Evaluation of the neutronic Superphenix start-up commissioning tests with TRIPOLI4

Garcia, E.; Sciora, P.; Rimpault, G.

doi:10.1016/j.anucene.2019.02.012

Cited by 3 publications

(7 citation statements)

References 10 publications

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“…As it was shown in reference (Garcia, Sciora, & Rimpault, 2019), a Superphénix TRIPOLI-4 model has been experimentally validated against a set of start-up tests at the commissioning phase. As an example, the TRIPOLI-4 axial fission rate is given for the 30 26 sub-assembly position.…”

Section: Transversal Irradiationmentioning

confidence: 99%

“…The SCP was divided in two curtains; an inner curtain with 6 absorber subassemblies and an outer one with 15 absorber subassemblies at the interface of the inner and outer core. A more precise description of the different kinds of subassemblies can be found in the reference (Garcia, Sciora, & Rimpault, 2019).…”

Section: Start-up Core: Transversal Irradiation Testsmentioning

confidence: 99%

“…The Monte Carlo calculations are used here as the reference calculations as their approximations are limited. The Superphénix geometry model used in the present paper has been already validated in (Garcia, Sciora, & Rimpault, 2019). For the current simulations, runs were performed with 25,000 neutrons and 5100 iterations, of which 5000 were active iterations.…”

Section: Stochastic Analysismentioning

confidence: 99%

“…At first, a numerical validation is performed to check codes consistency. A TRIPOLI-4 model, validated in (Garcia, Sciora, & Rimpault, 2019), is taken to be the reference evaluation and it is compared against the deterministic evaluations of ERANOS and APOLLO-3. Figure 7 presents the assemblies loaded in the radial column with the nature of each to serve as guide in the following evaluations.…”

Section: Numerical Validationmentioning

confidence: 99%

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Flux distribution of the Superphénix start-up core for the validation of neutronic codes

Garcia

Sciora

Kooyman

et al. 2019

Annals of Nuclear Energy

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The Superphénix reactor remains the largest Sodium-cooled Fast Reactor ever built in the world and its legacy is a unique source of information for SFRs. At the Superphénix start-up, a series of tests (Transversal Irradiation tests) were devoted to the core flux distribution with measurements in several subassembly positions located from the core center to its periphery. On the other hand, the recent development of neutronic codes has improved accuracy and it is worthwhile to try reproducing these tests. The APOLLO3 code for instance can treat complex geometries without substantial approximations. The Superphénix radial and axial flux profiles are assessed for two Transversal irradiation tests, with a reference Monte Carlo code (TRIPOLI-4) and two deterministic codes, the ERANOS code and its successor the APOLLO-3 code. In a first time, a numerical validation between codes is done to observe the deterministic code bias on the fission rate by comparing the ERANOS and APOLLO-3 evaluations to the TRIPOLI-4 model. Good agreement is seen between codes, and discrepancies between ERANOS and APOLLO-3 remain limited. However, the use of APOLLO-3 eliminates any potential fission rate bias due to the possible compensating errors at the assembly step calculation. An additional survey on the fission rate variations between the JEFF 3.1.1 and the JEFF 3.2 with the same code shows that minor differences are found for the Transversal irradiation tests. It can be concluded that current computational tools are relevant for predicting core flux distribution.

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Section: Transversal Irradiationmentioning

confidence: 99%

Section: Start-up Core: Transversal Irradiation Testsmentioning

confidence: 99%

Section: Stochastic Analysismentioning

confidence: 99%

Section: Numerical Validationmentioning

confidence: 99%

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Flux distribution of the Superphénix start-up core for the validation of neutronic codes

Garcia

Sciora

Kooyman

et al. 2019

Annals of Nuclear Energy

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“…Previous research concerning the Superphénix consisted in the development and validation of the start-up tests with the TRIPOLI-4 Monte Carlo code [8]. Besides the core flux distribution at isothermal conditions has been assessed with multiple codes using different nuclear data [9].…”

Section: Superphénix Start-up Programmentioning

confidence: 99%

Analysis of the Superphenix Start-Up Tests With Apollo-3: From Zero Power Isothermal Conditions to Dynamic Power Transient Analysis

et al. 2021

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Sodium-cooled Fast Reactors (SFRs) remain a potential candidate to meet future energy needs. In addition, the SFRs experimental feedback is considerable, for instance, the French research program has considered experimental facilities including the Superphénix which has emerged as a transition to commercial deployment. In this paper a set of tests from the Superphénix start-up are reanalyzed with new tools, considering APOLLO-3 and TRIPOLI-4 (respectively deterministic and stochastic codes) for neutron physics evaluation, GERMINAL-V2 for the fuel irradiation behavior and CATHARE-3 for the thermal-hydraulics modelling. Neutron physics evaluations are performed for the main control rod worth and the Doppler Effect, both measured under isothermal conditions at Superphénix start-up. A good agreement is obtained for these tests, which were purely neutronic tests. Next, the core temperature distribution is evaluated at nominal conditions, where larger discrepancies are observed. However, these deviations are related to the measurement of the fuel assemblies, which have a larger than expected uncertainty. Finally a transient, consisting of a negative reactivity insertion, is analyzed to assess the dynamic core behavior. A good agreement is obtained during the reactivity insertion, however the thermal-hydraulic model has to be improved, namely the vessel model, which is considered as a 0-D volume.

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Venture financing risk assessment and risk control algorithm for small and medium-sized enterprises in the era of big data

2022

Journal of Intelligent Systems

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The existing risk assessment and control methods of enterprise risk financing have a large error in mobile data, which leads to inaccurate risk assessment results and low-risk optimization control efficiency. In order to improve the accuracy of risk financing risk assessment for small and medium-sized enterprises (SMEs) and risk control optimization efficiency, this article proposes risk assessment and risk control algorithms for SMEs in the era of big data. Through verifying the information of the loan application and supplementing the data during the loan period, invoke the existing enterprise financing risk database, establish the SME venture financing risk assessment model; build the risk evaluation index system according to the characteristics of the enterprise production organization, process characteristics, and the development of the socioeconomic and technical environment; apply the GA–PSO algorithm to the design of the SME risk financing risk control scheme, and complete the SME risk financing risk assessment and risk control. The experimental results show that the risk optimization control efficiency of the control algorithm reaches more than 70%, and the risk assessment accuracy of SMEs reaches over 95%, and the runtime less than 80 ms, with good convergence performance of risk assessment and control, strong risk optimization control ability, and accurate evaluation effect.

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Evaluation of the neutronic Superphenix start-up commissioning tests with TRIPOLI4

Cited by 3 publications

References 10 publications

Flux distribution of the Superphénix start-up core for the validation of neutronic codes

Flux distribution of the Superphénix start-up core for the validation of neutronic codes

Analysis of the Superphenix Start-Up Tests With Apollo-3: From Zero Power Isothermal Conditions to Dynamic Power Transient Analysis

Venture financing risk assessment and risk control algorithm for small and medium-sized enterprises in the era of big data

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