A Mathematical Programming Method for Minimization of Carbon Debt of Bioenergy 


Vol. 27,  No. 3, pp. 269-274, Sep.  2021
10.7464/ksct.2021.27.3.269


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  Abstract

Bioenergy is generally considered to be one of the options for pursuing carbon neutrality. However, for a period of time, combustion of harvested plant biomass inevitably causes more carbon dioxide in the atmosphere than combustion of fossil fuels. This paper proposes a method that predicts and minimizes the total amount and payback period of this carbon debt. As a case study, a carbon cycle impact assessment was performed for immediate switching of the currently used fossil fuels to biomass. This work points out a fundamental vulnerability in the concept of carbon neutrality. As an action plan for the sustainability of bioenergy, formulas for afforestation proportional to the decrease in the forest area and surplus harvest proportional to the increase in the forest mass are proposed. The results of optimization indicate that the carbon debt payback period is about 70 years, and the carbon dioxide in the atmosphere increases by more than 50% at a maximum and 3% at a steady state. These are theoretically predicted best results, which are expected to be worse in reality. Therefore, biomass is not truly carbon neutral, and it is inappropriate as an energy source alternative to fossil fuels. The method proposed in this work is expected to be able to contribute to the approach to carbon neutrality by minimizing present and future carbon debt of the bioenergy that is already in use.

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  Cite this article

[IEEE Style]

C. SH, "A Mathematical Programming Method for Minimization of Carbon Debt of Bioenergy," Clean Technology, vol. 27, no. 3, pp. 269-274, 2021. DOI: 10.7464/ksct.2021.27.3.269.

[ACM Style]

Choi SH. 2021. A Mathematical Programming Method for Minimization of Carbon Debt of Bioenergy. Clean Technology, 27, 3, (2021), 269-274. DOI: 10.7464/ksct.2021.27.3.269.