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Progress in Natural Science:Materials International 2024年第3期34卷 606-613页

作者： Muhammad Zubair Khan Amjad Hussain Seung-Bok Lee Tak-Hyoung Lim Rak-Hyun Song department of Materials Science & Engineering Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology Mang Haripur Hydrogen energy research Division Korea Institute of Energy Research department of Advanced energy and System Engineering Korea University of Science and Technology (UST)

In the present study, the operational lifetime of a solid oxide fuel(SOFC) short stack is predicted by investigating the performance degradation of both the short stack and its cells throughout 1000 h at 800°C. The short stack and integral cell voltages are continuously measured during the long-term test, with electrochemical impedance spectroscopy(EIS) conducted every 200 h. The short stack voltage decreased rapidly for the initial 200–300 h and afterwards, it decreased at a slow rate due to the increase in the Ohmic and polarization resistances in the same manner. Scanning electron microscopy results show that there is no delamination or cracking among constituent layers of the short-stack cells. The single degradation effects of the Ni coarsening in the anode, cation migration and surface segregation in cathode and oxide scale growth in metallic interconnect mesh are successfully integrated into a comprehensive lifetime prediction model. The experimentally measured voltage degradation data of the short stack fits well with the developed mathematical model and allows the successful prediction of the lifetime up to 50,000 h.

关键词： Degradation Impedance Lifetime SOFC Stack

Empirical Wavelet Transform Based Method for Identification and Analysis of Sub-synchronous Oscillation Modes Using PMU Data

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Journal of Modern Power systems and Clean energy 2024年第1期12卷 34-40页

作者： Joice G.Philip Jaesung Jung Ahmet Onen the department of energy systems research Ajou UniversitySuwonSouth Korea the department of Electrical and Electronic Engineering Abdullah Gul UniversityKayseri38080Turkey the department of Electrical and Computer Engineering College of EngineeringSultan Qaboos UniversityAl-KhoudMuscatOman

This paper proposes an empirical wavelet transform(EWT)based method for identification and analysis of sub-synchronous oscillation(SSO)modes in the power system using phasor measurement unit(PMU)data.The phasors from PMUs are preprocessed to check for the presence of oscillations.If the presence is established,the signal is decomposed using EWT and the parameters of the mono-components are estimated through Yoshida algorithm.The superiority of the proposed method is tested using test signals with known parameters and simulated using actual SSO signals from the Hami Power Grid in Northwest China.Results show the effectiveness of the proposed EWT-Yoshida method in detecting the SSO and estimating its parameters.

关键词： Empirical wavelet transform(EWT) sub-synchronous oscillation Prony-based method Yoshida algorithm variational mode decomposition phasor measurement unit(PMU)

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Experimental and computational optimization of Prussian blue analogues as high-performance cathodes for sodium-ion batteries:A review

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Journal of energy Chemistry 2024年第6期93卷 627-662,I0015页

作者： Gwangeon Oh Junghoon Kim Shivam Kansara Hyokyeong Kang Hun-Gi Jung Yang-Kook Sun Jang-Yeon Hwang department of energy Engineering Hanyang UniversitySeoul 04763Republic of Korea energy Storage research Center Clean Energy Research DivisionKorea Institute of Science and TechnologySeoul 02792Republic of Korea department of energy Science Sungkyunkwan UniversitySuwon 16419Republic of Korea KIST-SKKU Carbon-Neutral research Center Sungkyunkwan UniversitySuwon 16419Republic of Korea department of Battery Engineering Hanyang UniversitySeoul 04763Republic of Korea

In this review,we discuss the electrochemical properties of Prussian blue(PB)for Na^(+)storage by combining structural engineering and electrolyte modifications.We integrated experimental data and density functional theory(DFT)in sodium-ion battery(SIB)research to refine the atomic arrangements and crystal lattices and introduce substitutions and dopants.These changes affect the lattice stability,intercalation,electronic and ionic conductivities,and electrochemical performance.We unraveled the intricate structure-electrochemical behavior relationship by combining experimental data with computational models,including first-principles calculations.This holistic approach identified techniques for optimizing PB and Prussian blue analog(PBA)structu ral properties for SIBs.We also discuss the tuning of electrolytes by systematically adjusting their composition,concentration,and additives using a combination of molecular dynamics(MD)simulations and DFT computations.Our review offers a comprehensive assessment of strategies for enhancing the electrochemical properties of PB and PBAs through structural engineering and electrolyte modifications,combining experimental insights with advanced computational simulations,and paving the way for next-generation energy storage systems.

关键词： Prussian blue analogs(PBAs) Sodium ion batteries(SIBs) Structural engineering Electrolyte modifications Experiments Density functional theory(DFT)

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Characterization and quantification of multi-field coupling in lithium-ion batteries under mechanical constraints

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Journal of energy Chemistry 2024年第8期95卷 364-379页

作者： Xue Cai Caiping Zhang Zeping Chen Linjing Zhang Dirk Uwe Sauer Weihan Li National Active Distribution Network Technology research Center Beijing Jiaotong University Chair for Electrochemical energy Conversion and Storage systems Institute for Power Electronics and Electrical Drives(ISEA) RWTH Aachen University Center for Ageing Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems(CARL) Juelich Aachen research Alliance JARA-Energy Helmholtz Institute Münster(HI MS)

The safety and durability of lithium-ion batteries under mechanical constraints depend significantly on electrochemical, thermal, and mechanical fields in applications. Characterizing and quantifying the multi-field coupling behaviors requires interdisciplinary efforts. Here, we design experiments under mechanical constraints and introduce an in-situ analytical framework to clarify the complex interaction mechanisms and coupling degrees among multi-physics fields. The proposed analytical framework integrates the parameterization of equivalent models, in-situ mechanical analysis, and quantitative assessment of coupling behavior. The results indicate that the significant impact of pressure on impedance at low temperatures results from the diffusion-controlled step, enhancing kinetics when external pressure, like 180 to 240 k Pa at 10 °C, is applied. The diversity in control steps for the electrochemical reaction accounts for the varying impact of pressure on battery performance across different temperatures. The thermal expansion rate suggests that the swelling force varies by less than 1.60% per unit of elevated temperature during the lithiation process. By introducing a composite metric, we quantify the coupling correlation and intensity between characteristic parameters and physical fields, uncovering the highest coupling degree in electrochemical-thermal fields. These results underscore the potential of analytical approaches in revealing the mechanisms of interaction among multi-fields, with the goal of enhancing battery performance and advancing battery management.

关键词： Lithium-ion battery Muti-field coupling Mechanical constraints Interaction mechanisms Quantitative analysis

Analysis on carbon emission reduction intensity of fuel cell vehicles from a life-cycle perspective

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Frontiers in energy 2024年第1期18卷 16-27页

作者： Ziyuan TENG Chao TAN Peiyuan LIU Minfang HAN Fuel Cell and energy Storage Center Department of Energy and Power EngineeringState Key Laboratory of Control and Simulation of Power Systems and Generation EquipmentTsinghua UniversityBeijing 100084China

The hydrogen fuel cell vehicle is rapidly developing in China for carbon reduction and neutrality.This paper evaluated the life-cycle cost and carbon emission of hydrogen energy via lots of field surveys,including hydrogen production and packing in chlor-alkali plants,transport by tube trailers,storage and refueling in hydrogen refueling stations(HRSs),and application for use in two different cities.It also conducted a comparative study for battery electric vehicles(BEVs)and internal combustion engine vehicles(ICEVs).The result indicates that hydrogen fuel cell vehicle(FCV)has the best environmental performance but the highest energy cost.However,a sufficient hydrogen supply can significantly reduce the carbon intensity and FCV energy cost of the current system.The carbon emission for FCV application has the potential to decrease by 73.1%in City A and 43.8%in City B.It only takes 11.0%–20.1%of the BEV emission and 8.2%–9.8%of the ICEV emission.The cost of FCV driving can be reduced by 39.1%in City A.Further improvement can be obtained with an economical and“greener”hydrogen production pathway.

关键词： hydrogen energy life-cycle assessment(LCA) fuel cell vehicle carbon emission energy cost

Proactive Resilience Enhancement of Power systems with Link Transmission Model-based Dynamic Traffic Assignment Among Electric Vehicles

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CSEE Journal of Power and energy systems 2024年第3期10卷 1320-1330页

作者： Haoyuan Yan Tianyang Zhao Zhanglei Guan energy Electricity research Center Jinan UniversityGuangzhou 510632China energy research Institute Nanyang Technological UniversitySingapore IEEE

The rapid development of electric vehicles(EVs)is strengthening the bi-directional interactions between electric power networks(EPNs)and transportation networks(TNs)while providing opportunities to enhance the resilience of power systems towards extreme events.To quantify the temporal and spatial flexibility of EVs for charging and discharging,a novel dynamic traffic assignment(DTA)problem is proposed.The DTA problem is based on a link transmission model(LTM)with extended charging links,depicting the interaction between EVs and power systems.It models the charging rates as continuous variables by an energy boundary model.To consider the evacuation requirements of TNs and the uncertainties of traffic conditions,the DTA problem is extended to a two-stage distributionally robust version.It is further incorporated into a two-stage distributionally robust unit commitment problem to balance the enhancement of EPNs and the performance of TNs.The problem is reformulated into a mixed-integer linear programming problem and solved by off-the-shelf commercial solvers.Case studies are performed on two test networks.The effectiveness is verified by the numerical results,e.g.,reducing the load shedding amount without increasing the unmet traffic demand.

关键词： Coupled transportation and power network link transmission model resilience enhancement

Implications of electrode modifications in aqueous organic redox flow batteries

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Journal of energy Chemistry 2024年第8期95卷 499-510页

作者： Zahid Manzoor Bhat Mohammad Furquan Muhammad Aurang Zeb Gul Sial Umair Alam Atif Saeed Alzahrani Mohammad Qamar Interdisciplinary research Center for Hydrogen Technologies and Carbon Management(IRC-HTCM) King Fahd University of Petroleum & Minerals(KFUPM) department of Materials Science and Engineering King Fahd University of Petroleum and Minerals Interdisciplinary research Center for Sustainable energy systems(IRC-SES) King Fahd University of Petroleum and Minerals

Aqueous organic redox flow batteries(RFBs) exhibit favorable characteristics, such as tunability, multielectron transfer capability, and stability of the redox active molecules utilized as anolytes and catholytes, making them very viable contenders for large-scale grid storage applications. Considerable attention has been paid on the development of efficient redox-active molecules and their performance optimization through chemical substitutions at various places on the backbone as part of the pursuit for high-performance RFBs. Despite the fact that electrodes are vital to optimal performance, they have not garnered significant attention. Limited research has been conducted on the effects of electrode modifications to improve the performance of RFBs. The primary emphasis has been given on the impact of electrode engineering to augment the efficiency of aqueous organic RFBs. An overview of electron transfer at the electrode–electrolyte interface is provided. The implications of electrode modification on the performance of redox flow batteries, with a particular focus on the anodic and cathodic half-cells separately, are then discussed. In each section, significant discrepancies surrounding the effects of electrode engineering are thoroughly examined and discussed. Finally, we have presented a comprehensive assessment along with our perspectives on the future trajectory.

关键词： Electrode modification Organic redox molecules Outer sphere and inner sphere Redox flow batteries

An Efficient Method to Estimate Admittance of Black-boxed Inverter-based Resources for Varying Operating Points

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CSEE Journal of Power and energy systems 2024年第1期10卷 421-426页

作者： Weihua Zhou Bin Liu Nabil Mohammed Behrooz Bahrani department of Electrical and Computer systems Engineering Monash UniversityMelbourne 3800Australia energy Centre Commonwealth Scientific and Industrial Research Organisation(CSIRO)Newcastle 2300Australia.He is now with the Network Planning DivisionTransgridSydney 2000Australia

Traditional analytical approaches for stability assessment of inverter-based resources(IBRs),often requiring detailed knowledge of IBR internals,become impractical due to IBRs’proprietary nature.Admittance measurements,relying on electromagnetic transient simulation or laboratory settings,are not only time-intensive but also operationally inflexible,since various non-linear control loops make IBRs’admittance models operating-point dependent.Therefore,such admittance measurements must be performed repeatedly when operating point changes.To avoid time-consuming and cumbersome measurements,admittance estimation for arbitrary operating points is highly desirable.However,existing admittance estimation algorithms usually face challenges in versatility,data demands,and accuracy.Addressing this challenge,this letter presents a simple and efficient admittance estimation method for blackboxed IBRs,by utilizing a minimal set of seven operating points to solve a homogeneous linear equation system.Case studies demonstrate this proposed method ensures high accuracy across various types of IBRs.Estimation accuracy is satisfying even when non-negligible measurement errors exist.

关键词： Admittance estimation black box inverterbased resource measurement error operating point

Olive Leaf Disease Detection via Wavelet Transform and Feature Fusion of Pre-Trained Deep Learning Models

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Computers, Materials & Continua 2024年第3期78卷 3431-3448页

作者： Mahmood A.Mahmood Khalaf Alsalem department of Information systems College of Computer and Information SciencesJouf UniversitySakakahKingdom of Saudi Arabia department of Information systems and Technology Faculty of Graduate Studies and ResearchCairo UniversityGizaEgypt

Olive trees are susceptible to a variety of diseases that can cause significant crop damage and economic losses.Early detection of these diseases is essential for effective management.We propose a novel transformed wavelet,feature-fused,pre-trained deep learning model for detecting olive leaf diseases.The proposed model combines wavelet transforms with pre-trained deep-learning models to extract discriminative features from olive leaf images.The model has four main phases:preprocessing using data augmentation,three-level wavelet transformation,learning using pre-trained deep learning models,and a fused deep learning model.In the preprocessing phase,the image dataset is augmented using techniques such as resizing,rescaling,flipping,rotation,zooming,and contrasting.In wavelet transformation,the augmented images are decomposed into three frequency levels.Three pre-trained deep learning models,EfficientNet-B7,DenseNet-201,and ResNet-152-V2,are used in the learning phase.The models were trained using the approximate images of the third-level sub-band of the wavelet transform.In the fused phase,the fused model consists of a merge layer,three dense layers,and two dropout layers.The proposed model was evaluated using a dataset of images of healthy and infected olive leaves.It achieved an accuracy of 99.72%in the diagnosis of olive leaf diseases,which exceeds the accuracy of other methods reported in the literature.This finding suggests that our proposed method is a promising tool for the early detection of olive leaf diseases.

关键词： Olive leaf diseases wavelet transform deep learning feature fusion

Recent progress on electro-sorption technology for lithium recovery from aqueous sources

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Nano research 2024年第4期17卷 2563-2573页

作者： Qichen Lu Peng Liu Tianyi Zhou Ruling Huang Kexin Zhang Lin Hu Rong Liu Zhibo Ren Jinyi Wang Xiaolong Wang Huaneng Clean energy research Institute Beijing 102209China

Lithium is known as the“white petroleum”of the electrification era,and the global demand for lithium grows rapidly with the quick development of new energy industry.The aqueous solutions,such as salt lake brine,underground brine,and seawater,have large lithium reserves,thus this kind of lithium resource has become a research hotspot recently.Compared with other lithium extraction technologies,electro-sorption method shows good prospects for practical applications with advantages in the aspects of efficiency,recovery ratio,cost,and environment.Herein,this review covers recent progress on electro-sorption technology for lithium recovery from aqueous solutions,including the concept illustration,research progress of the applied working electrodes and counter electrodes,and the evaluation indicators of electro-sorption system.Meanwhile,some prospects for the development of this technology are also proposed.We hope this review is beneficial for the construction of high-efficient electrochemical lithium recovery system to achieve an adequate lithium supply in the future.

关键词： lithium extraction electro-sorption technology lithium selective electrode counter electrode system evaluation method