Techno‐Economic Assessment of Biofuels Production From Sugarcane Bagasse

ABSTRACT The cooperative effect of climate change, rising fossil fuel prices and global fossil fuel depletion necessitates the production and use of renewable energy nationally and globally. The need for more energy‐producing methods is growing as energy consumption rises. A techno‐economic assessment (TEA) delivers an in‐depth analysis of the financial feasibility of these processes, informing investment choices and policy development for biofuel advancement. Three biological biomass‐to‐fuel conversion routes were investigated in this study: fermentation for bioethanol production, anaerobic digestion (AD) for biogas production and dark fermentation (DF) for biohydrogen production. Aspen Plus software simulations were performed to process 51840 kg/h sugarcane bagasse (SCB). The discounted cash flow method was used for economic assessment using the tax rate of 28% and the discount rate of 12%, with a straight‐line depreciation of 20% for 5 years. The plant life was assumed to be 25 years. The most profitable method was DF with an net present value (NPV) of 67.41 million USD, a payback period (PBP) of 3.3 years, an ROI of 1.51 and a PI of 7.95. Biogas production ranked second with an NPV of 37.57 million USD, a PBP of 4.4 years, an ROI of 1.16 and a PI of 5.85. Under conditions assumed in the study, bioethanol production was not feasible at all with the negative NPV. The project will not be able to recover its initial investment at the end of the plant's life.

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Publication Details

Journal
Energy Science & Engineering
Published
2025-06-11
DOI
https://doi.org/10.1002/ese3.70178
Citations
5
Primary Topic
Biofuel production and bioconversion
Type
article
Field-Weighted Citation Impact
3.37

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article

Techno‐Economic Assessment of Biofuels Production From Sugarcane Bagasse

Amir Mohammadi, Manimagalay Chetty, Ayanda S. Buthelezi
5 citations
Energy Science & Engineering
Biofuel production and bioconversion
3.37
article

Techno‐Economic Assessment of Biofuels Production From Sugarcane Bagasse

Amir Mohammadi, Manimagalay Chetty, Ayanda S. Buthelezi
article en
5 citations

Abstract

ABSTRACT The cooperative effect of climate change, rising fossil fuel prices and global fossil fuel depletion necessitates the production and use of renewable energy nationally and globally. The need for more energy‐producing methods is growing as energy consumption rises. A techno‐economic assessment (TEA) delivers an in‐depth analysis of the financial feasibility of these processes, informing investment choices and policy development for biofuel advancement. Three biological biomass‐to‐fuel conversion routes were investigated in this study: fermentation for bioethanol production, anaerobic digestion (AD) for biogas production and dark fermentation (DF) for biohydrogen production. Aspen Plus software simulations were performed to process 51840 kg/h sugarcane bagasse (SCB). The discounted cash flow method was used for economic assessment using the tax rate of 28% and the discount rate of 12%, with a straight‐line depreciation of 20% for 5 years. The plant life was assumed to be 25 years. The most profitable method was DF with an net present value (NPV) of 67.41 million USD, a payback period (PBP) of 3.3 years, an ROI of 1.51 and a PI of 7.95. Biogas production ranked second with an NPV of 37.57 million USD, a PBP of 4.4 years, an ROI of 1.16 and a PI of 5.85. Under conditions assumed in the study, bioethanol production was not feasible at all with the negative NPV. The project will not be able to recover its initial investment at the end of the plant's life.

Energy Science & EngineeringVol. 13(9)
Cape Peninsula University of Technology (ZA), Durban University of Technology (ZA), University of KwaZulu-Natal (ZA)
Durban University of Technology
Openalex Percentile: Top 8%
Biofuel production and bioconversion
3.37
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Techno‐Economic Assessment of Biofuels Production From Sugarcane Bagasse — Amir Mohammadi, Manimagalay Chetty, et al. · Energy Science & Engineering (2025) | TGRS Research Map | TGRS