IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i19p5023-d418638.html
   My bibliography  Save this article

Membrane-Assisted Removal of Hydrogen and Nitrogen from Synthetic Natural Gas for Energy-Efficient Liquefaction

Author

Listed:
  • Muhammad Abdul Qyyum

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

  • Yus Donald Chaniago

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

  • Wahid Ali

    (Department of Chemical Engineering and Technology, Jazan University, Jazan 45971, Saudi Arabia)

  • Hammad Saulat

    (State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China)

  • Moonyong Lee

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

Abstract

Synthetic natural gas (SNG) production from coal is one of the well-matured options to make clean utilization of coal a reality. For the ease of transportation and supply, liquefaction of SNG is highly desirable. In the liquefaction of SNG, efficient removal of low boiling point impurities such as hydrogen (H 2 ) and nitrogen (N 2 ) is highly desirable to lower the power of the liquefaction process. Among several separation processes, membrane-based separation exhibits the potential for the separation of low boiling point impurities at low power consumption as compared to the existing separation processes. In this study, the membrane unit was used to simulate the membrane module by using Aspen HYSYS V10 (Version 10, AspenTech, Bedford, MA, United States). The two-stage and two-step system designs of the N 2 -selective membrane are utilized for SNG separation. The two-stage membrane process feasibly recovers methane (CH 4 ) at more than 95% (by mol) recovery with a H 2 composition of ≤0.05% by mol, but requires a larger membrane area than a two-stage system. While maintaining the minimum internal temperature approach value of 3 °C inside a cryogenic heat exchanger, the optimization of the SNG liquefaction process shows a large reduction in power consumption. Membrane-assisted removal of H 2 and N 2 for the liquefaction process exhibits the beneficial removal of H 2 before liquefaction by achieving low net specific power at 0.4010 kW·h/kg· CH 4 .

Suggested Citation

  • Muhammad Abdul Qyyum & Yus Donald Chaniago & Wahid Ali & Hammad Saulat & Moonyong Lee, 2020. "Membrane-Assisted Removal of Hydrogen and Nitrogen from Synthetic Natural Gas for Energy-Efficient Liquefaction," Energies, MDPI, vol. 13(19), pages 1-18, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:19:p:5023-:d:418638
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/19/5023/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/19/5023/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Khan, Mohd Shariq & Lee, Moonyong, 2013. "Design optimization of single mixed refrigerant natural gas liquefaction process using the particle swarm paradigm with nonlinear constraints," Energy, Elsevier, vol. 49(C), pages 146-155.
    2. David S. Sholl & Ryan P. Lively, 2016. "Seven chemical separations to change the world," Nature, Nature, vol. 532(7600), pages 435-437, April.
    3. Qyyum, Muhammad Abdul & Ali, Wahid & Long, Nguyen Van Duc & Khan, Mohd Shariq & Lee, Moonyong, 2018. "Energy efficiency enhancement of a single mixed refrigerant LNG process using a novel hydraulic turbine," Energy, Elsevier, vol. 144(C), pages 968-976.
    4. 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.
    5. Naqvi, M. & Dahlquist, E. & Yan, J. & Naqvi, S.R. & Nizami, A.S. & Salman, C.A. & Danish, M. & Farooq, U. & Rehan, M. & Khan, Z. & Qureshi, A.S., 2018. "Polygeneration system integrated with small non-wood pulp mills for substitute natural gas production," Applied Energy, Elsevier, vol. 224(C), pages 636-646.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qyyum, Muhammad Abdul & Naquash, Ahmad & Sial, Noman Raza & Lee, Moonyong, 2023. "CO2 precooled dual phase expander refrigeration cycles for offshore and small-scale LNG production: Energy, exergy, and economic evaluation," Energy, Elsevier, vol. 262(PA).
    2. Yasunari Shinoda & Masakazu Takeuchi & Hikaru Mizukami & Norikazu Dezawa & Yasuhiro Komo & Takuya Harada & Hiroki Takasu & Yukitaka Kato, 2021. "Characterization of Pd 60 Cu 40 Composite Membrane Prepared by a Reverse Build-Up Method for Hydrogen Purification," Energies, MDPI, vol. 14(24), pages 1-16, December.
    3. Evgeny Solomin & Shanmuga Priya Selvanathan & Sudhakar Kumarasamy & Anton Kovalyov & Ramyashree Maddappa Srinivasa, 2021. "The Comparison of Solar-Powered Hydrogen Closed-Cycle System Capacities for Selected Locations," Energies, MDPI, vol. 14(9), pages 1-18, May.
    4. Hafiz Muhammad Uzair Ayub & Sang Jin Park & Michael Binns, 2020. "Biomass to Syngas: Modified Non-Stoichiometric Thermodynamic Models for the Downdraft Biomass Gasification," Energies, MDPI, vol. 13(21), pages 1-17, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lei Gao & Jiaxin Wang & Maxime Binama & Qian Li & Weihua Cai, 2022. "The Design and Optimization of Natural Gas Liquefaction Processes: A Review," Energies, MDPI, vol. 15(21), pages 1-56, October.
    2. Qyyum, Muhammad Abdul & Lee, Moonyong, 2018. "Hydrofluoroolefin-based novel mixed refrigerant for energy efficient and ecological LNG production," Energy, Elsevier, vol. 157(C), pages 483-492.
    3. He, Tianbiao & Mao, Ning & Liu, Zuming & Qyyum, Muhammad Abdul & Lee, Moonyong & Pravez, Ashak Mahmud, 2020. "Impact of mixed refrigerant selection on energy and exergy performance of natural gas liquefaction processes," Energy, Elsevier, vol. 199(C).
    4. Xu, Xiongwen & Liu, Jinping & Cao, Le & Pang, Weiqiang, 2014. "Automatically varying the composition of a mixed refrigerant solution for single mixed refrigerant LNG (liquefied natural gas) process at changing working conditions," Energy, Elsevier, vol. 64(C), pages 931-941.
    5. 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.
    6. Tak, Kyungjae & Choi, Jiwon & Ryu, Jun-Hyung & Moon, Il, 2020. "Sensitivity analysis of effects of design parameters and decision variables on optimization of natural gas liquefaction process," Energy, Elsevier, vol. 206(C).
    7. Brodal, Eivind & Jackson, Steve & Eiksund, Oddmar, 2019. "Performance and design study of optimized LNG Mixed Fluid Cascade processes," Energy, Elsevier, vol. 189(C).
    8. 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).
    9. Santos, Lucas F. & Costa, Caliane B.B. & Caballero, José A. & Ravagnani, Mauro A.S.S., 2023. "Multi-objective simulation–optimization via kriging surrogate models applied to natural gas liquefaction process design," Energy, Elsevier, vol. 262(PB).
    10. 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).
    11. Wang, Xucen & Li, Min & Cai, Liuxi & Li, Yun, 2020. "Propane and iso-butane pre-cooled mixed refrigerant liquefaction process for small-scale skid-mounted natural gas liquefaction," Applied Energy, Elsevier, vol. 275(C).
    12. Khan, Mohd Shariq & I.A. Karimi, & Bahadori, Alireza & Lee, Moonyong, 2015. "Sequential coordinate random search for optimal operation of LNG (liquefied natural gas) plant," Energy, Elsevier, vol. 89(C), pages 757-767.
    13. Jin, Chunhe & Yuan, Yilong & Son, Heechang & Lim, Youngsub, 2022. "Novel propane-free mixed refrigerant integrated with nitrogen expansion natural gas liquefaction process for offshore units," Energy, Elsevier, vol. 238(PA).
    14. Sadaghiani, Mirhadi S. & Siahvashi, Arman & Norris, Bruce W.E. & Al Ghafri, Saif Z.S. & Arami-Niya, Arash & May, Eric F., 2022. "Prediction of solid formation conditions in mixed refrigerants with iso-pentane and methane at high pressures and cryogenic temperatures," Energy, Elsevier, vol. 250(C).
    15. Sanavandi, Hamid & Mafi, Mostafa & Ziabasharhagh, Masoud, 2019. "Normalized sensitivity analysis of LNG processes - Case studies: Cascade and single mixed refrigerant systems," Energy, Elsevier, vol. 188(C).
    16. Khaliq Majeed & Muhammad Abdul Qyyum & Alam Nawaz & Ashfaq Ahmad & Muhammad Naqvi & Tianbiao He & Moonyong Lee, 2020. "Shuffled Complex Evolution-Based Performance Enhancement and Analysis of Cascade Liquefaction Process for Large-Scale LNG Production," Energies, MDPI, vol. 13(10), pages 1-20, May.
    17. 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).
    18. Pospíšil, Jiří & Charvát, Pavel & Arsenyeva, Olga & Klimeš, Lubomír & Špiláček, Michal & Klemeš, Jiří Jaromír, 2019. "Energy demand of liquefaction and regasification of natural gas and the potential of LNG for operative thermal energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 99(C), pages 1-15.
    19. Zeyu Liu & Youshi Lan & Jianfeng Jia & Yiyun Geng & Xiaobin Dai & Litang Yan & Tongyang Hu & Jing Chen & Krzysztof Matyjaszewski & Gang Ye, 2022. "Multi-scale computer-aided design and photo-controlled macromolecular synthesis boosting uranium harvesting from seawater," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    20. Ghorbani, Bahram & Mehrpooya, Mehdi & Ghasemzadeh, Hossein, 2018. "Investigation of a hybrid water desalination, oxy-fuel power generation and CO2 liquefaction process," Energy, Elsevier, vol. 158(C), pages 1105-1119.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:19:p:5023-:d:418638. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.