Preliminary conceptual design of a lead–bismuth cooled small reactor (CLEAR-SR)

Wang, Minhuang; Lian, Chao; Li, Yuanye; Wang, Dong; Jiang, Jieqiong; Wu, Yican

doi:10.1016/j.ijhydene.2015.03.097

Cited by 34 publications

(6 citation statements)

References 17 publications

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“…In this study, the data samples were collected according to the full‐scope simulator of China Lead‐based Study Reactor (CLEAR) with the thermal‐hydraulic neutron kinetics structure model, which is an advanced nuclear energy system and optimized by FDS team . Several studies in recent years show the transient operation data provided by the CLEAR is credible …”

Section: Proposed Scnn Fault Diagnosis Methodsmentioning

confidence: 99%

Small‐batch‐size convolutional neural network based fault diagnosis system for nuclear energy production safety with big‐data environment

et al. 2020

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In nuclear energy production, with the continuous innovations and challenges in the big data and the industry 4.0 era, to guarantee the operation safety without the fault and failure will become more complex and intelligent. In this paper, a novel optimized convolutional neural network with small-batch-size processing (SCNN) was proposed and assembled in the nuclear fault diagnosis system. Eleven kinds of normal and fault conditions that include the whole 316 simulator sensor features were used to evaluate the performance of the proposed diagnosis system. The application of batch normalization with SCNN significantly optimized the model validation accuracy and loss under 100 epochs compared with normal operation and adding drop-out operation in same condition. Besides, outstanding diagnosis accuracy was highlighted by the comparison of traditional binary and multiple classification methods. This proposed diagnosis system has achieved more precise diagnosis accuracy and will provide the useful guidance to operators, assisting them to make accurate and rapid decision to ensure nuclear energy production safety. K E Y W O R D Sconvolution layer visualization, convolutional neural network, deep learning, fault diagnosis, nuclear energy production, small-batch-size processing

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Section: Proposed Scnn Fault Diagnosis Methodsmentioning

confidence: 99%

Small‐batch‐size convolutional neural network based fault diagnosis system for nuclear energy production safety with big‐data environment

et al. 2020

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“…Supported by the Strategic Priority Research Program “Future Advanced Fission Energy Program‐ADS Transmutation System” of the Chinese Academy of Sciences (CAS), a large number of basic theory and key technology research have been carried out, and important progress and breakthroughs have been made in the R&D of LFRs 38‐40 . CLEAR (China LEAd‐based Reactor) 2,41‐43 has been designed at this stage, led by Institute of Nuclear Energy Safety Technology (INEST), CAS. The feasibility study report of the national major science and technology infrastructure project CiADS, 44,45 undertaken by the Institute of Modern Physics (IMP), CAS, has been approved by the National Development and Reform Commission in 2018, marking that the device has officially entered the design and construction stage.…”

Section: Lead‐based Reactor Development Status Around the Worldmentioning

confidence: 99%

Review of fuel assembly design in lead‐based fast reactors and research progress in fuel assembly of China initiative accelerator driven system

Sheng

et al. 2021

Int J Energy Res

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Summary Lead‐based fast reactor is one of the most promising fourth‐generation nuclear energy systems. Fuel assembly design is a key technology for the research and development of lead‐based fast reactor. The current status of typical lead‐based reactors and fuel assembly design schemes in the world are reviewed in this paper, and also the key technical parameters and design features of fuel assembly are summarized, with the advantages and disadvantages discussed. A hexagonal fuel assembly that can achieve both “passive” and “active” axial positioning by the gravity of ballast unit and mechanical locking device proposed by the nuclear fuel assembly research group of China initiative Accelerator Driven System project at Institute of Modern Physics has been emphatically introduced. It is expected that this paper can provide certain supporting data and reference solutions for the further design and development of fuel assembly for lead‐based reactor.

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“…It demonstrates excellent safety reliability and operates under low pressure and high temperature using coolants of superior thermodynamic properties. The reactor possesses a compact structure, which is beneficial for miniaturization . In contrast, the steam Rankine cycle, which is a traditional power conversion system, is large in size and possesses a complicated system, posing difficulties in the miniaturization of the nuclear power system.…”

Section: Introductionmentioning

confidence: 99%

“…The reactor possesses a compact structure, which is beneficial for miniaturization. [5][6][7][8] In contrast, the steam Rankine cycle, which is a traditional power conversion system, is large in size and possesses a complicated system, posing difficulties in the miniaturization of the nuclear power system. Moreover, choosing the material of the steam turbine is still a challenge, because it is required the high turbine inlet temperature (TIT) and high inlet pressure when the heat source is over 500°C.…”

Section: Introductionmentioning

confidence: 99%

Design and thermodynamic analysis of supercriticalCO₂reheating recompression Brayton cycle coupled with lead‐based reactor

Kong

et al. 2019

Int J Energy Res

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Summary A reheating process is generally incorporated in a supercritical CO2 (S‐CO2) Brayton cycle to enhance its efficiency. The heat transfer process from the reactor coolant to the working fluid of the power cycle is a key issue encountered when designing reheating power systems for the lead‐based reactor. The traditional reheating system, called RH‐1, utilizes an intermediate coolant circuit. In this paper, a novel reheating system, called RH‐2, is proposed. It eliminates the intermediate coolant circuit and combines the processes of the primary heating and reheating in a single heat exchanger. A thermodynamic analysis of three different systems for the lead‐based reactor integrated with the S‐CO2 power cycle with or without reheating was conducted to evaluate the performance of the proposed system. The results confirmed that the performance of RH‐2 was the best of all the three systems. Under the same reactor conditions, the system efficiency of RH‐2 was greater than those of RH‐1 and the recompression (no reheating) system by 1.2% and 1.7%, respectively. RH‐2 could also maintain higher efficiency when the main operating parameters varied. The efficiency of RH‐2 was higher at different core outlet temperatures and split ratios. The maximum efficiency at optimal maximum pressure of RH‐2 was greater than those of the other two systems. RH‐2 was less sensitive to the variations in the isentropic efficiencies of the components than the other two systems, while the turbine isentropic efficiency demonstrated a significantly higher impact on the system efficiency than the two compressors (approximately 3.8 times).

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Preliminary conceptual design of a lead–bismuth cooled small reactor (CLEAR-SR)

Cited by 34 publications

References 17 publications

Small‐batch‐size convolutional neural network based fault diagnosis system for nuclear energy production safety with big‐data environment

Small‐batch‐size convolutional neural network based fault diagnosis system for nuclear energy production safety with big‐data environment

Review of fuel assembly design in lead‐based fast reactors and research progress in fuel assembly of China initiative accelerator driven system

Design and thermodynamic analysis of supercriticalCO₂reheating recompression Brayton cycle coupled with lead‐based reactor

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Preliminary conceptual design of a lead–bismuth cooled small reactor (CLEAR-SR)

Cited by 34 publications

References 17 publications

Small‐batch‐size convolutional neural network based fault diagnosis system for nuclear energy production safety with big‐data environment

Small‐batch‐size convolutional neural network based fault diagnosis system for nuclear energy production safety with big‐data environment

Review of fuel assembly design in lead‐based fast reactors and research progress in fuel assembly of China initiative accelerator driven system

Design and thermodynamic analysis of supercriticalCO2reheating recompression Brayton cycle coupled with lead‐based reactor

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Design and thermodynamic analysis of supercriticalCO₂reheating recompression Brayton cycle coupled with lead‐based reactor