利用COMSOL有限元软件对3种微波热解影响因素进行计算分析,结果表明在不同波导位置工况下,平均温度差值最大达50%,微波能吸收效率最高可达92%;加入典型吸收剂炭球后可提升生物质对微波能的吸收效率,使得生物质的平均温度升高,能效最高可提高5%;通过给生物质添加旋转速度可优化其温度均匀性,有、无旋转速度的温度标准差相差最大约26%,但旋转速度对温度均匀性的影响较小。
Abstract
In this paper,COMSOL is used to calculate and analyze three influencing factors of microwave pyrolysis. The results show thatthe maximum difference in average temperature is more than 50%,and the maximum microwave energy absorption efficiency is 92% under the calculation conditions. Adding akindoftypical absorbent agentcarbon spheres can improve the energy absorption efficiency of biomass, resulting in the average temperature of biomassincreasing, and the energy efficiency can be increased by 5% at most. The temperature uniformity of biomass can be optimized by adding rotation speed,the maximum temperature standard deviation difference between with and without rotation speed is about 26%. However, the rotation speed has little effect on the temperature uniformity.
关键词
生物质 /
微波 /
热解 /
吸收剂 /
数值模拟 /
能效
Key words
biomass /
microwaves /
pyrolysis /
microwave-absorbent agent /
simulation /
energy efficiency
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参考文献
[1] XIE Q L, BORGES F C, CHENG Y L, et al.Fast microwave-assisted catalytic gasification of biomass for syngas production and tar removal[J]. Bioresource technology, 2014, 156: 291-296.
[2] YU S Z, DUAN Y, ZHOU X, et al.Three-dimensional simulation of a novel microwave-assisted heating device for methyl ricinoleate pyrolysis[J]. Applied thermal engineering, 2019, 153: 341-351.
[3] ONG M Y, NOMANBHAY S.Design and modeling of an enhanced microwave reactor for biodiesel production[J]. International journal of scientific and research publications, 2018, 8(12): 527-533.
[4] ZHANG Y N, KE C F, FU W M, et al.Simulation of microwave-assisted gasification of biomass:a review[J]. Renewable energy, 2020, 154: 488-496.
[5] GUO F Q, LI X L, LIU Y, et al.Catalytic cracking of biomass pyrolysis tar over char-supported catalysts[J]. Energy conversion and management, 2018, 167: 81-90.
[6] CIACCI T, GALGANO A, BLASI C D.Numerical simulation of the electromagnetic field and the heat and mass transfer processes during microwave-induced pyrolysis of a wood block[J]. Chemical engineering science, 2010, 65(14): 4117-4133.
[7] ZHANG Y N, KE C F, GAO Y N, et al.Syngas production from microwave-assisted air gasification of biomass: part 2 model validation[J]. Renewable energy, 2019, 140: 625-632.
[8] WANG K, ZHANG H Y, CHU S, et al.Pyrolysis of single large biomass particle: simulation and experiments[J]. Chinese journal of chemical engineering, 2021, 29: 375-382.
[9] SALEMA A A, AFZAL M T.Numerical simulation of heating behaviour in biomass bed and pellets under multimode microwave system[J]. International journal of thermal sciences, 2015, 91: 12-24.
[10] HUSSAIN S A, BANO S, YEOH H S, et al.Simulation on temperature distribution of oil palm empty fruit bunches during the microwave pyrolysis process[J]. Asia-pacific journal of chemical engineering, 2014, 9(1): 39-49.
[11] KE C F, ZHANG Y N, GAO Y N, et al.Syngas production from microwave-assisted air gasification of biomass: part 1 model development[J]. Renewable energy, 2019, 140: 772-778.
[12] ACEVEDO L, USÓN S, UCHE J. Numerical study of cullet glass subjected to microwave heating and SiC susceptor effects. Part I: combined electric and thermal model[J]. Energy conversion and management, 2015, 97: 439-457.
[13] MOKHTA Z, ONG M Y, SALMAN B, et al.Simulation studies on microwave-assisted pyrolysis of biomass for bioenergy production with special attention on waveguide number and location[J]. Energy, 2020, 190: 116474.
[14] ABDUL H S, JIM S.Simulation study of parameters influencing microwave heating of biomass[J]. Journal of the Energy Institute, 2018, 92(4): 1191-1212.
[15] MUTSENGERERE S, CHIHOBO C, MUSADEMBA D, et al.A review of operating parameters affecting bio-oil yield in microwave pyrolysis of lignocellulosic biomass[J]. Renewable and sustainable energy reviews, 2019, 104: 328-336.