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Towards ideal NOx control technology for bio-oils and a gas multi-fuel boiler system using a plasma-chemical hybrid process

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  • Fujishima, Hidekatsu
  • Takekoshi, Kenichi
  • Kuroki, Tomoyuki
  • Tanaka, Atsushi
  • Otsuka, Keiichi
  • Okubo, Masaaki

Abstract

A super-clean boiler system comprising a multi-fuel boiler and a reactor for plasma-chemical hybrid NOx aftertreatment is developed, and its industrial applications are examined. The purpose of this research is to optimally reduce NOx emission and utilize waste bio-oil as a renewable energy source. First, NO oxidation using indirect plasma at elevated flue gas temperatures is investigated. It is clarified that more than 98% of NO is oxidized when the temperature of the flue gas is less than 130°C. Three types of waste bio-oils (waste vegetable oil, rice bran oil, and fish oil) are burned in the boiler as fuels with a rotary-type burner for CO2 reduction considering carbon neutrality. NOx in the flue gases of these bio-oils is effectively reduced by the indirect plasma-chemical hybrid treatment. Ultralow NOx emission less than 2ppm is achieved for 450min in the firing of city natural gas fuel. The boiler system can be successfully operated automatically according to unsteady steam demand and using an empirical equation for Na2SO3 supply rate, and can be used in industries as an ideal NOx control technology.

Suggested Citation

  • Fujishima, Hidekatsu & Takekoshi, Kenichi & Kuroki, Tomoyuki & Tanaka, Atsushi & Otsuka, Keiichi & Okubo, Masaaki, 2013. "Towards ideal NOx control technology for bio-oils and a gas multi-fuel boiler system using a plasma-chemical hybrid process," Applied Energy, Elsevier, vol. 111(C), pages 394-400.
    • Handle: RePEc:eee:appene:v:111:y:2013:i:c:p:394-400
    DOI: 10.1016/j.apenergy.2013.05.011
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    References listed on IDEAS

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    1. Varuvel, Edwin Geo & Mrad, Nadia & Tazerout, Mohand & Aloui, Fethi, 2012. "Assessment of liquid fuel (bio-oil) production from waste fish fat and utilization in diesel engine," Applied Energy, Elsevier, vol. 100(C), pages 249-257.
    2. Chiaramonti, David & Rizzo, Andrea Maria & Spadi, Adriano & Prussi, Matteo & Riccio, Giovanni & Martelli, Francesco, 2013. "Exhaust emissions from liquid fuel micro gas turbine fed with diesel oil, biodiesel and vegetable oil," Applied Energy, Elsevier, vol. 101(C), pages 349-356.
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    Cited by:

    1. Hansen, Samuel & Mirkouei, Amin & Diaz, Luis A., 2020. "A comprehensive state-of-technology review for upgrading bio-oil to renewable or blended hydrocarbon fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    2. Homod, Raad Z. & Munahi, Basil Sh. & Mohammed, Hayder Ibrahim & Albadr, Musatafa Abbas Abbood & Abderrahmane, AISSA & Mahdi, Jasim M. & Ben Hamida, Mohamed Bechir & Alhasnawi, Bilal Naji & Albahri, A., 2024. "Deep clustering of reinforcement learning based on the bang-bang principle to optimize the energy in multi-boiler for intelligent buildings," Applied Energy, Elsevier, vol. 356(C).
    3. Liang, Zhanwei & Chen, Hongwei & Zhao, Bin & Jia, Jiandong & Cheng, Kai, 2018. "Synergetic effects of firing gases/coal blends and adopting deep air staging on combustion characteristics," Applied Energy, Elsevier, vol. 228(C), pages 499-511.
    4. Kim, Taegyu & Jo, Sungkwon & Song, Young-Hoon & Lee, Dae Hoon, 2014. "Synergetic mechanism of methanol–steam reforming reaction in a catalytic reactor with electric discharges," Applied Energy, Elsevier, vol. 113(C), pages 1692-1699.

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