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Simulation on the Electric and Thermal Fields of a Microwave Reactor for Ex Situ Biomass Tar Elimination

Author

Listed:
  • Cheng Yang

    (Department of Engineering, Huzhou University, Huzhou 313000, China)

  • Kanfeng Ying

    (Department of Engineering, Huzhou University, Huzhou 313000, China)

  • Fan Yang

    (Department of Engineering, Huzhou University, Huzhou 313000, China)

  • Huanghu Peng

    (Department of Engineering, Huzhou University, Huzhou 313000, China)

  • Zezhou Chen

    (Department of Engineering, Huzhou University, Huzhou 313000, China)

Abstract

Microwave treatment is an emerging technique for biomass tar elimination. The electric and thermal fields of the microwave reactor are the key to high elimination efficiency and energy utilization. In this work, we simulated the electric and thermal fields of a microwave reactor with various parameters including irradiation feed position, microwave power, silicon carbide length and flow velocity. Results show that the irradiation feed position that locates 5 mm vertically to the central plane can obtain the highest electric intensity and silicon carbide temperature (ca. 1100 K) after wave absorbing. Both the electric and thermal fields are strengthened when microwave power is increased. Extending the silicon carbide bed length will decrease the bed temperature and heating rate. A high flow velocity leads to non-uniform temperature distribution of the silicon carbide. For the purpose of achieving a high microwave energy utilization and uniform bed temperature, suitable irradiation feed position ( z i = 5 mm), high microwave power ( P = 1000 W), short silicon carbide bed length ( l SiC = 100 mm) and low flow velocity ( v = 0.02 m/s) are preferred, but the chemical kinetics of biomass tar elimination should also be considered in the practical application.

Suggested Citation

  • Cheng Yang & Kanfeng Ying & Fan Yang & Huanghu Peng & Zezhou Chen, 2022. "Simulation on the Electric and Thermal Fields of a Microwave Reactor for Ex Situ Biomass Tar Elimination," Energies, MDPI, vol. 15(11), pages 1-12, June.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:4143-:d:831803
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    Cited by:

    1. Muhammad Yousaf Arshad & Muhammad Azam Saeed & Muhammad Wasim Tahir & Halina Pawlak-Kruczek & Anam Suhail Ahmad & Lukasz Niedzwiecki, 2023. "Advancing Sustainable Decomposition of Biomass Tar Model Compound: Machine Learning, Kinetic Modeling, and Experimental Investigation in a Non-Thermal Plasma Dielectric Barrier Discharge Reactor," Energies, MDPI, vol. 16(15), pages 1-26, August.

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