Article
Chemistry, Analytical
Pavel Loktionov, Roman Pichugov, Dmitry Konev, Mikhail Petrov, Alla Pustovalova, Anatoly Antipov
Summary: Optical spectroscopy is a promising method to address the challenge of monitoring the state of charge in vanadium redox flow batteries (VRFB), but existing approaches have limitations, such as limited applicability, uncertainty in accounting for electrolyte imbalance, and applicability restrictions for mixed acid electrolytes. The proposed method based on deconvolution of electrolyte absorption spectra successfully determines the SoC of VRFB and shows good accuracy in determining vanadium concentration and SoC in both half-cells. Additionally, this method allows for obtaining complex spectra, including new complexes in both positive and negative electrolytes.
JOURNAL OF ELECTROANALYTICAL CHEMISTRY
(2022)
Review
Computer Science, Information Systems
Anuoluwapo Aluko, Andy Knight
Summary: With the increase in renewable energy-based generation systems, energy storage systems play a crucial role in offsetting the intermittence and instability associated with renewable energy. Among various energy storage technologies, vanadium-based redox flow batteries (V-RFBs) are considered for large-scale implementations due to their advantages such as zero cross-contamination, scalability, flexibility, long life cycle, and non-toxic operating condition. This review discusses the current state and technical considerations for power system applications of V-RFBs, including the principle of operation, design considerations, and performance optimization strategies.
Article
Energy & Fuels
Zebo Huang, Anle Mu
Summary: This research analyzes the development status of renewable energy, the structure and configuration of the microgrid, and the existing problems of VRFB energy storage. By establishing a VRFB model for electrochemistry and fluid mechanics, designing a novel flow field structure to improve the overall performance of the battery.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Chemistry, Physical
Ting Long, Yong Long, Mei Ding, Zhizhao Xu, Jian Xu, Yiqiong Zhang, Mingliang Bai, Qijun Sun, Gen Chen, Chuankun Jia
Summary: In this study, a large area graphene modified carbon felt electrode was successfully prepared by chemical vapor deposition, which significantly improved the electrochemical performance of vanadium redox flow batteries. The graphene decoration provided abundant active sites for redox reactions, resulting in enhanced voltage efficiency and energy efficiency compared to pristine carbon felt electrodes. Additionally, the high retention value over 600 cycles demonstrates the promising potential of this electrode for next-generation VRFBs.
Article
Chemistry, Multidisciplinary
Deokhyun Hwang, Jong-Wook Ha, Young Soo
Summary: This study demonstrates a simple one-pot process for the preparation of V3.5+ electrolytes from V2O5 using hydrazine monohydrate as a residue-free reducing agent and molybdenum as a homogeneous catalyst. The developed process exhibits scalability and high reproducibility, contributing to the wide application of VRFBs as large-scale and long-term energy storage systems.
JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
(2023)
Review
Energy & Fuels
Zebo Huang, Anle Mu
Summary: Vanadium redox flow batteries (VRFBs) are increasingly utilized in renewable energy storage and microgrid systems, offering a solution to the intermittent nature of renewable energy sources. This research emphasizes on enhancing the overall performance of VRFBs without the need for new component materials.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Chemistry, Physical
Hongbin Sun, Nitin Muralidharan, Ruhul Amin, Vivek Rathod, Pradeep Ramuhalli, Ilias Belharouak
Summary: This work proposes the use of multifrequency ultrasonic waves to estimate the state of charge (SoC) of Li-ion batteries by sensing material changes during charge/discharge. Experimental results show that signal processing algorithms for extracting three ultrasonic features can be used for SoC estimation.
JOURNAL OF POWER SOURCES
(2022)
Article
Energy & Fuels
Xiaobo Zhao, Kangsan Kim, Seunghun Jung
Summary: This paper proposed a new method to improve the accuracy of SOC estimation for VRFBs through data fusion, and experimental results demonstrated the accuracy and reliability of this method.
JOURNAL OF ENERGY STORAGE
(2022)
Review
Energy & Fuels
Hao Wang, S. Ali Pourmousavi, Wen L. Soong, Xinan Zhang, Nesimi Ertugrul
Summary: As one of the most promising large-scale energy storage technologies, vanadium redox flow battery (VRFB) has been widely applied in various fields. To ensure the safety and economic operation of VRFBs, a battery management system (BMS) and an energy management system (EMS) are necessary. This review article focuses on the principles, applications, and modeling techniques related to BMS and EMS operation in VRFBs.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Chemistry, Physical
Jing Xue, Yingqiao Jiang, Zixuan Zhang, Tongxue Zhang, Chao Han, Yongguang Liu, Zhongsheng Chen, Zongbo Xie, Le Zhanggao, Lei Dai, Ling Wang, Zhangxing He
Summary: Transition metal borides, particularly nano-TiB2, are proposed as promising catalysts with excellent electrochemical performance enhancement for the V3+/V2+ redox reaction in vanadium redox flow batteries. The modified cell with TiB2 as the negative catalyst exhibits higher discharge capacity, improved energy efficiency, and excellent rate performance. The voltage efficiency and energy efficiency of the modified cell are significantly higher compared to the pristine cell.
JOURNAL OF ALLOYS AND COMPOUNDS
(2021)
Review
Electrochemistry
Thomas Puleston, Alejandro Clemente, Ramon Costa-Castello, Maria Serra
Summary: This review provides a comprehensive study of the different types of dynamic models and model-based estimation strategies for redox flow batteries. Due to the complexity of obtaining system internal states directly from experimental measures, many proposals have been developed to rely on easily measurable variables using mathematical models. Finally, the remaining challenges and possible future research directions in this field are discussed.
Article
Energy & Fuels
Pedro Fornaro, Thomas Puleston, Paul Puleston, Maria Serra-Prat, Ramon Costa-Castello, Pedro Battaiotto
Summary: This article presents a new insight into parameter estimation of vanadium redox flow batteries (VRFB) and proposes an estimation method suitable for hybrid fast-charging stations. The method utilizes a recursive least square estimation algorithm with forgetting factor, combined with a sliding mode finite-time convergent differentiation algorithm to accurately estimate the battery's state and internal parameters.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Bahman Khaki, Pritam Das
Summary: This paper proposes a new parameter estimation model for Vanadium Redox Flow Battery that is applicable for various charging procedures and shows improved accuracy when compared to previous models. By using two Kalman filter based methods, the discrepancies in the constant voltage mode of the proposed circuit model are reduced significantly. The proposed method can also be extended to estimate the state of charge of the battery with improved accuracy.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Phil-Jacques Alphonse, Mert Tas, Gulsah Elden
Summary: Vanadium redox flow battery systems are safe and efficient energy storage technologies for both conventional and renewable energy sources. This study investigates the effects of gradually increasing electrode porosity on battery performance using numerical models. The results show that increasing porosity in both electrodes leads to better performance and more uniform current distribution, with slight changes in species concentration and pressure drop.
Article
Chemistry, Physical
Maedeh Pahlevaninezhad, Elizabeth Esther Miller, Lixin Yang, Lauren Sarah Prophet, Ashutosh Singh, Thomas Storwick, Majid Pahlevani, Michael A. Pope, Edward P. L. Roberts
Summary: The use of ultrathin graphene coating on Nafion membranes significantly improves the performance of vanadium redox flow batteries, leading to higher energy efficiency (increased by 13%), power density (by 67%), and discharge capacity (by 17.5%) over 100 cycles.
ACS APPLIED ENERGY MATERIALS
(2023)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.