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Superstructure based techno-economic optimization of the organic rankine cycle using LNG cryogenic energy

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  • Lee, Ung
  • Jeon, Jeongwoo
  • Han, Chonghun
  • Lim, Youngsub

Abstract

A process design of the organic Rankine cycle utilizing LNG cryogenic exergy is proposed using superstructure optimization. The superstructure imbeds about 1024 possible process alternatives, and the most profitable process configuration and the operating condition are decided simultaneously using a stochastic optimization solver and Aspen Plus-MATLAB interface. The optimum process configuration includes a multi stream cryogenic heat exchanger, a five-stage turbine with reheaters, three stage vapor re-condensation processes and direct contact heaters. In addition, the exergy transfer from the LNG to the working fluid is maximized by using a multi component mixture as working fluid. The 1st law efficiency of the proposed process reaches about 26.2% with 85 °C of waste heat source and it is about 42% higher than that of the conventional ORC. The annual profit of the optimum process is about 39 M$ and it can be interpreted as 24$ of profit per kg LNG evaporation. Sensitivity analysis is also presented to show the reliability of the stochastic solution found in this study.

Suggested Citation

  • Lee, Ung & Jeon, Jeongwoo & Han, Chonghun & Lim, Youngsub, 2017. "Superstructure based techno-economic optimization of the organic rankine cycle using LNG cryogenic energy," Energy, Elsevier, vol. 137(C), pages 83-94.
    • Handle: RePEc:eee:energy:v:137:y:2017:i:c:p:83-94
    DOI: 10.1016/j.energy.2017.07.019
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    3. Lee, Inkyu & Park, Jinwoo & You, Fengqi & Moon, Il, 2019. "A novel cryogenic energy storage system with LNG direct expansion regasification: Design, energy optimization, and exergy analysis," Energy, Elsevier, vol. 173(C), pages 691-705.
    4. Lazzaretto, Andrea & Manente, Giovanni & Toffolo, Andrea, 2018. "SYNTHSEP: A general methodology for the synthesis of energy system configurations beyond superstructures," Energy, Elsevier, vol. 147(C), pages 924-949.
    5. Jamin Koo & Soung-Ryong Oh & Yeo-Ul Choi & Jae-Hoon Jung & Kyungtae Park, 2019. "Optimization of an Organic Rankine Cycle System for an LNG-Powered Ship," Energies, MDPI, vol. 12(10), pages 1-17, May.
    6. Aslambakhsh, Amir Hamzeh & Moosavian, Mohammad Ali & Amidpour, Majid & Hosseini, Mohammad & AmirAfshar, Saeedeh, 2018. "Global cost optimization of a mini-scale liquefied natural gas plant," Energy, Elsevier, vol. 148(C), pages 1191-1200.
    7. Zheng, Siyang & Li, Chenghao & Zeng, Zhiyong, 2022. "Thermo-economic analysis, working fluids selection, and cost projection of a precooler-integrated dual-stage combined cycle (PIDSCC) system utilizing cold exergy of liquefied natural gas," Energy, Elsevier, vol. 238(PC).
    8. Le, Si & Lee, Jui-Yuan & Chen, Cheng-Liang, 2018. "Waste cold energy recovery from liquefied natural gas (LNG) regasification including pressure and thermal energy," Energy, Elsevier, vol. 152(C), pages 770-787.
    9. Son, Hyunsoo & Kim, Jin-Kuk, 2020. "Energy-efficient process design and optimization of dual-expansion systems for BOG (Boil-off gas) Re-liquefaction process in LNG-fueled ship," Energy, Elsevier, vol. 203(C).
    10. Lee, Inkyu & You, Fengqi, 2019. "Systems design and analysis of liquid air energy storage from liquefied natural gas cold energy," Applied Energy, Elsevier, vol. 242(C), pages 168-180.
    11. Lin, Shan & Zhao, Li & Deng, Shuai & Zhao, Dongpeng & Wang, Wei & Chen, Mengchao, 2020. "Intelligent collaborative attainment of structure configuration and fluid selection for the Organic Rankine cycle," Applied Energy, Elsevier, vol. 264(C).

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