Pregled bibliografske jedinice broj: 1178716
Spent Fuel Dry Storage Loading Plan Based on Uniform Decay Heat Distribution among Casks
Spent Fuel Dry Storage Loading Plan Based on Uniform Decay Heat Distribution among Casks // NENE2021 Conference Proceedings / Cizelj, Leon ; Tekavčič, Matej (ur.).
Ljubljana: Društvo jedrskih strokovnjakov Slovenije | Nuclear Society of Slovenia, 2021. str. 10021- (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1178716 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Spent Fuel Dry Storage Loading Plan Based on Uniform
Decay Heat Distribution among Casks
Autori
Dučkić, Paulina ; Grgić, Davor ; Šadek, Siniša ; Vlahović, Štefica
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
NENE2021 Conference Proceedings
/ Cizelj, Leon ; Tekavčič, Matej - Ljubljana : Društvo jedrskih strokovnjakov Slovenije | Nuclear Society of Slovenia, 2021, 10021-
ISBN
978-961-6207-51-5
Skup
30th International Conference Nuclear Energy for New Europe (NENE 2021)
Mjesto i datum
Bled, Slovenija, 06.09.2021. - 09.09.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
spent fuel dry storage, loading plan optimization, decay heat, cask
Sažetak
For this paper, the optimization of the SFAs arrangement in the casks was performed based on the advanced optimization algorithms such as Differential Evolution, Particle Swarm Optimization, and Sine Cosine Algorithm. The algorithms were adopted for the problem of interest and implemented in the MATLAB code. Each loading campaign was treated separately due to limitations such as minimal cooling time of 5 years in the SFP after a SFA is taken out of the reactor core. The starting time of each campaign and number of relocated elements is the same as in real NEK SFDS project. The decay heats of the SFAs were calculated based on the foreseen operational history using the ORIGEN-S from the SCALE6.2.4 code package. The optimization criterion was a uniformly distributed decay heat among the casks in each loading campaign. The constrains included SFA cooling time and limiting region heat loads. Fitness function was therefore defined as the standard deviation of the total heat loads among the casks. Except for the standard deviation minimization, the results in terms of mean, minimum and maximum cask heat load, as well as the total load in the campaign are also presented.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb