東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Modeling evaporation from spent nucl...

Hugo, Bruce Robert.

Linked to FindBook

Google Book

Amazon

博客來

Modeling evaporation from spent nuclear fuel storage pools: A diffusion approach.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling evaporation from spent nuclear fuel storage pools: A diffusion approach./
Author:	Hugo, Bruce Robert.
Description:	88 p.
Notes:	Source: Dissertation Abstracts International, Volume: 77-08(E), Section: B.
Contained By:	Dissertation Abstracts International77-08B(E).
Subject:	Mechanical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10043059
ISBN:	9781339552958

Modeling evaporation from spent nuclear fuel storage pools: A diffusion approach.
Hugo, Bruce Robert.

Modeling evaporation from spent nuclear fuel storage pools: A diffusion approach. - 88 p.

Source: Dissertation Abstracts International, Volume: 77-08(E), Section: B.

Thesis (Ph.D.)--Washington State University, 2015.

Accurate prediction of evaporative losses from light water reactor nuclear power plant (NPP) spent fuel storage pools (SFPs) is important for activities ranging from sizing of water makeup systems during NPP design to predicting the time available to supply emergency makeup water following severe accidents. Existing correlations for predicting evaporation from water surfaces are only optimized for conditions typical of swimming pools. This new approach modeling evaporation as a diffusion process has yielded an evaporation rate model that provided a better fit of published high temperature evaporation data and measurements from two SFPs than other published evaporation correlations. Insights from treating evaporation as a diffusion process include correcting for the effects of air flow and solutes on evaporation rate. An accurate modeling of the effects of air flow on evaporation rate is required to explain the observed temperature data from the Fukushima Daiichi Unit 4 SFP during the 2011 loss of cooling event; the diffusion model of evaporation provides a significantly better fit to this data than existing evaporation models.

ISBN: 9781339552958Subjects--Topical Terms:

649730
Mechanical engineering.

Modeling evaporation from spent nuclear fuel storage pools: A diffusion approach.
LDR:02029nmm a2200277 4500 001 2075842
005 20161028152005.5
008 170521s2015 ||||||||||||||||| ||eng d
020 $a 9781339552958
035 $a (MiAaPQ)AAI10043059
035 $a AAI10043059
040 $a MiAaPQ $c MiAaPQ
100 1 $a Hugo, Bruce Robert. $3 3191264
245 1 0 $a Modeling evaporation from spent nuclear fuel storage pools: A diffusion approach.
300 $a 88 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-08(E), Section: B.
500 $a Adviser: Ronald P. Omberg.
502 $a Thesis (Ph.D.)--Washington State University, 2015.
520 $a Accurate prediction of evaporative losses from light water reactor nuclear power plant (NPP) spent fuel storage pools (SFPs) is important for activities ranging from sizing of water makeup systems during NPP design to predicting the time available to supply emergency makeup water following severe accidents. Existing correlations for predicting evaporation from water surfaces are only optimized for conditions typical of swimming pools. This new approach modeling evaporation as a diffusion process has yielded an evaporation rate model that provided a better fit of published high temperature evaporation data and measurements from two SFPs than other published evaporation correlations. Insights from treating evaporation as a diffusion process include correcting for the effects of air flow and solutes on evaporation rate. An accurate modeling of the effects of air flow on evaporation rate is required to explain the observed temperature data from the Fukushima Daiichi Unit 4 SFP during the 2011 loss of cooling event; the diffusion model of evaporation provides a significantly better fit to this data than existing evaporation models.
590 $a School code: 0251.
650 4 $a Mechanical engineering. $3 649730
650 4 $a Nuclear engineering. $3 595435
690 $a 0548
690 $a 0552
710 2 $a Washington State University. $b Mechanical Engineering. $3 3184956
773 0 $t Dissertation Abstracts International $g 77-08B(E).
790 $a 0251
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10043059