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Power consumption and oxygen transfer optimization for C5 sugar acid production in a gas-liquid stirred tank bioreactor using CFD-Taguchi method

Author

Listed:
  • Xu, Chaozhong
  • Liu, Xu
  • Ding, Chenrong
  • Zhou, Xin
  • Xu, Yong
  • Gu, Xiaoli

Abstract

Power consumption and oxygen transfer are considered the two most important direct indexes, affecting the effective and cost-efficient C5 sugar acid fermentation from C5 sugar. In this work, an effective optimization approach combining computational fluid dynamics (CFD) modeling and the Taguchi method, was presented to evaluate C5 sugar acid fermentation in a gas-liquid stirred tank bioreactor. Three most critical control factors of impeller type (Rushton turbine (RT), concaved blade disc turbine (CBDT), and four wide-blade hydrofoil impeller pumping down (WHd)), agitation speed and aeration rate involved three levels, were quantitatively studied by numerical simulation based on a validated CFD model. Results indicated that, the WHd impeller gave the best energy-saving performance, the CBDT impeller gave the best oxygen transfer performance, while the RT impeller was the most balanced one. The agitation speed contributed most to both the power consumption and oxygen transfer, while exerting minor impact on compromise indexes. The aeration rate had little contribution to power consumption and oxygen transfer, while deserving more attention when energy efficiency and trade-off optimization are considered. These findings can be used as guidelines to achieve efficient and economical C5 sugar acid production.

Suggested Citation

  • Xu, Chaozhong & Liu, Xu & Ding, Chenrong & Zhou, Xin & Xu, Yong & Gu, Xiaoli, 2023. "Power consumption and oxygen transfer optimization for C5 sugar acid production in a gas-liquid stirred tank bioreactor using CFD-Taguchi method," Renewable Energy, Elsevier, vol. 212(C), pages 430-442.
    • Handle: RePEc:eee:renene:v:212:y:2023:i:c:p:430-442
    DOI: 10.1016/j.renene.2023.05.057
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    1. Dussán, Kelly J. & Silva, Débora D.V. & Perez, Victor H. & da Silva, Silvio S., 2016. "Evaluation of oxygen availability on ethanol production from sugarcane bagasse hydrolysate in a batch bioreactor using two strains of xylose-fermenting yeast," Renewable Energy, Elsevier, vol. 87(P1), pages 703-710.
    2. Peng, H.Y. & Han, Z.D. & Liu, H.J. & Lin, K. & Lam, H.F., 2020. "Assessment and optimization of the power performance of twin vertical axis wind turbines via numerical simulations," Renewable Energy, Elsevier, vol. 147(P1), pages 43-54.
    3. Li, Wen-Chao & Zhu, Jia-Qing & Zhao, Xiong & Qin, Lei & Xu, Tao & Zhou, Xiao & Li, Xia & Li, Bing-Zhi & Yuan, Ying-Jin, 2019. "Improving co-fermentation of glucose and xylose by adaptive evolution of engineering xylose-fermenting Saccharomyces cerevisiae and different fermentation strategies," Renewable Energy, Elsevier, vol. 139(C), pages 1176-1183.
    4. Cheng, Biyi & Du, Jianjun & Yao, Yingxue, 2022. "Power prediction formula for blade design and optimization of Dual Darrieus Wind Turbines based on Taguchi Method and Genetic Expression Programming model," Renewable Energy, Elsevier, vol. 192(C), pages 583-605.
    5. Pandiyan, K. & Singh, Arjun & Singh, Surender & Saxena, Anil Kumar & Nain, Lata, 2019. "Technological interventions for utilization of crop residues and weedy biomass for second generation bio-ethanol production," Renewable Energy, Elsevier, vol. 132(C), pages 723-741.
    6. Silva, João Paulo A. & Mussatto, Solange I. & Roberto, Inês C. & Teixeira, José A., 2012. "Fermentation medium and oxygen transfer conditions that maximize the xylose conversion to ethanol by Pichia stipitis," Renewable Energy, Elsevier, vol. 37(1), pages 259-265.
    7. Shu, Shuli & Vidal, David & Bertrand, François & Chaouki, Jamal, 2019. "Multiscale multiphase phenomena in bubble column reactors: A review," Renewable Energy, Elsevier, vol. 141(C), pages 613-631.
    8. Puligundla, Pradeep & Smogrovicova, Daniela & Mok, Chulkyoon & Obulam, Vijaya Sarathi Reddy, 2019. "A review of recent advances in high gravity ethanol fermentation," Renewable Energy, Elsevier, vol. 133(C), pages 1366-1379.
    9. Leonzio, Grazia, 2019. "Fluid dynamic study of anaerobic digester: optimization of mixing and geometric configuration by using response surface methodology and factorial design," Renewable Energy, Elsevier, vol. 136(C), pages 769-780.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    C5 sugar acid; Power consumption; Oxygen transfer; Computational fluid dynamics; Taguchi method;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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