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Criticality analysis of spent fuel s...

Lam, Grace M.

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Criticality analysis of spent fuel storage options using KENO-Va and MCNP.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Criticality analysis of spent fuel storage options using KENO-Va and MCNP./
作者:	Lam, Grace M.
面頁冊數:	149 p.
附註:	Source: Masters Abstracts International, Volume: 34-03, page: 1277.
Contained By:	Masters Abstracts International34-03.
標題:	Nuclear engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1377336

Criticality analysis of spent fuel storage options using KENO-Va and MCNP.
Lam, Grace M.

Criticality analysis of spent fuel storage options using KENO-Va and MCNP. - 149 p.

Source: Masters Abstracts International, Volume: 34-03, page: 1277.

Thesis (M.S.En.E.)--University of Massachusetts Lowell, 1995.

Spent fuel storage designs have taken a new wave of interest in the nuclear industry. With the lack of long-term storage facilities, optimizations of the existing storage pool and examination of feasible spent fuel storage alternatives such as the multi-purpose shipping cask are essential. This work reviews the various spent fuel storage options currently under study. The focus of this work is on the criticality analysis of those designs. The primary effort is on the implementation and verification of the criticality analysis capabilities at the University with the Monte Carlo based codes, KENO-Va and MCNP.Subjects--Topical Terms:

595435
Nuclear engineering.

Criticality analysis of spent fuel storage options using KENO-Va and MCNP.
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100 1 $a Lam, Grace M. $3 3178567
245 1 0 $a Criticality analysis of spent fuel storage options using KENO-Va and MCNP.
300 $a 149 p.
500 $a Source: Masters Abstracts International, Volume: 34-03, page: 1277.
500 $a Supervisor: John R. White.
502 $a Thesis (M.S.En.E.)--University of Massachusetts Lowell, 1995.
520 $a Spent fuel storage designs have taken a new wave of interest in the nuclear industry. With the lack of long-term storage facilities, optimizations of the existing storage pool and examination of feasible spent fuel storage alternatives such as the multi-purpose shipping cask are essential. This work reviews the various spent fuel storage options currently under study. The focus of this work is on the criticality analysis of those designs. The primary effort is on the implementation and verification of the criticality analysis capabilities at the University with the Monte Carlo based codes, KENO-Va and MCNP.
520 $a A series of critical experiments was performed during the late 1970's by The Babcock & Wilcox Company (B&W). There were 21 critical assemblies constructed to simulate a variety of close-packed LWR fuel storage configurations. This series of experiments provided a solid basis of benchmark criticality data. These experiments are examined using KENO-Va along with available cross section libraries and repeated using MCNP as a part of a larger data and code validation effort. In addition, a shipping cask design was examined to provide some insights on the performance of these two computer codes with a wide variety of configurations.
520 $a Although similar results were obtained with both KENO and MCNP, the MCNP results showed less variation in the predicted multiplication factors for a wide range of configurations. This gives greater confidence in predicting k-effective for geometries outside the range covered in the benchmark set. However, the MCNP code is significantly more computationally intensive than KENO. Thus, the choice of which code to use in any specific applications becomes a tradeoff in runtime verses the confidence in the results. Such a choice is often made based on the experience of the user.
590 $a School code: 0111.
650 4 $a Nuclear engineering. $3 595435
650 4 $a Environmental engineering. $3 548583
650 4 $a Energy. $3 876794
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690 $a 0775
690 $a 0791
710 2 $a University of Massachusetts Lowell. $3 1017839
773 0 $t Masters Abstracts International $g 34-03.
790 $a 0111
791 $a M.S.En.E.
792 $a 1995
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1377336