Article
Energy & Fuels
Ehsan Farajzadeh, Yuting Zhuo, Yansong Shen
Summary: This study investigates the dynamic impact of injecting coke oven gas (COG) and reformed COG on the raceway's size and shape in ironmaking blast furnaces. The results show that injecting COG leads to a larger raceway size and higher gas temperature and CO and CO2 concentrations compared to reformed COG.
Review
Energy & Fuels
Kalpana Chaudhary, Kartikey Bhardvaj, Ayushi Chaudhary
Summary: This review paper explores various methods for hydrogen generation to meet energy demands, including on-site and off-site approaches. By examining different compounds, photosynthetic bacteria, electrolysis, and other techniques, the paper assesses the economic implications and viability of these methods in fuel cell applications.
Article
Energy & Fuels
Chenyi Yao, Qingxin Ba, Ethan S. Hecht, David M. Christopher, Xuefang Li
Summary: This study investigates the characteristics of cryogenic hydrogen jets and develops a calculation method for their flammability factor through experiments and statistical analysis.
Article
Energy & Fuels
Juan Daniel Martinez, Alberto Sanchis, Alberto Veses, Maria Soledad Callen, Jose Manuel Lopez, Tomas Garcia, Ramon Murillo
Summary: This work describes the design and operation of a pilot scale distillation column for recovering value-added products from tire pyrolysis oil, as well as the key experimental results obtained.
Article
Energy & Fuels
Sheng Wang, Chengjiang Li, Yu-jie Hu, Honglei Wang, Guoteng Xu, Gang Zhao, Shiyuan Wang
Summary: With rapid industrial development, China has become the world's largest energy consumer and CO2 emitter. This study assessed the development prospects of bio-methanol fuel with corn straw as a feedstock in China. The results showed that bio-methanol fuel has lower CO2 emissions compared to coal-to-methanol fuel and can reduce carbon emissions and save costs in the marine industry.
Article
Energy & Fuels
Xiyu Yang, Quan Dong, Xiaoyan Wang, Daijun Wei
Summary: This study proposes an innovative concept for online sensing of the injection process. By using the injector inlet as the pressure signal detection point, contactless testing of the injector is achieved. For the pilot diesel injection, the pressure signal is abstracted as the evolution and transmission of Riemann waves, and the relationship between pressure and mass flow rate is established. A data-driven injection mass neural network prediction model is constructed for the main fuel gas injection process, which achieves quantitative sensing of the injection characteristics.
Article
Energy & Fuels
M. A. Armenta, Luis H. Alvarez, V. M. Maytorena, D. A. Buentello-Montoya, R. Silva-Rodrigo, A. Olivas, L. A. Flores-Sanchez
Summary: The wet impregnation method was used to support Ag2O, CuO, and Ag2O-CuO nanoparticles on gamma-chi-Al2O3 to evaluate their catalytic capabilities in the methanol dehydration (MD) reaction for dimethyl ether (DME) production. The Ag2O-CuO/gamma-chi-Al2O3 catalyst showed high catalytic activity and stability.
Article
Energy & Fuels
Wangfang Ye, Xiaoyu Lin, Xiaomei Zhong, Qian Lan, Guifang Yang, Jianhui Huang, Yijing Wu, Zeyuan Zhao, Quan (Sophia) He, Yulong Wu, Xin Xu, Jie Yang
Summary: This study examines the impact of sodium carbonate (Na2CO3) on individual biomass components during hydrothermal liquefaction (HTL) and develops a machine learning model to predict HTL biocrude yield. The research reveals that Na2CO3 enhances carbohydrate degradation, has marginal effect on lignin, and negatively influences lipid HTL. Excessive Na2CO3 converts biocrude into aqueous-gaseous products (AG). Additionally, lipid content and Na2CO3 concentration are identified as pivotal factors in the HTL process.
Article
Energy & Fuels
G. V. Kuznetsov, D. I. Volokitin, R. S. Volkov, E. R. Podgornaya, P. A. Strizhak
Summary: This paper presents the experimental research findings on the combined and separate effect of gas temperature and pressure on slurry fuel atomization characteristics. The authors have obtained mathematical expressions to predict the atomization characteristics of composite liquid fuels in power-generating units. Maps have been plotted using dimensionless parameters to help control droplet size, velocity, jet angles, and angles of deviation from the original path.
Article
Energy & Fuels
Hong-Wei Li, Lei Wang, Jun-Nan Liu, Yue Yang, Guo-Long Lu
Summary: This study presents an innovative optimization framework that combines multi-physics structure models, machine learning, and swarm intelligence algorithms to optimize channel structure and maximize power density. Proton exchange membrane fuel cells (PEMFC) with imitated water-drop block channels are used to construct the multi-physics structure models. A database of PEMFC output performance under different structural parameters is established. A machine-learning-based surrogate model is constructed using the AdaBoost ensemble algorithm to predict the output performance under different channel parameters. The improved gray wolf optimizer fitness function is calculated using the surrogate model to establish an optimization framework for effectively optimizing the channel structure. Results show that the AdaBoost ensemble surrogate model accurately predicts the PEMFC polarization curves within one second. The optimization framework can swiftly predict the optimal channel structure and maximum power density in under two minutes. The proposed framework will guide performance prediction and multivariate optimization of channel structure.
Article
Energy & Fuels
Biliang Lin, Hongxiang Chen, Wenying Wei, Jiling Zhang, Minghao Wu, Weigang Li, Weiyan Zhu, Yifan Zhang, Yong Wang
Summary: A self-assembly method was developed to synthesize cuprous chloride/copper chloride hydroxide composites for investigating their hydrogen sulfide (H2S) removal performances. It was found that the Cu intermediate product by Fe reduction reacted with CuCl2 to form CuCl, which then self-assembled with CuCl2 and H2O to generate copper chloride hydroxides shell layer, leading to increased H2S adsorption capacity. Extensive analyses revealed the sulfidation reaction mechanism of CCCCHs, showing that the decomposition of CCHs enhanced the H2S treatment capacity substantially.
Article
Energy & Fuels
Orlando F. Cruz Jr, Jaroslaw Serafin, Fatima-Zahra Azar, Mirian E. Casco, Joaquin Silvestre-Albero, Dachamir Hotza, Carlos R. Rambo
Summary: Activated carbons prepared from Amazonian biomass by microwave-assisted hydrothermal carbonization and CO2 activation showed excellent methane adsorption performance due to their high specific surface area and narrow micropores.
Article
Energy & Fuels
Min Lyu, Renjie Zou, Guangqian Luo, Yi Xiao, Haoyu Zhang, Tianyu Zhao, Xian Li, Hong Yao
Summary: Using solid waste as a substitute for coal in power generation is an effective method to reduce CO2 emissions. However, incinerating high-sulfur and high-chlorine solid waste can increase pollutant emissions. This study proposes a new approach to self-control pollutant emissions by co-incinerating specific solid wastes. By mixing recycled papermaking waste residue and sludge with high-sulfur and high-chlorine solid waste, the emission characteristics and control mechanism of pollutants were explored. The results show that adding recycled papermaking waste residue and sludge can effectively control pollutant emissions in co-incineration.
Article
Energy & Fuels
Marianna Cafiero, Saurabh Sharma, M. Mustafa Kamal, Axel Coussement, Alessandro Parente
Summary: This study experimentally investigates the effects of aromatic doping on the combustion and pollutant emissions characteristics of an H2-rich mixture. The results reveal intriguing interactions among NO, flame temperature, and soot formation occurring in the presence of benzene. The relative importance of two competing effects determines the final NO emissions.
Article
Energy & Fuels
Zhilin Xi, Lianquan Suo, Tong Xia
Summary: In this study, the microscopic mechanism of coal spontaneous combustion (CSC) was investigated using computational chemistry. The results revealed that the reactions involved various reactive tissues and free radicals, and the reactions with free radicals played a crucial role. Understanding the key steps and heat generation process of CSC can be achieved through analyzing these reactions.
Article
Energy & Fuels
Jiayong Zhang, Qingze He, Jian Chen, Yanlei Guo, Liwen Guo, Fusheng Wang, Xiaoli Liu
Summary: This study investigates the migration mechanism of gas bubbles in the meso fissures of coal water injection using CT images and numerical simulation. The results show that the characteristics of the fissure structure play an important role in bubble migration, and the interaction among the bubbles is also a contributing factor.
Article
Energy & Fuels
Rui Liu, Lingfeng Zhong, Songhong Li, Jing Li, Haocheng Ji
Summary: This study investigates the influence of GAAI spray characteristics on biodiesel through numerical simulation. The results show that ambient pressure, fuel injection duration, and ambient temperature all play important roles in spray characteristics.
Article
Energy & Fuels
Zhongshun Sun, Xiantan Yang, Bo Zhang, Bolun Yang, Jianxuan Shang, Zhiqiang Wu
Summary: This study determined the conditions for product regulation of wheat straw pyrolysis through thermodynamic analysis. By constructing reactions, high-value components were produced. The results showed that temperature favored spontaneous endothermic reactions, while pressure did not. By adjusting temperature and pressure, the production process of the product could be controlled.
Article
Energy & Fuels
Pi-Qiang Tan, Tian-Peng Liu, Li-Shuang Duan, Yi-Fan Yin, Di-Ming Lou, Zhi-Yuan Hu
Summary: Diesel Particulate Filter (DPF) is an important technology for reducing diesel exhaust particles. The combustion of lubricant oil generates ash that can deposit in the DPF and affect its filtration efficiency. This study found that Mg-based ash has a higher fractal dimension than Ca ash, indicating a more detailed surface structure. Mg-based ash is more likely to clog and even bridge in the DPF inlet channel. The loading of ash affects the filtration efficiency of DPF for particles of different sizes.
Article
Energy & Fuels
Prajesh Jangale, Ehsan Hosseini, Mohammad Zakertabrizi, Dorrin Jarrahbashi, Mike Walker
Summary: This study aims at developing new evaporation rate and surface tension models for transcritical n-dodecane droplets using molecular dynamics (MD) simulations, bridging the gap between MD and continuum simulations and enabling the direct application of these findings to microscopic droplets.
