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Experimental analysis of critical operating parameters on heat storage and oxidation performances in a VAM-fueled flow-reversal reactor

Author

Listed:
  • Xiao, Lu
  • Yang, Leiqi
  • Yang, Jiaze
  • Tang, Aikun
  • Cai, Tao
  • Liu, Houlin
  • Tan, Minggao
  • Gan, Hailong

Abstract

This work presents an experimental investigation of heat storage and oxidation of a ventilation air methane-fueled flow-reversal reactor with three fixed beds and air sweeping. Effects of the gas flow rate, methane concentration, switching, and sweeping time are systematically explored and analyzed. Results indicate that both system temperature and methane conversion rate are periodically changed with time. There is a critical gas flow rate, above which the combustor average temperature and methane concentration rate are less affected. Meanwhile, the minimal methane concentrations for the system maintaining sustained thermal equilibrium are identified. Varying the gas flow rate from 950 to 1350 m3/h enables the minimum auto-thermal methane concentration to be reduced from 0.76 % to 0.64 %, an approximate percentage drop of 15.8 %. Further, decreasing the switching time is beneficial to elevating the average temperature by approximate 13.4 °C and narrowing down the oscillation amplitude, thus facilitating the system stability. This is mostly because the high-temperature exhausted gases are more likely to be trapped in the combustion chamber, thus enhancing heat transfer. Finally, the average temperature is shown to have a non-monotonic dependence on the sweeping time with the optimal time of 20 s.

Suggested Citation

  • Xiao, Lu & Yang, Leiqi & Yang, Jiaze & Tang, Aikun & Cai, Tao & Liu, Houlin & Tan, Minggao & Gan, Hailong, 2025. "Experimental analysis of critical operating parameters on heat storage and oxidation performances in a VAM-fueled flow-reversal reactor," Energy, Elsevier, vol. 322(C).
  • Handle: RePEc:eee:energy:v:322:y:2025:i:c:s036054422501401x
    DOI: 10.1016/j.energy.2025.135759
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    References listed on IDEAS

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    1. Cai, Tao & Tang, Aikun & Zhang, Qian & Ni, Qiang & Li, Jianming, 2025. "A systematic review of enhancing stabilization performance and mitigating thermoacoustic instability in renewable ammonia turbulent combustion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 217(C).
    2. Gosiewski, Krzysztof & Pawlaczyk, Anna & Jaschik, Manfred, 2015. "Energy recovery from ventilation air methane via reverse-flow reactors," Energy, Elsevier, vol. 92(P1), pages 13-23.
    3. Zhang, Zhiqing & Wang, Su & Pan, Mingzhang & Lv, Junshuai & Lu, Kai & Ye, Yanshuai & Tan, Dongli, 2024. "Utilization of hydrogen-diesel blends for the improvements of a dual-fuel engine based on the improved Taguchi methodology," Energy, Elsevier, vol. 292(C).
    4. Karakurt, Izzet & Aydin, Gokhan & Aydiner, Kerim, 2011. "Mine ventilation air methane as a sustainable energy source," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1042-1049, February.
    5. Tan, Dongli & Wu, Yao & Lv, Junshuai & Li, Jian & Ou, Xiaoyu & Meng, Yujun & Lan, Guanglin & Chen, Yanhui & Zhang, Zhiqing, 2023. "Performance optimization of a diesel engine fueled with hydrogen/biodiesel with water addition based on the response surface methodology," Energy, Elsevier, vol. 263(PC).
    6. Shi, Yueyue & Liu, Yongqi & Zhou, Yuqi & Shi, Junrui & Qi, Xiaoni & Mao, Mingming, 2023. "Study in mitigation of lean methane and stable heat recovery via embedded heat exchanger tubes in the regenerative monolith bed," Renewable Energy, Elsevier, vol. 218(C).
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