Uncertainty and sensitivity analysis for the simulation of a station blackout scenario in the Jules Horowitz Reactor

Ghione, Alberto; Noel, Brigitte; Vinai, Paolo; Demazière, Christophe

doi:10.1016/j.anucene.2017.02.008

Cited by 21 publications

(6 citation statements)

References 20 publications

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“…Nuclear research reactors are of strategic importance to support commercial nuclear power plants, develop new technologies for future reactors, and produce radioisotopes for research and medical applications (Ghione et al, 2017b). In the core region of these reactors, the coolant usually flows at relatively low pressure (<1 Mpa) in narrow channels that allow highperformance heat removal capabilities within compact volumes.…”

Section: Application In the Nuclear Fieldmentioning

confidence: 99%

Adaptive use of replicated Latin Hypercube Designs for computing Sobol' sensitivity indices

Damblin,

Ghione

2021

Preprint

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As recently pointed out in the field of Global Sensitivity Analysis (GSA) of computer simulations, the use of replicated Latin Hypercube Designs (rLHDs) is a cost-saving alternative to regular Monte Carlo sampling to estimate first-order Sobol' indices. Indeed, two rLHDs are sufficient to compute the whole set of those indices regardless of the number of input variables. This relies on a permutation trick which, however, only works within the class of estimators called Oracle 2. In the present paper, we show that rLHDs are still beneficial to another class of estimators, called Oracle 1, which often outperforms Oracle 2 for estimating small and moderate indices. Even though unlike Oracle 2 the computation cost of Oracle 1 depends on the input dimension, the permutation trick can be applied to construct an averaged (triple) Oracle 1 estimator whose great accuracy is presented on a numerical example.Thus, we promote an adaptive rLHDs-based Sobol' sensitivity analysis where the first stage is to compute the whole set of first-order indices by Oracle 2. If needed, the accuracy of small and moderate indices can then be reevaluated by the averaged Oracle 1 estimators. This strategy, cost-saving and guaranteeing the accuracy of estimates, is applied to a computer model from the nuclear field.

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Section: Application In the Nuclear Fieldmentioning

confidence: 99%

Adaptive use of replicated Latin Hypercube Designs for computing Sobol' sensitivity indices

Damblin,

Ghione

2021

Preprint

Self Cite

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“…Although some progress has been made on the SBLOCA uncertainty analysis of NPPs, the previous research still has some imperfections. In the process of researching the uncertainties and sensitivities of the input parameters, many scholars usually first studied the uncertainties and then carried out a sensitivity analysis (Perez et al, 2011;Gupta et al, 2013;Ghione et al, 2017;Sanchez-Saez et al, 2017;Wang et al, 2017Wang et al, , 2019Sanchez-Saez et al, 2018). This order can share the same set of sampling parameters, which saves the sampling cost.…”

Section: Introductionmentioning

confidence: 99%

“…The output of steady state may be introduced into the relationship even if the initial values are independent of each other. Some work only analyzed the initial parameters and the transient output and obtain the relevance between them (Ghione et al, 2017;Deng et al, 2019). Such conclusions only reflect the relevance between inputs and outputs from "user-input" to "transient computations, " rather than the relevance between the actual physical process.…”

Section: Introductionmentioning

confidence: 99%

An Improved Best Estimate Plus Uncertainty Method for Small-Break Loss-of-Coolant Accident in Pressurized Water Reactor

Sun

Zhang

et al. 2020

Front. Energy Res.

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Best estimate plus uncertainty (BEPU) analysis method has been widely used to analyze various transient accidents of pressurized water reactor (PWR). However, the traditional BEPU method has some limitations: (1) The input parameters are not clearly defined, resulting in inaccurate conclusions in the sensitivity analysis. (2) The uncertainty quantification and sensitivity analysis usually share the same set of samples, but they have different requirements for the sample size. In this work, an improved BEPU method is proposed, which can alleviate the above defects. The improved BEPU method possesses the following two characteristics: (1) The sensitivity analysis is performed for the steady-state and transient calculation, respectively. It provides more comprehensive results than does the traditional BEPU method. (2) The sensitivity analysis is performed before the uncertainty analysis to reduce the number of uncertainty analysis inputs. A small-break loss-of-coolant accident (SBLOCA) is simulated by Reactor Excursion and Leak Analysis Program (RELAP) 5 to verify the accuracy and applicability of the improved BEPU method. By the sensitivity analysis, the coolant pump inlet roughness, main flow rate, core heat channel temperature, break area, and PRZ pressure have moderate or higher relationships with the peak core outlet temperature. The fission product yield factor has a moderate positive relationship with the peak cladding temperature (PCT). The sensitivity analysis by the improved BEPU method shows that the peak core outlet temperature has strong relationships with main flow rate, core heat channel temperature, and PRZ pressure, which is not captured by the traditional BEPU method. As a result, it is more reasonable to take steady-state parameters as inputs in the sensitivity analysis of transient. Only those parameters with high correlation coefficients are sampled for uncertainty analysis. Meanwhile, the results of the uncertainty analysis obtained by the improved BEPU are consistent with the results of the traditional method. Neither the PCT nor the peak core outlet temperature will exceed their limits. The results illustrate that the improved BEPU method can reduce the size of samples but maintains the desired accuracy.

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“…Sensitivity analysis can help understanding of the relative influence of input parameters on the outputs [17]. In the field of energy efficiency, sensitivity analysis can be significantly useful for selecting the most appropriate energy efficient measures and balancing the energy-saving effect and economic benefits [18,19]. Previous research mainly focused on the suitability of different PEEEMs in specific climate regions, while the optimum combinations of various PEEEMs in different climate regions were seldom concerned [20].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Passive Envelop Energy Efficient Measures for Office Buildings in Different Climate Regions of China Based on Modified Sensitivity Analysis

Wang

Zhao

2018

Sustainability

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With the growing desire for new buildings and better indoor comfort, the amount of energy consumption of office buildings in China is increasing rapidly, which will lead to the great challenge for energy supply and sustainable development. Building passive envelop energy efficient measures (PEEEMs), mainly including exterior wall insulation, roof insulation, different glazing types, and shading system, were widely applied. However, the specific energy efficient performance of PEEEMs was various in different climate conditions that have not been evaluated clearly yet. The priority order of PEEEMs was not recommended in relative standards. The economic benefits cannot be considered synchronously with PEEEMs optimization. This paper modified the sensitivity analysis to fit the building energy efficiency evaluation. By combining the modified method with a simulation tool, the energy efficiency and economic effects of PEEEMs of office buildings in various climate regions can be considered at the same time. Four case buildings in Shenyang, Tianjin, Ningbo, and Shenzhen were proved to reach the energy-saving potentials of 9.44%, 7.75%, 20.87%, and 13.27% respectively, with the payback period of no more than 1.5 years. Finally, the recommended application priority rankings and the recommended ranges of thermal performance properties of PEEEMs in the four typical climate regions were presented.

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Uncertainty and sensitivity analysis for the simulation of a station blackout scenario in the Jules Horowitz Reactor

Cited by 21 publications

References 20 publications

Adaptive use of replicated Latin Hypercube Designs for computing Sobol' sensitivity indices

Adaptive use of replicated Latin Hypercube Designs for computing Sobol' sensitivity indices

An Improved Best Estimate Plus Uncertainty Method for Small-Break Loss-of-Coolant Accident in Pressurized Water Reactor

Optimization of Passive Envelop Energy Efficient Measures for Office Buildings in Different Climate Regions of China Based on Modified Sensitivity Analysis

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