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Electrical-driven self-heat recuperative pressure-swing azeotropic distillation to minimize process cost and CO2 emission: Process electrification and simultaneous optimization

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  • Cui, Chengtian
  • Long, Nguyen Van Duc
  • Sun, Jinsheng
  • Lee, Moonyong

Abstract

Azeotropic separation by pressure-swing distillation (PSD) is one of the most costly processes in the chemical industry. To minimize process cost and CO2 emission, process electrification based on self-heat recuperation technology (SHRT) has been implemented in many thermal-driven processes. Enlightened by these facts, a novel electrical-driven PSD-SHRT process is proposed and compared with conventional thermal-driven PSD (PSD-CONV) and PSDs integrated with heat integration and heat pump. Two typical binary systems – tetrahydrofuran (THF)/water with minimum-boiling azeotrope and acetone/chloroform with maximum-boiling azeotrope – are selected to investigate the potential economic and environmental benefits of process electrification. To make a fair comparison, all the processes are optimized to a minimum in total annualized cost (TAC) based on a simulation-based optimization framework combining Aspen Plus (process simulator) and MATLAB (external optimizer). The optimization results indicate PSD-SHRT to be the lowest in both TAC and CO2 emission of all the alternative processes. In THF/water system, PSD-SHRT triumphs over PSD-CONV by 23.72% in TAC and 83.67% in CO2 emission, respectively. Corresponding values increase to 47.82% and 92.90% in the acetone/chloroform system. These improvements verify the significant advantages of process electrification and also encourage more originations to introduce SHRT into other processes.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:195:y:2020:i:c:s0360544220301055
    DOI: 10.1016/j.energy.2020.116998
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    References listed on IDEAS

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    Cited by:

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    3. Dai, Min & Yang, Han & Yang, Fusheng & Zhang, Zaoxiao & Yu, Yunsong & Liu, Guilian & Feng, Xiao, 2022. "Multi-strategy Ensemble Non-dominated sorting genetic Algorithm-II (MENSGA-II) and application in energy-enviro-economic multi-objective optimization of separation for isopropyl alcohol/diisopropyl et," Energy, Elsevier, vol. 254(PA).
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    5. Duan, Cong & Li, Chunli, 2023. "Energy-saving improvement of heat integration for separating dilute azeotropic components in extractive distillation," Energy, Elsevier, vol. 263(PC).

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