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Single-Solution-Based Vortex Search Strategy for Optimal Design of Offshore and Onshore Natural Gas Liquefaction Processes

Author

Listed:
  • Muhammad Abdul Qyyum

    (School of Chemical Engineering, Yeungnam University, Gyeongsan 712-749, Korea
    These authors contributed equally.)

  • Muhammad Yasin

    (Bioenergy & Environmental Sustainable Technology (BEST) Research Group, Department of Chemical Engineering, COMSATS University Islamabad (CUI), Lahore Campus, Defense Road, Off Raiwind Road, Lahore 54000, Pakistan
    These authors contributed equally.)

  • Alam Nawaz

    (School of Chemical Engineering, Yeungnam University, Gyeongsan 712-749, Korea
    These authors contributed equally.)

  • Tianbiao He

    (Department of Gas Engineering, College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao 266580, China)

  • Wahid Ali

    (Department of Chemical Engineering Technology, College of Applied Industrial Technology (CAIT), Jazan University, Jazan 45971, Saudi Arabia)

  • Junaid Haider

    (School of Chemical Engineering, Yeungnam University, Gyeongsan 712-749, Korea)

  • Kinza Qadeer

    (School of Chemical Engineering, Yeungnam University, Gyeongsan 712-749, Korea)

  • Abdul-Sattar Nizami

    (Sustainable Development Study Center, Government College University, Lahore 54000, Pakistan)

  • Konstantinos Moustakas

    (Unit of Environmental Science & Technology, School of Chemical Engineering, National Technical University of Athens, 15780 Athens, Greece)

  • Moonyong Lee

    (School of Chemical Engineering, Yeungnam University, Gyeongsan 712-749, Korea)

Abstract

Propane-Precooled Mixed Refrigerant (C3MR) and Single Mixed Refrigerant (SMR) processes are considered as optimal choices for onshore and offshore natural gas liquefaction, respectively. However, from thermodynamics point of view, these processes are still far away from their maximum achievable energy efficiency due to nonoptimal execution of the design variables. Therefore, Liquefied Natural Gas (LNG) production is considered as one of the energy-intensive cryogenic industries. In this context, this study examines a single-solution-based Vortex Search (VS) approach to find the optimal design variables corresponding to minimal energy consumption for LNG processes, i.e., C3MR and SMR. The LNG processes are simulated using Aspen Hysys and then linked with VS algorithm, which is coded in MATLAB. The results indicated that the SMR process is a potential process for offshore sites that can liquefy natural gas with 16.1% less energy consumption compared with the published base case. Whereas, for onshore LNG production, the energy consumption for the C3MR process is reduced up to 27.8% when compared with the previously published base case. The optimal designs of the SMR and C3MR processes are also found via distinctive well-established optimization approaches (i.e., genetic algorithm and particle swarm optimization) and their performance is compared with that of the VS methodology. The authors believe this work will greatly help the process engineers overcome the challenges relating to the energy efficiency of LNG industry, as well as other mixed refrigerant-based cryogenic processes.

Suggested Citation

  • Muhammad Abdul Qyyum & Muhammad Yasin & Alam Nawaz & Tianbiao He & Wahid Ali & Junaid Haider & Kinza Qadeer & Abdul-Sattar Nizami & Konstantinos Moustakas & Moonyong Lee, 2020. "Single-Solution-Based Vortex Search Strategy for Optimal Design of Offshore and Onshore Natural Gas Liquefaction Processes," Energies, MDPI, vol. 13(7), pages 1-22, April.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:7:p:1732-:d:341674
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    References listed on IDEAS

    as
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    12. Rehman, Ali & Qyyum, Muhammad Abdul & Qadeer, Kinza & Zakir, Fatima & Ding, Yulong & Lee, Moonyong & Wang, Li, 2020. "Integrated biomethane liquefaction using exergy from the discharging end of a liquid air energy storage system," Applied Energy, Elsevier, vol. 260(C).
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    Cited by:

    1. Ali Rehman & Muhammad Abdul Qyyum & Ashfaq Ahmad & Saad Nawaz & Moonyong Lee & Li Wang, 2020. "Performance Enhancement of Nitrogen Dual Expander and Single Mixed Refrigerant LNG Processes Using Jaya Optimization Approach," Energies, MDPI, vol. 13(12), pages 1-27, June.
    2. Walter Gil-González & Oscar Danilo Montoya & Arul Rajagopalan & Luis Fernando Grisales-Noreña & Jesus C. Hernández, 2020. "Optimal Selection and Location of Fixed-Step Capacitor Banks in Distribution Networks Using a Discrete Version of the Vortex Search Algorithm," Energies, MDPI, vol. 13(18), pages 1-21, September.
    3. Zhang, Shouxin & Zou, Zimo & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev & Shahzad, Khurram & Ali, Arshid Mahmood & Wang, Bo-Hong, 2023. "A new strategy for mixed refrigerant composition optimisation in the propane precooled mixed refrigerant natural gas liquefaction process," Energy, Elsevier, vol. 274(C).
    4. Qyyum, Muhammad Abdul & Ahmed, Faisal & Nawaz, Alam & He, Tianbiao & Lee, Moonyong, 2021. "Teaching-learning self-study approach for optimal retrofitting of dual mixed refrigerant LNG process: Energy and exergy perspective," Applied Energy, Elsevier, vol. 298(C).
    5. Qyyum, Muhammad Abdul & He, Tianbiao & Qadeer, Kinza & Mao, Ning & Lee, Sanggyu & Lee, Moonyong, 2020. "Dual-effect single-mixed refrigeration cycle: An innovative alternative process for energy-efficient and cost-effective natural gas liquefaction," Applied Energy, Elsevier, vol. 268(C).
    6. Hafiz Muhammad Uzair Ayub & Sang Jin Park & Michael Binns, 2020. "Biomass to Syngas: Modified Stoichiometric Thermodynamic Models for Downdraft Biomass Gasification," Energies, MDPI, vol. 13(20), pages 1, October.

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