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Oxygen consumption as the definitive factor in predicting heat of combustion

Author

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  • Merckel, R.D.
  • Labuschagne, F.J.W.J.
  • Heydenrych, M.D.

Abstract

An accurate one parameter correlation for estimating higher heating value (HHV) as a function of the mass fraction of oxygen consumed by combustion is presented. In its derivation, a theoretical and quantitative approach based on the reduction/oxidation half-reactions of the combustion reaction is used. The derivation relates HHV to changes in bond dissociation enthalpies with respect to the oxygen species and fuel elements. HHV is found to be a strong proportional function of changes in bond enthalpies with respect to the oxygen species compared to the other fuel elements, and may be described simply as Δch°HHV=-13.87mO2-Δhvap(MJkg-1), where mO2 is the mass of oxygen required for combustion per 1kg of fuel. The constant is a simplification of a modifier function μDH=-13.87e-0.092xO2(MJkg-1) (being a function of the mass fraction of oxygen consumption only) that is used to reduce the complexity of the theoretical equation describing the heat of combustion. This yields a correlation for the heat of combustion Δch°HHV=μDHmO2-Δhvap(MJkg-1), which may also be expressed as Δch°HHV=xO21-xO2μDH-Δhvap(MJkg-1). Using 1087 fuel combustion data of wide chemical composition based on the chemical formula of CvCHvHOvONvNSvSPvP, the resulting correlation is shown to perform well statistically, with R2=0.98, RMSE=1.5MJkg-1, and MBE=0.0%. Applying the proposed correlation, HHV was found to be much more sensitive to changes in oxygen content in the fuel than for similar changes in carbon and hydrogen content. Energy quality of fuels, especially in the production of biofuels that make use of highly oxygenated feedstock, should therefore rely on reducing oxygen content in the fuel via deoxygenation pathways such as decarboxylation and decarbonylation while avoiding routes that sacrifice hydrogen (such as hydrodeoxygenation and dehydrogenation).

Suggested Citation

  • Merckel, R.D. & Labuschagne, F.J.W.J. & Heydenrych, M.D., 2019. "Oxygen consumption as the definitive factor in predicting heat of combustion," Applied Energy, Elsevier, vol. 235(C), pages 1041-1047.
    • Handle: RePEc:eee:appene:v:235:y:2019:i:c:p:1041-1047
    DOI: 10.1016/j.apenergy.2018.10.111
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    Citations

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    Cited by:

    1. Xuejun Qian & Jingwen Xue & Yulai Yang & Seong W. Lee, 2021. "Thermal Properties and Combustion-Related Problems Prediction of Agricultural Crop Residues," Energies, MDPI, vol. 14(15), pages 1-18, July.
    2. Merckel, Ryan D. & Heydenrych, Mike D. & Sithole, Bruce B., 2021. "Pyrolysis oil composition and catalytic activity estimated by cumulative mass analysis using Py-GC/MS EGA-MS," Energy, Elsevier, vol. 219(C).
    3. Shangrong Wu & Qingyue Wang & Weiqian Wang & Yanyan Wang & Dawei Lu, 2024. "Characterization of Waste Biomass Fuel Prepared from Coffee and Tea Production: Its Properties, Combustion, and Emissions," Sustainability, MDPI, vol. 16(17), pages 1-16, August.
    4. Merckel, Ryan D. & Labuschagne, Frederick J.W.J. & Heydenrych, Michael D., 2020. "Energy metrics of fuel juxtaposed with mass yield metrics," Renewable Energy, Elsevier, vol. 159(C), pages 371-379.
    5. Chen, Xiaoling & Zhang, Yongxing & Xu, Baoshen & Li, Yifan, 2022. "A simple model for estimation of higher heating value of oily sludge," Energy, Elsevier, vol. 239(PA).

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