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Prediction of the equilibrium compositions in the combustion products of a domestic boiler

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  • Yılmaz, Semih
  • Kumlutaş, Dilek
  • Yücekaya, Utku Alp
  • Cumbul, Ahmet Yakup

Abstract

In this study, two prediction models were developed to determine equilibrium compositions in the combustion products of a domestic boiler. These models are based on the Gibbs energy minimization and equilibrium constant methods. According to the domestic boiler standards (EN 15502–1 and EN 437), gaseous fuels (G20, G25, and NG) were selected to predict gaseous emissions. A novel investigation was realized for a domestic boiler's lean premixed burner in compliance with relevant standards. In the range of 0.6–0.9 equivalence ratio, the equilibrium compositions of the species were obtained.

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  • Yılmaz, Semih & Kumlutaş, Dilek & Yücekaya, Utku Alp & Cumbul, Ahmet Yakup, 2021. "Prediction of the equilibrium compositions in the combustion products of a domestic boiler," Energy, Elsevier, vol. 233(C).
    • Handle: RePEc:eee:energy:v:233:y:2021:i:c:s0360544221013712
    DOI: 10.1016/j.energy.2021.121123
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    References listed on IDEAS

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    1. Lo Basso, Gianluigi & Nastasi, Benedetto & Astiaso Garcia, Davide & Cumo, Fabrizio, 2017. "How to handle the Hydrogen enriched Natural Gas blends in combustion efficiency measurement procedure of conventional and condensing boilers," Energy, Elsevier, vol. 123(C), pages 615-636.
    2. Lee, Seungro & Kum, Sung-Min & Lee, Chang-Eon, 2011. "An experimental study of a cylindrical multi-hole premixed burner for the development of a condensing gas boiler," Energy, Elsevier, vol. 36(7), pages 4150-4157.
    3. Lee, Seungro & Kum, Sung-Min & Lee, Chang-Eon, 2011. "Performances of a heat exchanger and pilot boiler for the development of a condensing gas boiler," Energy, Elsevier, vol. 36(7), pages 3945-3951.
    4. Mohr, Manuel & Klančišar, Marko & Schloen, Tim & Samec, Niko & Kokalj, Filip, 2018. "Numerical analysis of a non-steady state phenomenon during the ignition process in a condensing boiler," Energy, Elsevier, vol. 158(C), pages 623-631.
    5. Karasu, Seçkin & Altan, Aytaç & Bekiros, Stelios & Ahmad, Wasim, 2020. "A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series," Energy, Elsevier, vol. 212(C).
    6. Soltanian, Hossein & Targhi, Mohammad Zabetian & Pasdarshahri, Hadi, 2019. "Chemiluminescence usage in finding optimum operating range of multi-hole burners," Energy, Elsevier, vol. 180(C), pages 398-404.
    7. Hinrichs, Jörn & Felsmann, Daniel & Schweitzer-De Bortoli, Stefan & Tomczak, Heinz-Jörg & Pitsch, Heinz, 2018. "Numerical and experimental investigation of pollutant formation and emissions in a full-scale cylindrical heating unit of a condensing gas boiler," Applied Energy, Elsevier, vol. 229(C), pages 977-989.
    8. Yang, Guotian & Wang, Yingnan & Li, Xinli, 2020. "Prediction of the NOx emissions from thermal power plant using long-short term memory neural network," Energy, Elsevier, vol. 192(C).
    9. Najarnikoo, Mahdi & Targhi, Mohammad Zabetian & Pasdarshahri, Hadi, 2019. "Experimental study on the flame stability and color characterization of cylindrical premixed perforated burner of condensing boiler by image processing method," Energy, Elsevier, vol. 189(C).
    10. Satyavada, Harish & Baldi, Simone, 2018. "Monitoring energy efficiency of condensing boilers via hybrid first-principle modelling and estimation," Energy, Elsevier, vol. 142(C), pages 121-129.
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    2. Yılmaz, Semih & Kumlutaş, Dilek & Özer, Özgün & Yücekaya, Utku Alp & Avcı, Hasan & Cumbul, Ahmet Yakup, 2024. "Parametric investigation of premixed gas inlet conditions effects on flow and combustion characteristics," Applied Energy, Elsevier, vol. 353(PA).

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