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I. Merino Rodríguez
Universidad Catolica del Maule Av. San Miguel 3605, Talca, Region del Maule, Chile

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Conference paper
Published: 22 February 2021 in EPJ Web of Conferences
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This paper presents the first results of a computational platform dedicated to the propagation of nuclear data covariances, all the way to fuel cycle scenario observables. Such platform, based on in-house codes developed at SCK•CEN in Belgium, both for the creation of the many-randomized nuclear data libraries based on ENDF format and for fuel cycle scenario-studies (known as SANDY and ANICCA, respectively), was employed for the uncertainty assessment of the time-dependent inventory computed from a mono-recycling of Plutonium scenario based on a PWR fleet. An essential part of the procedure that deals with the creation of input data libraries to ANICCA, has been carried out this time by the SERPENT2 code. Due to the fact that its neutron transport and depletion parallelized calculation in 72 cores for up to 1640 days and 60 MWd/kg-HM takes almost one hour, it is feasible to finish a total of 100 ANICCA runs based on randomized input libraries created from ENDF/B-VII.1 neutron-reaction covariances in about one week. Therefore, it is consider that the computation of the output population statistics can be inferred from 100 observables representing time-dependent mass inventories. To mention a few results from the aforementioned NEA/OECD benchmark scenario, it was found out that the relative standard deviation of the accumulated plutonium in the final disposal after 120 years was of 7%, while for curium it corresponded to 8%. Thus, sources of uncertainty arising from neutron-reaction covariances do have an impact in the final quantitative analysis of the fuel cycle output uncertainties.

ACS Style

Augusto Hernandez Solis; Ivan Merino Rodriguez; Luca Fiorito; Gert Van Den Eynde. A NOVEL COMPUTATIONAL PLATFORM FOR THE PROPAGATION OF NUCLEAR DATA UNCERTAINTIES THROUGH THE FUEL CYCLE CODE ANICCA. EPJ Web of Conferences 2021, 247, 13007 .

AMA Style

Augusto Hernandez Solis, Ivan Merino Rodriguez, Luca Fiorito, Gert Van Den Eynde. A NOVEL COMPUTATIONAL PLATFORM FOR THE PROPAGATION OF NUCLEAR DATA UNCERTAINTIES THROUGH THE FUEL CYCLE CODE ANICCA. EPJ Web of Conferences. 2021; 247 ():13007.

Chicago/Turabian Style

Augusto Hernandez Solis; Ivan Merino Rodriguez; Luca Fiorito; Gert Van Den Eynde. 2021. "A NOVEL COMPUTATIONAL PLATFORM FOR THE PROPAGATION OF NUCLEAR DATA UNCERTAINTIES THROUGH THE FUEL CYCLE CODE ANICCA." EPJ Web of Conferences 247, no. : 13007.

Journal article
Published: 01 November 2019 in Annals of Nuclear Energy
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Uncertainty propagation and quantification, when applied to the field of nuclear fuel cycle scenario studies, usually only considers a set of easily quantifiable input parameters, leaving out the effects of the modelling approaches. In order to extend the validity of these analyses, two different codes, ANICCA and TR_EVOL (developed respectively by SCK·CEN and CIEMAT), have been benchmarked through a study of an advanced and realistic nuclear fuel cycle scenario with the aim of assessing the impact of the use of different tools in the fuel cycle scenario uncertainty quantification. Additionally, a classical uncertainty propagation analysis was done following the total Monte Carlo and sensitivity approaches in order to compare the system uncertainties with the dissimilarities due the simulators. Results shows that the impact of the fuel cycle simulators cannot be neglected for certain observables, and that their effects become relevant as the scenarios extends over time due their cumulative effect.

ACS Style

A.V. Skarbeli; I. Merino Rodríguez; F. Álvarez-Velarde; A. Hernández-Solís; G. Van Den Eynde. Quantification of the differences introduced by nuclear fuel cycle simulators in advanced scenario studies. Annals of Nuclear Energy 2019, 137, 107160 .

AMA Style

A.V. Skarbeli, I. Merino Rodríguez, F. Álvarez-Velarde, A. Hernández-Solís, G. Van Den Eynde. Quantification of the differences introduced by nuclear fuel cycle simulators in advanced scenario studies. Annals of Nuclear Energy. 2019; 137 ():107160.

Chicago/Turabian Style

A.V. Skarbeli; I. Merino Rodríguez; F. Álvarez-Velarde; A. Hernández-Solís; G. Van Den Eynde. 2019. "Quantification of the differences introduced by nuclear fuel cycle simulators in advanced scenario studies." Annals of Nuclear Energy 137, no. : 107160.

Journal article
Published: 17 September 2019 in Sustainability
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Nowadays, establishing clean energy sources is an undeniable need for all territories to reconcile energy and competitiveness objectives with those of security and sustainability. This article shows the main advantages of implementing clean energy sources in the long-term Chilean electrical network. The clean energy considered in this work is based on Renewable Energy (Conventional and Non-Conventional) with the backup of gas or nuclear. Thus, four scenarios are proposed and were simulated for the year 2050, the year assumed for the decommissioning of all coal plants in the country. These scenarios contemplate a high or low penetration of Renewable Energy. Additionally, a reference and realistic scenario for the year 2018 has also been considered to compare to the clean scenarios proposed. The results obtained coincide with the goals of reducing environmental impacts such as global warming emissions and fossil fuel dependence. However, the backup that was chosen for supporting the intermittence of renewable energy may have an important role in the main system considering the expected growth of energy demands in the near future.

ACS Style

Ivan Merino; Israel Herrera; Hugo Valdés. Environmental Assessment of Energy Scenarios for a Low-Carbon Electrical Network in Chile. Sustainability 2019, 11, 5066 .

AMA Style

Ivan Merino, Israel Herrera, Hugo Valdés. Environmental Assessment of Energy Scenarios for a Low-Carbon Electrical Network in Chile. Sustainability. 2019; 11 (18):5066.

Chicago/Turabian Style

Ivan Merino; Israel Herrera; Hugo Valdés. 2019. "Environmental Assessment of Energy Scenarios for a Low-Carbon Electrical Network in Chile." Sustainability 11, no. 18: 5066.