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Modeling, Simulation and Optimization of Lead-Cooled Fast Reactors.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Modeling, Simulation and Optimization of Lead-Cooled Fast Reactors./
作者:
Al-Dawood, Khaldoon Ali Mohammad.
面頁冊數:
1 online resource (89 pages)
附註:
Source: Masters Abstracts International, Volume: 83-05.
Contained By:
Masters Abstracts International83-05.
標題:
Design specifications. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28747769click for full text (PQDT)
ISBN:
9798494445919
Modeling, Simulation and Optimization of Lead-Cooled Fast Reactors.
Al-Dawood, Khaldoon Ali Mohammad.
Modeling, Simulation and Optimization of Lead-Cooled Fast Reactors.
- 1 online resource (89 pages)
Source: Masters Abstracts International, Volume: 83-05.
Thesis (M.Sc.)--North Carolina State University, 2021.
Includes bibliographical references
The last two decades witnessed an increasing interest in Liquid Metal-cooled Fast Reactor (LMFR) technology. This was associated with the establishment of the Generation IV International Forum (GIF) in 2001. Sodium-cooled Fast Reactors (SFRs) have traditionally received the majority of the attention. Lead-Cooled Fast Reactor (LFR) technology has recently gained more momentum in research and development. This is due to the neutronic, chemical and thermal advantages that lead coolant has that potentially enables safer and more economical plant designs.The computer code LUPINE has been developed at North Carolina State University for the modeling and simulation of LMFRs. The code performs coupled neutronics, thermal hydraulics and thermal expansion calculations. In the first part of this thesis, the capabilities of LUPINE have been extended to enable the modeling and simulation of LFRs. These capabilities include the neutronic and thermal models of lead coolant, gap region model and thermal models of uranium mononitride (UN) fuel. The theory of implementing these capabilities in LUPINE has been presented.The second part of this research investigates the optimization of LMFR designs. To do this, a new general purpose Design and Optimization Methodology (DOM) has been developed. The theory behind this methodology is presented and a Python program was developed to automate the application. The method was applied to the Westinghouse Electric Company LLC (WEC) long-life core LFR with the goal of coming up with a better economically performing core. An optimized core was developed that decreased the Levelized Cost Of Electricity (LCOE) by 2.56 [%], which is a cost savings of 17, 765, 685 [$] over the life of the plant.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798494445919Subjects--Topical Terms:
3683440
Design specifications.
Index Terms--Genre/Form:
542853
Electronic books.
Modeling, Simulation and Optimization of Lead-Cooled Fast Reactors.
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The last two decades witnessed an increasing interest in Liquid Metal-cooled Fast Reactor (LMFR) technology. This was associated with the establishment of the Generation IV International Forum (GIF) in 2001. Sodium-cooled Fast Reactors (SFRs) have traditionally received the majority of the attention. Lead-Cooled Fast Reactor (LFR) technology has recently gained more momentum in research and development. This is due to the neutronic, chemical and thermal advantages that lead coolant has that potentially enables safer and more economical plant designs.The computer code LUPINE has been developed at North Carolina State University for the modeling and simulation of LMFRs. The code performs coupled neutronics, thermal hydraulics and thermal expansion calculations. In the first part of this thesis, the capabilities of LUPINE have been extended to enable the modeling and simulation of LFRs. These capabilities include the neutronic and thermal models of lead coolant, gap region model and thermal models of uranium mononitride (UN) fuel. The theory of implementing these capabilities in LUPINE has been presented.The second part of this research investigates the optimization of LMFR designs. To do this, a new general purpose Design and Optimization Methodology (DOM) has been developed. The theory behind this methodology is presented and a Python program was developed to automate the application. The method was applied to the Westinghouse Electric Company LLC (WEC) long-life core LFR with the goal of coming up with a better economically performing core. An optimized core was developed that decreased the Levelized Cost Of Electricity (LCOE) by 2.56 [%], which is a cost savings of 17, 765, 685 [$] over the life of the plant.
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