Safety is of paramount importance in nuclear power plants.Accurate and reliable accident diagnosis is essential for ensuring operational safety in reactor systems.The convergence of Industry 4.0 technologies and deep ...Safety is of paramount importance in nuclear power plants.Accurate and reliable accident diagnosis is essential for ensuring operational safety in reactor systems.The convergence of Industry 4.0 technologies and deep learning methods has emerged as a promising approach for improving the operational safety of nuclear energy systems,particularly in fault detection and diagnosis(FDD)applications.This study proposes a novel adaptive accident diagnosis framework tailored for molten salt reactors(MSRs)based on an enhanced residual convolutional neural network(AM-RCNN).The AM-RCNN incorporates an anti-noise module implemented using the soft thresholding method,together with an attention mechanism,to improve robustness.Datasets representing eight distinct operational scenarios were generated using the RELAP5-TMSR simulation tool.An appropriate subset of input features for MSR accident diagnosis was selected using Pearson correlation analysis and random forest importance ranking.The models were subsequently trained,validated,optimized,and tested.Comparative analyses with conventional RCNN and CNN architectures demonstrate the diagnostic advantages of the proposed approach.In addition,the integration of Bayesian optimization further enhances the performance of the AM-RCNN.As a contribution to intelligent monitoring research for MSRs,the proposed method provides reliable decision support for nuclear system operation,particularly in autonomous scenarios.展开更多
Correction to:Nuclear Science and Techniques(2025)36:111 http://gffzzd3cc09b8251d45dfsqu99ouuwwk5x6opf.ffgz.tsg.suse.edu.cn/10.1007/s41365-025-01681-9.In the sentence beginning‘The weights of the parameters used for the…’in this article,the text‘RCSs’should have ...Correction to:Nuclear Science and Techniques(2025)36:111 http://gffzzd3cc09b8251d45dfsqu99ouuwwk5x6opf.ffgz.tsg.suse.edu.cn/10.1007/s41365-025-01681-9.In the sentence beginning‘The weights of the parameters used for the…’in this article,the text‘RCSs’should have read‘SCRs’.In Table 7 of this article,the column header ρ_fuel was incorrect and should have read CPv_fuel.For completeness and transparency,the old incorrect version and the corrected version of Table 7 are displayed below.展开更多
Liquid-containing structures,including steam generators,water-cooling systems,in-containment refueling water storage tanks,suppression tanks,and tritiated water storage facilities,are integral components of nuclear re...Liquid-containing structures,including steam generators,water-cooling systems,in-containment refueling water storage tanks,suppression tanks,and tritiated water storage facilities,are integral components of nuclear reactor systems and are crucial for ensuring operational safety and stability.Traditional seismic analysis methods often struggle to accurately predict the dynamic behavior of such structures,particularly under transient events such as earthquakes.This paper presents a comprehensive study that applies the hybrid Eulerian-Lagrangian method to analyze fluid-structure interactions within these structures.The efficacy of this method for capturing the complex dynamics induced by liquid movement is demonstrated through simulations conducted primarily in a vertical storage tank.A comparative analysis with traditional response-spectrum analysis methods underscores the limitations of conventional approaches,particularly in terms of accounting for nonlinear free-surface motions and dynamic velocity distributions.The structural response of the tank containing liquid calculated using the hybrid Eulerian-Lagrangian method is approximately twice that calculated using the response-spectrum method,whereas in the case of a tank without liquid,the response is the same.Additionally,a high dynamic stress distribution exists near the liquid level of the structure.This study addresses the intricate interplay between structural components and fluid dynamics,thereby extrapolating insights from tanks to enhance safety protocols and design considerations for future nuclear devices.展开更多
Research on the solid-liquid mixing process and its enhancement mechanisms in multi-shaft stirred reactors still face challenges that limit its industrial applications.This work employs the RNG k-εmodel combined with...Research on the solid-liquid mixing process and its enhancement mechanisms in multi-shaft stirred reactors still face challenges that limit its industrial applications.This work employs the RNG k-εmodel combined with the EE-KTGF model to numerically simulate the solid-liquid mixing process within a multi-shaft stirred reactor,yielding satisfactory results when compared to experimental data.Comparative analysis of the solid-liquid mixing performance under four different operational conditions reveals that applying variable speed conditions to the bottom impeller results in a smaller solid concentration gradient,reduced particle settling rates,and an improvement in solid homogeneity by 2.74% to 3.22% compared to other operational conditions.This operational condition enables more effective suspension and uniform distribution of solid particles throughout the reactor,thereby enhancing overall mixing efficiency.Flow fieldanalysis under different operational conditions indicates that applying variable speed to the bottom impeller significantlyimproves flow fieldstability,reduces axial back-mixing,and optimizes the axial distribution of solid particles.Further dynamic mode decomposition of the flowfieldand time series analysis of modal coefficientselucidate a multi-scale synergistic nesting chaos-enhanced mechanism characterized by“macroscopic stability,mesoscopic matching,and microscopic resonance”.This work provides a theoretical foundation for the design and operational optimization of multi-shaft stirred reactors.展开更多
The design and industrial application of autothermal reactors for CO2-to-methanol synthesis are constrained by multi-scale transport,multi-stability,and scale-up challenges,which complicate both modeling and experi...The design and industrial application of autothermal reactors for CO2-to-methanol synthesis are constrained by multi-scale transport,multi-stability,and scale-up challenges,which complicate both modeling and experimental studies.Virtual and Digital Twin approaches provide a pathway toward new autothermal reactors with optimized performance for CO2-to-methanol synthesis.展开更多
Knowing the precise relationship between fuel loading and reactivity is essential for guiding reactor criticality extrapolation and online refueling in molten salt reactors(MSRs).This study aims to explore and explain...Knowing the precise relationship between fuel loading and reactivity is essential for guiding reactor criticality extrapolation and online refueling in molten salt reactors(MSRs).This study aims to explore and explain the linear relationship between reactivity and the reciprocal of uranium concentration in thermal-spectrum MSRs.By applying neutron balance theory,we analyzed the neutron absorption cross sections of various nuclides in single-lattice models with varying fuel concentrations.Our findings reveal a simple linear correlation between reactivity and the reciprocal of uranium concentration,which can be explained from the perspective of nuclear reaction cross sections that adhere to the 1/v law in the thermal neutron spectrum.Furthermore,we identified that the neutron absorption single-group cross sections of structural materials and carrier salts exhibit an approximately linear relationship with the fission single-group cross section of 235 U;similarly,the reciprocal of 235U’s fission cross section exhibits an approximately linear relationship with uranium concentration.This linear relationship deviates as the volume fraction of molten salt increases,due to a greater proportion of neutrons being captured in the resonance energy spectrum.However,it remains valid for molten salt volume fractions up to 25%and demonstrates broad applicability in the physical design and operation of thermal molten salt reactors.展开更多
Molten salt reactors,being the only reactor type among Generation Ⅳ advanced nuclear reactors that utilize liquid fuels,offer inherent safety,high-temperature,and low-pressure operation,as well as the capability for ...Molten salt reactors,being the only reactor type among Generation Ⅳ advanced nuclear reactors that utilize liquid fuels,offer inherent safety,high-temperature,and low-pressure operation,as well as the capability for online fuel reprocessing.However,the fuel-salt flow results in the decay of delayed neutron precursors(DNPs)outside the core,causing fluctuations in the effective delayed neutron fraction and consequently impacting the reactor reactivity.Particularly in accident scenarios—such as a combined pump shutdown and the inability to rapidly scram the reactor—the sole reliance on negative temperature feedback may cause a significant increase in core temperature,posing a threat to reactor safety.To address these problems,this paper introduces an innovative design for a passive fluid-driven suspended control rod(SCR)to dynamically compensate for reactivity fluctuations caused by DNPs flowing with the fuel.The control rod operates passively by leveraging the combined effects of gravity,buoyancy,and fluid dynamic forces,thereby eliminating the need for an external drive mechanism and enabling direct integration within the active region of the core.Using a 150 MWt thorium-based molten salt reactor as the reference design,we develop a mathematical model to systematically analyze the effects of key parameters—including the geometric dimensions and density of the SCR—on its performance.We examine its motion characteristics under different core flow conditions and assess its feasibility for the dynamic compensation of reactivity changes caused by fuel flow.The results of this study demonstrate that the SCR can effectively counteract reactivity fluctuations induced by fuel flow within molten salt reactors.A sensitivity analysis reveals that the SCR’s average density exerts a profound impact on its start-up flow threshold,channel flow rate,resistance to fuel density fluctuations,and response characteristics.This underscores the critical need to optimize this parameter.Moreover,by judiciously selecting the SCR’s length,number of deployed units,and the placement we can achieve the necessary reactivity control while maintaining a favorable balance between neutron economy and heat transfer performance.Ultimately,this paper provides an innovative solution for the passive reactivity control in molten salt reactors,offering significant potential for practical engineering applications.展开更多
Under the dual-carbon background,the technological updating of traditional high-energy-consuming equipment should not be delayed,and the problem of reactor energy consumption should not be ignored.Therefore,this study...Under the dual-carbon background,the technological updating of traditional high-energy-consuming equipment should not be delayed,and the problem of reactor energy consumption should not be ignored.Therefore,this study is based on computational fluid dynamics(CFD)theory to simulate the spiral stirred reactor with different design parameters(distance of paddle from bottom surface to reactor height ratio h1/H,diameter of stirring paddle to reactor diameter ratio Ds/D,length of blade section to reactor height ratio Ls/H).It was found that the reactor designed with lower Ls/H values and higher h1/H,Ds/D values would have smaller power number(Np)values and smaller flow field average velocity.In addition,this study also fitted the correlation equation of Np concerning Reynolds number and h1/H,Ds/D,and Ls/H,and the conclusions of the study can be used as a reference for the design of industrial equipment.展开更多
In response to the accelerating demands of industrial development,the scale-up of stirred reactors has become increasingly prevalent.Multi-shaft stirred reactors have emerged as a promising solution;however,a critical...In response to the accelerating demands of industrial development,the scale-up of stirred reactors has become increasingly prevalent.Multi-shaft stirred reactors have emerged as a promising solution;however,a critical challenge remains in achieving efficient mixing while simultaneously minimizing energy consumption.Here,a novel approach based on differential rotation speeds to optimize mixing performance was proposed.Results demonstrate that a carefully configured rotation speed difference significantly enhances mixing efficiency,reducing mixing time by 17.89% and power consumption by 12.07%.This strategy not only amplifies flow field instability but also minimizes instability discrepancies,promoting a more uniform distribution of vortices across various scales.Furthermore,under this approach,the bottom impeller has the strongest impact on mixing,while the middle and lower impellers synergistically strengthen the weaker mixing regions and facilitate the redistribution of energy in the flow field.This method promotes efficient energy transfer from large-scale to small-scale vortices,ultimately improving overall mixing performance.This work offers a promising avenue for the optimal design and operation of multi-shaft stirred reactors,advancing both efficiency and energy sustainability.展开更多
Electrochemical CO2 reduction(ECR)driven by intermittent renewable energy sources is an emerging technology to achieve net-zero CO2 emissions.Tandem electrochemical CO2 reduction(T-ECR),employs tandem catalys...Electrochemical CO2 reduction(ECR)driven by intermittent renewable energy sources is an emerging technology to achieve net-zero CO2 emissions.Tandem electrochemical CO2 reduction(T-ECR),employs tandem catalysts with synergistic or complementary functions to efficiently convert CO2 into multi-carbon(C2+)products in a succession of reactions within single or sequentially coupled reactors.However,the lack of clear interpretation and systematic understanding of T-ECR mechanisms has resulted in suboptimal current outcomes.This review presents new perspectives and summarizes recent advancements in efficient T-ECR across various scales,including synergistic tandem catalysis at the microscopic scale,relay tandem catalysis at the mesoscopic scale,and tandem reactors at the macroscopic scale.We begin by outlining the principle of tandem catalysis,followed by discuss on tandem catalyst design,the electrode construction,and reactor configuration.Additionally,we address the challenges and prospects of tandem strategies,emphasizing the integration of machine learning,theoretical calculations,and advanced characterization techniques for developing industry-scale CO2 valorization.展开更多
The advancement of clean electricity is positioning electrochemical reactors at the forefront of future electrosynthesis technologies.Solid-state electrolyte(SSE)reactors emerge for their distinctive configurations an...The advancement of clean electricity is positioning electrochemical reactors at the forefront of future electrosynthesis technologies.Solid-state electrolyte(SSE)reactors emerge for their distinctive configurations and ability to produce high-purity fuels and chemicals efficiently without additional purification steps.This marks a substantial development in electrochemical synthesis.In this perspective,we critically examine cutting-edge innovations in SSE devices with particular emphasis on the architectural introduction of core cell components,novel electrochemical cell configurations,and assembly methodologies.The use of SSE reactors is presently undergoing a pivotal transition from fundamental laboratory investigations to large-scale engineering implementations,demonstrating remarkable progress in multiple domains:(1)sustainable synthesis of high-value organic acids(formic and acetic acids),(2)production of critical oxidizers hydrogen peroxide(H2O2)and liquid fuels(ethanol),(3)ammonia(NH3)production,(4)carbon capture technologies,(5)lithium recovery and recycling,and(6)tandem or coupling strategies for high-value-added products.Importantly,the transformative potential in environmental remediation,particularly for airborne pollutant sequestration and advanced wastewater purification,is addressed.Additionally,the innovative architectural blueprints for next-generation SSE stack are presented,aiming to establish a comprehensive framework to guide the transition from laboratory-scale innovation to industrial-scale deployment of SSE devices in the foreseeable future.展开更多
The formation,evolution and modelling of organized flow structures(e.g.,segregated regions and centre-surface vortices) and their destruction in unbaffled stirred tank reactors(UBSTRs) have been a hot research topic i...The formation,evolution and modelling of organized flow structures(e.g.,segregated regions and centre-surface vortices) and their destruction in unbaffled stirred tank reactors(UBSTRs) have been a hot research topic in the field of fluid mixing.In this paper,the relevant researches in the past 30 years were reviewed,focusing on the application of asymmetric mixing.In particular,by drawing on chaotic phenomena in nature and human society(e.g.,kneading-dough,traffic flow,frightened school of fish),we propose a fluid mixing mechanism:squeezing-induced chaotic mixing,and further propose a bionics-imitation-simulation design concept for UBSTRs.This concept is also an important inspiration for the design of other chemical reactors.展开更多
Molten salt reactors(MSRs)are a promising candidate for Generation IV reactor technologies,and the small modular molten salt reactor(SM-MSR),which utilizes low-enriched uranium and thorium fuels,is regarded as a wise ...Molten salt reactors(MSRs)are a promising candidate for Generation IV reactor technologies,and the small modular molten salt reactor(SM-MSR),which utilizes low-enriched uranium and thorium fuels,is regarded as a wise development path to accelerate deployment time.Uncertainty and sensitivity analyses of accidents guide nuclear reactor design and safety analyses.Uncertainty analysis can ascertain the safety margin,and sensitivity analysis can reveal the correlation between accident consequences and input parameters.Loss of forced cooling(LOFC)represents an accident scenario of the SM-MSR,and the study of LOFC could offer useful information to improve physical thermohydraulic and structural designs.Therefore,this study investigates the uncertainty of LOFC consequences and the sensitivity of related parameters.The uncertainty of the LOFC consequences was analyzed using the Monte Carlo method,and multiple linear regression was employed to analyze the sensitivity of the input parameters.The uncertainty and sensitivity analyses showed that the maximum reactor outlet fuel salt temperature was 725.5℃,which is lower than the acceptable criterion,and five important parameters influencing LOFC consequences were identified.展开更多
Leveraging big data signal processing offers a pathway to the development of artificial intelligencedriven equipment.The analysis of fluid flow signals and the characterization of fluid flow behavior are of critical i...Leveraging big data signal processing offers a pathway to the development of artificial intelligencedriven equipment.The analysis of fluid flow signals and the characterization of fluid flow behavior are of critical in two-phase flow studies.Significant research efforts have focused on discerning flow regimes using various signal analysis methods.In this review,recent advances in time series signals analysis algorithms for stirred tank reactors have been summarized,and the detailed methodologies are categorized into the frequency domain methods,time-frequency domain methods,and state space methods.The strengths,limitations,and notable findings of each algorithm are highlighted.Additionally,the interrelationships between these methodologies have also been discussed,as well as the present progress achieved in various applications.Future research directions and challenges are also predicted to provide an overview of current research trends in data mining of time series for analyzing flow regimes and chaotic signals.This review offers a comprehensive summary for extracting and characterizing fluid flow behavior and serves as a theoretical reference for optimizing the characterization of chaotic signals in future research endeavors.展开更多
High flux reactors(HFRs)are a special type of research reactor aimed at providing a high neutron flux.Compared with power reactors and other research reactors,HFRs have unique technical features in terms of reactor co...High flux reactors(HFRs)are a special type of research reactor aimed at providing a high neutron flux.Compared with power reactors and other research reactors,HFRs have unique technical features in terms of reactor core design,irradiation capability,and operating characteristics.They can be applied to the irradiation tests of nuclear fuels and materials,radioisotope production,neutron science,and experiments.This paper reviews HFRs,including their development history,technical features,and application areas,as well as trends in the development of new and advanced HFRs.展开更多
Artificial intelligence has potential for forecasting reactor conditions in the nuclear industry.Owing to economic and security concerns,a common method is to train data generated by simulators.However,achieving a sat...Artificial intelligence has potential for forecasting reactor conditions in the nuclear industry.Owing to economic and security concerns,a common method is to train data generated by simulators.However,achieving a satisfactory performance in practical applications is difficult because simulators imperfectly emulate reality.To bridge this gap,we propose a novel framework called simulation-to-reality domain adaptation(SRDA)for forecasting the operating parameters of nuclear reactors.The SRDA model employs a transformer-based feature extractor to capture dynamic characteristics and temporal dependencies.A parameter predictor with an improved logarithmic loss function is specifically designed to adapt to varying reactor powers.To fuse prior reactor knowledge from simulations with reality,the domain discriminator utilizes an adversarial strategy to ensure the learning of deep domain-invariant features,and the multiple kernel maximum mean discrepancy minimizes their discrepancies.Experiments on neutron fluxes and temperatures from a pressurized water reactor illustrate that the SRDA model surpasses various advanced methods in terms of predictive performance.This study is the first to use domain adaptation for real-world reactor prediction and presents a feasible solution for enhancing the transferability and generalizability of simulated data.展开更多
Paired electrosynthesis has received considerable attention as a consequence of simultaneously synthesizing target products at both cathode and anode,whereas the related synthetic efficiency in batch reactors is still...Paired electrosynthesis has received considerable attention as a consequence of simultaneously synthesizing target products at both cathode and anode,whereas the related synthetic efficiency in batch reactors is still undesirable under certain circumstances.Encouragingly,laminar microfluidic reactor offers prospective options that possess controllable flow characteristics such as enhanced mass transport,precise laminar flow control and the ability to expand production scale progressively.In this comprehensive review,the underlying fundamentals of the paired electrosynthesis are initially summarized,followed by categorizing the paired electrosynthesis including parallel paired electrosynthesis,divergent paired electrosynthesis,convergent paired electrosynthesis,sequential paired electrosynthesis and linear paired electrosynthesis.Thereafter,a holistic overview of microfluidic reactor equipment,integral fundamentals and research methodology as well as channel extension and scale-up strategies is proposed.The established fundamentals and evaluated metrics further inspired the applications of microfluidic reactors in paired electrosynthesis.This work stimulated the overwhelming investigation of mechanism discovery,material screening strategies,and device assemblies.展开更多
Small modular reactor(SMR)belongs to the research forefront of nuclear reactor technology.Nowadays,advancement of intelligent control technologies paves a new way to the design and build of unmanned SMR.The autonomous...Small modular reactor(SMR)belongs to the research forefront of nuclear reactor technology.Nowadays,advancement of intelligent control technologies paves a new way to the design and build of unmanned SMR.The autonomous control process of SMR can be divided into three stages,say,state diagnosis,autonomous decision-making and coordinated control.In this paper,the autonomous state recognition and task planning of unmanned SMR are investigated.An operating condition recognition method based on the knowledge base of SMR operation is proposed by using the artificial neural network(ANN)technology,which constructs a basis for the state judgment of intelligent reactor control path planning.An improved reinforcement learning path planning algorithm is utilized to implement the path transfer decision-makingThis algorithm performs condition transitions with minimal cost under specified modes.In summary,the full range control path intelligent decision-planning technology of SMR is realized,thus provides some theoretical basis for the design and build of unmanned SMR in the future.展开更多
The distillation column with side reactors (SRC) can overcome the temperature/pressure mismatch in the traditional reactive distillation, the column operates at temperature/pressure favorable for vapor-liquid separati...The distillation column with side reactors (SRC) can overcome the temperature/pressure mismatch in the traditional reactive distillation, the column operates at temperature/pressure favorable for vapor-liquid separation, while the reactors operate at temperatures/pressures favorable for reaction kinetics. According to the smooth operation and automatic control problem of the distillation column with side reactors (SRC), the design, simulation calculation and dynamic control of the SCR process for chlorobenzene production are discussed in the paper. Firstly, the mechanism models, the integrated structure optimal design and process simulation systems are established, respectively. And then multivariable control schemes are designed, the controllability of SRC process based on the optimal steady-state integrated structure is explored. The dynamic response performances of closed-loop system against several disturbances are discussed to verify the effectiveness of control schemes for the SRC process. The simulating results show that the control structure using conventional control strategies can effectively overcome feeding disturbances in a specific range.展开更多
Pneumatically agitated slurry reactors,including bubble column reactors and airlift loop reactors(ALRs),are important gas-liquid-solid multiphase reactors.These reactors have been widely applied in many processes,espe...Pneumatically agitated slurry reactors,including bubble column reactors and airlift loop reactors(ALRs),are important gas-liquid-solid multiphase reactors.These reactors have been widely applied in many processes,especially in the biological fermentation and energy chemical industry,due to their low shear stress,good mixing,perfect mass-/heat-transfer properties,and relatively low costs.To further improve the performance of slurry reactors(i.e.,mixing and mass/heat transfer)and to satisfy industrial require-ments(e.g.,temperature control,reduction of back-mixing,and product separation),the process intensi-fication of slurry reactors is essential.This article starts by reviewing the latest advancements in the intensification of mixing and mass/heat transfer in these two types of reactors.It then summarizes process-intensification methods for mixing and separation that allow continuous production in these slurry reactors.Process-intensification technology that integrates directional flow in an ALR with simple solid-liquid separation in a hydrocyclone is recommended for its high efficiency and low costs.This arti-cle also systematically addresses vital considerations and challenges,including flow regime discrimina-tion,gas spargers,solid particle effects,and other concerns in slurry reactors.It introduces the progress of numerical simulation using computational fluid dynamics(CFD)for the rational design of slurry reactors and discusses difficulties in modeling.Finally,it presents conclusions and perspectives on the design of industrial slurry reactors.展开更多
基金supported by the Youth Innovation Promotion Association(YIPA)of the Chinese Academy of Sciences(No.E329290101)。
摘要Safety is of paramount importance in nuclear power plants.Accurate and reliable accident diagnosis is essential for ensuring operational safety in reactor systems.The convergence of Industry 4.0 technologies and deep learning methods has emerged as a promising approach for improving the operational safety of nuclear energy systems,particularly in fault detection and diagnosis(FDD)applications.This study proposes a novel adaptive accident diagnosis framework tailored for molten salt reactors(MSRs)based on an enhanced residual convolutional neural network(AM-RCNN).The AM-RCNN incorporates an anti-noise module implemented using the soft thresholding method,together with an attention mechanism,to improve robustness.Datasets representing eight distinct operational scenarios were generated using the RELAP5-TMSR simulation tool.An appropriate subset of input features for MSR accident diagnosis was selected using Pearson correlation analysis and random forest importance ranking.The models were subsequently trained,validated,optimized,and tested.Comparative analyses with conventional RCNN and CNN architectures demonstrate the diagnostic advantages of the proposed approach.In addition,the integration of Bayesian optimization further enhances the performance of the AM-RCNN.As a contribution to intelligent monitoring research for MSRs,the proposed method provides reliable decision support for nuclear system operation,particularly in autonomous scenarios.
摘要Correction to:Nuclear Science and Techniques(2025)36:111 http://gffzzd3cc09b8251d45dfsqu99ouuwwk5x6opf.ffgz.tsg.suse.edu.cn/10.1007/s41365-025-01681-9.In the sentence beginning‘The weights of the parameters used for the…’in this article,the text‘RCSs’should have read‘SCRs’.In Table 7 of this article,the column header ρ_fuel was incorrect and should have read CPv_fuel.For completeness and transparency,the old incorrect version and the corrected version of Table 7 are displayed below.
基金supported by the Fusion Vacuum Electrophysics Device Design and Development Project(No.Y15HX11706)。
摘要Liquid-containing structures,including steam generators,water-cooling systems,in-containment refueling water storage tanks,suppression tanks,and tritiated water storage facilities,are integral components of nuclear reactor systems and are crucial for ensuring operational safety and stability.Traditional seismic analysis methods often struggle to accurately predict the dynamic behavior of such structures,particularly under transient events such as earthquakes.This paper presents a comprehensive study that applies the hybrid Eulerian-Lagrangian method to analyze fluid-structure interactions within these structures.The efficacy of this method for capturing the complex dynamics induced by liquid movement is demonstrated through simulations conducted primarily in a vertical storage tank.A comparative analysis with traditional response-spectrum analysis methods underscores the limitations of conventional approaches,particularly in terms of accounting for nonlinear free-surface motions and dynamic velocity distributions.The structural response of the tank containing liquid calculated using the hybrid Eulerian-Lagrangian method is approximately twice that calculated using the response-spectrum method,whereas in the case of a tank without liquid,the response is the same.Additionally,a high dynamic stress distribution exists near the liquid level of the structure.This study addresses the intricate interplay between structural components and fluid dynamics,thereby extrapolating insights from tanks to enhance safety protocols and design considerations for future nuclear devices.
基金supported by the Chongqing Natural Science Foundation Innovation and Development Joint Fund Project(CSTB2022NSCQ-LZX0014)Fundamental Research Funds for Central Universities(2022CDJQY-005,2023CDJXY-047)At the same time,this work also received funding from the China Scholarship Council and Young Elite Scientists Sponsorship Program for Doctoral Students by the China Association for Science and Technology(CAST)to Tong Meng.
摘要Research on the solid-liquid mixing process and its enhancement mechanisms in multi-shaft stirred reactors still face challenges that limit its industrial applications.This work employs the RNG k-εmodel combined with the EE-KTGF model to numerically simulate the solid-liquid mixing process within a multi-shaft stirred reactor,yielding satisfactory results when compared to experimental data.Comparative analysis of the solid-liquid mixing performance under four different operational conditions reveals that applying variable speed conditions to the bottom impeller results in a smaller solid concentration gradient,reduced particle settling rates,and an improvement in solid homogeneity by 2.74% to 3.22% compared to other operational conditions.This operational condition enables more effective suspension and uniform distribution of solid particles throughout the reactor,thereby enhancing overall mixing efficiency.Flow fieldanalysis under different operational conditions indicates that applying variable speed to the bottom impeller significantlyimproves flow fieldstability,reduces axial back-mixing,and optimizes the axial distribution of solid particles.Further dynamic mode decomposition of the flowfieldand time series analysis of modal coefficientselucidate a multi-scale synergistic nesting chaos-enhanced mechanism characterized by“macroscopic stability,mesoscopic matching,and microscopic resonance”.This work provides a theoretical foundation for the design and operational optimization of multi-shaft stirred reactors.
基金supported by the National Key R&D Program Plan of China(Grant No.2022YFA1504800)Yulin Innovation Institute of Clean Energy(Grant No.E411020316).
摘要The design and industrial application of autothermal reactors for CO2-to-methanol synthesis are constrained by multi-scale transport,multi-stability,and scale-up challenges,which complicate both modeling and experimental studies.Virtual and Digital Twin approaches provide a pathway toward new autothermal reactors with optimized performance for CO2-to-methanol synthesis.
基金supported by the Youth Innovation Promotion Association of the Chinese Academy of Sciences(No.2020261)the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDA02010000)the Young Potential Program of the Shanghai Institute of Applied Physics,Chinese Academy of Sciences(No.SINAP-YXJH-202412)。
摘要Knowing the precise relationship between fuel loading and reactivity is essential for guiding reactor criticality extrapolation and online refueling in molten salt reactors(MSRs).This study aims to explore and explain the linear relationship between reactivity and the reciprocal of uranium concentration in thermal-spectrum MSRs.By applying neutron balance theory,we analyzed the neutron absorption cross sections of various nuclides in single-lattice models with varying fuel concentrations.Our findings reveal a simple linear correlation between reactivity and the reciprocal of uranium concentration,which can be explained from the perspective of nuclear reaction cross sections that adhere to the 1/v law in the thermal neutron spectrum.Furthermore,we identified that the neutron absorption single-group cross sections of structural materials and carrier salts exhibit an approximately linear relationship with the fission single-group cross section of 235 U;similarly,the reciprocal of 235U’s fission cross section exhibits an approximately linear relationship with uranium concentration.This linear relationship deviates as the volume fraction of molten salt increases,due to a greater proportion of neutrons being captured in the resonance energy spectrum.However,it remains valid for molten salt volume fractions up to 25%and demonstrates broad applicability in the physical design and operation of thermal molten salt reactors.
基金supported by Youth Innovation Promotion Association of Chinese Academy of Sciences(No.2020261)Strategic Priority Research Program of Chinese Academy of Sciences(No.XDA02010000)the Young Potential Program of Shanghai Institute of Applied Physics,Chinese Academy of Sciences(No.SINAP-YXJH-202412).
摘要Molten salt reactors,being the only reactor type among Generation Ⅳ advanced nuclear reactors that utilize liquid fuels,offer inherent safety,high-temperature,and low-pressure operation,as well as the capability for online fuel reprocessing.However,the fuel-salt flow results in the decay of delayed neutron precursors(DNPs)outside the core,causing fluctuations in the effective delayed neutron fraction and consequently impacting the reactor reactivity.Particularly in accident scenarios—such as a combined pump shutdown and the inability to rapidly scram the reactor—the sole reliance on negative temperature feedback may cause a significant increase in core temperature,posing a threat to reactor safety.To address these problems,this paper introduces an innovative design for a passive fluid-driven suspended control rod(SCR)to dynamically compensate for reactivity fluctuations caused by DNPs flowing with the fuel.The control rod operates passively by leveraging the combined effects of gravity,buoyancy,and fluid dynamic forces,thereby eliminating the need for an external drive mechanism and enabling direct integration within the active region of the core.Using a 150 MWt thorium-based molten salt reactor as the reference design,we develop a mathematical model to systematically analyze the effects of key parameters—including the geometric dimensions and density of the SCR—on its performance.We examine its motion characteristics under different core flow conditions and assess its feasibility for the dynamic compensation of reactivity changes caused by fuel flow.The results of this study demonstrate that the SCR can effectively counteract reactivity fluctuations induced by fuel flow within molten salt reactors.A sensitivity analysis reveals that the SCR’s average density exerts a profound impact on its start-up flow threshold,channel flow rate,resistance to fuel density fluctuations,and response characteristics.This underscores the critical need to optimize this parameter.Moreover,by judiciously selecting the SCR’s length,number of deployed units,and the placement we can achieve the necessary reactivity control while maintaining a favorable balance between neutron economy and heat transfer performance.Ultimately,this paper provides an innovative solution for the passive reactivity control in molten salt reactors,offering significant potential for practical engineering applications.
基金supported by the Natural Science Foundation of Shandong Province(ZR2023ZD22)the Major Research and Development Program of Shandong Province(2023CXGC010601).
摘要Under the dual-carbon background,the technological updating of traditional high-energy-consuming equipment should not be delayed,and the problem of reactor energy consumption should not be ignored.Therefore,this study is based on computational fluid dynamics(CFD)theory to simulate the spiral stirred reactor with different design parameters(distance of paddle from bottom surface to reactor height ratio h1/H,diameter of stirring paddle to reactor diameter ratio Ds/D,length of blade section to reactor height ratio Ls/H).It was found that the reactor designed with lower Ls/H values and higher h1/H,Ds/D values would have smaller power number(Np)values and smaller flow field average velocity.In addition,this study also fitted the correlation equation of Np concerning Reynolds number and h1/H,Ds/D,and Ls/H,and the conclusions of the study can be used as a reference for the design of industrial equipment.
基金supported by the National Natural Science Foundation of China (22078030,52021004)National Key Research and Development Project (2019YFC1905802)+4 种基金Key Project of Independent Research Project of State Key Laboratory of Coal Mine Disaster Dynamics and Control (2011DA105287-zd201902)Chongqing Natural Science Foundation Innovation and Development Joint Fund Project (CSTB2022NSCQ-LZX0014)Hubei Three Gorges Laboratory Open/Innovation Fund (SK211009,SK215001)Fundamental Research Funds for Central Universities(2022CDJQY-005)this work also received funding from the China Scholarship Council。
摘要In response to the accelerating demands of industrial development,the scale-up of stirred reactors has become increasingly prevalent.Multi-shaft stirred reactors have emerged as a promising solution;however,a critical challenge remains in achieving efficient mixing while simultaneously minimizing energy consumption.Here,a novel approach based on differential rotation speeds to optimize mixing performance was proposed.Results demonstrate that a carefully configured rotation speed difference significantly enhances mixing efficiency,reducing mixing time by 17.89% and power consumption by 12.07%.This strategy not only amplifies flow field instability but also minimizes instability discrepancies,promoting a more uniform distribution of vortices across various scales.Furthermore,under this approach,the bottom impeller has the strongest impact on mixing,while the middle and lower impellers synergistically strengthen the weaker mixing regions and facilitate the redistribution of energy in the flow field.This method promotes efficient energy transfer from large-scale to small-scale vortices,ultimately improving overall mixing performance.This work offers a promising avenue for the optimal design and operation of multi-shaft stirred reactors,advancing both efficiency and energy sustainability.
摘要Electrochemical CO2 reduction(ECR)driven by intermittent renewable energy sources is an emerging technology to achieve net-zero CO2 emissions.Tandem electrochemical CO2 reduction(T-ECR),employs tandem catalysts with synergistic or complementary functions to efficiently convert CO2 into multi-carbon(C2+)products in a succession of reactions within single or sequentially coupled reactors.However,the lack of clear interpretation and systematic understanding of T-ECR mechanisms has resulted in suboptimal current outcomes.This review presents new perspectives and summarizes recent advancements in efficient T-ECR across various scales,including synergistic tandem catalysis at the microscopic scale,relay tandem catalysis at the mesoscopic scale,and tandem reactors at the macroscopic scale.We begin by outlining the principle of tandem catalysis,followed by discuss on tandem catalyst design,the electrode construction,and reactor configuration.Additionally,we address the challenges and prospects of tandem strategies,emphasizing the integration of machine learning,theoretical calculations,and advanced characterization techniques for developing industry-scale CO2 valorization.
基金support from the Research Grants Council of the Hong Kong Special Administrative Region,China(Project No.PolyU25213824)Hong Kong Polytechnic University(WZ4Q,CDBZ,CE2Y)+3 种基金the National Natural Science Foundation of China(22205187)Shenzhen Municipal Science and Technology Innovation Commission(JCYJ20230807140402006)Department of Science and Technology of Guangdong Province(2023A1515110123,2024A1515012390)MTR Research Funding Scheme(PTU-24028).
摘要The advancement of clean electricity is positioning electrochemical reactors at the forefront of future electrosynthesis technologies.Solid-state electrolyte(SSE)reactors emerge for their distinctive configurations and ability to produce high-purity fuels and chemicals efficiently without additional purification steps.This marks a substantial development in electrochemical synthesis.In this perspective,we critically examine cutting-edge innovations in SSE devices with particular emphasis on the architectural introduction of core cell components,novel electrochemical cell configurations,and assembly methodologies.The use of SSE reactors is presently undergoing a pivotal transition from fundamental laboratory investigations to large-scale engineering implementations,demonstrating remarkable progress in multiple domains:(1)sustainable synthesis of high-value organic acids(formic and acetic acids),(2)production of critical oxidizers hydrogen peroxide(H2O2)and liquid fuels(ethanol),(3)ammonia(NH3)production,(4)carbon capture technologies,(5)lithium recovery and recycling,and(6)tandem or coupling strategies for high-value-added products.Importantly,the transformative potential in environmental remediation,particularly for airborne pollutant sequestration and advanced wastewater purification,is addressed.Additionally,the innovative architectural blueprints for next-generation SSE stack are presented,aiming to establish a comprehensive framework to guide the transition from laboratory-scale innovation to industrial-scale deployment of SSE devices in the foreseeable future.
基金the National Key Research and Development Program of China (2022YFB3504300)the Graduate Research and Innovation Foundation of Chongqing (CYB240045)+1 种基金the Fundamental Research Funds for the Central Universities(2024CDJXY010)the Large-scale Instrument and Equipment Function Development Program of Chongqing University(gnkf2024019) for supporting this work。
摘要The formation,evolution and modelling of organized flow structures(e.g.,segregated regions and centre-surface vortices) and their destruction in unbaffled stirred tank reactors(UBSTRs) have been a hot research topic in the field of fluid mixing.In this paper,the relevant researches in the past 30 years were reviewed,focusing on the application of asymmetric mixing.In particular,by drawing on chaotic phenomena in nature and human society(e.g.,kneading-dough,traffic flow,frightened school of fish),we propose a fluid mixing mechanism:squeezing-induced chaotic mixing,and further propose a bionics-imitation-simulation design concept for UBSTRs.This concept is also an important inspiration for the design of other chemical reactors.
基金supported by the Youth Innovation Promotion Association(YIPA)(No.E329290101)of the Chinese Academy of Sciences。
摘要Molten salt reactors(MSRs)are a promising candidate for Generation IV reactor technologies,and the small modular molten salt reactor(SM-MSR),which utilizes low-enriched uranium and thorium fuels,is regarded as a wise development path to accelerate deployment time.Uncertainty and sensitivity analyses of accidents guide nuclear reactor design and safety analyses.Uncertainty analysis can ascertain the safety margin,and sensitivity analysis can reveal the correlation between accident consequences and input parameters.Loss of forced cooling(LOFC)represents an accident scenario of the SM-MSR,and the study of LOFC could offer useful information to improve physical thermohydraulic and structural designs.Therefore,this study investigates the uncertainty of LOFC consequences and the sensitivity of related parameters.The uncertainty of the LOFC consequences was analyzed using the Monte Carlo method,and multiple linear regression was employed to analyze the sensitivity of the input parameters.The uncertainty and sensitivity analyses showed that the maximum reactor outlet fuel salt temperature was 725.5℃,which is lower than the acceptable criterion,and five important parameters influencing LOFC consequences were identified.
基金the National Natural Science Foundation of China(22078030)the National Key Research and Development Project(2019YFC1905802,2022YFB3504305)+1 种基金the Joint Funds of the National Natural Science Foundation of China(U1802255,CSTB2022NSCQ-LZX0014)the Key Project of Independent Research Project of State Key Laboratory of Coal Mine Disaster Dynamics and Control(2011DA105287-zd201902).
摘要Leveraging big data signal processing offers a pathway to the development of artificial intelligencedriven equipment.The analysis of fluid flow signals and the characterization of fluid flow behavior are of critical in two-phase flow studies.Significant research efforts have focused on discerning flow regimes using various signal analysis methods.In this review,recent advances in time series signals analysis algorithms for stirred tank reactors have been summarized,and the detailed methodologies are categorized into the frequency domain methods,time-frequency domain methods,and state space methods.The strengths,limitations,and notable findings of each algorithm are highlighted.Additionally,the interrelationships between these methodologies have also been discussed,as well as the present progress achieved in various applications.Future research directions and challenges are also predicted to provide an overview of current research trends in data mining of time series for analyzing flow regimes and chaotic signals.This review offers a comprehensive summary for extracting and characterizing fluid flow behavior and serves as a theoretical reference for optimizing the characterization of chaotic signals in future research endeavors.
摘要High flux reactors(HFRs)are a special type of research reactor aimed at providing a high neutron flux.Compared with power reactors and other research reactors,HFRs have unique technical features in terms of reactor core design,irradiation capability,and operating characteristics.They can be applied to the irradiation tests of nuclear fuels and materials,radioisotope production,neutron science,and experiments.This paper reviews HFRs,including their development history,technical features,and application areas,as well as trends in the development of new and advanced HFRs.
基金supported by the Industry-University Cooperation Project in Fujian Province University(No.2023H6006)the State Key Laboratory of Reliability and Intelligence of Electrical Equipment(No.EERI-KF20200005)。
摘要Artificial intelligence has potential for forecasting reactor conditions in the nuclear industry.Owing to economic and security concerns,a common method is to train data generated by simulators.However,achieving a satisfactory performance in practical applications is difficult because simulators imperfectly emulate reality.To bridge this gap,we propose a novel framework called simulation-to-reality domain adaptation(SRDA)for forecasting the operating parameters of nuclear reactors.The SRDA model employs a transformer-based feature extractor to capture dynamic characteristics and temporal dependencies.A parameter predictor with an improved logarithmic loss function is specifically designed to adapt to varying reactor powers.To fuse prior reactor knowledge from simulations with reality,the domain discriminator utilizes an adversarial strategy to ensure the learning of deep domain-invariant features,and the multiple kernel maximum mean discrepancy minimizes their discrepancies.Experiments on neutron fluxes and temperatures from a pressurized water reactor illustrate that the SRDA model surpasses various advanced methods in terms of predictive performance.This study is the first to use domain adaptation for real-world reactor prediction and presents a feasible solution for enhancing the transferability and generalizability of simulated data.
基金supported by the National Natural Science Foundation of China(22178361,22378402,52302310)the International Partnership Project of CAS(039GJHZ2022029GC)+5 种基金the National Key R&D Program of China(2020YFA0710200)the foundation of the Innovation Academy for Green Manufacture Institute,Chinese Academy of Sciences(IAGM2022D07)the China Postdoctoral Science Foundation(2022M722597)QinChuangYuan Cites High-level Innovation and Entrepreneurship Talent Programs(QCYRCXM-2022-335)the Fundamental Research Funds for the Central Universities(G2022KY05111)the Open Project Program of Anhui Province International Research Center on Advanced Building Materials(JZCL2303KF)。
摘要Paired electrosynthesis has received considerable attention as a consequence of simultaneously synthesizing target products at both cathode and anode,whereas the related synthetic efficiency in batch reactors is still undesirable under certain circumstances.Encouragingly,laminar microfluidic reactor offers prospective options that possess controllable flow characteristics such as enhanced mass transport,precise laminar flow control and the ability to expand production scale progressively.In this comprehensive review,the underlying fundamentals of the paired electrosynthesis are initially summarized,followed by categorizing the paired electrosynthesis including parallel paired electrosynthesis,divergent paired electrosynthesis,convergent paired electrosynthesis,sequential paired electrosynthesis and linear paired electrosynthesis.Thereafter,a holistic overview of microfluidic reactor equipment,integral fundamentals and research methodology as well as channel extension and scale-up strategies is proposed.The established fundamentals and evaluated metrics further inspired the applications of microfluidic reactors in paired electrosynthesis.This work stimulated the overwhelming investigation of mechanism discovery,material screening strategies,and device assemblies.
摘要Small modular reactor(SMR)belongs to the research forefront of nuclear reactor technology.Nowadays,advancement of intelligent control technologies paves a new way to the design and build of unmanned SMR.The autonomous control process of SMR can be divided into three stages,say,state diagnosis,autonomous decision-making and coordinated control.In this paper,the autonomous state recognition and task planning of unmanned SMR are investigated.An operating condition recognition method based on the knowledge base of SMR operation is proposed by using the artificial neural network(ANN)technology,which constructs a basis for the state judgment of intelligent reactor control path planning.An improved reinforcement learning path planning algorithm is utilized to implement the path transfer decision-makingThis algorithm performs condition transitions with minimal cost under specified modes.In summary,the full range control path intelligent decision-planning technology of SMR is realized,thus provides some theoretical basis for the design and build of unmanned SMR in the future.
基金Supported by the National Natural Science Foundation of China (61203020, 21276126)the Natural Science Foundation of Jiangsu Province (BK2011795)+1 种基金Jiangsu Province Higher Education Natural Science Foundation (09KJA530004)China Postdoctoral Science Foundation (20100471325)
摘要The distillation column with side reactors (SRC) can overcome the temperature/pressure mismatch in the traditional reactive distillation, the column operates at temperature/pressure favorable for vapor-liquid separation, while the reactors operate at temperatures/pressures favorable for reaction kinetics. According to the smooth operation and automatic control problem of the distillation column with side reactors (SRC), the design, simulation calculation and dynamic control of the SCR process for chlorobenzene production are discussed in the paper. Firstly, the mechanism models, the integrated structure optimal design and process simulation systems are established, respectively. And then multivariable control schemes are designed, the controllability of SRC process based on the optimal steady-state integrated structure is explored. The dynamic response performances of closed-loop system against several disturbances are discussed to verify the effectiveness of control schemes for the SRC process. The simulating results show that the control structure using conventional control strategies can effectively overcome feeding disturbances in a specific range.
基金supported by the National Key Research and Development Program of China(2016YFB0301701)the National Natural Science Foundation of China(21808234,21878318,and 21938009)+3 种基金the DNL Cooperation Fund,Chinese Academy of Sciences(CAS)(DNL201902)the Strategic Priority Research Program of the CAS(XDA21060400)the QIBEBT and Dalian National Laboratory for Clean Energy of the CAS(QIBEBT ZZBS201803 and QIBEBT I201907)the CAS Key Technology Talent Program.
摘要Pneumatically agitated slurry reactors,including bubble column reactors and airlift loop reactors(ALRs),are important gas-liquid-solid multiphase reactors.These reactors have been widely applied in many processes,especially in the biological fermentation and energy chemical industry,due to their low shear stress,good mixing,perfect mass-/heat-transfer properties,and relatively low costs.To further improve the performance of slurry reactors(i.e.,mixing and mass/heat transfer)and to satisfy industrial require-ments(e.g.,temperature control,reduction of back-mixing,and product separation),the process intensi-fication of slurry reactors is essential.This article starts by reviewing the latest advancements in the intensification of mixing and mass/heat transfer in these two types of reactors.It then summarizes process-intensification methods for mixing and separation that allow continuous production in these slurry reactors.Process-intensification technology that integrates directional flow in an ALR with simple solid-liquid separation in a hydrocyclone is recommended for its high efficiency and low costs.This arti-cle also systematically addresses vital considerations and challenges,including flow regime discrimina-tion,gas spargers,solid particle effects,and other concerns in slurry reactors.It introduces the progress of numerical simulation using computational fluid dynamics(CFD)for the rational design of slurry reactors and discusses difficulties in modeling.Finally,it presents conclusions and perspectives on the design of industrial slurry reactors.