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Desirability function for optimization of Dilute Acid pretreatment of sugarcane straw for ethanol production and preliminary economic analysis based in three fermentation configurations

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  • Mesa, Leyanis
  • Martínez, Yenisleidy
  • Barrio, Edenny
  • González, Erenio

Abstract

Sugarcane straw is a lignocellulosic residue accumulated during the harvest of sugarcane and is a potential feedstock for second generation biofuel. This work covers the optimization of pretreatment step in the ethanol production using a complete factorial design (23), where the analyzed factors were temperature, acid concentration and time in the Dilute Acid pretreatment. Desirability function was applied in this stage to maximize sugar yields and minimize inhibitor concentrations, resulting in overall sugars yield ∼60% and furfural concentration of 0.5g/L. An enzymatic hydrolysis stage was done to increase sugar release. The fermentation stage was studied through three different configurations, such as Separate Hydrolysis and Fermentation (SHF), Simultaneous Saccharification and Fermentation (SSF) and Presaccharification and Simultaneous Saccharification and Fermentation (PSSF). The most promising alternative turned out to be PSSF due its higher ethanol concentration, with a value of 14.8g/100g dry weight (DW) biomass, equivalent to 187L/tonne DW using C6-sugars. The economic analysis revealed that the integration between enzymatic hydrolysis and fermentation in the ethanol production affected the total capital cost. The cost of raw materials (sugarcane straw and enzymes) had the most significant impact on the total production cost and accounted between 35.66 and 25.88% of the total cost of the ethanol plant from sugarcane straw.

Suggested Citation

  • Mesa, Leyanis & Martínez, Yenisleidy & Barrio, Edenny & González, Erenio, 2017. "Desirability function for optimization of Dilute Acid pretreatment of sugarcane straw for ethanol production and preliminary economic analysis based in three fermentation configurations," Applied Energy, Elsevier, vol. 198(C), pages 299-311.
    • Handle: RePEc:eee:appene:v:198:y:2017:i:c:p:299-311
    DOI: 10.1016/j.apenergy.2017.03.018
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    4. Dhiman, Saurabh Sudha & David, Aditi & Braband, Vanessa W. & Hussein, Abdulmenan & Salem, David R. & Sani, Rajesh K., 2017. "Improved bioethanol production from corn stover: Role of enzymes, inducers and simultaneous product recovery," Applied Energy, Elsevier, vol. 208(C), pages 1420-1429.
    5. Dong, Chengyu & Wang, Ying & Chan, Ka-Lai & Bhatia, Akanksha & Leu, Shao-Yuan, 2018. "Temperature profiling to maximize energy yield with reduced water input in a lignocellulosic ethanol biorefinery," Applied Energy, Elsevier, vol. 214(C), pages 63-72.
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    7. Huang, Yingying & Chen, Xuechu & Liu, Silu & Lu, Jinzhong & Shen, Yingshi & Li, Lei & Peng, Lin & Hong, Jingjie & Zhang, Qiuzhuo & Ostrovsky, Ilia, 2021. "Converting of nuisance cyanobacterial biomass to feedstock for bioethanol production by regulation of intracellular carbon flow: Killing two birds with one stone," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    8. Ge, Yuntian & Li, Lin, 2018. "System-level energy consumption modeling and optimization for cellulosic biofuel production," Applied Energy, Elsevier, vol. 226(C), pages 935-946.
    9. Vasconcelos, Marcelo Holanda & Mendes, Fernanda Machado & Ramos, Lucas & Dias, Marina Oliveira S. & Bonomi, Antonio & Jesus, Charles Dayan F. & Watanabe, Marcos Djun B. & Junqueira, Tassia Lopes & Mil, 2020. "Techno-economic assessment of bioenergy and biofuel production in integrated sugarcane biorefinery: Identification of technological bottlenecks and economic feasibility of dilute acid pretreatment," Energy, Elsevier, vol. 199(C).

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