Article
Energy & Fuels
Deepu Jha, Vispi Nevile Karkaria, P. B. Karandikar, R. S. Desai
Summary: Energy is crucial for machines to work according to human needs. Different forms of energy, such as solar energy, wind energy, and geo thermal energy, can be utilized. However, the effective use of energy depends on application requirements, energy converters, energy sources, and energy storage systems. Energy storage devices, such as batteries, fuel cells, and supercapacitors, are needed to store and supply energy as needed. The modeling of hybrid supercapacitors can be a game-changer in the energy sector, combining the characteristics of both batteries and supercapacitors.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Chemistry, Physical
M. A. Hannan, Sayem M. Abu, Ali Q. Al-Shetwi, M. Mansor, M. N. M. Ansari, Kashem M. Muttaqi, Z. Y. Dong
Summary: Environmentally friendly and pollution-free hydrogen cell, battery and supercapacitor hybrid power system has attracted the attention of scientists. This paper presents a quantitative analysis of knowledge carriers in hydrogen energy storage and establishes a hybrid power system. The research findings suggest that integrating hydrogen energy storage with batteries and supercapacitors provides valuable insights into the field's progress and development.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Multidisciplinary Sciences
Zhengxin Zhu, Zaichun Liu, Yichen Yin, Yuan Yuan, Yahan Meng, Taoli Jiang, Qia Peng, Weiping Wang, Wei Chen
Summary: The authors report an electrocatalytic hydrogen gas capacitor with improved specific energy, which can operate in pH-universal aqueous electrolyte solutions and a wide temperature range.
NATURE COMMUNICATIONS
(2022)
Article
Energy & Fuels
Alok Agrawal, Rajesh Gupta
Summary: This paper presents a new Energy Storage Device (ESD) charge controller for integrating multiple hybrid ESD stacks in DC microgrids. The controller effectively handles source-load and voltage fluctuations, while providing system redundancy. Unlike conventional controllers, this algorithm only requires one voltage sensor, simplifying control circuitry and hardware implementation. Simulation and experimental results demonstrate the viability and stability of the proposed controller.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Environmental
Jiali Yu, Zhimin Fan, Fei Yu, Hang Zhao, Pingping Yao, Shengnan Chen, Haiyan Yang, Caizhen Zhu, Jian Xu
Summary: As a unique elemental metallic Dirac material, borophene has shown great potential in electronics due to its increasing mechanical and electronic characteristics. In this study, a reliable method is proposed to explore the application of borophene in flexible electrodes by randomly stacking MXene and borophene flakes. It is found that the insertion of borophene remarkably enhances the energy storage capability and energy output of the hybrid film electrode, showing outstanding specific areal capacitance and excellent cyclic stability.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Green & Sustainable Science & Technology
Ammar Atif Abdalla, Mohamed Shawky El Moursi, Tarek Hussein El-Fouly, Khalifa Hassan Al Hosani
Summary: Clouds passing over solar PV systems cause power fluctuations, which affect power quality. To compensate for these fluctuations, an energy storage system (ESS) with a filtering or smoothing controller is typically used. However, determining the appropriate filter time constant (TF) to alleviate PV power fluctuations is challenging due to the variability in irradiance. This paper introduces a novel power smoothing framework that avoids arbitrary selection of TF values and reduces stress on the ESS by using predictive and adaptive smoothing mechanisms.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Materials Science, Ceramics
Ganesh Koyyada, Burragoni Sravanthi Goud, Mohamed Ouladsmane, Jae Hong Kim, Nam Hai Nguyen Thi, Nam Nguyen Dang
Summary: The demand for high-energy storage supercapacitors with appropriate designs has led to the development of g-C3N4/WO3(H2O)0.33 (GCN/WO) nanostructures, which have been prepared using a simple wet impregnation process. These nanostructures show improved electrochemical storage performance compared to their individual components, with increased specific capacitance and cyclic stability. The positive synergistic effect between GCN and WO in the nanostructures contributes to their enhanced electrochemical capacitor characteristics.
CERAMICS INTERNATIONAL
(2023)
Article
Chemistry, Physical
Kayeon Keum, Dongjoo Park, Mihyeon Park, Yonghui Lee, Hanchan Lee, Hyein Jeong, Jung Wook Kim, Dong-wan Kim, Jeong Sook Ha
Summary: We report the fabrication of an all-vanadium based Li-ion hybrid supercapacitor with improved performance through prelithiation process. The hybrid supercapacitor takes advantage of orthorhombic vanadium oxide nanoparticles and amorphous vanadium phosphate nanosheets implemented with carbon nanotubes as battery-type and capacitive electrode, respectively. After prelithiation, the hybrid supercapacitor demonstrates high electrochemical performance with high capacitance, operation voltage window, energy density, power density, and excellent cycling stability.
JOURNAL OF ALLOYS AND COMPOUNDS
(2022)
Review
Energy & Fuels
Muhammad Zahir Iqbal, Mian Muhammad Faisal, Syeda Ramsha Ali
Summary: Supercapattery devices are attracting attention due to their potential for high energy density without compromising power density. Nanomaterials based on metal oxides, phosphates, phosphides, and sulfides are used to enhance the performance of hybrid energy storage devices. Challenges include increasing energy density while maintaining power density, and utilizing these materials for high-performance energy storage devices.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Prashant Singh, Jagdeep Singh Lather
Summary: This paper proposes a novel power management strategy for power-sharing between battery and supercapacitor energy storage systems to resolve demand-generation differences and DC bus voltage regulation. The strategy involves compensating for PI controller managed hybrid energy storage systems to improve DC bus regulation and reduce battery stress levels. Redirecting unwaged battery currents to supercapacitors for fast compensation enhances battery lifespan. The stability analysis of DC microgrid is also evaluated, with the effectiveness of the proposed strategy confirmed through simulations and hardware-in-loop experimentation on an FPGA-based real-time simulator.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Energy & Fuels
M. Shaban, Magdi A. Mosa, A. A. Ali, K. M. Abdel-Latif
Summary: This paper investigates the behavior of a DC microgrid during fault conditions based on different control techniques adopted for hybrid energy storage systems in DC microgrids. The study finds that power sharing controllers have a considerable effect on the fault response of the battery, supercapacitor, and DC bus voltage. The impact of the voltage balancer on fault magnitude and time constant is also evaluated. Important recommendations for DC microgrid protection schemes are concluded.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Materials Science, Multidisciplinary
Ivan Dedek, Vojtech Kupka, Petr Jakubec, Veronika Sedajova, Kolleboyina Jayaramulu, Michal Otyepka
Summary: This review article focuses on supercapacitor electrode materials based on composites of metal-organic frameworks (MOFs) and conductive polymers (CPs). The combination of MOFs and CPs is an effective strategy to enhance the electrochemical performance of electrode materials. MOFs have unique properties such as high porosity and large surface area, but their low electrical conductivity limits their energy storage applications. CPs, on the other hand, have controllable conductivity and mechanical properties, making them attractive for supercapacitor applications. The review discusses hybridization strategies and provides a summary of recent advances in MOF@CP hybrids.
APPLIED MATERIALS TODAY
(2022)
Article
Energy & Fuels
Firmansyah Nur Budiman, Makbul A. M. Ramli, Ahmad H. Milyani, Houssem R. E. H. Bouchekara, Muhyaddin Rawa, Rifqi Firmansyah Muktiadji, Mustafa M. A. Seedahmed
Summary: This paper investigates the optimal stochastic scheduling of a microgrid with a hybrid energy storage system and evaluates its performance. The effects of adding a supercapacitor on scheduling performance are discussed using a stochastic optimization approach and a test system. The results can be used to assess the advantages and disadvantages of deploying supercapacitors in microgrid scheduling.
Article
Energy & Fuels
Joachim J. Mwambeleko, Thanatchai Kulworawanichpong
Summary: A hybrid tram system with supercapacitors and accelerating contact lines is proposed to reduce supercapacitor bank size and cost. Using accelerating contact lines to supply tram energy demand during acceleration, the proposed system can reduce capacitor bank size by 44%. The significance of accelerating contact lines increases with the number of trams on a route.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Muhammad Zahir Iqbal, Nayyab Amjad, Salma Siddique, Rashid Ali, Umer Aziz, Sikandar Aftab, Meshal Alzaid
Summary: In this study, silver sputtered molybdenum-tungsten-disulfide (MoWS2@Ag) films of different thicknesses were deposited using magnetron sputtering technique. The surface and structural morphology of MoWS2@Ag samples were analyzed, and the results showed that MoWS2@Ag exhibited the best performance in a three-electrode configuration, making it an excellent electrode for hybrid supercapacitors.
JOURNAL OF ENERGY STORAGE
(2022)
Review
Chemistry, Multidisciplinary
Jinbo Pang, Songang Peng, Chongyang Hou, Hongbin Zhao, Yingju Fan, Chen Ye, Nuo Zhang, Ting Wang, Yu Cao, Weijia Zhou, Ding Sun, Kai Wang, Mark H. Rummeli, Hong Liu, Gianaurelio Cuniberti
Summary: Graphene remains of great interest in biomedical applications due to its biocompatibility. This review provides an update on the recent progress in graphene-based sensors for mimicking human senses, including artificial retina for image sensors, artificial eardrums, gas sensors, chemical sensors, and tactile sensors. It also discusses brain-like processors based on conventional transistors and memristor-related neuro-morphic computing, as well as the introduction of brain-machine interface. Additionally, the article summarizes the use of graphene-based artificial muscles as actuators to interact with the physical world. Future opportunities for improving human-like sensors and their clinical applications are highlighted.
Article
Thermodynamics
Xiaoqin Zhi, Guoliang Li, Yixuan Teng, Kai Wang, Limin Qiu
Summary: In this study, a postprocessed stainless-steel wire screen is used as the regenerative material in Stirling type pulse tube refrigerators (SPTR) to improve the cooling performance below 20K. Compared with the conventional stainless-steel wire screen, the postprocessed one is thinner, allowing more of them to be filled in the regenerator to increase the total volume heat capacity. Through simulation and thermodynamic analysis, the cooling performance of the postprocessed stainless-steel wire screen, conventional stainless-steel wire screen, HoCu2, and Er3Ni are compared and studied. Experimental results show that the postprocessed screen can achieve a no-load temperature of 19.19K with an electric power of about 450W and a frequency of 51Hz. It effectively reduces the no-load temperature from 20.67K to 19.19K, improving the performance of SPTR at liquid hydrogen temperatures.
APPLIED THERMAL ENGINEERING
(2023)
Review
Energy & Fuels
Ming Zhang, Dongfang Yang, Jiaxuan Du, Hanlei Sun, Liwei Li, Licheng Wang, Kai Wang
Summary: This paper reviews how to use the latest data-driven algorithms to predict the state of health (SOH) of lithium-ion batteries (LIBs). It proposes a general prediction process that includes data acquisition, data processing and feature selection, and algorithm selection. The advantages, limitations, and potential applications of various processing methods and cutting-edge data-driven algorithms are summarized and compared, providing guidance for researchers in this field.
Review
Energy & Fuels
Ming Zhang, Yanshuo Liu, Dezhi Li, Xiaoli Cui, Licheng Wang, Liwei Li, Kai Wang
Summary: With the increasing application scope and scale of lithium-ion batteries, real-time and accurate monitoring of its state of health plays an important role in ensuring the healthy and stable operation of an energy storage system. Recently, electrochemical impedance spectroscopy has been developed to estimate the state of health quickly and accurately online by measuring battery impedance in a wide frequency range. This paper summarizes the latest impedance spectroscopy measurement technology and its application in estimating the health state of lithium-ion batteries, filling the gap in this aspect and contributing to the further development of this technology.
Article
Energy & Fuels
Jia Wei, Wei Shi, Jingrou Ran, Jing Pu, Jiyang Li, Kai Wang
Summary: This study measured the lifecycle carbon emissions of buildings in 30 Chinese provinces and investigated the drivers and spatial effects of carbon emissions in the building sector. The findings showed a high concentration of carbon emissions in the east and a low concentration in the west of China, along with significant spatial autocorrelation and opposite spatial spillover effects in the materialization and operation stages. Specific policy recommendations were made to help the building sector achieve carbon peaking and neutrality goals.
Article
Thermodynamics
Junjie Teng, Kai Wang, Shaolong Zhu, Shiran Bao, Xiaoqin Zhi, Xiaobin Zhang, Limin Qiu
Summary: This paper evaluates the application effects of three methods for converting hydrogen ortho-para hydrogen saturation on the hydrogen liquefaction process, as well as differences in temperature distribution, conversion heat consumption, and energy consumption indicators. The optimization results show that the continuous conversion method can complete the hydrogen liquefaction process with the lowest energy consumption, reducing energy consumption by 21.8% and 28.7% compared to adiabatic and isothermal conversion methods, respectively. Thermochemical analysis results show that the exergy consumption associated with dissipating conversion heat is lowest for the continuous conversion method, followed by adiabatic conversion, and the highest for isothermal conversion.
Review
Energy & Fuels
Shaojie Tan, Songbai Cheng, Kai Wang, Xiaoxing Liu, Hui Cheng, Jun Wang
Summary: Micro and Small Modular Reactor (MSMR) is an emerging energy technology that meets market demand, safety, efficiency, and sustainability requirements. This paper summarizes the advantages, application scenarios, and advanced technologies supporting MSMR. MSMR can meet the flexible and complex energy market demands, with lower costs compared to other clean energies. The development of MSMR in the residential energy market is being actively pursued in the United States. MSMR has multiple generations of safety characteristics and can be manufactured in factories, reducing construction time, cost, and waste. It has a complete nuclear fuel supply chain and is supported by advanced technologies such as advanced materials, control knowledge, and computational platforms.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Energy & Fuels
Chao Gao, Lijun Huang, Yuhui Feng, Erya Gao, Zhongqing Yang, Kai Wang
Summary: Oil-immersion transformer plays a crucial role in the power system and its reliable operation is vital for safe and economical system functioning. Internal failures can lead to transformer shutdown and damage, impacting the overall operation of the power system. Due to the harsh working conditions with high temperature and pressure, effectively and accurately protecting the transformer from failures is challenging. Existing methods fail to sensitively and accurately detect and protect transformer faults. Therefore, this paper focuses on the research of detection and protection of oil-immersion transformers. Through analyzing calculation results, the relationship between temperature rise of the transformer structure and the ambient temperature is discussed. It is observed that higher ambient temperatures pose greater harm to the equipment, with the high-temperature area primarily concentrated at the pull plate. This provides valuable insights for developing startup strategies in different environments and helps prevent mechanical structure and insulation aging damages caused by temperature.
FRONTIERS IN ENERGY RESEARCH
(2023)
Review
Energy & Fuels
Zhenxiao Yi, Zhaoliang Chen, Kai Yin, Licheng Wang, Kai Wang
Summary: This paper reviews the sensing methods for new energy storage devices such as batteries and supercapacitors, classifying them into embedded and non-embedded sensors. Various measurement methods for important parameters such as voltage, current, temperature, and strain are systematically summarized, with emphasis on the application of optical fiber sensors. The challenges and prospects for these studies are described, aiming to encourage researchers to study safety accident early warning.
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS
(2023)
Review
Energy & Fuels
Ping Ma, Shuhui Cui, Mingshuai Chen, Shengzhe Zhou, Kai Wang
Summary: This paper explores the current research status of household-level short-term load forecasting, summarizes the advantages and disadvantages of various forecasting methods, and provides research ideas for short-term household load forecasting and household energy management. Firstly, it analyzes the latest research results and trends in deep learning load forecasting methods; secondly, it emphasizes the importance of combining probabilistic forecasting methods with deep learning techniques; and further explores device-level and ultra-short-term load forecasting. In addition, it analyzes the importance of short-term household load forecasting for electricity consumption scheduling in energy management systems. Finally, it points out the current research problems and proposes suggestions for future development of short-term household load forecasting.
Review
Energy & Fuels
Xinwei Sun, Yang Zhang, Yongcheng Zhang, Licheng Wang, Kai Wang
Summary: With the increasing application of lithium-ion batteries, accurate estimation of the state of health (SOH) of lithium-ion batteries is crucial for safety and cost reduction. Electrochemical impedance spectroscopy (EIS) is widely used for battery-state estimation due to its nondestructive measurement advantage. This paper summarizes the research progress of lithium-ion SOH estimation based on EIS, including the establishment of quantitative relationship models between characteristic parameters and SOH, and the use of data-driven methods for establishing a quantitative relationship between EIS data and SOH. The advantages, disadvantages, and estimation accuracy of different methods are analyzed and compared.
Article
Energy & Fuels
Ning Ma, Huaixian Yin, Kai Wang
Summary: This paper proposes a method based on the Harris hawks optimization algorithm and long short-term memory recurrent neural networks to improve the prediction accuracy of the remaining useful life of supercapacitors, thus ensuring the safe operation of the entire energy storage system.
Review
Energy & Fuels
Julan Chen, Guangheng Qi, Kai Wang
Summary: Lithium-ion batteries have broad application prospects but developing batteries with high performance and safety remains a challenge. Machine learning has shown great potential in analyzing battery health, fault diagnosis, and optimizing energy management strategies. This article reviews the application of machine learning in lithium battery research and discusses its potential benefits and limitations.
Article
Energy & Fuels
Yanyun Zhao, Gongzheng Sun, Xiangming Hu, Di Xue, Kai Wang
Summary: A highly stable inorganic solidified foam (XISF) was developed using a modified gas-liquid interface method, which showed improved fire-preventing and extinguishing characteristics for preventing coal spontaneous combustion.
Article
Computer Science, Artificial Intelligence
Wenqi Wang, Run Wang, Lina Wang, Zhibo Wang, Aoshuang Ye
Summary: Deep neural networks have achieved remarkable success in various tasks, but they are vulnerable to adversarial examples in both image and text domains. Adversarial examples in the text domain can evade DNN-based text analyzers and pose threats to the spread of disinformation. This paper comprehensively surveys the existing studies on adversarial techniques for generating adversarial texts and the corresponding defense methods, aiming to inspire future research in developing robust DNN-based text analyzers against known and unknown adversarial techniques.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
