Uncertainty and sensitivity analysis of filling fraction of pebble bed in pebble bed HTR
Creators
- 1. Institute of Nuclear and New Energy Technology (INET), Collaborative Innovation Center of Advanced Nuclear Energy Technology, Key Laboratory of Advanced Reactor Engineering and Safety of Ministry of Education, Tsinghua University, Beijing (China)
- 2. Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, College of Nuclear Science and Technology, Harbin Engineering University, Harbin (China)
Description
Highlights: • An analysis approach is proposed to conduct SAU analysis of filling fraction of pebble bed core. • The contribution of uncertainty in filling fraction to key parameters of pebble bed core is quantified. • The primary drivers of the uncertainty in the key parameters are identified by sensitivity analysis. • Mechanism of effect of uncertainty in the filling fraction to key parameters is studied in depth. - Abstract: The filling fraction of pebble bed in each small region has some uncertainty, which will contribute to the total uncertainty in the key parameters of pebble bed core, such as power peak, axial offset, keff and so on. In fact, the heavy metal content and graphite content of the corresponding region will change synchronously due to the perturbation of filling fraction but the ratio of atomic number density of moderator to the fuel (carbon–uranium) is still constant. To investigate these effects, the Chinese demonstration plant HTR-PM was selected as the research object and the VSOP code and CUSA package were used to conduct detailed analysis of the influence of the uncertainty in the filling fraction on the HTR-PM output variables of interest, based on the propagation of input uncertainties by using statistical sampling method to calculate uncertainty and sensitivity information from the simulation results. At the same time, uncertainty and sensitivity analysis of uranium loading had also been conducted for comparative analysis to study the mechanism of effect of uncertainty in the filling fraction to key parameters, and therefore only the heavy metal content of the corresponding region changes in the presence of perturbation of uranium loading. Finally, the propagated uncertainty in the power peak, axial offset and keff of HTR-PM core was obtained and the primary drivers of the uncertainty in the key parameters were identified by sensitivity analysis
Availability note (English)
Available from http://dx.doi.org/10.1016/j.nucengdes.2015.05.032Additional details
Identifiers
- DOI
- 10.1016/j.nucengdes.2015.05.032;
- PII
- S0029-5493(15)00256-3;
Publishing Information
- Journal Title
- Nuclear Engineering and Design
- Journal Volume
- 292
- Journal Page Range
- p. 123-132
- ISSN
- 0029-5493
- CODEN
- NEDEAU
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 47030524
- Subject category
- S21: SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS; S42: ENGINEERING;
- Descriptors DEI
- CHINA; DATA COVARIANCES; DEMONSTRATION PLANTS; GRAPHITE; HEAVY METALS; MODERATORS; PEBBLE BED REACTORS; PERTURBATION THEORY; REACTOR CORES; SENSITIVITY ANALYSIS; SIMULATION; URANIUM; V CODES
- Descriptors DEC
- ACTINIDES; ASIA; CARBON; COMPUTER CODES; ELEMENTS; GAS COOLED REACTORS; HOMOGENEOUS REACTORS; METALS; MINERALS; NONMETALS; REACTOR COMPONENTS; REACTORS; SOLID HOMOGENEOUS REACTORS
Optional Information
- Copyright
- Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.