Pregled bibliografske jedinice broj: 43549
How to interpret results of on-line risk monitoring?
How to interpret results of on-line risk monitoring? // Proceedings of the International Conference on Probabilistic Safety Assessment and Management (Vol.2)
Osaka, 2000. str. 1125-1130 (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 43549 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
How to interpret results of on-line risk monitoring?
Autori
Šimić, Zdenko ; Mikuličić, Vladimir ; Vrbanić, Ivan
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Proceedings of the International Conference on Probabilistic Safety Assessment and Management (Vol.2)
/ - Osaka, 2000, 1125-1130
Skup
PSAM5 - International Conference on Probabilistic Safety Assessment and Management
Mjesto i datum
Osaka, Japan, 27.11.2000. - 01.12.2000
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
probabilistic safety assessment; PSA
Sažetak
This paper is presenting empirical comparison between Probabilistic Risk Assessment (PRA) results for the so-called average model and for the realistic model. From the one side average PRA model is regularly used model which is modeling average behavior of the all-modeling parameters during one-year period. On the other side realistic PRA model is considering various plant configurations and other important conditions that are changing during one-year period. Results are obtained for the specific modeling segment related to the plant safety power supply. Diesel generators are regularly maintained during the year, and probability for initiating event loss of offsite power (LOOP) is changing depending on the power grid state and weather conditions. Influences of these two facts are quantified and result presented. Two different PRA models with two different resolutions were used. Both results are showing that even for the worst scenario (DG is maintained during the highest LOOP likelihood) averaged result from realistic model is smaller than result obtained by average model. Results are also showing that extreme instantaneous values are easily avoidable which also reduces cumulative probability.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika