Article
Environmental Sciences
Jianyu Ren, Xuesong Yan, Lidong Zhang, Guohua Yang
Summary: Experimental results show that using an external electric field in dual-layer granular bed filters can effectively improve the filtration efficiency for micro-silica powder. Pre-charging the dust and adjusting the application of the electric field can reduce the outlet dust concentration and pressure drop, leading to better filtration performance.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Engineering, Chemical
Jianpeng Wang, Heqiang Zou, Hao Chen, Hanbang Ruan, Guohua Yang
Summary: This article established a dual-layer granular bed filtration model based on the dust collision rebound effect and investigated the influence of dust properties and filtration air velocity on the collision rebound effect and grade efficiencies of the filter layers. The results showed that the characteristics of dust particle size, density, and effective Young's modulus had a significant impact on the critical adhesion velocity and collision rebound effect. An increase in filtration velocity led to a decrease in grade efficiencies of each filter layer in the dual-layer granular bed.
SEPARATION AND PURIFICATION TECHNOLOGY
(2024)
Article
Energy & Fuels
Dandan Hu, Xi Zeng, Fang Wang, Mohammed Haruna Adamu, Guangwen Xu
Summary: In this study, the isothermal reaction characteristics of tar catalytic reforming by char and thermal cracking by quartz sand were comprehensively analyzed using a micro fluidized bed reactor analyzer (MFBRA). The catalytic cracking showed higher yield and lower activation energy compared to thermal cracking, impacting both tar conversion and gas generation pathways positively.
Article
Engineering, Chemical
Denis Bemer
Summary: The study aimed to establish the filtration performance of a fixed granular bed during filtration and its clogging by a liquid aerosol. Results showed that the filtration performance of granular beds during clogging was similar to fibrous media, with liquid occupying 28-33% of the pore volume and pressure drop being accurately predicted by a model.
Article
Agricultural Engineering
Max Schmid, Selina Hafner, Serge Biollaz, Joerg Schneebeli, Gebhard Waizmann, Guenter Scheffknecht
Summary: This study focuses on using limestone as a bed additive in sewage sludge gasification to reduce the production of tar, H2S, and COS. Results show that adding limestone can significantly reduce heavy tar species and decrease H2S and COS concentrations without affecting NH3 levels. This approach can effectively mitigate facility problems related to tar and reduce downstream cleaning efforts.
BIOMASS & BIOENERGY
(2021)
Article
Chemistry, Physical
Tyko Viertio, Viivi Kivela, Matti Putkonen, Johanna Kihlman, Pekka Simell
Summary: Steel filter discs were catalytically activated by ALD with Al2O3 and NiO layers for gas cleaning, reducing tar compounds in gasification gas. The stop-flow method was found to be the most suitable for preparing active and durable catalytic filters.
Article
Agronomy
Miquel Duran-Ros, Joan Pujol, Toni Pujol, Silvia Cufi, Gerard Arbat, Francisco Ramirez de Cartagena, Jaume Puig-Bargues
Summary: Pressurized sand media filters used in drip irrigation systems can be improved by considering retention of solids at different bed depths, filter operation conditions, and irrigation water sources. This study conducted experiments in a scaled sand media filter to determine the effects of filtration velocity, bed depth, and particle type on solid retention. Results showed that solids were retained more in the upper slices and the first 5 mm of the bed, and inorganic solids retained more than organic ones. These findings suggest that media depths can be adjusted to optimize media use based on the irrigation water source.
Article
Engineering, Chemical
Jianping Du, Chuanping Liu, Shaowu Yin, Ali Rehman, Yulong Ding, Li Wang
Summary: The study discusses the impact of filtering granule particle size and filtration superficial velocity on dust particle size distribution in different layers of a granular bed system. Increasing the size of filter granules and raising the superficial velocity of the inlet flue gas are both effective ways to enhance the dust-holding capacity of the granular bed, particularly for larger dust particles.
Article
Energy & Fuels
Sweta Singh, Soubhik Kumar Bhaumik, Li Dong, Hari Vuthaluru
Summary: The integration of adsorption treatment in steam catalytic tar reforming using biochar significantly improves the removal of tar components, especially at low temperatures. The two-step process shows substantial removal of light tar compounds, with reforming contributing 40% and adsorption contributing 60% to the overall tar removal.
Article
Thermodynamics
Shuping Zhang, Haoxin Yin, Jiaxing Wang, Shuguang Zhu, Yuanquan Xiong
Summary: The study synthesized novel Ni nanoparticles embedded carbon nanofiber/porous carbon catalysts for catalytic cracking of biomass tar, which exhibited favorable catalytic activity and stability. The catalyst showed a good activity-structure relationship, effectively inhibiting coke deposition and sintering of metallic Ni.
Article
Engineering, Chemical
Han Lv, Yiping Fan, Kai Xing, Chunxi Lu
Summary: Moving bed granular filters are widely used for high-temperature gas filtration. The performance of capturing particles is crucial in determining the filter's efficiency. Experimental results showed that the filter's performance was similar when using different capturing granules under the same operating conditions. Lower gas or granule velocity resulted in higher filtration efficiency. The empirical relationship between single particle trapping mechanism and total efficiency of the filter was proposed based on particle size distribution, particle shape, and theoretical analysis of the void fraction construction.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2022)
Article
Thermodynamics
Yuan Jiang, Peijie Zong, Yuan Bao, Xin Zhang, Haixin Wei, Bin Tian, Yuanyu Tian, Yingyun Qiao, Juntao Zhang
Summary: The study investigates the impact of catalyst height and temperature on the catalytic cracking of gaseous tar, showing that the utilization of catalyst promotes tar removal and reduces tar yield. The main components of coal tar are aromatics and high-carbon-number aliphatics, and the addition of catalyst increases the content of CH4 and H-2. Increasing catalyst height and temperature enhances aromatics content and facilitates the conversion of high-carbon-number components to low-carbon-number ones.
Article
Engineering, Chemical
Xin Liu, M. Matti Maricq, Douglas A. Dobson
Summary: A new statistical capillary tube model is proposed to predict filtration efficiency and permeability of particulate filters. The model considers the filter media's porous structure as an assembly of curved capillary tubes with a statistical size distribution. Compared with the widely used spherical model, the capillary tube model provides additional permeability prediction and better filtration predictions over a wider range of porosity, including lower porosity of washcoated filters.
SEPARATION AND PURIFICATION TECHNOLOGY
(2022)
Article
Engineering, Environmental
Qi Chen, Guiwei Li, Zhili Lu, Yuliang Su, Bin Wu, Baoyou Shi
Summary: This study investigated the removal of manganese(II) by granular activated carbon (GAC) filtration. The results showed that biological GAC filter columns were effective in reducing Mn(II) levels, while sand filter columns did not show significant Mn(II) removal capability. Water quality changes, pretreatment with NaClO, and MnOx coating on GAC media surface did not affect the Mn(II) removal capacity of GAC filters.
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Chemistry, Analytical
Xi Zeng, Limin Wang, Fang Wang, Dandan Hu, Peng Wu, Xiaoyong Lai
Summary: This study investigated the reaction characteristics of tar thermal cracking and steam reforming using a micro fluidized bed reaction analyzer (MFBRA). The yields of gas components and carbon conversion were calculated and compared at different temperatures and steam partial pressures. The results showed that by raising temperature and steam partial pressure, the yields of H2/CO/CH4 and carbon conversion increased, while the trend of CO2 was initially increasing and subsequently decreasing. The reaction time in tar steam reforming was longer compared to thermal cracking, and there was a reduction in all reaction rates of gas generation and carbon conversion. Additionally, the activated energy of gas components generation and total carbon conversion decreased in tar steam reforming, and steam partial pressure had no impact on the activated energy.
JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS
(2023)
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.