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Cites:

Information Journal Paper

Title

Investigation of no emission in a heat recovery steam generator boiler using computational fluid dynamics

Pages

  133-143

Abstract

 In this study, NO emission in a HRSG boiler was investigated using CFD. The comparison between the predicted results and measured values showed good agreement, which implied that the adopted combustion and NO formation models are suitable for predicting the characteristics of the flow, combustion, and NO emission in the boiler. The predicted results showed that the NO formation in the HRSG boiler is quite sensitive to fluid flow, temperature, and oxygen concentration distributions. In addition, the influence of the Equivalence ratio at a fixed air mass flow rate on the flame temperature and NO formation was investigated. The results revealed that with increasing the Equivalence ratio in the fuel-lean condition, higher flame temperatures established in the boiler and more NO formed. However, in the fuel-rich condition, increasing the Equivalence ratio at a fixed air mass flow rate caused a decreasing trend in flame temperature and the NO formation. The maximum flame temperature and NO formation are found at the stoichiometric condition.

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  • Cite

    APA: Copy

    KHOSHHAL, ABBAS, & Yazdani, Hamid. (2018). Investigation of no emission in a heat recovery steam generator boiler using computational fluid dynamics. JOURNAL OF APPLIED RESEARCHES IN CHEMISTRY (JARC), 12(3 ), 133-143. SID. https://sid.ir/paper/366033/en

    Vancouver: Copy

    KHOSHHAL ABBAS, Yazdani Hamid. Investigation of no emission in a heat recovery steam generator boiler using computational fluid dynamics. JOURNAL OF APPLIED RESEARCHES IN CHEMISTRY (JARC)[Internet]. 2018;12(3 ):133-143. Available from: https://sid.ir/paper/366033/en

    IEEE: Copy

    ABBAS KHOSHHAL, and Hamid Yazdani, “Investigation of no emission in a heat recovery steam generator boiler using computational fluid dynamics,” JOURNAL OF APPLIED RESEARCHES IN CHEMISTRY (JARC), vol. 12, no. 3 , pp. 133–143, 2018, [Online]. Available: https://sid.ir/paper/366033/en

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