Optimization of Torrefaction Parameters Using Metaheuristic Approach

被引:0
作者
Dhaundiyal, Alok [1 ,2 ]
Toth, Laszlo [3 ]
机构
[1] Ctr Energy Res, Konkoly Mika Utca 29-33, H-1121 Budapest, Hungary
[2] Uttarakhand Tech Univ, THDC Inst Hydropower Engn & Technol, Dept Mech Engn, Tehri Garhwal 249124, Uttarakhand, India
[3] Hungarian Univ Agr & Life Sci, Inst Technol, H-2100 Godollo, Hungary
关键词
pre-treatment; pyrolysis; temperature; time; forest waste; optimization; OIL; CARBONIZATION; TEMPERATURE; BIOMASS;
D O I
10.3390/en17133314
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 probabilistic technique was used to optimize the torrefaction parameters that indirectly influence the yield of end-products obtained through the pyrolysis of biomass. In the same pursuit, pine cones underwent thermal pre-treatment at 210 degrees C, 220 degrees C, 230 degrees C, 240 degrees C, and 250 degrees C in the presence of N2 gas with a flowing rate of 0.7 L center dot s-1, whereas the duration of the pre-treatment process was 5 min, 10 min, and 15 min at each. To facilitate the processing of pine waste, a muffle furnace was improvised for pilot-scale testing. The thermal process used to carry out torrefaction was quasi-static. The average dynamic head of volatile gases inside the chamber was 1.04 m. The criteria for determining the optimal solution were based on calorific value, solid yield, energy consumption during the pre-treatment process, and ash handling. In absolute terms, time and temperature did not influence the statistical deviation in cellulose and hemicellulose decomposition after thermal pre-treatment. While considering ash content as a primal factor, thermal processing should be conducted for 5 min at 210 degrees C for the bounded operating conditions, which are similar to the operating conditions obtained experimentally. The optimal solid yield would be obtained if the thermal pre-treatment is performed at 250 degrees C for 5 min. The solution derived through a simulated annealing technique provided a better convergence with the experimental dataset.
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页数:18
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