication Title: Nuclear Energy Institute},
file = {Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\DR7BAFM4\\us-nuclear-plant-license-information.html:text/html},
}
@techreport{us_energy_information_administration_monthly_2022,
address = {Washington, D.C.},
type = {Technical {Report}},
title = {Monthly {Energy} {Review} – {January} 2022},
url = {https://www.eia.gov/totalenergy/data/monthly/},
language = {en},
institution = {U.S. Energy Information Administration},
author = {{U.S. Energy Information Administration}},
month = jan,
year = {2022},
pages = {276},
file = {2022 - Monthly Energy Review – January 2022.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\BNHEV75R\\2022 - Monthly Energy Review – January 2022.pdf:application/pdf},
}
@misc{noauthor_us_nodate,
title = {U.{S}. nuclear industry - {U}.{S}. {Energy} {Information} {Administration} ({EIA})},
url = {https://www.eia.gov/energyexplained/nuclear/us-nuclear-industry.php},
urldate = {2022-02-02},
file = {U.S. nuclear industry - U.S. Energy Information Administration (EIA):C\:\\Users\\abachmann\\Zotero\\storage\\CHSXNYIX\\us-nuclear-industry.html:text/html},
}
@misc{noauthor_us_2022,
title = {U.{S}. {Nuclear} {Generating} {Statistics}},
url = {https://www.nei.org/resources/statistics/us-nuclear-generating-statistics},
abstract = {U.S. nuclear generating statistics from 1977-2019, including megawatt-hours generated by nuclear energy, capacity factor, nuclear fuel share and total electricity generation.},
language = {en},
urldate = {2022-02-02},
month = aug,
year = {2022},
note = {Publication Title: Nuclear Energy Institute},
file = {Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\4UWZEPSQ\\us-nuclear-generating-statistics.html:text/html},
}
@article{koning_status_2011,
title = {Status of the {JEFF} nuclear data library},
volume = {59},
doi = {10.3938/jkps.59.1057},
abstract = {The status of the Joint Evaluated Fission and Fusion file (JEFF) is described. Recently, the JEFF-3.1.1 nuclear data library was released, and shortly after adopted by the French nuclear power industry for inclusion in their production and analysis codes. Recent updates include actinide evaluations, materials evaluations that have emerged from various European nuclear data projects, the activation library, the decay data and fission yield sub-libraries, and fusion-related data files from the European F4E project. The revisions were motivated by the availability of new measurements, modelling capabilities and trends from integral experiments. Validations have been performed, mainly for criticality, reactivity temperature coefficients, fuel inventory, decay heat and shielding of thermal and fast systems. The next release of the library, JEFF-3.2, will be discussed. This will contain among others a significant increase of covariance data evaluations, modern evaluations for various structural materials, a larger emphasis on minor actinides and addition of high-quality gamma production data for many fission products.},
journal = {Journal- Korean Physical Society},
author = {Koning, Arjan and Bauge, E. and Dean, C.J. and Dupont, Emmeric and U., Fischer and Forrest, R.A. and Jacqmin, R. and Leeb, Helmut and Kellett, Mark and Mills, R.W. and C., Nordborg and Pescarini, M. and Rugama, Yolanda and P., Rullhusen},
month = aug,
year = {2011},
pages = {1057--1062},
file = {Koning et al. - 2011 - Status of the JEFF nuclear data library.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\ZFW8E5SG\\Koning et al. - 2011 - Status of the JEFF nuclear data library.pdf:application/pdf},
}
@article{sadegh-noedoost_investigations_2020,
title = {Investigations of the fresh-core cycle-length and the average fuel depletion analysis of the {NuScale} core},
volume = {136},
issn = {0306-4549},
url = {https://www.sciencedirect.com/science/article/pii/S0306454919304979},
doi = {10.1016/j.anucene.2019.106995},
abstract = {Fresh cores with a few changes on the fuel enrichment and/or gadolinium content of the Fuel Assemblies (FAs) are proposed for a typical PWR-Small Modular Reactor called NuScale. Many neutronics as well as Thermal Hydraulics (TH) Core Design Basis Limits for the first-cycle of the proposed fresh core are fully studied and verified herein. In addition, the coupled TH-neutronic calculations of the core are performed using RELAP5-MCNP codes. The burnup calculation for the core is performed using MCNPX 2.7 to investigate the core first-cycle-length. The excess reactivity as well as power peaking are studied to find the first-cycle-length. Average core fuel depletion are also taken into account; and masses of produced fission fragments and build up plutonium isotopes as well as the remained mass of uranium isotopes (and Gd) are computed at the EOC (first cycle of 730 days).},
language = {en},
urldate = {2022-01-31},
journal = {Annals of Nuclear Energy},
author = {Sadegh-Noedoost, A. and Faghihi, F. and Fakhraei, A. and Amin-Mozafari, M.},
month = feb,
year = {2020},
keywords = {Small modular reactor, Core design basis limits, First cycle-length, Fuel depletion analysis, Makxsf module, MCNPX2.7/MCNP5 and RELAP5/SCDAP 3.4},
pages = {106995},
file = {Sadegh-Noedoost et al. - 2020 - Investigations of the fresh-core cycle-length and .pdf:C\:\\Users\\abachmann\\Zotero\\storage\\22H7X5B2\\Sadegh-Noedoost et al. - 2020 - Investigations of the fresh-core cycle-length and .pdf:application/pdf;ScienceDirect Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\TVNQIVTG\\S0306454919304979.html:text/html},
}
@article{suk_simulation_2021,
title = {Simulation of a {NuScale} core design with the {CASL} {VERA} code},
volume = {371},
issn = {0029-5493},
url = {https://www.sciencedirect.com/science/article/pii/S0029549320304507},
doi = {10.1016/j.nucengdes.2020.110956},
abstract = {Three-dimensional (3D) full-core calculations are an integral part of fuel reload design for today’s light water reactors (LWRs). The current approaches are typically based on the nodal diffusion codes that calculate criticality state points and power distributions as a function of burnup. The CASL VERA (Consortium for Advanced Simulation of Light Water Reactors, Virtual Environment for Reactor Applications) code represents one of the latest advancements in 3D full-core calculation analysis based on transport theory methods employing the Method of Characteristics (MOC) and coupled multi-physics. In this article, a publicly released version of the NuScale reactor core is analysed with the VERA code (version 3.9 and 4.1) and contrasted against some static Serpent and Polaris based simulations. The analysis shows an excellent agreement for the lattice-level calculations as well as with some of the 3D full-core models. However, larger deviations were found in cases with heavy reflector models, whereby the reflector composition was found to impact the differences between the VERA and Serpent results. In this analysis, it was determined that greater than 90\% stainless steel content in the heavy reflector leads to higher deviations between the VERA results and the Serpent results. The burnup calculations showed that the presence of the heavy reflector extends the cycle length and also leads to a flatter power distribution in the core, which can generally be interpreted as more efficient.},
language = {en},
urldate = {2022-01-31},
journal = {Nuclear Engineering and Design},
author = {Suk, Pavel and Chvála, Ondřej and Maldonado, G. Ivan and Frýbort, Jan},
month = jan,
year = {2021},
keywords = {Serpent, 3D full core calculations, CASL VERA, Loads optimization, NuScale, TH coupling},
pages = {110956},
file = {ScienceDirect Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\SHTANPB9\\887KYAFX.pdf:application/pdf;ScienceDirect Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\IVCGE8Z3\\S0029549320304507.html:text/html},
}
@article{carlson_economic_2020,
title = {An {Economic} {Cost} {Assessment} on {HALEU} {Fuels} for {Small} {Modular} {Reactors}},
volume = {2020},
issn = {1687-6075},
url = {https://www.hindawi.com/journals/stni/2020/8815715/},
doi = {10.1155/2020/8815715},
abstract = {Small modular reactors (SMRs) are currently being considered as future investments for commercial entities due to perceived advantages over traditional large-scale power reactors, particularly their considerably lower capital costs. One strategy for lowering the levelized cost of electricity (LCOE) of SMRs is to increase their burnup by utilizing high-assay low-enriched uranium (HALEU) fuels, which range from 5 to 20 weight percent (w/o) of U-235. By increasing fuel enrichment to HALEU levels, with higher specific fuel costs compared to standard enrichment, a plant may achieve an increased capacity factor by extending its fuel cycle and thereby reducing average yearly fuel supply costs. It is expected that the benefits of optimizing fuel enrichment to extend a reactor’s fuel cycle outweigh the added cost due to more expensive fuel. In this paper, the net benefit of extending an SMR’s fuel cycle by enriching uranium fuel to HALEU levels was estimated using 2017 nuclear fuel production market data with NuScale’s 160 MWt SMR design as a case study. It was found that, for NuScale’s design, plant LCOE decreased with increasing cycle length enabled by higher fuel enrichment. It was also observed that doubling cycle time from 24 months to 48 months netted each reactor a 1.23 \$/MWh reduction in LCOE. The total savings for a 12-module SMR design were estimated to be around \$5,840,000 per year. Therefore, utilizing HALEU fuel in SMRs can vastly improve their economic efficiency.},
language = {en},
urldate = {2022-01-27},
journal = {Science and Technology of Nuclear Installations},
author = {Carlson, Liam and Wu, Zeyun and Olson, James and Liu, Li (Emily)},
month = dec,
year = {2020},
pages = {e8815715},
annote = {Publisher: Hindawi},
file = {Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\AC4N95ZK\\N9CKFW6G.pdf:application/pdf;Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\MUECWKM2\\8815715.html:text/html},
}
@misc{nuscale_chapter_2020,
title = {Chapter {Four} {Reactor}},
shorttitle = {{NuScale} {Final} {Safety} {Analysis} {Report}},
url = {https://www.nrc.gov/reactors/new-reactors/design-cert/nuscale.html},
abstract = {NuScale Standard Plant Design Certification Application},
publisher = {US NRC},
author = {{NuScale}},
month = jul,
year = {2020},
annote = {Rev. 5},
file = {ML20224A492.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\RTVA62ME\\ML20224A492.pdf:application/pdf},
}
@misc{nuscale_chapter_2020-1,
title = {Chapter {One} {Introdcution} and {General} {Description} of the {Plant}},
shorttitle = {{NuScale} {Final} {Safety} {Analysis} {Report}},
url = {https://www.nrc.gov/reactors/new-reactors/design-cert/nuscale.html},
abstract = {NuScale Standard Plant Design Certification Application},
publisher = {US NRC},
author = {{NuScale}},
month = jul,
year = {2020},
annote = {Rev. 5},
file = {NuScale - 2020 - Chapter One Introdcution and General Description o.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\39RV5343\\NuScale - 2020 - Chapter One Introdcution and General Description o.pdf:application/pdf},
}
@article{carlson_implications_2022,
title = {Implications of {HALEU} fuel on the design of {SMRs} and micro-reactors},
volume = {389},
issn = {0029-5493},
url = {https://www.sciencedirect.com/science/article/pii/S0029549322000024},
doi = {10.1016/j.nucengdes.2022.111648},
abstract = {Since the construction of the first commercial nuclear power plant in 1957, the nuclear power industry has operated under the philosophy of economy of scale - the idea that increased power plant size accounts for higher economic efficiency. However, there has been a recent shift in direction; small modular reactors (SMRs) and micro-reactors are being considered as potentially wise investments for commercial power producers in that they can provide advantages that large-scale reactors may not possess in terms of reactor safety and investment risk. However, this may come at the risk of a higher levelized cost of electricity (LCOE). LCOE may be reduced by enriching the fuel passed its regulated limit of 5 wt\% (w/o) 235U. The high assay low-enriched uranium (HALEU) fuel (5–20 w/o 235U) is introduced to increase the plant capacity factor, which thereby decrease fuel supply costs and reduce the LCOE. While decreasing plant LCOE seems like a clear advantage, several issues may result from increasing enrichments to the HALEU level in an SMR or micro-reactor design. This paper aims to shed light on these issues and address how they may affect the overall reactor design by using HALEU fuels in these reactors. This paper first discusses the notable effects on a reactor design with higher enrichment, then analyzes a SMR case study based on the NuScale’s 160 MWth SMR design. The case study reveals that the SMR with higher enriched fuel was able to double both fuel burnup and cycle time with an average core enrichment of 8.34 w/o and a maximum average assembly enrichment of 9.10 w/o. Moreover, this higher enriched core was found to operate with a maximum global peaking factor of 1.86, well below the published limit of 2.0. Likewise, the maximum axial flux offset of −2.4\% and the maximum boron concentration of 1757 ppm both remain within their respective safety constraints. Notable fission poisons, such as 149Sm and 135Xe, were also found to sharply increase in the HALEU core. Additionally, the average fuel temperature and peak cladding temperature fell within their respective safety constraints. Core-averaged flux, fluence, cladding creep, and post-shutdown decay heat were also investigated. Lastly, the higher enriched core was found to reduce LCOE by approximately 1.23 \$/MWh.},
language = {en},
urldate = {2022-01-26},
journal = {Nuclear Engineering and Design},
author = {Carlson, Liam and Miller, James and Wu, Zeyun},
month = apr,
year = {2022},
pages = {111648},
file = {ScienceDirect Full Text PDF:C\:\\Users\\abachmann\\Zotero\\storage\\PR848KBT\\PRPFPFA9.pdf:application/pdf;ScienceDirect Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\JU4CTF55\\S0029549322000024.html:text/html},
}
@misc{nagley_ha-leu_2020,
title = {{HA}-{LEU} {Supply} ({Enrichment}, {De}-conversion, {Fuel} {Fab} \& {Transportation})},
url = {https://gain.inl.gov/HALEU_Webinar_Presentations/12-Nagley,BWXT-28Apr2020.pdf},
language = {en},
author = {Nagley, Scott},
month = apr,
year = {2020},
note = {Place: GAIN/NEI/EPRI Webinar},
file = {Nagley - (Enrichment, De-conversion, Fuel Fab & Transportat.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\225HTNUB\\Nagley - (Enrichment, De-conversion, Fuel Fab & Transportat.pdf:application/pdf},
}
@techreport{nuclear_energy_institute_establishing_2022,
title = {Establishing a {HALEU} {Infrastructure} for {Advanced} {Reactors}},
url = {https://www.nei.org/resources/reports-briefs/establishing-a-haleu-infrastructure-for-advanced-r},
abstract = {Establishing a High Assay Low Enriched Uranium Infrastructure for Advanced Reactors},
language = {en},
urldate = {2022-01-26},
institution = {Nuclear Energy Institute},
author = {{Nuclear Energy Institute}},
month = jan,
year = {2022},
file = {NEI-White-Paper-Establishing-a-High-Assay-Low-Enriched-Uranium-Infrastructure-for-Advanced-Reactors-Jan-2022.pdf:C\:\\Users\\abachmann\\Zotero\\storage\\GWDSAS4T\\7LEVLF3H.pdf:application/pdf;Snapshot:C\:\\Users\\abachmann\\Zotero\\storage\\DK7VRLC3\\establishing-a-haleu-infrastructure-for-advanced-r.html:text/html},
}
@inproceedings{celikten_effects_2021,
address = {Washington D.C.},
title = {The {Effects} of {Impurities} in {Down}-{Blending} {Highly} {Enriched} {Uranium} on the {Reactor} {Neutronics} and {Cycle} {Length}},
volume = {125},
url = {https://epubs.ans.org/?a=50496&_ga=2.168282849.1300862486.1643044250-1896939585.1615568796},
urldate = {2022-01-26},
booktitle = {Transactions of the {American} {Nuclear} {Soceity} {Winter} {Meeting}},
author = {Celikten, Osman S. and Sahin, Dagistan},
month = dec,