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| 1 | Elemental mercury (Hg^(0)) removal from coal syngas using magnetic tea-biochar: Experimental and theoretical insights显示文摘Mercury is ranked 3^(rd)as a global pollutant because of its long persistence in the environment. Approximately 65% of its anthropogenic emission (Hg^(0)) to the atmosphere is from coal-thermal power plants. Thus, the Hg^(0)emission control from coal-thermal power plants is inevitable. Therefore, multiple sorbent materials were synthesized using a one-step pyrolysis method to capture the Hg^(0)from simulated coal syngas. Results showed, the Hg^(0)removal performance of the sorbents increased by the citric acid/ultrasonic application.T5CUF_(0.3)demonstrated the highest Hg^(0)capturing performance with an adsorption capacity of 106.81 μg/g within 60 min at 200 °C under complex simulated syngas mixture (20% CO,20% H_(2), 10 ppm V HCl, 6% H_(2)O, and 400 ppm V H_(2)S). The Hg^(0)removal mechanism was proposed, revealing that the chemisorption governs the Hg^(0)removal process. Besides, the active Hg^(0)removal performance is attributed to the high dispersion of valence Fe_(3)O_(4)and lattice oxygen (α) contents over the T5CUF_(0.3)surface. In addition, the temperature programmed desorption (TPD) and XPS analysis confirmed that H_(2)S/HCl gases generate active sites over the sorbent surface, facilitating high Hg^(0)adsorption from syngas. This work represented a facile and practical pathway for utilizing cheap and eco-friendly tea waste to control the Hg^(0)emission. | Adnan Raza Altaf Yusuf GAdewuyi Haipeng Teng Gang Liu Fazeel Abid | 2022 | Journal of Environmental Sciences2022，34，12： | 2 |
| 2 | A Model for Agglomeration in Bio-fuel Fired Fluidized Bed显示文摘A mathematical model has been developed to describe the agglomeration process in bio-fuel fired fluidized bed combustor.Based on the balance mechanism of the adhesive force caused by liquid bonding between two particles and the breaking force induced by bubbles in the fluidized bed,the model considers modified Urbain model and chemical equilibrium calculations using FactSage modeling.This model prediction accounts for the evolvement of the adhesive and breaking forces,and clearly demonstrates that the different composition of ash,the increasing liquid phase matter and the fluidization velocity cause defluidization in fluidized bed.In this model,it is the first time to hypothesize that the bonding stress between two particles is proportional to mass fraction of liquid phase and inversely proportional to the diameter of particles and viscosity of liquid phase.The defluidization time calculated by this model shows good agreement with that from the experimental data. | Shiyuan Li Linlin Shang Haipeng Teng Qinggang Lu | 2010 | Journal of Thermal Science2010，19，5： | 2 |
| 3 | Multi-fluid Eulerian simulation of mixing of binary particles in a gas-solid fluidized bed with a cohesive particle-particle drag model显示文摘A particle-particle(p-p)drag model is extended to cohesive particle flow by introducing solid surface energy to characterize cohesive collision energy loss.The effects of the proportion of cohesive particles on the mixing of binary particles were numerically investigated with the use of a Eulerian multiphase flow model incorporating the p-p drag model.The bed expansion,mixing,and segregation of Geldart-A and C particles were simulated with varying superficial velocities and Geldart-C particle proportions,from which we found that the p-p drag model can reasonably predict bed expansion of binary particles.Two segregation types of jetsam-mixture-flotsam and mixture-flotsam processes were observed during the fluidization processes for the Geldart-A and C binary particle system.The mixing processes of the binary particle system can be divided into three scales:macro-scale mixing,meso-scale mixing,and micro-scale mixing.At a constant superficial velocity the optimal mixing was observed for a certain cohesive particle proportion. | Liping Wei Guodong Jiang Haipeng Teng Jun Hu Jianbo Zhu | 2020 | Particuology2020，18，2： | 2 |
| 4 | The probabilistic life time prediction model of oil pipeline due to local corrosion crack显示文摘 | Jun Hu Yangyang Tian Haipeng Teng Lijun Yu Maosheng Zheng | 2014 | Theoretical and Applied Fracture Mechanics2014，，： | 1 |
| 5 | Kinetic analysis and modeling of maize straw hydrochar combustion using a multi-Gaussian-distributed activation energy model显示文摘Combustion kinetics of the hydrochar was investigated using a multi-Gaussian-distributed activation energy model(DAEM)to ex-pand the knowledge on the combustion mechanisms.The results demonstrated that the kinetic parameters calculated by the multi-Gaussian-DAEM accurately represented the experimental conversion rate curves.Overall,the feedstock combustion could be divided into four stages:the decomposition of hemicellulose,cellulose,lignin,and char combustion.The hydrochar combustion could in turn be divided into three stages:the combustion of cellulose,lignin,and char.The mean activation energy ranges obtained for the cellulose,lignin,and char were 273.7-292.8,315.1-334.5,and 354.4-370 kJ/mol,respectively,with the standard deviations of 2.1-23.1,9.5-27.4,and 12.1-22.9 kJ/mol,re-spectively.The cellulose and lignin contents first increased and then decreased with increasing hydrothermal carbonization(HTC)temperature,while the mass fraction of char gradually increased. | Chunmei Yu Shan Ren Guangwei Wang Junjun Xu Haipeng Teng Tao Li Chunchao Huang Chuan Wang | 2022 | International Journal of Minerals,Metallurgy and Materials2022，29，3： | 1 |
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