Article
Energy & Fuels
Hazlina Junoh, Juhana Jaafar, Nik Abdul Hadi M. Nordin, Ahmad F. Ismail, Mohd H. D. Othman, Mukhlis A. Rahman, Farhana Aziz, Norhaniza Yusof, Syarifah Noor S. Sayed Daud
Summary: Porous poly ether sulfone (PES) membranes were prepared using two different solvents via dry/wet non-solvent phase inversion techniques, with membranes prepared using DMAc at 3 minutes solvent evaporation time showing desirable properties for proton conduction and methanol resistance.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Chemistry, Physical
Bincy George Abraham, Raghuram Chetty
Summary: An air breathing direct methanol fuel cell (AB-DMFC) with a unique architecture was designed and optimized for high performance, utilizing titanium mesh as a catalyst support and optimizing the configuration of the anode and cathode. The study also extended the single cell AB-DMFC architecture to 2-cell and 6-cell mini-stacks, which were used to power a small portable device.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Energy & Fuels
Kaiyuan Zuo, Zhenyu Yuan
Summary: This article presents a high concentration adaptive direct methanol fuel cell based on a dual-cavity structure, and investigates its performance under different supply concentrations of methanol solution to determine optimal working conditions. The advantages of the anode double-cavity structure in high concentration and high energy density fuel supply are demonstrated, along with the effects of various materials on cell performance through experimental investigation.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Review
Chemistry, Physical
M. H. de Sa, A. M. F. R. Pinto, V. B. Oliveira
Summary: Hearing aids are crucial medical devices for individuals with hearing loss, and their power supply options present technological challenges. Passive direct methanol fuel cells offer a sustainable alternative, especially in developing countries and remote areas.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Energy & Fuels
M. S. Alias, S. K. Kamarudin, A. M. Zainoodin, M. S. Masdar
Summary: This study presents a surface characterization of the modified MPL of TiO2-CNF-CB and discusses in detail the mechanism on the power density drop due to increment of methanol concentration. The study also tests the performance and stability of the modified MPL. The results show that the mixture of TiO2-CNF-CB improved the stability of the DMFC over long-term performance testing.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Chemistry, Physical
Luwen Wang, Lu Yin, Wenli Yang, Yuhua Cheng, Fei Wen, Chaoran Liu, Linxi Dong, Minghao Wang, Shaopeng Ma, Xue Feng
Summary: In this study, various variables affecting the performance of passive micro direct methanol fuel cell were systematically investigated through experiments and simulations. The results showed that vertical stripe pattern (VSP) was preferred for both anodes and cathodes. Additionally, external environmental conditions such as vibration frequency, cell orientation, environmental temperature, and atmospheric pressure were thoroughly discussed. Optimized fabrication, assembly, and operation parameters were proposed to facilitate the wide application of high-performance and durable passive mu DMFC for portable applications.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Biophysics
Liliana P. T. Carneiro, Nadia S. Ferreira, Ana P. M. Tavares, Alexandra M. F. R. Pinto, Adelio Mendes, M. Goreti F. Sales
Summary: This work presents an electrochemical sensor with a biomimetic plastic antibody film for the detection of carcinoembryonic antigen (CEA), integrated in the electrical circuit of a direct methanol fuel cell (DMFC). The sensor showed high sensitivity and selectivity, demonstrating linear responses in different media and operating well in the presence of human serum.
BIOSENSORS & BIOELECTRONICS
(2021)
Review
Energy & Fuels
B. A. Braz, C. S. Moreira, V. B. Oliveira, A. M. F. R. Pinto
Summary: Passive direct methanol fuel cells (pDMFCs) are a promising power source with higher power densities and easy handling of liquid fuel methanol. However, challenges related to fuel and water crossover, system durability, and costs need to be addressed. The electrochemical impedance spectroscopy (EIS) is an effective tool for diagnosing cell behavior and optimizing performance.
Article
Chemistry, Multidisciplinary
Siti Hasanah Osman, Siti Kartom Kamarudin, Sahriah Basri, Nabila A. Karim
Summary: Fuel cells have shown great potential for green energy generation, but their low reaction performance hinders large-scale commercial manufacturing. This study focuses on a new fabrication method for a TiO2-graphene aerogel (TiO2-GA) supporting PtRu catalyst, which is simple, environmentally friendly, and cost-effective. The experimental outcomes demonstrate that PtRu/TiO2-GA offers higher surface area and better performance than commercial PtRu/C catalysts.
Article
Chemistry, Analytical
Nadia S. Ferreira, Liliana P. T. Carneiro, Christian Viezzer, Maria J. T. Almeida, Ana C. Marques, Alexandra M. F. R. Pinto, Elvira Fortunato, M. Goreti F. Sales
Summary: This work presents an innovative electrochemical biosensor powered by a passive direct methanol fuel cell (DMFC). The biosensor utilizes a molecularly imprinted polymer (MIP) layer on the anode side of the DMFC to selectively detect sarcosine, a potential cancer biomarker. By serially assembling a stack of hybrid DMFC/biosensor devices, the concentration-dependent detection of sarcosine triggers a color change in an external electrochromic cell (EC), making this biosensor a self-controlled and self-signalling device. This approach offers a simple, low-cost solution for autonomous biosensors, suitable for point-of-care analysis.
JOURNAL OF ELECTROANALYTICAL CHEMISTRY
(2022)
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
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
Chemistry, Physical
Xiaohang Li, Xiaoxuan Yang, Liting Liu, He Zhao, Yawei Li, Haiyan Zhu, Yuanzhen Chen, Shengwu Guo, Yongning Liu, Qiang Tan, Gang Wu
Summary: A nitrogen/sulfur codoped single iron site catalyst (Fe-N/S-C) prepared through chemical vapor deposition (CVD) showed superior catalytic activity for the oxygen reduction reaction (ORR) in alkaline media. The tuning of optimal charge distribution of Fe sites by N and S codoping and the suppression of iron-carbide-containing iron clusters formation contributed to the high performance of the catalyst. Further studies demonstrated its promising performance as a cathode catalyst in direct methanol fuel cells.
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)
Review
Energy & Fuels
Maria H. de Sa, Catarina S. Moreira, Alexandra M. F. R. Pinto, Vania B. Oliveira
Summary: Direct methanol fuel cells (DMFCs) have attracted attention as a portable power source due to their portability and high energy conversion efficiency. However, there are still challenges to be overcome for the commercialization of DMFCs, such as cost and durability. This paper provides a comprehensive review of recent progress in the development of nanocatalysts for DMFCs, focusing on anode and cathode reactions.
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.
