Article
Chemistry, Physical
Qiang Wang, Yaru Li, Zichen Yu, Xuewen Li, Shouhua Yin, Wen Ji, Yonghua Hu, Weiping Cai, Xianbiao Wang
Summary: In order to reduce greenhouse gas emissions and promote carbon cycling, there is a strong demand for highly porous carbon adsorbents. This study presents a low-cost and environmentally friendly carbonization strategy to produce highly porous carbon from biomass, utilizing sugarcane as the biomass source. The resulting hydrothermal-pyrolysis derived porous carbon (HPC) has a BET surface area of 938 m2/g, significantly higher than that of carbon produced through direct pyrolysis. The HPC exhibits remarkable CO2 adsorption ability, selectivity, and recyclability, making it a potential candidate for CO2 capture.
COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS
(2023)
Article
Chemistry, Physical
Wenqiang Hu, Yao Li, Mingtao Zheng, Yong Xiao, Hanwu Dong, Yeru Liang, Hang Hu, Yingliang Liu
Summary: A simple and effective strategy using Na2SO3 and NaOH aqueous mixture to degrade lignin and hemicellulose in biomass, transforming it into porous carbon with high specific surface area and large pore volume. The prepared sample exhibits appealing hydrogen storage capacity and isosteric heat of hydrogen adsorption, making it suitable for high-performance hydrogen storage materials.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Energy & Fuels
Li Wang, Meifeng Wu, Yunji Pang, Jia Xu, Xiaowei Li, Yisheng Chen
Summary: The coupling of DAP and pre-carbonization was conducted to improve the carbon yield for pyrolysis of woody biomass waste. The introduction of DAP enhanced solid yields and calorific value. The modified biomass showed comparable yields and reduced phenolic and toluene compounds in the tar.
BIOENERGY RESEARCH
(2023)
Article
Energy & Fuels
A. Ariharan, K. Ramesh, R. Vinayagamoorthi, M. Sandhya Rani, B. Viswanathan, S. Ramaprabhu, V Nandhakumar
Summary: A facile method of self-phosphorous doped porous carbon has been developed without using any activation process, showing high H-2 storage capacity and specific capacitance. The carbon material exhibits excellent cyclic stability and shows potential for industrial applications.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Farideh Sedighi, Maryam Ghiyasiyan-Arani, Mohsen Behpour
Summary: The study designed a ternary Ce2W2O9/CoWO4/PC nanocomposite as electrode material for hydrogen storage systems, investigating the effects of current density and PC dosage on hydrogen storage capacity. Experimental results showed that the Ce2W2O9/CoWO4/PC nanocomposites have promising potential as active materials for hydrogen storage devices.
Article
Energy & Fuels
Qun Wang, Bin Qin, Chaoqun Qu, Bin Wang, Huijuan Duan, Qing Cao, Hengxiang Li, Junlei Qi
Summary: This review showcases the successful large-scale synthesis of hierarchical porous carbon (HPC) from bio-oil. The optimized carbon material exhibits ample ion adsorption sites and ion diffusion pathways, resulting in outstanding performance. Furthermore, the symmetric supercapacitor in the Na2SO4 electrolyte achieves a high energy density.
Review
Energy & Fuels
Turkan Kopac
Summary: Activated carbons from biomass sources are attracting attention due to their superior properties for hydrogen storage applications. This comparative evaluation focuses on the differences in hydrogen storage performances of various carbon materials prepared from biomass sources, considering factors such as precursors and activating agents. The study provides an overview of the preparation, characterization, and analysis methods of biosorbents from different types of biomass, as well as perspectives and challenges in the field.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Biochemistry & Molecular Biology
Chun-Han Hsu, Cheng-Han Chung, Tzu-Hsien Hsieh, Hong-Ping Lin
Summary: Multiporous carbons (MPCs) were prepared using ZnO as a template and biomass pyrolysis oil as a carbon source. The characteristics of the prepared MPCs can be controlled by adjusting the ZnO/oil ratio. A sulfur/MPC (S/MPC) composite was prepared by blending sulfur powder with the prepared MPCs and showed promising performance as an electrode material in lithium-ion batteries.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Chemistry, Physical
Chao Gai, Hongxia Jia, Zhengang Liu, Lei Luo, Dong Li
Summary: In this study, a series of hydrothermal carbon-supported nickel catalysts with an Ageratum conyzoides L.-like superstructure were fabricated. These hierarchical structured composites exhibited promising low-temperature tar reforming activity and long-term durability, making them potential candidates for catalytic applications.
ACS APPLIED ENERGY MATERIALS
(2022)
Article
Energy & Fuels
Delvina Japhet Tarimo, Kabir O. Oyedotun, Ndeye Fatou Sylla, Abdulmajid A. Mirghni, Ndeye Maty Ndiaye, Ncholu Manyala
Summary: In this study, cooked chicken bone waste (CCBW) was successfully converted into activated carbon for supercapacitor applications. The synthesized activated carbon showed high specific capacitance and specific surface area. The fabricated device exhibited excellent specific energy, power, columbic efficiency, and capacitance retention, indicating the potential of using low-cost biomass as energy storage materials.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Environmental Sciences
Bin Li, Yin Zhang, Jin Xu, Shisuo Fan, Huacheng Xu
Summary: The pyrolysis temperature significantly affects the physicochemical properties of magnetic porous biochars (MPBCs), and the adsorption capacity increases with higher pyrolysis temperatures. The adsorption potential of MPBCs is not solely determined by surface area and pore volume, but is influenced by pore-filling, pi-pi interaction, complexation, and hydrogen bonding. MPBCs demonstrate high saturation magnetization, making them easily separable by an external magnet. MPBCs, especially those pyrolyzed at 700 degrees C, are excellent adsorbents for contaminant removal due to their high separation, adsorption, and reuse performance.
Article
Agricultural Engineering
Mohd Rafein Zakaria, Mohammad Abdillah Ahmad Farid, Yoshito Andou, Irmawati Ramli, Mohd Ali Hassan
Summary: The palm oil industry has abundant biomass residues that can be used to produce valuable products. The carbon content of oil palm biomass is high, making it a promising source for carbonaceous materials. Pyrolysis is the most commonly used technique to convert the biomass into carbon-rich by-products, but there is a lack of precise definition and methods for carbon materials. This review compares biochar and activated carbon generated from oil palm biomass and emphasizes the importance of sustainable development and circular bioeconomy in the industry.
INDUSTRIAL CROPS AND PRODUCTS
(2023)
Article
Engineering, Environmental
Jiahui Li, Yangfeng Wang, Mengru Hu, Zhangze Ye, Xiaohua Zheng, Peng Li, Chu Liang
Summary: This study presents a facile self-templated method for synthesizing boron-doped porous carbon derived from CO2. It demonstrates that heteroatom-doped carbon functional materials can be synthesized without CO2 emission from precursor, thus enabling low-carbon utilization of carbon materials.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Energy & Fuels
Bo Wang, Xiangpeng Gao, Jingchun Huang, Alireza Z. Mofrad, Zhenqi Wang, Chao Feng, Chen Li, Wei Hu, Yu Qiao
Summary: The study investigates the release behavior of chlorine during biomass pyrolysis, focusing on the transformation of hydrogen chloride (HCl) and its interactions with pyrolyzing biomass/char particles. Results show that vapor-phase reactions of HCl with volatiles from certain biomass components generate methyl chloride (CH3Cl) but do not contribute to organic chlorine in bio-oil. The vapor-solid interactions of HCl with pyrolyzing biomass/char particles enhance the formation of CH3Cl, particularly in the pyrolysis of acid-washed wood.
Article
Chemistry, Multidisciplinary
Lei Xie, Shan Zhou, Jinrong Liu, Beilei Qiu, Tianyi Liu, Qirui Liang, Xiaozhong Zheng, Ben Li, Jie Zeng, Miao Yan, Yanjun He, Xin Zhang, Hui Zeng, Ding Ma, Pu Chen, Kang Liang, Lei Jiang, Yong Wang, Dongyuan Zhao, Biao Kong
Summary: A simple and straightforward soft-templating hydrothermal carbonization approach has been developed to synthesize highly flexible and mechanically robust nanofiber-arrays-based carbonaceous ordered mesoporous nanowires (CMWs). This method shows great versatility in controlling the dimensions of CMWs.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2021)
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.