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Optimal production scheduling for energy efficiency improvement in biofuel feedstock preprocessing considering work-in-process particle separation

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  • Li, Lin
  • Sun, Zeyi
  • Yao, Xufeng
  • Wang, Donghai

Abstract

Biofuel is considered a promising alternative to traditional liquid transportation fuels. The large-scale substitution of biofuel can greatly enhance global energy security and mitigate greenhouse gas emissions. One major concern of the broad adoption of biofuel is the intensive energy consumption in biofuel manufacturing. This paper focuses on the energy efficiency improvement of biofuel feedstock preprocessing, a major process of cellulosic biofuel manufacturing. An improved scheme of the feedstock preprocessing considering work-in-process particle separation is introduced to reduce energy waste and improve energy efficiency. A scheduling model based on the improved scheme is also developed to identify an optimal production schedule that can minimize the energy consumption of the feedstock preprocessing under production target constraint. A numerical case study is used to illustrate the effectiveness of the proposed method. The research outcome is expected to improve the energy efficiency and enhance the environmental sustainability of biomass feedstock preprocessing.

Suggested Citation

  • Li, Lin & Sun, Zeyi & Yao, Xufeng & Wang, Donghai, 2016. "Optimal production scheduling for energy efficiency improvement in biofuel feedstock preprocessing considering work-in-process particle separation," Energy, Elsevier, vol. 96(C), pages 474-481.
    • Handle: RePEc:eee:energy:v:96:y:2016:i:c:p:474-481
    DOI: 10.1016/j.energy.2015.12.063
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    2. Lotfi Hidri & Ali Alqahtani & Achraf Gazdar & Belgacem Ben Youssef, 2021. "Green Scheduling of Identical Parallel Machines with Release Date, Delivery Time and No-Idle Machine Constraints," Sustainability, MDPI, vol. 13(16), pages 1-30, August.
    3. 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.
    4. Li, Yu & Kesharwani, Rajkamal & Sun, Zeyi & Qin, Ruwen & Dagli, Cihan & Zhang, Meng & Wang, Donghai, 2020. "Economic viability and environmental impact investigation for the biofuel supply chain using co-fermentation technology," Applied Energy, Elsevier, vol. 259(C).
    5. 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.
    6. 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.

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