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Optimization of coal-based methanol distillation scheme using process superstructure method to maximize energy efficiency

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  • Cui, Chengtian
  • Li, Xingang
  • Sui, Hong
  • Sun, Jinsheng

Abstract

Despite the current methanol distillation system (MDS) touching a highly energy-efficient level, there are still opportunities to cut more corners when moving eyesight from heating media to electricity and work efficiency of rotary equipments. To simultaneously optimize this process for higher overall energy efficiency, methodologically an improved substitute pathway is herein proposed of corresponding process superstructure. In detail, it is an all-in-one integration of heat and work exchanger networks (HEN-WEN), exemplified by a 4-column double-effect methanol distillation scheme popular among Chinese coal-based factories. The completion of this work indicates a hope of potential reductions of pump electricity and reboiler steam consumption of the whole unit by further 68.38% and 15.83%, respectively.

Suggested Citation

  • Cui, Chengtian & Li, Xingang & Sui, Hong & Sun, Jinsheng, 2017. "Optimization of coal-based methanol distillation scheme using process superstructure method to maximize energy efficiency," Energy, Elsevier, vol. 119(C), pages 110-120.
    • Handle: RePEc:eee:energy:v:119:y:2017:i:c:p:110-120
    DOI: 10.1016/j.energy.2016.12.065
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    References listed on IDEAS

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    2. Ye, Chao & Wang, Qinhui & Zheng, Youqu & Li, Guoneng & Zhang, Zhiguo & Luo, Zhongyang, 2019. "Techno-economic analysis of methanol and electricity poly-generation system based on coal partial gasification," Energy, Elsevier, vol. 185(C), pages 624-632.
    3. Kosuke Seki & Keisuke Takeshita & Yoshiharu Amano, 2019. "Development of Complex Energy Systems with Absorption Technology by Combining Elementary Processes," Energies, MDPI, vol. 12(3), pages 1-20, February.
    4. Chengjiang Li & Tingwen Jia & Shiyuan Wang & Xiaolin Wang & Michael Negnevitsky & Honglei Wang & Yujie Hu & Weibin Xu & Na Zhou & Gang Zhao, 2023. "Methanol Vehicles in China: A Review from a Policy Perspective," Sustainability, MDPI, vol. 15(12), pages 1-22, June.
    5. Sinha, Rakesh Kumar & Chaturvedi, Nitin Dutt, 2019. "A review on carbon emission reduction in industries and planning emission limits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    6. Kakodkar, R. & He, G. & Demirhan, C.D. & Arbabzadeh, M. & Baratsas, S.G. & Avraamidou, S. & Mallapragada, D. & Miller, I. & Allen, R.C. & Gençer, E. & Pistikopoulos, E.N., 2022. "A review of analytical and optimization methodologies for transitions in multi-scale energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    7. Cui, Chengtian & Li, Xingang & Guo, Dongrong & Sun, Jinsheng, 2017. "Towards energy efficient styrene distillation scheme: From grassroots design to retrofit," Energy, Elsevier, vol. 134(C), pages 193-205.
    8. Yoro, Kelvin O. & Daramola, Michael O. & Sekoai, Patrick T. & Armah, Edward K. & Wilson, Uwemedimo N., 2021. "Advances and emerging techniques for energy recovery during absorptive CO2 capture: A review of process and non-process integration-based strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    9. Liu, Siyao & Cui, Chengtian & He, Jie & Sun, Jinsheng, 2018. "Feasibility assessment of a novel refrigeration FCC gas plant driven by self waste heat," Energy, Elsevier, vol. 145(C), pages 356-366.
    10. Ma, Qian & Chang, Yuan & Yuan, Bo & Song, Zhaozheng & Xue, Jinjun & Jiang, Qingzhe, 2022. "Utilizing carbon dioxide from refinery flue gas for methanol production: System design and assessment," Energy, Elsevier, vol. 249(C).
    11. Tabibian, Seyed Shayan & Sharifzadeh, Mahdi, 2023. "Statistical and analytical investigation of methanol applications, production technologies, value-chain and economy with a special focus on renewable methanol," Renewable and Sustainable Energy Reviews, Elsevier, vol. 179(C).
    12. Cui, Chengtian & Long, Nguyen Van Duc & Sun, Jinsheng & Lee, Moonyong, 2020. "Electrical-driven self-heat recuperative pressure-swing azeotropic distillation to minimize process cost and CO2 emission: Process electrification and simultaneous optimization," Energy, Elsevier, vol. 195(C).

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