On the Formation of Polychlorinated dibenzo-<I>p</I>-dioxins and Polychlorinated Dibenzofurans in Combustion of Artificial Refuse Derived Fuel Using a Laboratory-scale Fluidized-bed Combustion Reactor

• Ishibashi Noriaki

  Research Center for Eco-Technology, Ritsumeikan University

• Okajima Shigenobu

  Research Center for Eco-Technology, Ritsumeikan University

• Yoshihara Yoshinobu

  Department of Mechanical Engineering, Faculty of Engineering, Ritsumeikan University

• Nishiwaki Kazuie

  Department of Mechanical Engineering, Faculty of Engineering, Ritsumeikan University

• Hiraoka Masakatsu

  Research Center for Eco-Technology, Ritsumeikan University

Bibliographic Information

Other Title

• 模擬RDFを用いた燃焼におけるダイオキシン類の生成に関する研究
• モギ RDF オ モチイタ ネンショウ ニ オケル ダイオキシンルイ ノ セイセイ ニ カンスル ケンキュウ

Abstract

To clarify the effects of combustion-and composition-related parameters on the promotion and prevention of the formation of polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs) in municipal solid waste incineration, multiple regression analysis has been carried out by analyzing the experimental data obtained at the laboratory-scale fluidized-bed combustion reactor. The laboratory-scale fluidized-bed combustion reactor, to which artificial refuse derived fuel is fed, is designed to simulate the combustion process in a municipal solid waste incinerator. The artificial refuse derived fuels used are made of pulverized materials, which are typical of municipal solid wastes. The result of multiple regression analysis shows that volatility, Cu contents in the RDF, and HCl, CO concentrations, promote the generation of PCDDs and PCDFs in the flue gas.

Journal

• Journal of the Japan Society of Waste Management Experts

  Journal of the Japan Society of Waste Management Experts 12 (3), 112-121, 2001

  Japan Society of Material Cycles and Waste Management

Keywords

• dioxins
• municipal solid waste incinerator
• refuse derived fuels
• multiple regression analysis

Details

• CRID: 1390001205297258368
• NII Article ID: 10006247652
• NII Book ID: AN10414685
• DOI: 10.3985/jswme.12.112
• ISSN: 1883163X
• ISSN: 18831648
• NDL BIB ID: 5802127
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I5802127
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed