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

Advanced Nuclear Fuel Cycle Transiti...

Carlsen, Robert W.

Linked to FindBook

Google Book

Amazon

博客來

Advanced Nuclear Fuel Cycle Transitions: Optimization, Modeling Choices, and Disruptions.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced Nuclear Fuel Cycle Transitions: Optimization, Modeling Choices, and Disruptions./
Author:	Carlsen, Robert W.
Description:	135 p.
Notes:	Source: Dissertation Abstracts International, Volume: 77-08(E), Section: B.
Contained By:	Dissertation Abstracts International77-08B(E).
Subject:	Nuclear engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10092260
ISBN:	9781339597584

Advanced Nuclear Fuel Cycle Transitions: Optimization, Modeling Choices, and Disruptions.
Carlsen, Robert W.

Advanced Nuclear Fuel Cycle Transitions: Optimization, Modeling Choices, and Disruptions. - 135 p.

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

Thesis (Ph.D.)--The University of Wisconsin - Madison, 2016.

Many nuclear fuel cycle simulators have evolved over time to help understan the nuclear industry/ecosystem at a macroscopic level. Cyclus is one of th first fuel cycle simulators to accommodate larger-scale analysis with it liberal open-source licensing and first-class Linux support. Cyclus also ha features that uniquely enable investigating the effects of modeling choices o fuel cycle simulators and scenarios. This work is divided into thre experiments focusing on optimization, effects of modeling choices, and fue cycle uncertainty.

ISBN: 9781339597584Subjects--Topical Terms:

595435
Nuclear engineering.

Advanced Nuclear Fuel Cycle Transitions: Optimization, Modeling Choices, and Disruptions.
LDR:03489nmm a2200289 4500 001 2075846
005 20161028152006.5
008 170521s2016 ||||||||||||||||| ||eng d
020 $a 9781339597584
035 $a (MiAaPQ)AAI10092260
035 $a AAI10092260
040 $a MiAaPQ $c MiAaPQ
100 1 $a Carlsen, Robert W. $3 3191269
245 1 0 $a Advanced Nuclear Fuel Cycle Transitions: Optimization, Modeling Choices, and Disruptions.
300 $a 135 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-08(E), Section: B.
500 $a Adviser: Paul P.H. Wilson.
502 $a Thesis (Ph.D.)--The University of Wisconsin - Madison, 2016.
520 $a Many nuclear fuel cycle simulators have evolved over time to help understan the nuclear industry/ecosystem at a macroscopic level. Cyclus is one of th first fuel cycle simulators to accommodate larger-scale analysis with it liberal open-source licensing and first-class Linux support. Cyclus also ha features that uniquely enable investigating the effects of modeling choices o fuel cycle simulators and scenarios. This work is divided into thre experiments focusing on optimization, effects of modeling choices, and fue cycle uncertainty.
520 $a Effective optimization techniques are developed for automatically determinin desirable facility deployment schedules with Cyclus. A novel method fo mapping optimization variables to deployment schedules is developed. Thi allows relationships between reactor types and scenario constraints to b represented implicitly in the variable definitions enabling the usage o optimizers lacking constraint support. It also prevents wasting computationa resources evaluating infeasible deployment schedules. Deployed power capacit over time and deployment of non-reactor facilities are also included a optimization variables There are many fuel cycle simulators built with different combinations o modeling choices. Comparing results between them is often difficult. Cyclus flexibility allows comparing effects of many such modeling choices. Reacto refueling cycle synchronization and inter-facility competition among othe effects are compared in four cases each using combinations of fleet of individually modeled reactors with 1-month or 3-month time steps.
520 $a There are noticeable differences in results for the different cases. The larges differences occur during periods of constrained reactor fuel availability This and similar work can help improve the quality of fuel cycle analysi generally There is significant uncertainty associated deploying new nuclear technologie such as time-frames for technology availability and the cost of buildin advanced reactors. Historically, fuel cycle analysis has focused on answerin questions of fuel cycle feasibility and optimality. However, there has no been much work done to address uncertainty in fuel cycle analysis helpin answer questions of fuel cycle robustness. This work develops an demonstrates a methodology for evaluating deployment strategies whil accounting for uncertainty. Techniques are developed for measuring th hedging properties of deployment strategies under uncertainty. Additionally methods for using optimization to automatically find good hedging strategie are demonstrated.
590 $a School code: 0262.
650 4 $a Nuclear engineering. $3 595435
690 $a 0552
710 2 $a The University of Wisconsin - Madison. $b Nuclear Engineering & Engineering Physics. $3 3178536
773 0 $t Dissertation Abstracts International $g 77-08B(E).
790 $a 0262
791 $a Ph.D.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10092260