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Multi-objective optimization of a joule cycle for re-liquefaction of the Liquefied Natural Gas

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  • Sayyaadi, Hoseyn
  • Babaelahi, M.

Abstract

A LNG re-liquefaction plant is optimized with a multi-objective approach which simultaneously considers exergetic and exergoeconomic objectives. In this regard, optimization is performed in order to maximize the exergetic efficiency of plant and minimize the unit cost of the system product (refrigeration effect), simultaneously. Thermodynamic modeling is performed based on energy and exergy analyses, while an exergoeconomic model based on the total revenue requirement (TRR) are developed. Optimization programming in MATLAB is performed using one of the most powerful and robust multi-objective optimization algorithms namely NSGA-II. This approach which is based on the Genetic Algorithm is applied to find a set of Pareto optimal solutions. Pareto optimal frontier is obtained and a final optimal solution is selected in a decision-making process. An example of decision-making process for selection of the final solution from the available optimal points of the Pareto frontier is presented here. The feature of selected final optimal system is compared with corresponding features of the base case and exergoeconomic single-objective optimized systems and discussed.

Suggested Citation

  • Sayyaadi, Hoseyn & Babaelahi, M., 2011. "Multi-objective optimization of a joule cycle for re-liquefaction of the Liquefied Natural Gas," Applied Energy, Elsevier, vol. 88(9), pages 3012-3021.
    • Handle: RePEc:eee:appene:v:88:y:2011:i:9:p:3012-3021
    DOI: 10.1016/j.apenergy.2011.03.041
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    References listed on IDEAS

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    1. Aspelund, Audun & Gundersen, Truls, 2009. "A liquefied energy chain for transport and utilization of natural gas for power production with CO2 capture and storage - Part 2: The offshore and the onshore processes," Applied Energy, Elsevier, vol. 86(6), pages 793-804, June.
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    1. Minsoo Choi & Wongwan Jung & Sanghyuk Lee & Taehwan Joung & Daejun Chang, 2021. "Thermal Efficiency and Economics of a Boil-Off Hydrogen Re-Liquefaction System Considering the Energy Efficiency Design Index for Liquid Hydrogen Carriers," Energies, MDPI, vol. 14(15), pages 1-23, July.
    2. Khan, Mohd Shariq & Lee, Sanggyu & Rangaiah, G.P. & Lee, Moonyong, 2013. "Knowledge based decision making method for the selection of mixed refrigerant systems for energy efficient LNG processes," Applied Energy, Elsevier, vol. 111(C), pages 1018-1031.
    3. Lee, Sangick & Choi, Inhwan & Chang, Daejun, 2013. "Multi-objective optimization of VOC recovery and reuse in crude oil loading," Applied Energy, Elsevier, vol. 108(C), pages 439-447.
    4. Yin, Liang & Ju, Yonglin, 2020. "Conceptual design and analysis of a novel process for BOG re-liquefaction combined with absorption refrigeration cycle," Energy, Elsevier, vol. 205(C).
    5. Kim, Donghoi & Hwang, Chulmin & Gundersen, Truls & Lim, Youngsub, 2019. "Process design and economic optimization of boil-off-gas re-liquefaction systems for LNG carriers," Energy, Elsevier, vol. 173(C), pages 1119-1129.
    6. Joy, Jubil & Kochunni, Sarun Kumar & Chowdhury, Kanchan, 2022. "Size reduction and enhanced power generation in ORC by vaporizing LNG at high supercritical pressure irrespective of delivery pressure," Energy, Elsevier, vol. 260(C).
    7. Kochunni, Sarun Kumar & Chowdhury, Kanchan, 2020. "Use of dual pressure Claude liquefaction cycles for complete and energy-efficient reliquefaction of boil-off gas in LNG carrier ships," Energy, Elsevier, vol. 198(C).
    8. Duan, Zhongdi & Wang, Jianhu & Yuan, Yuchao & Tang, Wenyong & Xue, Hongxiang, 2023. "Near-wall thermal regulation for cryogenic storage by adsorbent coating: Modelling and pore-scale investigation," Applied Energy, Elsevier, vol. 349(C).
    9. Xu, Xiongwen & Liu, Jinping & Jiang, Chuanshuo & Cao, Le, 2013. "The correlation between mixed refrigerant composition and ambient conditions in the PRICO LNG process," Applied Energy, Elsevier, vol. 102(C), pages 1127-1136.
    10. Yin, Liang & Ju, Yonglin, 2022. "Review on the design and optimization of BOG re-liquefaction process in LNG ship," Energy, Elsevier, vol. 244(PB).
    11. Bian, Jiang & Yang, Jian & Liu, Yang & Li, Yuxing & Cao, Xuewen, 2022. "Analysis and efficiency enhancement for energy-saving re-liquefaction processes of boil-off gas without external refrigeration cycle on LNG carriers," Energy, Elsevier, vol. 239(PB).

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