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Science China Chemistry 2024年

作者： Jun Luo Ruotong Bao Hongzheng Dong Ye Fu Dongjian Jiang Bo Wang Yuzhan Zheng Qiong Wang Wenjun Luo Zhigang Zou Eco-materials and renewable energy Research center (ERERC) Jiangsu Key Laboratory for Nano Technology National Laboratory of Solid State Microstructures College of Engineering and Applied Sciences Nanjing University National Laboratory of Solid State Microstructures and Department of Physics Nanjing University

Photoelectrocatalytic seawater splitting is a promising low-cost method to produce green hydrogen in a large *** effects of Cl-ions in seawater on the performance of a photoanode have been reported in previous ***,few researches have been done on the roles of Cl-ions in a ***,for the first time,we find that Cl-ions in the electrolyte improve the photocurrent of a Si/In2S3photocathode by 50%at-0.6 *** in-situ X-ray photoelectron spectroscopy （XPS） characterization combined with the time-of-flight secondary-ion mass spectrometry by simulating photoelectrochemical conditions was used to investigate the interface charge transfer *** results suggest that there is an In+32S3–x（OH）2xlayer on the surface of In2S3in the phosphate buffer solution （PBS） electrolyte,which plays a role as an interface charge transfer mediator in the Si/*** In+32S3–x（OH）2xsurface layer becomes In+32S3–x（Cl）2xin the PBS electrolyte with NaCl and accelerates the charge transfer rate at the In2S3/electrolyte *** results offer a new concept of regulating interface charge transfer mediator to enhance the performance of photoelectrocatalytic seawater splitting for hydrogen production.

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生物启发膜在水系镁离子电池阴极的界面工程

Science China Materials 2024年第8期67卷 2558-2566页

作者：洛古子呷苟倩志罗号燃陈昭宇邓江斌王凯鑫何玉婷李英芳王磊张奔郑玉杰李猛 National Innovation center for Industry-Education Integration of energy Storage Technology Xuefeng Mountain Energy Equipment Safety National Observation and Research StationMOE Key Laboratory of Low-Grade Energy Utilization Technologies and SystemsCQU-NUS Renewable Energy Materials&Devices Joint LaboratoryCollege of Energy&Power EngineeringChongqing UniversityChongqing 400044China Chongqing Windmagics Weichu energy Co. Ltd.Chongqing 401121China Southwest Technology and Engineering Research Institute Chongqing 400039China

受到水合镁离子的高脱溶能垒和不良界面水分解行为的限制,水系镁离子电池通常受制于缓慢的离子传输动力学和严重的阴极溶解.为了克服这些障碍,受细胞膜两亲性结构的启发,我们成功构建了一种由疏水性聚(3,4-乙二氧基噻吩)(PEDOT)和亲水性... 详细信息

受到水合镁离子的高脱溶能垒和不良界面水分解行为的限制,水系镁离子电池通常受制于缓慢的离子传输动力学和严重的阴极溶解.为了克服这些障碍,受细胞膜两亲性结构的启发,我们成功构建了一种由疏水性聚(3,4-乙二氧基噻吩)(PEDOT)和亲水性α-MnO_(2)基底组成的MnO_(2)碳基阴极.结合实验和理论计算结果分析,PEDOT层可以有效提高整体电极的导电性,降低水合Mg^(2+)的脱溶能垒,并抑制阴极溶解,从而提高复合电极的性能.因此,本文所制备的复合电极表现出优越的速率性能(58.4mA hg^(-1),3Ag^(-1))和增强的长期循环稳定性(1000个循环后85.92mA hg^(-1),2Ag^(-1)),优于原始的α-MnO_(2)阴极.这项基于生物启发设计理念的工作将为水合镁离子电池的发展提供创新方向.

关键词：镁离子电池复合电极生物启发传输动力学循环稳定性界面工程脱溶能垒

Evaluation of Multi-Temporal-Spatial Scale Adjustment Capability and Cluster Optimization Operation Method for Distribution Networks with Distributed Photovoltaics

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energy Engineering 2024年第9期121卷 2655-2680页

作者： Jiaxin Qiao Yuchen Hao Yingqi Liao Fang Liang Jing Bian Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control&Renewable Energy TechnologyMinistry of EducationJilin132011China State Grid Jiangsu Electric Power Co. Ltd.Power Dispatch Control CenterNanjing210017China State Grid Jiangsu Electric Power Co. Ltd.Nanjing Power Supply BranchPower Dispatch Control CenterNanjing210019China

Themassive integration of high-proportioned distributed photovoltaics into distribution networks poses significant challenges to the flexible regulation capabilities of distribution *** accurately assess the flexible regulation capabilities of distribution stations,amulti-temporal and spatial scale regulation capability assessment technique is proposed for distribution station areas with distributed photovoltaics,considering different geographical locations,coverage areas,and response ***,the multi-temporal scale regulation characteristics and response capabilities of different regulation resources in distribution station areas are analyzed,and a resource regulation capability model is established to quantify the adjustable range of different regulation *** this basis,considering the limitations of line transmission capacity,a regulation capability assessment index for distribution stations is proposed to evaluate their regulation ***,considering different geographical locations and coverage areas,a comprehensive performance index based on electrical distance modularity and active power balance is established,and a cluster division method based on genetic algorithms is proposed to fully leverage the coordination and complementarity among nodes and improve the active power matching degree within ***,an economic optimization model with the objective of minimizing the economic cost of the distribution station is established,comprehensively considering the safety constraints of the distribution network and the regulation constraints of *** model can provide scientific guidance for the economic dispatch of the distribution station ***,case studies demonstrate that the proposed assessment and optimization methods effectively evaluate the regulation capabilities of distribution stations,facilitate the consumption of distributed photovoltaics,and enhance the economic efficiency of th

关键词： Distributed photovoltaic distribution station area assessment of adjustment capacity line transmission capacity economic optimization

Toward carbon neutrality by artificial photosynthesis

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Frontiers in energy 2024年第1期18卷 54-55页

作者： Baowen ZHOU Minhua SHAO Sharif Md.SADAF Shuhui SUN Key Laboratory for Power Machinery and Engineering of the Ministry of Education Research Center of Renewable Synthetic FuelSchool of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200240China Department of Chemical and Biological Engineering Energy InstituteThe Hong Kong University of Science and TechnologyHong KongChina Institut National de la Recherche Scientifique(INRS)-centerÉnergie Matériaux Télécommunications VarennesQuebec J3X 1P7Canada

CO_(2)is not only the primary cause of climate change but also an abundant and recyclable carbon *** breakthrough in emerging disruptive technologies such as carbon capture and storage(CCS),power-to-X,and direct air capture(DAC)is fundamental to achieving carbon *** these technologies,artificial photosynthesis offers an attractive method for recycling carbon dioxide and water into fuels and chemicals using solar energy(CO_(2)+H_(2)O+sunlight→fuels+chemicals).It holds great promise for addressing the critical challenges associated with elevated CO_(2)concentrations and securing a sustainable supply of fuels and chemicals for economic sectors.

关键词： neutral holds breakthrough

Development of advanced anion exchange membrane from the view of the performance of water electrolysis cell

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Journal of energy Chemistry 2024年第3期90卷 348-369,I0009页

作者： Chao Liu Zhen Geng Xukang Wang Wendong Liu Yuwei Wang Qihan Xia Wenbo Li Liming Jin Cunman Zhang Clean energy Automotive Engineering center Tongji UniversityShanghai 201804China School of Automotive Studies Tongji UniversityShanghai 201804China

Green hydrogen produced by water electrolysis combined with renewable energy is a promising alternative to fossil fuels due to its high energy density with zero-carbon *** water electrolysis technologies,the anion exchange membrane(AEM) water electrolysis has gained intensive attention and is considered as the next-generation emerging technology due to its potential advantages,such as the use of low-cost non-noble metal catalysts,the relatively mature stack assembly process,***,the AEM water electrolyzer is still in the early development stage of the kW-level stack,which is mainly attributed to severe performance decay caused by the core component,i.e.,***,the review comprehensively presents the recent progress of advanced AEM from the view of the performance of water electrolysis ***,fundamental principles and critical components of AEM water electrolyzers are introduced,and work conditions of AEM water electrolyzers and AEM performance improvement strategies are *** challenges and perspectives are also analyzed.

关键词： Hydrogen Water electrolysis Anion exchange membrane Electrolysis cell

Customized modulation on plasma uniformity by non-uniform magnetic field in capacitively coupled plasma

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Plasma Science and Technology 2024年第6期26卷 79-87页

作者：王森张权治马方方 Maksudbek YUSUPOV 王友年 School of Physics Dalian University of TechnologyDalian 116024People’s Republic of China Laboratory of Thermal Physics of Multiphase Systems Arifov Institute of Ion-Plasma and Laser TechnologiesAcademy of Sciences of UzbekistanTashkent 100125Uzbekistan Department of Power Supply and renewable energy Sources National Research University TIIAMETashkent 100000Uzbekistan

A two-dimensional fluid model based on COMSOL Multiphysics is developed to investigate the modulation of static magnetic field on plasma homogeneity in a capacitively coupled plasma(CCP)chamber. To generate a static magnetic field, direct current is applied to a circular coil located at the top of the chamber. By adjusting the magnetic field's configuration, which is done by altering the coil current and position, both the plasma uniformity and density can be significantly modulated. In the absence of the magnetic field, the plasma density exhibits an inhomogeneous distribution characterized by higher values at the plasma edge and lower values at the center. The introduction of a magnetic field generated by coils results in a significant increase in electron density near the coils. Furthermore, an increase in the sets of coils improves the uniformity of the plasma. By flexibly adjusting the positions of the coils and the applied current,a substantial enhancement in overall uniformity can be achieved. These findings demonstrate the feasibility of using this method for achieving uniform plasma densities in industrial applications.

关键词： COMSOL capacitively coupled plasma plasma uniformity magnetic field

Preferential Formation of Ethylene via Electrocatalytic CO_(2) Reduction on Mesoporous Cu_(2)O Nanoparticles:Synergistic Effects of Pore Structure Confinement and Surface Amine

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Chinese Journal of Chemistry 2024年第16期42卷 1846-1852页

作者： Haifeng Zhang Dun Li Zhifang Chen Yingying Wang Haoyu Sun Feng Liu Maochang Liu Yiqun Zheng Hongwen Huang School of Chemistry Chemical Engineering and MaterialsJining UniversityQufuShandong 273155China College of Materials Science and Engineering Hunan UniversityChangshaHunan 410082China Health Management Department Shandong Vocational College of Light IndustryZiboShandong 255300China International Research center for renewable energy National Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiotong UniversityXi'anShaanxi 710049China

We present a facile synthetic strategy to create mesoporous Cu_(2)O nanocrystals with tunable pore structures and surface functional groups of amine derivatives for efficient and preferable electrochemical conversion of CO_(2) into *** structural characteristics of theseCu_(2)O nanocrystals can be manipulated using a set of amine derivatives,such as pyridine,4,4'-bipyridine,and hexamethylenetetramine,during the oxidative etching process of Cu nanocrystals by bubbling gaseous oxygen in N,N-dimethylformamide *** amine derivatives not only serve as surface functional groups but also significantly affect the resulting pore *** synergistic effect of pore structure confinement and surface amine functionalization leads to the superb Faradaic efficiency(FE)of 51.9% for C_(2)H_(4),respectively,together with the C_(2)H_(4) partial current density of -209.4 mA·cm^(-2) at -0.8 V *** hydrogen electrode(RHE).The relatively high selectivity towards C_(2)H_(4) was investigated using DFT simulations,where 4,4'-bipyridine functionalized Cu_(2)O seemed to favor the C_(2)H_(4) formation with the low free energy of the *** study provides a feasible strategy to manipulate the pore structure and surface functionalization of mesoporous Cu_(2)O nanocrystals by regulating the oxidative etching process,which sheds light on the rational preparation of high-performance CO_(2)RR electrocatalysts.

关键词： Amines Ethylene Cuprous oxide CO_(2)reduction Mesoporous materials

Evolutionary Optimization Methods for High-Dimensional Expensive Problems:A Survey

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IEEE/CAA Journal of Automatica Sinica 2024年第5期11卷 1092-1105页

作者： MengChu Zhou Meiji Cui Dian Xu Shuwei Zhu Ziyan Zhao Abdullah Abusorrah Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102 USA School of Information and Electronic Engineering Zhejiang Gongshang UniversityHangzhou 310018China School of Intelligent Manufacturing Nanjing University of Science and TechnologyNanjing 210094China Institute of Systems Engineering Macao University of Science and TechnologyMacao 999078China School of Artificial Intelligence and Computer Jiangnan UniversityWuxi 214122China School of Information Science and Engineering Northeastern UniversityShenyang 110819China center of Research Excellence in renewable energy and Power Systems Department of Electrical and Computer EngineeringFaculty of EngineeringKing Abdulaziz UniversityJeddah 21589Saudi Arabia K.A.CARE energy Research and Innovation center King Abdulaziz UniversityJeddah 21589Saudi Arabia

Evolutionary computation is a rapidly evolving field and the related algorithms have been successfully used to solve various real-world optimization *** past decade has also witnessed their fast progress to solve a class of challenging optimization problems called high-dimensional expensive problems(HEPs).The evaluation of their objective fitness requires expensive resource due to their use of time-consuming physical experiments or computer ***,it is hard to traverse the huge search space within reasonable resource as problem dimension *** evolutionary algorithms(EAs)tend to fail to solve HEPs competently because they need to conduct many such expensive evaluations before achieving satisfactory *** reduce such evaluations,many novel surrogate-assisted algorithms emerge to cope with HEPs in recent *** there lacks a thorough review of the state of the art in this specific and important *** paper provides a comprehensive survey of these evolutionary algorithms for *** start with a brief introduction to the research status and the basic concepts of ***,we present surrogate-assisted evolutionary algorithms for HEPs from four main *** also give comparative results of some representative algorithms and application ***,we indicate open challenges and several promising directions to advance the progress in evolutionary optimization algorithms for HEPs.

关键词： computer optimization evolutionary

Intelligent Fractional-Order Controller for SMES Systems in renewable energy-Based Microgrid

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1807-1830页

作者： Aadel M.Alatwi Abualkasim Bakeer Sherif A.Zaid Ibrahem E.Atawi Hani Albalawi Ahmed M.Kassem Electrical Engineering Department Faculty of EngineeringUniversity of TabukTabuk47913Saudi Arabia Industrial Innovation and Robotic center(IIRC) University of TabukTabuk47731Saudi Arabia Department of Electrical Engineering Faculty of EngineeringAswan UniversityAswan81542Egypt renewable energy and Environmental Technology Centre University of TabukTabuk47913Saudi Arabia Electrical Engineering Department Faculty of EngineeringSohag UniversitySohag82524Egypt

An autonomous microgrid that runs on renewable energy sources is presented in this *** has a supercon-ducting magnetic energy storage(SMES)device,wind energy-producing devices,and an energy storage ***,because such microgrids are nonlinear and the energy they create varies with time,controlling and managing the energy inside them is a difficult ***-order proportional integral(FOPI)controller is recommended for the current research to enhance a standalone microgrid’s energy management and *** suggested dedicated control for the SMES comprises two loops:the outer loop,which uses the FOPI to regulate the DC-link voltage,and the inner loop,responsible for regulating the SMES current,is constructed using the intelligent FOPI(iFOPI).The FOPI+iFOPI parameters are best developed using the dandelion optimizer(DO)approach to achieve the optimum *** suggested FOPI+iFOPI controller’s performance is contrasted with a conventional PI controller for variations in wind speed and microgrid *** optimal FOPI+iFOPI controller manages the voltage and frequency of the *** behavior of the microgrid as a reaction to step changes in load and wind speed was measured using the proposed *** simulations were used to evaluate the recommended system’s *** results of the simulations showed that throughout all interruptions,the recommended microgrid provided the load with AC power with a constant amplitude and *** addition,the required load demand was accurately ***,the microgrid functioned incredibly well despite SMES and varying wind *** obtained under identical conditions were compared with and without the best FOPI+iFOPI *** utilizing the optimal FOPI+iFOPI controller with SMES,it was found that the microgrid performed better than the microgrid without SMES.

关键词： Fractional-order proportional integral(FOPI) intelligent controller renewable energy resources superconducting magnetic energy storage optimization

A State-Migration Particle Swarm Optimizer for Adaptive Latent Factor Analysis of High-Dimensional and Incomplete Data

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IEEE/CAA Journal of Automatica Sinica 2024年第11期11卷 2220-2235页

作者： Jiufang Chen Kechen Liu Xin Luo Ye Yuan Khaled Sedraoui Yusuf Al-Turki MengChu Zhou IEEE the College of Computer Science and Technology Chongqing University of Posts and Telecommunications the Department of Computer Science Columbia University the College of Computer and Information Science Southwest University the Department of Electrical and Computer Engineering Faculty of Engineering and also with K.A.CARE Energy Research and Innovation Center King Abdulaziz University the center of Research Excellence in renewable energy and Power Systems the Department of Electrical and Computer Engineering Faculty of Engineering and also with K.A.CARE Energy Research and Innovation Center King Abdulaziz University the Department of Electrical and Computer Engineering New Jersey Institute of Technology

High-dimensional and incomplete(HDI) matrices are primarily generated in all kinds of big-data-related practical applications. A latent factor analysis(LFA) model is capable of conducting efficient representation learning to an HDI matrix,whose hyper-parameter adaptation can be implemented through a particle swarm optimizer(PSO) to meet scalable ***, conventional PSO is limited by its premature issues,which leads to the accuracy loss of a resultant LFA model. To address this thorny issue, this study merges the information of each particle's state migration into its evolution process following the principle of a generalized momentum method for improving its search ability, thereby building a state-migration particle swarm optimizer(SPSO), whose theoretical convergence is rigorously proved in this study. It is then incorporated into an LFA model for implementing efficient hyper-parameter adaptation without accuracy loss. Experiments on six HDI matrices indicate that an SPSO-incorporated LFA model outperforms state-of-the-art LFA models in terms of prediction accuracy for missing data of an HDI matrix with competitive computational ***, SPSO's use ensures efficient and reliable hyper-parameter adaptation in an LFA model, thus ensuring practicality and accurate representation learning for HDI matrices.

关键词： Data science generalized momentum high-dimensional and incomplete (HDI) data hyper-parameter adaptation latent factor analysis (LFA) particle swarm optimization (PSO)