IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v183y2016icp43-60.html
   My bibliography  Save this article

Assessment of thermodynamic models for the design, analysis and optimisation of gas liquefaction systems

Author

Listed:
  • Nguyen, Tuong-Van
  • Elmegaard, Brian

Abstract

Natural gas liquefaction systems are based on refrigeration cycles – they consist of the same operations such as heat exchange, compression and expansion, but they have different layouts, components and working fluids. The design of these systems requires a preliminary simulation and evaluation of their performance. However, the thermodynamic models used for this purpose are characterised by different mathematical formulations, ranges of application and levels of accuracy. This may lead to inconsistent results when estimating hydrocarbon properties and assessing the efficiency of a given process. This paper presents a thorough comparison of six equations of state widely used in the academia and industry, including the GERG-2008 model, which has recently been adopted as an ISO standard for natural gases. These models are used to (i) estimate the thermophysical properties of a Danish natural gas, (ii) simulate, and (iii) optimise liquefaction systems. Three case studies are considered: a cascade layout with three pure refrigerants, a single mixed-refrigerant unit, and an expander-based configuration. Significant deviations are found between all property models, and in all case studies. The main discrepancies are related to the prediction of the energy flows (up to 7%) and to the heat exchanger conductances (up to 11%), and they are not systematic errors. The results illustrate the superiority of using the GERG-2008 model for designing gas processes in real applications, with the aim of reducing their energy use. They demonstrate as well that particular caution should be exercised when extrapolating the results of the conventional thermodynamic models to the actual conception of the gas liquefaction chain.

Suggested Citation

  • Nguyen, Tuong-Van & Elmegaard, Brian, 2016. "Assessment of thermodynamic models for the design, analysis and optimisation of gas liquefaction systems," Applied Energy, Elsevier, vol. 183(C), pages 43-60.
    • Handle: RePEc:eee:appene:v:183:y:2016:i:c:p:43-60
    DOI: 10.1016/j.apenergy.2016.08.174
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030626191631282X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2016.08.174?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Li, Yongliang & Wang, Xiang & Ding, Yulong, 2012. "An optimal design methodology for large-scale gas liquefaction," Applied Energy, Elsevier, vol. 99(C), pages 484-490.
    3. Remeljej, C.W. & Hoadley, A.F.A., 2006. "An exergy analysis of small-scale liquefied natural gas (LNG) liquefaction processes," Energy, Elsevier, vol. 31(12), pages 2005-2019.
    4. Dauber, Florian & Span, Roland, 2012. "Modelling liquefied-natural-gas processes using highly accurate property models," Applied Energy, Elsevier, vol. 97(C), pages 822-827.
    5. Mortazavi, A. & Somers, C. & Hwang, Y. & Radermacher, R. & Rodgers, P. & Al-Hashimi, S., 2012. "Performance enhancement of propane pre-cooled mixed refrigerant LNG plant," Applied Energy, Elsevier, vol. 93(C), pages 125-131.
    6. 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.
    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. Kalikatzarakis, Miltiadis & Theotokatos, Gerasimos & Coraddu, Andrea & Sayan, Paul & Wong, Seng Yew, 2022. "Model based analysis of the boil-off gas management and control for LNG fuelled vessels," Energy, Elsevier, vol. 251(C).
    2. Kwak, Dong-Hun & Heo, Jeong-Ho & Park, Seung-Ha & Seo, Seok-Jang & Kim, Jin-Kuk, 2018. "Energy-efficient design and optimization of boil-off gas (BOG) re-liquefaction process for liquefied natural gas (LNG)-fuelled ship," Energy, Elsevier, vol. 148(C), pages 915-929.
    3. Chen, Chen & Yuan, Haoyu & Bi, Rongshan & Wang, Na & Li, Yujiao & He, Yan & Wang, Fei, 2022. "A novel conceptual design of LNG-sourced natural gas peak-shaving with gas hydrates as the medium," Energy, Elsevier, vol. 253(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. He, Tianbiao & Nair, Sajitha K. & Babu, Ponnivalavan & Linga, Praveen & Karimi, Iftekhar A., 2018. "A novel conceptual design of hydrate based desalination (HyDesal) process by utilizing LNG cold energy," Applied Energy, Elsevier, vol. 222(C), pages 13-24.

    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. 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).
    2. Ancona, M.A. & Bianchi, M. & Branchini, L. & De Pascale, A. & Melino, F. & Mormile, M. & Palella, M. & Scarponi, L.B., 2018. "Investigation on small-scale low pressure LNG production process," Applied Energy, Elsevier, vol. 227(C), pages 672-685.
    3. 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).
    4. Baccanelli, Margaret & Langé, Stefano & Rocco, Matteo V. & Pellegrini, Laura A. & Colombo, Emanuela, 2016. "Low temperature techniques for natural gas purification and LNG production: An energy and exergy analysis," Applied Energy, Elsevier, vol. 180(C), pages 546-559.
    5. 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.
    6. 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.
    7. Kwak, Dong-Hun & Heo, Jeong-Ho & Park, Seung-Ha & Seo, Seok-Jang & Kim, Jin-Kuk, 2018. "Energy-efficient design and optimization of boil-off gas (BOG) re-liquefaction process for liquefied natural gas (LNG)-fuelled ship," Energy, Elsevier, vol. 148(C), pages 915-929.
    8. 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).
    9. Son, Heechang & Austbø, Bjørn & Gundersen, Truls & Hwang, Jihyun & Lim, Youngsub, 2022. "Techno-economic versus energy optimization of natural gas liquefaction processes with different heat exchanger technologies," Energy, Elsevier, vol. 245(C).
    10. 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.
    11. Aasadnia, Majid & Mehrpooya, Mehdi, 2018. "Large-scale liquid hydrogen production methods and approaches: A review," Applied Energy, Elsevier, vol. 212(C), pages 57-83.
    12. Kim, Juwon & Seo, Youngkyun & Chang, Daejun, 2016. "Economic evaluation of a new small-scale LNG supply chain using liquid nitrogen for natural-gas liquefaction," Applied Energy, Elsevier, vol. 182(C), pages 154-163.
    13. Xiong, Xiaojun & Lin, Wensheng & Gu, Anzhong, 2015. "Integration of CO2 cryogenic removal with a natural gas pressurized liquefaction process using gas expansion refrigeration," Energy, Elsevier, vol. 93(P1), pages 1-9.
    14. Li, Yong & Xie, Gongnan & Sunden, Bengt & Lu, Yuanwei & Wu, Yuting & Qin, Jiang, 2018. "Performance study on a single-screw compressor for a portable natural gas liquefaction process," Energy, Elsevier, vol. 148(C), pages 1032-1045.
    15. 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.
    16. He, Tianbiao & Liu, Zuming & Ju, Yonglin & Parvez, Ashak Mahmud, 2019. "A comprehensive optimization and comparison of modified single mixed refrigerant and parallel nitrogen expansion liquefaction process for small-scale mobile LNG plant," Energy, Elsevier, vol. 167(C), pages 1-12.
    17. Lee, Jaejun & Son, Heechang & Yu, Taejong & Oh, Juyoung & Park, Min Gyun & Lim, Youngsub, 2023. "Process design of advanced LNG subcooling system combined with a mixed refrigerant cycle," Energy, Elsevier, vol. 278(PA).
    18. 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).
    19. 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).
    20. 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.

    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:eee:appene:v:183:y:2016:i:c:p:43-60. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.