Article
Green & Sustainable Science & Technology
Xianxian Yu, Yang Liu, Zhengkai Tu, Siew Hwa Chan
Summary: Proton exchange membrane fuel cells (PEMFCs) are highly promising devices for energy conversion, but their performance is affected by the weakest fuel cell, known as the Bucket Effect. To mitigate this effect, an innovative approach involving endplate heating has been proposed and validated through experiments. The results show that heating prolongs the operational duration and improves output power efficiency.
Article
Environmental Sciences
Asif Jamil, Sikander Rafiq, Tanveer Iqbal, Hafiza Aroosa Aslam Khan, Haris Mahmood Khan, Babar Azeem, M. Z. Mustafa, Abdulkader S. Hanbazazah
Summary: Fuel cells are environmentally friendly technology with high efficiency and economic advantages. Proton exchange membranes, especially for hydrogen fuel cells, have great potential but face challenges in terms of cost and degradation of proton exchange capacity over time.
Article
Chemistry, Physical
Phuong-Long Le, Nitika Devi, Justin Chou, Amornchai Arpornwichanop, Yong -Song Chen
Summary: This paper proposes a novel method to improve the performance of open-cathode proton-exchange-membrane fuel cells by collecting water purged from the anode. The experimental results show that this method improves the stack power, and optimal performance is achieved at a humidifier distance of 2 cm.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Review
Environmental Sciences
A. K. Priya, C. Subha, P. Senthil Kumar, R. Suresh, Saravanan Rajendran, Yasser Vasseghian, Matias Soto-Moscoso
Summary: A microbial fuel cell is a sustainable device that produces electricity. Its performance is influenced by various factors such as cell design, operation parameters, substrate characteristics, and the presence of microbes. It can be scaled up and commercialized using low-cost materials, and different types of materials have been used. This review describes modified electrodes, their advantages, and power density.
ENVIRONMENTAL RESEARCH
(2022)
Review
Chemistry, Physical
M. A. Aminudin, S. K. Kamarudin, B. H. Lim, E. H. Majilan, M. S. Masdar, N. Shaari
Summary: Due to the harmful consequences of pollutants emitted by conventional fuel cars, vehicle manufacturers are shifting towards alternative energy sources. Fuel cells (FCs) are considered as highly efficient and non-polluting power sources capable of delivering greater energy densities and efficiency than conventional technologies. Proton exchange membrane fuel cells (PEMFC) are promising in transportation sectors due to their ability to start at cold temperatures and minimal emissions. This article discusses the pros and cons of the technology, various fuel cell types, their applications, and recent issues associated with fuel cell technology in the automobile sector.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Thermodynamics
Yupeng Yang, Yuzhe Gao, Zhi Liu, Xuyang Zhang, Fanbo Meng, Jianjun Wang, Jie Zhang, Pengbing Zhao, Peng Li, Xiaocong He
Summary: This study investigates the detailed local dynamic characteristics of proton exchange membrane fuel cells (PEMFCs) with dead-ended anode (DEA) operation. The simultaneous measurements of local current and temperature variations reveal that the local fuel cell performance distribution becomes uneven during DEA operation. The highest local current and temperature are observed near the anode inlet, posing serious threats to the local fuel cell. Anode purging helps to achieve uniform current distribution quickly, but it takes longer for the local temperatures to become uniform and stable. The operating conditions also affect the local current and temperature distributions.
APPLIED THERMAL ENGINEERING
(2023)
Article
Thermodynamics
Karam Yassin, John C. Douglin, Igal G. Rasin, Pietro G. Santori, Bjorn Eriksson, Nicolas Bibent, Frederic Jaouen, Simon Brandon, Dario R. Dekel
Summary: Through experimental and simulation studies, it was found that thin membrane AEMFCs exhibit better performance due to reduced ohmic losses and enhanced water transport between the electrodes. Simulation results show that thinner membranes help alleviate anode flooding, increase local hydration in the membrane and cathode catalytic layer, and improve cell performance.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Thermodynamics
Zhongshuai Yu, Fang Liu, Chengzhang Li
Summary: Hydrogen ejectors can enhance the performance and reduce water flooding in different types of PEMFCs. Adjusting the operating parameters, such as maintaining the appropriate relative humidity, can further improve the performance.
Article
Chemistry, Physical
Heesoo Choi, Jaeyeon Kim, Obeen Kwon, Hongnyoung Yoo, Hyeok Kim, Hyeonjin Cha, Taehyun Park
Summary: In this study, water removal in a transparent fuel cell and its relationship with voltage and impedance responses are analyzed. It is found that the frequency of water flow is positively correlated with voltage, suggesting that frequent flooding-induced water removal could enhance fuel cell performance.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Chemistry, Physical
Jonghyun Hyun, Wonhee Jo, Seok Hwan Yang, Sang-Hun Shin, Gisu Doo, Sungyu Choi, Dong-Hyun Lee, Dong Wook Lee, Euntaek Oh, Jang Yong Lee, Hee-Tak Kim
Summary: Water management is crucial for the power performance and durability of anion exchange membrane fuel cells (AEMFCs). This study systematically tuned the hydrophobicity of catalyst layers (CLs) to improve water management, resulting in enhanced performance and stability.
JOURNAL OF POWER SOURCES
(2022)
Review
Chemistry, Physical
Seyed Hesam Mirfarsi, Mohammad Javad Parnian, Soosan Rowshanzamir, Erik Kjeang
Summary: Due to the demand for reliable and economical fuel cells, researchers have focused on improving the durability of hydrocarbon-based proton exchange membranes (PEMs) without compromising performance. Cross-linking and blending techniques show promising potential in creating a 3D network within the membrane structure, resulting in improved long-term stability and durability. These membranes have demonstrated over 4000 hours of durability in hydrogen fuel cells and significantly lower methanol crossover compared to conventional fluorinated membranes, indicating their potential for commercialization.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Chemistry, Physical
Phuong-Long Le, Bhupendra Singh, Yong-Song Chen, Amornchai Arpornwichanop
Summary: The study reveals that reducing fan speed can decrease auxiliary power consumption, and efficiently heating the stack can enhance the electrochemical reaction. The stack temperature is an important indicator for controlling fan speed to optimize energy efficiency, and the experimental results demonstrate a significant increase in energy efficiency at certain stack powers.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Chemistry, Physical
Biao Xiao, Zhenyu Huang, Zhengkai Tu, Siew Hwa Chan
Summary: A novel PEMFC stack with in-built moisture coil cooling was designed to investigate the effects of moisture coil cooling on water management. The results showed that the performance of the PEMFC stack was significantly improved under various operating conditions, with increased power output and reduced degradation of the cathode catalyst layer. The novel design is valuable and can be widely used in the future design of PEMFC.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Chemistry, Physical
Haodong Huang, Cailin Xiao, Zijie Zhang, Tianshou Zhao, Lin Zeng Abc
Summary: This study develops a multi-physics model to investigate and optimize transport phenomena in anion exchange membrane fuel cells (AEMFCs). The findings suggest that adjusting the anode inlet gas relative humidity and optimizing the microstructure of the anode gas diffusion layer can improve the maximal power density and alleviate anode flooding.
JOURNAL OF POWER SOURCES
(2023)
Review
Materials Science, Multidisciplinary
Qian Zhu, Jingping Hu, Bingchuan Liu, Shaogang Hu, Sha Liang, Keke Xiao, Jiakuan Yang, Huijie Hou
Summary: Microbial fuel cells have received significant attention as a sustainable technology for addressing environmental pollution and energy shortage. Recent advancements in functional materials for MFC systems include the development of enhanced anode materials, cost-effective separators/membranes, and efficient cathode catalysts to improve overall performance and efficiency. Challenges and future prospects for functional materials in MFC applications are also discussed in this review.
ENERGY & ENVIRONMENTAL MATERIALS
(2022)
Review
Chemistry, Multidisciplinary
Linhao Fan, Hao Deng, Yingguang Zhang, Qing Du, Dennis Y. C. Leung, Yun Wang, Kui Jiao
Summary: With the global commercialization of PEMFCs approaching, the challenges of cost, performance, and durability need to be addressed. Developing ultralow Pt loading PEMFCs is crucial for improving their cost competitiveness. This perspective discusses the motivation for ultralow Pt loading and presents important technical development routes. The latest advancements in catalyst layer design under low Pt loading, as well as approaches for accelerating catalyst layer development, are proposed for next-generation PEMFCs.
ENERGY & ENVIRONMENTAL SCIENCE
(2023)
Article
Computer Science, Information Systems
Fanghui Bi, Tiantian He, Yuetong Xie, Xin Luo
Summary: This article presents a novel approach named TGLFA for QoS data representation learning. TGLFA constructs a multilayer fully-connected network to capture the nonlinear latent features of services, and utilizes a lightweight graph convolutional network to acquire high-order connectivity in QoS data. Experimental results demonstrate that TGLFA significantly outperforms existing methods in terms of estimation accuracy for missing QoS data and computational efficiency.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Chemistry, Multidisciplinary
Zhengguo Qin, Wenming Huo, Zhiming Bao, Chasen Tongsh, Bowen Wang, Qing Du, Kui Jiao
Summary: A universal alternating flow field design is proposed in this study to improve the gas transfer rate and performance of proton exchange membrane fuel cells (PEMFC). The design offers additional options for flow field optimization and contributes to the early achievement of next-generation ultrahigh power density fuel cells.
Article
Automation & Control Systems
Fan Zhang, Long Jin, Xin Luo
Summary: This article proposes a model predictive control (MPC) scheme for the trajectory tracking of redundant manipulators, which minimizes the tracking error, velocity norm, and acceleration norm simultaneously. The proposed scheme directly considers joint limits at three different levels without reducing the feasible region of decision variables. Additionally, an error-summation enhanced Newton (ESEN) algorithm is proposed to compensate for deficiencies in noise environments.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Qipeng Tang, Yi Shen, Minggang Sheng, Anwen Shen, Pan Luo, Xin Luo, Jinbang Xu
Summary: This article proposes a novel rotational restart strategy based on the dead time adaptive expansion for the sensorless surface-mounted permanent magnet synchronous machines drive system. The proposed method controls the stator current within a reasonable range by regulating the dead time based on stator-current amplitude feedback, achieving adaptive selection of the action time and interval time of zero-voltage pulses (ZVPs), and avoiding overcurrent and current sampling noise. Experimental results confirm the effectiveness and feasibility of the proposed strategy.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Xin Luo, Yue Zhou, Zhigang Liu, MengChu Zhou
Summary: This study theoretically proves the fast convergence of a fast non-negative latent factor (FNLF) model in high-dimensional and sparse (HiDS) matrix analysis, and provides empirical evidence through empirical analysis.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Thermodynamics
Wenming Huo, Biao Xie, Siyuan Wu, Lizhen Wu, Guobin Zhang, Hanyang Zhang, Zhengguo Qin, Ying Zhu, Renfang Wang, Kui Jiao
Summary: In this study, a 3D + 1D multiphase PEM fuel cell model is developed, which considers the detailed channel two-phase flow. Compared with conventional 3D models, the 3D + 1D model improves calculation efficiency and stability. The accuracy of the model is validated against experimental data, and the influence of flow field configurations on cell performance is numerically investigated.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2023)
Article
Chemistry, Multidisciplinary
Jinqiao Liang, Linhao Fan, Qing Du, Yan Yin, Kui Jiao
Summary: In this study, comprehensive in situ non-accelerated segmented techniques are developed to analyze the degradation mechanisms of PEM fuel cells during cold start at sub-freezing temperatures. A detailed degradation mechanism map is proposed to understand the degradation under different conditions and suppress ice formation. An ideal starting strategy is also developed to achieve cold start without degradation. This study is highly valuable for researchers to understand degradation mechanisms and promote the commercialization of PEM fuel cells.
Article
Biotechnology & Applied Microbiology
Jingyan Yi, Xin Luo, Jinshan Xing, Aharon Gedanken, Xiukun Lin, Chunxiang Zhang, Gan Qiao
Summary: The anticancer effects of MEnZn-CuO NPs on human ovarian cancer cells were studied, and it was found that they could affect cell proliferation, migration, apoptosis, and autophagy. In addition, MEnZn-CuO NPs have a greater potential for clinical application by inducing HR repair defects in ovarian cancer cells in combination with poly (ADP-ribose) polymerase inhibitors for lethal effects.
BIOENGINEERING & TRANSLATIONAL MEDICINE
(2023)
Article
Engineering, Multidisciplinary
Weiling Li, Renfang Wang, Xin Luo, MengChu Zhou
Summary: This study proposes a second-order symmetric non-negative latent factor model (SNLF)-N-2 with an efficient second-order learning algorithm for precise representation of undirected weighted networks. The model applies a single latent factor-related mapping function to achieve an unconstrained learning objective and optimizes this objective with a second-order learning algorithm. Empirical studies show that the proposed model outperforms existing second-order SNLF models in accurately representing real-world undirected weighted networks.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Automation & Control Systems
Fanghui Bi, Xin Luo, Bo Shen, Hongli Dong, Zidong Wang
Summary: This paper proposes a proximal alternating-direction-method-of-multipliers-based nonnegative latent factor analysis (PAN) model for high-dimensional and incomplete data. The PAN model efficiently performs representation learning with fast convergence and high computational efficiency, and enhances the accuracy of representation learning with the incorporation of proximal regularization. Theoretical studies and experimental results demonstrate the effectiveness of the proposed PAN model in terms of convergence, estimation accuracy, and computational efficiency.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2023)
Article
Computer Science, Artificial Intelligence
Jingkun Yan, Long Jin, Xin Luo, Shuai Li
Summary: This article focuses on solving a nonstationary complex-valued augmented Sylvester equation (NCASE) in real time and proposes two modified recurrent neural network (RNN) models. The first model completely eliminates the lagging error in the nonstationary problem, while the second model adapts to a noisy environment and accelerates the convergence process. The convergence and robustness of these two models are proved via theoretical analysis, and simulative results and an application showcase their excellent performance.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
Zhigang Liu, Xin Luo, Mengchu Zhou
Summary: This study proposes a new Symmetry and Graph Bi-regularized Non-negative Matrix Factorization (B-NMF) method for accurate representation and detection of communities in a Large-scale Undirected Network (LUN). Experimental results demonstrate its superior performance compared to other baseline models.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Weiling Li, Renfang Wang, Xin Luo
Summary: This study proposes a generalized Nesterov-accelerated second-order latent factor (GNSLF) model for accurate and efficient representation learning on high-dimensional and incomplete data. Experimental results demonstrate that GNSLF outperforms state-of-the-art models in accuracy and efficiency for missing data estimation.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Biochemical Research Methods
Xin Luo, Liwei Wang, Pengwei Hu, Lun Hu
Summary: This paper proposes a novel protein-protein interaction (PPI) prediction algorithm (PASNVGA) that combines sequence and network information to improve prediction accuracy. The algorithm utilizes principal component analysis to extract protein features and designs a scoring function to measure higher-order connectivity. By training a variational graph autoencoder model to learn integrated protein embeddings, the prediction task is completed using a feedforward neural network.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
(2023)
Article
Thermodynamics
Pengcheng Zhao, Jingang Wang, Liming Sun, Yun Li, Haiting Xia, Wei He
Summary: The production of green hydrogen through water electrolysis is crucial for renewable energy utilization and decarbonization. This research explores the optimal electrode configuration and system design of compactly-assembled industrial electrolyzer. The findings provide valuable insights for industrial application of water electrolysis equipment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
V. Baiju, P. Abhishek, S. Harikrishnan
Summary: Thermally driven adsorption desalination systems (ADS) have gained attention as an eco-friendly solution for water scarcity. However, they face challenges related to low water productivity and scalability. To overcome these challenges, integrating ADS with other desalination technologies can create a small-scale hybrid system. This study proposes integrating ADS with a Thermo Electric Dehumidification (TED) unit to enhance its performance.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
C. X. He, Y. H. Liu, X. Y. Huang, S. B. Wan, Q. Chen, J. Sun, T. S. Zhao
Summary: A decentralized centroid multi-path RC network model is constructed to improve the temperature prediction accuracy compared to traditional RC models. By incorporating multiple heat flow paths and decentralizing thermal capacity, a more accurate prediction is achieved.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chaoying Li, Meng Wang, Nana Li, Di Gu, Chao Yan, Dandan Yuan, Hong Jiang, Baohui Wang, Xirui Wang
Summary: There is an urgent need to shift away from heavy dependence on fossil fuels and embrace renewable energy sources, particularly in the energy-intensive oil refining process. This study presents an innovative concept called the Solar Oil Refinery, which applies solar energy in oil refining. A solar multi-energies-driven hybrid chemical oil refining system that utilizes solar pyrolysis and electrolysis has been developed, significantly improving solar utilization efficiency, cracking rate, and hydrogen yield.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Chao Ma, Guanghui Wang, Dingbiao Wang, Xu Peng, Yushen Yang, Xinxin Liu, Chongrui Yang, Jiaheng Chen
Summary: This study proposes a bio-inspired fish-tail wind rotor to improve the wind power efficiency of the traditional Savonius rotor. Through transient simulations and orthogonal experiments, the key factors affecting the performance are identified. A response surface model is constructed to optimize the power coefficient, resulting in an improvement of 9.4% and 6.6% compared to the Savonius rotor.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sina Bahmanziari, Abbas-Ali Zamani
Summary: This paper proposes a new framework for improving electrical energy harvesting from piezoelectric smart tiles through a combination of magnetic plucking, mechanical impact, and mechanical vibration force mechanisms. Experimental results demonstrate a significant increase in energy yield and average energy harvesting time compared to other mechanisms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Nanjiang Dong, Tao Zhang, Rui Wang
Summary: This study establishes a multiobjective mixed-variable configuration optimization model for a comprehensive combined cooling, heating, and power energy system, and proposes an efficient generating operator to optimize this model. The experimental results show that the proposed algorithm performs better than other state-of-the-art algorithms.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Ahmed E. Mansy, Eman A. El Desouky, Tarek H. Taha, M. A. Abu-Saied, Hamada El-Gendi, Ranya A. Amer, Zhen-Yu Tian
Summary: This study aims to convert office paper waste into bioethanol through a sustainable pathway. The results show that physiochemical and enzymatic hydrolysis of the waste can yield a high glucose concentration. The optimal conditions were determined using the Box-Behnken design, and a blended membrane was used for ethanol purification.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Sven Klute, Marcus Budt, Mathias van Beek, Christian Doetsch
Summary: Heat pumps are crucial for decarbonizing heat supply, and steam generating heat pumps have the potential to decarbonize the industrial sector. This paper presents the current state, technical and economic data, and modeling principles of steam generating heat pumps.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Le Zhang, To-Hung Tsui, Yen Wah Tong, Pruk Aggarangsi, Ronghou Liu
Summary: This study investigates the effectiveness of a current-carrying-coil-based magnetic field in promoting anaerobic digestion of chicken manure. The results show that the applied magnetic field increases methane yield, decreases carbon dioxide production, and reduces the concentration of ammonia nitrogen. Microbial community analysis reveals the enrichment of certain methanogenic genera and enhanced metabolic pathways. Pilot-scale experiments confirm the technical effectiveness of the magnetic field assistance in enhancing anaerobic digestion of chicken manure.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Bo Chen, Ruiqing Ma, Yang Zhou, Rui Ma, Wentao Jiang, Fan Yang
Summary: This paper presents an advanced energy management strategy for fuel cell hybrid electric heavy-duty vehicles, focusing on speed planning and energy allocation. By utilizing predictive co-optimization control, this strategy ensures safe inter-vehicle distance and minimizes energy demand. Simulation results demonstrate the effectiveness of the proposed method in reducing fuel cell degradation cost and overall operation cost.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Fabio Fatigati, Roberto Cipollone
Summary: Organic Rankine Cycle-based microcogeneration systems that use solar sources to generate electricity and hot water can help reduce CO2 emissions in residential energy-intensive sectors. The adoption of a recuperative heat exchanger in these systems improves efficiency, reduces thermal power requirements, and saves on electricity costs.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Lipeng He, Renwen Liu, Xuejin Liu, Xiaotian Zheng, Limin Zhang, Jieqiong Lin
Summary: This research proposes a piezoelectric-electromagnetic hybrid energy harvester (PEHEH) for low-frequency wave motion and self-sensing wave environment monitoring. The PEHEH shows promising power output and the ability to self-power and self-sense the wave environment.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Shangling Chu, Yang Liu, Zipeng Xu, Heng Zhang, Haiping Chen, Dan Gao
Summary: This paper studies a distributed energy system integrated with solar and natural gas, analyzes the impact of different parameters on its energy utilization and emissions reduction, and obtains the optimal solution through an optimization algorithm. The results show that compared to traditional separation production systems, this integrated system achieves higher energy utilization and greater reduction in carbon emissions.
ENERGY CONVERSION AND MANAGEMENT
(2024)
Article
Thermodynamics
Qingpu Li, Yaqi Ding, Guangming Chen, Yongmei Xuan, Neng Gao, Nian Li, Xinyue Hao
Summary: This paper proposes and studies a piston-type thermally-driven pump with a structure similar to a linear compressor, aiming to eliminate the high-quality energy consumption of existing pumps and replace mechanical pumps. The coupling mechanism of working fluid flow and element dimension is analyzed based on force analysis, and experimental data analysis is used to determine the pump operation stroke. Theoretical simulation is conducted to analyze the correlation mechanism of the piston assembly. The research shows that the thermally-driven pump can greatly reduce power consumption and has potential for industrial applications.
ENERGY CONVERSION AND MANAGEMENT
(2024)