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A simultaneous optimization model for a heat-integrated syngas-to-methanol process with Kalina Cycle for waste heat recovery

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  • Zhuang, Yu
  • Zhou, Congcong
  • Zhang, Lei
  • Liu, Linlin
  • Du, Jian
  • Shen, Shengqiang

Abstract

The syngas to methanol (STM) process is an energy-intensive chemical production process, and effective utilization of waste heat can improve energy and economy efficiency. To address current challenges that complex interactions between process synthesis and waste heat recovery are not considered, a novel simultaneous optimization model is proposed for a heat-integrated syngas-to-methanol process with Kalina Cycle (KC) for waste heat recovery, where the identified key parameters of KC and STM are optimized simultaneously without reducing the overall conversion of hydrogen to produce methanol. In developing the model, an enhanced Heat Integration model that considers variable temperatures and flowrates is established to perform thermal cycle optimization with process synthesis by combination of simulation-based modelling approach and equation-based mathematical programming approach. The STM process is synthesized based on a rigorous kinetic modelling approach and the effect of process parameters on waste heat recovery is further analyzed by control variable method. The results show that the net power output of the whole system increases with the decrease of reaction pressure. The optimal medium temperature and inlet temperature of reactor are 180 °C and 160 °C, respectively. Moreover, the presented model can achieve the optimal coupling structure of KC and STM process with the maximized net power output of 15,206.3 kW, which increases by 81.6% compared with that of 8371.4 kW derived by the traditional sequential optimization method in previous study.

Suggested Citation

  • Zhuang, Yu & Zhou, Congcong & Zhang, Lei & Liu, Linlin & Du, Jian & Shen, Shengqiang, 2021. "A simultaneous optimization model for a heat-integrated syngas-to-methanol process with Kalina Cycle for waste heat recovery," Energy, Elsevier, vol. 227(C).
    • Handle: RePEc:eee:energy:v:227:y:2021:i:c:s0360544221007854
    DOI: 10.1016/j.energy.2021.120536
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    References listed on IDEAS

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    1. Kermani, Maziar & Wallerand, Anna S. & Kantor, Ivan D. & Maréchal, François, 2018. "Generic superstructure synthesis of organic Rankine cycles for waste heat recovery in industrial processes," Applied Energy, Elsevier, vol. 212(C), pages 1203-1225.
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    4. Zhuang, Yu & Zhou, Congcong & Dong, Yachao & Du, Jian & Shen, Shengqiang, 2021. "A hierarchical optimization and design of double Kalina Cycles for waste heat recovery," Energy, Elsevier, vol. 219(C).
    5. Hegely, Laszlo & Lang, Peter, 2020. "Reduction of the energy demand of a second-generation bioethanol plant by heat integration and vapour recompression between different columns," Energy, Elsevier, vol. 208(C).
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    1. Chong, Cheng Tung & Fan, Yee Van & Lee, Chew Tin & Klemeš, Jiří Jaromír, 2022. "Post COVID-19 ENERGY sustainability and carbon emissions neutrality," Energy, Elsevier, vol. 241(C).
    2. Qiliang Ye & Jiang Zeng & Yuan Li & Peiqing Yuan & Fuchen Wang, 2022. "Heat Integration for Phenols and Ammonia Recovery Process of Coal Gasification Wastewater Considering Optimization of Process Parameters," Energies, MDPI, vol. 15(23), pages 1-17, December.

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