Kalman filter-based gap conductance modeling. [PWR; BWR]

Conference · Sat Jan 01 00:00:00 EST 1983

OSTI ID:6104958

Tylee, J L

Geometric and thermal property uncertainties contribute greatly to the problem of determining conductance within the fuel-clad gas gap of a nuclear fuel pin. Accurate conductance values are needed for power plant licensing transient analysis and for test analyses at research facilities. Recent work by Meek, Doerner, and Adams has shown that use of Kalman filters to estimate gap conductance is a promising approach. A Kalman filter is simply a mathematical algorithm that employs available system measurements and assumed dynamic models to generate optimal system state vector estimates. This summary addresses another Kalman filter approach to gap conductance estimation and subsequent identification of an empirical conductance model.

• Research Organization: EG and G Idaho, Inc., Idaho Falls (USA)
• DOE Contract Number: AC07-76ID01570
• OSTI ID: 6104958
• Report Number(s): EGG-M-28682; CONF-830609-35; ON: DE83015121
• Resource Relation: Conference: ANS annual meeting, Detroit, MI, USA, 12 Jun 1983
• Country of Publication: United States
• Language: English

Related Subjects

21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS
BWR TYPE REACTORS
FUEL CANS
FUEL PELLETS
HEAT TRANSFER
PWR TYPE REACTORS
FUEL RODS
MATHEMATICAL MODELS
URANIUM DIOXIDE
ZIRCALOY
ACTINIDE COMPOUNDS
ALLOYS
CHALCOGENIDES
ENERGY TRANSFER
FUEL ELEMENTS
OXIDES
OXYGEN COMPOUNDS
PELLETS
REACTOR COMPONENTS
REACTORS
TIN ALLOYS
URANIUM COMPOUNDS
URANIUM OXIDES
WATER COOLED REACTORS
WATER MODERATED REACTORS
ZIRCONIUM ALLOYS
ZIRCONIUM BASE ALLOYS
210100* - Power Reactors
Nonbreeding
Light-Water Moderated
Boiling Water Cooled
210200 - Power Reactors
Nonbreeding
Light-Water Moderated
Nonboiling Water Cooled