Effects analysis on the gasification kinetic characteristics of food waste in supercritical water

被引:111
作者
Chen, Jingwei [1 ,2 ,3 ]
Fan, Yi [1 ,2 ]
E, Jiaqiang [1 ,2 ,3 ]
Cao, Wen [4 ]
Zhang, Feng [1 ,2 ,3 ]
Gong, Jinke [1 ,2 ,3 ]
Liu, Guanlin [1 ,2 ,3 ]
Xu, Wenwen [1 ,2 ,3 ]
机构
[1] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China
[2] Hunan Univ, Coll Mech & Vehicle Engn, Changsha 410082, Hunan, Peoples R China
[3] Hunan Univ, Inst New Energy & Energy Saving & Emiss Reduct Te, Changsha 410082, Hunan, Peoples R China
[4] Xi An Jiao Tong Univ, State Key Lab Multiphase Flow Power Engn, Xian 710049, Peoples R China
基金
中国国家自然科学基金;
关键词
Food waste; Supercritical water gasification; Gasification kinetic; RANDOM PORE MODEL; STEAM GASIFICATION; BIOMASS GASIFICATION; HYDROGEN-PRODUCTION; COAL-CHAR; COMBUSTION CHARACTERISTICS; HYDROTHERMAL CONVERSION; SOLID REACTIONS; PYROLYSIS; ALKALI;
D O I
10.1016/j.fuel.2018.12.012
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The gasification kinetic characteristics of food waste (FW) gasification by supercritical water (SCW) were investigated by examining the SCW gasification (SCWG) of FW in a quartz tube reactor, and the experimental results were investigated by using a series of kinetic models. The experimental results show that the carbon gasification efficiency increases with reaction temperature at the same residence time, and reactivity increases sharply at the early stage of gasification and then decreases with reaction time. The simulation results show that all the classical kinetic models underestimate the experimental results, similar to the models used in previous work on coal gasification by SCW. The underestimation of the models results from the catalytic effect of alkaline earth metals (AAEMs), which can notably increase the active sites of gasification reaction without changing the gasification kinetic mechanism. To solve the above problem, the catalytical effect to describe the kinetic behavior of the SCWG of FW is considered and a semiempirical modified random pore model (MRPM) is developed based on the RPM model. The simulation results of the MRP models are close to experimental findings, indicating that MRP model can be used to predict the entire process of SCWG under different conditions without dividing gasification into different stages of reaction. The MRP model can also be used for the prediction of SCWG of coal, biomass, and organic wastes and is crucial to reactor optimization and scaling up.
引用
收藏
页码:94 / 104
页数:11
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