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System-level cost evaluation for economic viability of cellulosic biofuel manufacturing

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  • Li, Lin
  • Ge, Yuntian

Abstract

Biofuel is a clean and renewable energy source and is considered a promising alternative to traditional fossil fuels. The economic viability is crucial in promoting large-scale adoption and long-term sustainability of biofuel. Most of the current literature on biofuel economics assumes the individual biofuel manufacturing processes are independent of each other. Consequently, the interrelationships between parameters within and across processes regarding manufacturing cost and biofuel yield are not well investigated. In this paper, a system-level cost model for cellulosic biofuel manufacturing is established across multiple production processes to investigate the relationships between the individual process characteristics and the system performance to reduce the overall cost under the constraint of biofuel yield. Two numerical case studies are conducted to illustrate the effectiveness of the proposed model. Compared with the baseline case, the cost-effective case shows that 12.8% of the total cost is reduced without ethanol yield loss.

Suggested Citation

  • Li, Lin & Ge, Yuntian, 2017. "System-level cost evaluation for economic viability of cellulosic biofuel manufacturing," Applied Energy, Elsevier, vol. 203(C), pages 711-722.
  • Handle: RePEc:eee:appene:v:203:y:2017:i:c:p:711-722
    DOI: 10.1016/j.apenergy.2017.06.074
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    References listed on IDEAS

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    Cited by:

    1. Aquila, Giancarlo & Coelho, Eden de Oliveira Pinto & Bonatto, Benedito Donizeti & Pamplona, Edson de Oliveira & Nakamura, Wilson Toshiro, 2021. "Perspective of uncertainty and risk from the CVaR-LCOE approach: An analysis of the case of PV microgeneration in Minas Gerais, Brazil," Energy, Elsevier, vol. 226(C).
    2. Rui, Zhenhua & Cui, Kehang & Wang, Xiaoqing & Chun, Jung-Hoon & Li, Yuwei & Zhang, Zhien & Lu, Jun & Chen, Gang & Zhou, Xiyu & Patil, Shirish, 2018. "A comprehensive investigation on performance of oil and gas development in Nigeria: Technical and non-technical analyses," Energy, Elsevier, vol. 158(C), pages 666-680.
    3. 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.
    4. Witcover, Julie, 2021. "What Happened and Will Happen with Biofuels? Review and Prospects for Non-Conventional Biofuels in California and the U.S.: Supply, Cost, and Potential GHG Reductions," Institute of Transportation Studies, Working Paper Series qt7624q040, Institute of Transportation Studies, UC Davis.
    5. Tran, Thomas T.D. & Smith, Amanda D., 2018. "Incorporating performance-based global sensitivity and uncertainty analysis into LCOE calculations for emerging renewable energy technologies," Applied Energy, Elsevier, vol. 216(C), pages 157-171.
    6. Ge, Yuntian & Li, Lin & Yun, Lingxiang, 2021. "Modeling and economic optimization of cellulosic biofuel supply chain considering multiple conversion pathways," Applied Energy, Elsevier, vol. 281(C).
    7. Karagoz, Pınar & Bill, Roslyn M. & Ozkan, Melek, 2019. "Lignocellulosic ethanol production: Evaluation of new approaches, cell immobilization and reactor configurations," Renewable Energy, Elsevier, vol. 143(C), pages 741-752.
    8. Kesharwani, Rajkamal & Sun, Zeyi & Dagli, Cihan & Xiong, Haoyi, 2019. "Moving second generation biofuel manufacturing forward: Investigating economic viability and environmental sustainability considering two strategies for supply chain restructuring," Applied Energy, Elsevier, vol. 242(C), pages 1467-1496.

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