Article
Thermodynamics
Yuzhi Ke, Baotong Zhang, Yafeng Bai, Wei Yuan, Jinguang Li, Ziang Liu, Xiaoqing Su, Shiwei Zhang, Xinrui Ding, Zhenping Wan, Yong Tang, Feikun Zhou
Summary: A bubble-derived concept for contour regeneration of flow channel is developed to address the issues of carbon dioxide (CO2) management and reactant homogeneity in a direct methanol fuel cell (DMFC). The simulation results indicate that this renewed channel shows a lower momentum loss and uniform reactant distribution. The cell based on the renewed design produces a peak power density of 37.07 mW cm-2 at a flow rate of 1 mL min-1 and a methanol concentration of 6 M.
Article
Chemistry, Physical
Wu Yujing, Zhou Hongxiu, Zhang Ao, Zhao Leqing
Summary: The research shows that flowing electrode direct methanol fuel cell (FEDMFC) effectively reduces methanol crossover rate while maintaining high power densities. Increasing flow rate can decrease crossover rate but will affect efficiency and stability, with optimal flow rate controlled at 1-3 sccm.
JOURNAL OF POWER SOURCES
(2022)
Article
Mechanics
Alessio Innocenti, Alice Jaccod, Stephane Popinet, Sergio Chibbaro
Summary: The study investigates bubble-induced turbulence through numerical simulations, comparing results with experiments and previous simulations to assess the accuracy of the model. Analysis reveals that the energy transfer mechanisms and potential cascades are unveiled through a local scale-by-scale analysis in physical space.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Chemistry, Physical
Jegathishkumar Ramasamy, Karthikeyan Palaniswamy, Thanarajan Kumaresan, Mathan Chandran, Rui Chen
Summary: The study demonstrates that modifying flow channels can enhance the performance of direct methanol fuel cells. While the serpentine channel provides better methanol distribution, it lacks in water management. The results highlight the effectiveness of zigzag and pin channels in mitigating water accumulation and ensuring better oxygen supply at the cathode.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Thermodynamics
Liang Chang, Qiang Xu, Chenyu Yang, Xiaobin Su, Hanxuan Wang, Liejin Guo
Summary: Head degradation and performance failure occur when centrifugal pumps work under high gas volume fraction. A new impeller design with double rings and a transparent shroud was able to reach a maximum speed of 3500 rpm, overcoming the speed limitation in previous studies. Four gas-liquid flow patterns were observed, and the transition from bubble flow to gas pocket flow was found to be the critical condition for severe head degradation. A new correlation was established for predicting bubble Sauter diameter in the impeller under high rotational speeds.
EXPERIMENTAL THERMAL AND FLUID SCIENCE
(2023)
Article
Energy & Fuels
Qidong Xu, Meng Ni
Summary: A 2D numerical model was developed to study a tubular direct methanol SOFC, with parameters such as temperature, thickness, and length having significant effects on performance. Increasing temperature enhances cell performance, while other parameters also play important roles in optimizing SOFC performance.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Thermodynamics
Sameer Osman, Mahmoud Ahmed
Summary: A new design for direct methanol fuel cells has been proposed to significantly enhance performance at high current densities and has advantages in the parallel flow field configuration. Experimental studies show that the design improves cell performance and removes bubbles, reducing energy consumption.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Chemistry, Physical
Yuan Zhou, Yang Yang, Xun Zhu, Ding-ding Ye, Rong Chen, Qiang Liao
Summary: The study introduces a bubble-trap layer to address the issue of gas bubbles generation in direct liquid fuel cells at high current densities, improving power generation stability performance. A novel chip-based liquid fuel cell with the bubble-trap layer is fabricated for testing, demonstrating superior power generation stability, power density, and current density compared to cells without the bubble-trap layer.
JOURNAL OF POWER SOURCES
(2021)
Article
Mechanics
Niklas Hidman, Henrik Strom, Srdjan Sasic, Gaetano Sardina
Summary: Using direct numerical simulations (DNS), a transition in the scalar spectra from k(-5/3) to k(-3) scaling with wavenumber k is observed in bubbly flows with passive scalars. The decay of the scalar spectrum is faster than k-3 at high wavenumbers for cases with a mean scalar gradient in the horizontal direction. DNS computations reveal that scalar fluctuations are produced by the mean scalar gradient at length scales above the bubble diameter, leading to the k(-3) scaling of the scalar spectra.
JOURNAL OF FLUID MECHANICS
(2023)
Article
Chemistry, Physical
Abdullah Alrashidi, Hongtan Liu
Summary: Novel anode gas diffusion layers (AGDLs) with both hydrophobic and hydrophilic pathways were created by perforating PTFE-treated AGDLs with laser, enhancing both methanol and CO2 transfer. The main reason for the 32% cell performance improvement was reduction in mass transfer resistance and enhanced methanol transfer to the catalyst layer. However, excessive perforations may increase methanol crossover and decrease cell performance.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Energy & Fuels
Hongxiu Zhou, Yujing Wu, Leqing Zhao
Summary: A complete flow field and two-phase model for DMFC is developed to study the impact of anode flow fields on various aspects. Four different flow field structures are analyzed and compared. The results show that SFF has the highest power density but suffers from increased pressure drop and potential bubble blockage, while PFF has lower pressure loss but poor cell performance. The DSFF exhibits the best overall performance, followed by the PSFF, due to their higher power density, lower pressure loss, better CO2 gas removal, and superior thermal management.
Article
Chemistry, Analytical
Huichao Deng, Jiaxu Zhou, Yufeng Zhang
Summary: The design of the anode flow field is critical for the performance of micro direct methanol fuel cells, with a single-serpentine flow field showing better mass transfer efficiency and carbon dioxide emission efficiency compared to other flow fields. Additionally, the optimal parameters for the single-serpentine flow field were found to be an open ratio of 47.3% and a channel length of 63.5 mm, resulting in higher peak power density.
Article
Engineering, Environmental
Zhengbiao Peng, Shaolei Gai, Milan Barma, Mohd. Mostafizur Rahman, Behdad Moghtaderi, Elham Doroodchi
Summary: The study examines the gas-liquid-solid flow patterns and characteristics in slurry Taylor flow-based multiphase microreactors, determining their dependence on operating conditions. The research identified four STF patterns based on bubble surface distortion and particle travel between slugs, with different patterns occurring at varying fluid velocities. Empirical correlations were developed to predict bubble rising velocity, bubble size, and slug length in STFRs, valid across a wide range of fluids and channel sizes.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Engineering, Chemical
Yanxia Xu, Lvliang Wang, Yongjie Wang, Yuanyuan Qian, Hualin Wang, Yanjing Xu, Xuejing Yang
Summary: In this study, gas-liquid flow patterns and transitions in a static mixer-based HiPOxTM reactor were systematically investigated using a high-speed camera. Six different flow patterns were identified, and a flow pattern map was constructed. Three composite flow patterns were observed under the conditions of inlet liquid Re ranging from 8,000 to 160,000 and gas fraction from 3.23% to 86.96%. The effect of liquid inlet flow rate on bubble groups was found to be more significant than that of the gas phase in the bubble flow. Doubling the liquid flow rate resulted in a 65% reduction in the Sauter mean diameter, while reducing the gas flow rate by 8 times only caused a 28% decrease in the Sauter mean diameter.
CHEMICAL ENGINEERING SCIENCE
(2023)
Article
Chemistry, Applied
Xiaojun Yin, Leilei Xu, Hao Duan, Yingying Wang, Xibin Wang, Ke Zeng, Ying Wang
Summary: An experimental comparison between port injection and direct injection of methanol in diesel engines was conducted to study the effects on fuel-air mixing and combustion. The results showed that direct injection had a more controllable heat release and better fuel economy, but higher NOx and HC emissions compared to port injection.
FUEL PROCESSING TECHNOLOGY
(2023)
Article
Thermodynamics
Baoshan Zhuang, Wenjun Deng, Yong Tang, Xinrui Ding, Kaihang Chen, Guisheng Zhong, Wei Yuan, Zongtao Li
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2019)
Article
Engineering, Industrial
Huilong Liu, Yong Tang, Longsheng Lu, Yingxi Xie, Wei Yuan, Gong Chen, Jie Li, Ting Fu
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
(2019)
Article
Engineering, Multidisciplinary
Huang ShiMin, Luo Jian, Yuan Wei, Zhao BoTe, Chen Yu, Tang Yong
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2019)
Article
Thermodynamics
Yalong Sun, Shiwei Zhang, Wei Yuan, Yong Tang, Jingrong Li, Kairui Tang
APPLIED THERMAL ENGINEERING
(2019)
Article
Thermodynamics
Guoyun Fang, Wei Yuan, Zhiguo Yan, Yalong Sun, Yong Tang
APPLIED THERMAL ENGINEERING
(2019)
Article
Energy & Fuels
Wei Yuan, Zhiqiang Qiu, Yao Huang, Chun Wang, Honglin Huang, Yang Yang, Xiaoqing Zhang, Jian Luo, Yong Tang
Article
Chemistry, Multidisciplinary
Wei Yuan, Baoyou Pan, Zhiqiang Qiu, Ziming Peng, Yintong Ye, Yao Huang, Honglin Huang, Yong Tang
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2019)
Article
Thermodynamics
Shiwei Zhang, Lang Lin, Gong Chen, Heng Tang, Jian Zeng, Wei Yuan, Yong Tang
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2019)
Article
Engineering, Manufacturing
Wei Yuan, Ziyi Zhuang, Biaowu Lu, Guoyun Fang, Wenjun Chen, Yong Tang
IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY
(2019)
Article
Green & Sustainable Science & Technology
Guisheng Zhong, Yong Tang, Xinrui Ding, Longshi Rao, Gong Chen, Kairui Tang, Wei Yuan, Zongtao Li
Review
Energy & Fuels
Yang Yang, Wei Yuan, Xiaoqing Zhang, Yuhang Yuan, Chun Wang, Yintong Ye, Yao Huang, Zhiqiang Qiu, Yong Tang
Article
Engineering, Environmental
Wei Yuan, Zhiqiang Qiu, Chun Wang, Yuhang Yuan, Yang Yang, Xiaoqing Zhang, Yintong Ye, Yong Tang
CHEMICAL ENGINEERING JOURNAL
(2020)
Article
Chemistry, Physical
Xiaoqing Su, Wei Yuan, Biaowu Lu, Tianxiang Zheng, Yuzhi Ke, Ziyi Zhuang, Yonghao Zhao, Yong Tang, Shiwei Zhang
JOURNAL OF POWER SOURCES
(2020)
Article
Energy & Fuels
Biaowu Lu, Wei Yuan, Xiaoqing Su, Ziyi Zhuang, Yuzhi Ke, Yong Tang
Article
Chemistry, Multidisciplinary
Guoyun Fang, Yao Huang, Wei Yuan, Yang Yang, Yong Tang, Weida Ju, Fujian Chu, Zepeng Zhao
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.
