IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v199y2020ics0360544220304850.html
   My bibliography  Save this article

Impact of mixed refrigerant selection on energy and exergy performance of natural gas liquefaction processes

Author

Listed:
  • He, Tianbiao
  • Mao, Ning
  • Liu, Zuming
  • Qyyum, Muhammad Abdul
  • Lee, Moonyong
  • Pravez, Ashak Mahmud

Abstract

Selection of mixed refrigerant has a significant impact on the performance of the single mixed refrigerant process for natural gas liquefaction. However, current studies mainly focus on optimizing the fraction of the mixed refrigerant with pre-fixed components which cannot guarantee the optimal solution. To address this issue, a simulation-based optimization methodology was proposed for simultaneously determining the components and their respective fractions in a mixed refrigerant. The methodology selected the optimal mixed refrigerant components from a database of the potential refrigerants with different objective functions. Then, four case studies of mixed refrigerants with three, four, five, and six components were optimized to determine their optimal combination of components and the fraction of each component by minimizing the specific energy consumption. Subsequently, the energetic and exergetic analyses were conducted to reveal the relationships between the mixed refrigerant components and the process performance. The results showed that the minimum specific energy consumption for the mixed refrigerant comprising three, four, five and six components was 0.721 (A3), 0.403 (B10), 0.392 (C10) and 0.343 (D14) kWh/kg respectively. The specific energy consumption declined drastically by 44.11% in moving from three (A3) to four (B10) components, with a less pronounced decrease of 14.9% in moving from four (B10) to six (D14) components. Moreover, the exergy efficiency of A3, B10, C10, and D14 was 36.74, 55.39, 56.44, and 61.66%, respectively. The results indicated that the energetic and exergetic efficiencies were severely influenced by the selection of components for the mixed refrigerant. Therefore, the proposed methodology provides a viable method of simultaneously determining the refrigerant components and fractions for mixed refrigerant-based processes to achieve the minimum specific energy consumption and maximum exergy efficiency.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:199:y:2020:i:c:s0360544220304850
    DOI: 10.1016/j.energy.2020.117378
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544220304850
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2020.117378?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, 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. He, Tianbiao & Chong, Zheng Rong & Zheng, Junjie & Ju, Yonglin & Linga, Praveen, 2019. "LNG cold energy utilization: Prospects and challenges," Energy, Elsevier, vol. 170(C), pages 557-568.
    3. Mokarizadeh Haghighi Shirazi, M. & Mowla, D., 2010. "Energy optimization for liquefaction process of natural gas in peak shaving plant," Energy, Elsevier, vol. 35(7), pages 2878-2885.
    4. Mehrpooya, Mehdi & Sharifzadeh, Mohammad Mehdi Moftakhari & Mousavi, Seyed Ali, 2019. "Evaluation of an optimal integrated design multi-fuel multi-product electrical power plant by energy and exergy analyses," Energy, Elsevier, vol. 169(C), pages 61-78.
    5. 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.
    6. 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.
    7. 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.
    8. Song, Chang & Tan, Shuai & Qu, Fengcheng & Liu, Weidong & Wu, Yong, 2019. "Optimization of mixed refrigerant system for LNG processes through graphically reducing exergy destruction of cryogenic heat exchangers," Energy, Elsevier, vol. 168(C), pages 200-206.
    9. He, Tianbiao & Ju, Yonglin, 2016. "Dynamic simulation of mixed refrigerant process for small-scale LNG plant in skid mount packages," Energy, Elsevier, vol. 97(C), pages 350-358.
    10. He, Tianbiao & Ju, Yonglin, 2014. "A novel conceptual design of parallel nitrogen expansion liquefaction process for small-scale LNG (liquefied natural gas) plant in skid-mount packages," Energy, Elsevier, vol. 75(C), pages 349-359.
    11. 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.
    12. 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.
    13. 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.
    14. 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. Gu, Jiwon & Choe, Changgwon & Haider, Junaid & Al-Abri, Rashid & Qyyum, Muhammad Abdul & Al-Muhtaseb, Ala'a H. & Lim, Hankwon, 2023. "Development and modification of large-scale hydrogen liquefaction process empowered by LNG cold energy: A feasibility study," Applied Energy, Elsevier, vol. 351(C).
    2. Tak, Kyungjae & Park, Jaedeuk & Moon, Il & Lee, Ung, 2023. "Comparison of mixed refrigerant cycles for natural gas liquefaction: From single mixed refrigerant to mixed fluid cascade processes," Energy, Elsevier, vol. 272(C).
    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. Han, Donggu & Tak, Kyungjae & Park, Jaedeuk & Lee, Ki Bong & Moon, Jong-Ho & Lee, Ung, 2023. "Impact of liquefaction ratio and cold energy recovery on liquefied natural gas production," Applied Energy, Elsevier, vol. 352(C).
    5. He, Tianbiao & Zhang, Jibao & Mao, Ning & Linga, Praveen, 2021. "Organic Rankine cycle integrated with hydrate-based desalination for a sustainable energy–water nexus system," Applied Energy, Elsevier, vol. 291(C).
    6. Sarfaraz, Bisma & Kazmi, Bilal & Taqvi, Syed Ali Ammar & Raza, Faizan & Rashid, Rushna & Siddiqui, Leenah & Zehra, Syeda Fatima & Bokhari, Awais & Jaromír Klemeš, Jiří & Ouladsmane, Mohamed, 2023. "Thermodynamic evaluation of mixed refrigerant selection in dual mixed refrigerant NG liquefaction process with respect to 3E's (Energy, Exergy, Economics)," Energy, Elsevier, vol. 283(C).
    7. 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.
    8. 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).
    9. 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).
    10. 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).

    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. 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.
    2. 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.
    3. 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).
    4. 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).
    5. He, Tianbiao & Zhou, Zhongming & Mao, Ning & Qyyum, Muhammad Abdul, 2024. "Transcritical CO2 precooled single mixed refrigerant natural gas liquefaction process: Exergy and Exergoeconomic optimization," Energy, Elsevier, vol. 294(C).
    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. 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).
    8. 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.
    9. 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).
    10. 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.
    11. Fazlollahi, Farhad & Bown, Alex & Ebrahimzadeh, Edris & Baxter, Larry L., 2015. "Design and analysis of the natural gas liquefaction optimization process- CCC-ES (energy storage of cryogenic carbon capture)," Energy, Elsevier, vol. 90(P1), pages 244-257.
    12. 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.
    13. Brodal, Eivind & Jackson, Steve & Eiksund, Oddmar, 2019. "Performance and design study of optimized LNG Mixed Fluid Cascade processes," Energy, Elsevier, vol. 189(C).
    14. 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).
    15. Zhang, Qiang & Zhang, Ningqi & Zhu, Shengbo & Heydarian, Dariush, 2023. "Thermodynamic simulation and optimization of natural gas liquefaction cycle based on the common structure of organic rankine cycle," Energy, Elsevier, vol. 264(C).
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. He, Tianbiao & Lv, Hongyu & Shao, Zixian & Zhang, Jibao & Xing, Xialian & Ma, Huigang, 2020. "Cascade utilization of LNG cold energy by integrating cryogenic energy storage, organic Rankine cycle and direct cooling," Applied Energy, Elsevier, vol. 277(C).

    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:energy:v:199:y:2020:i:c:s0360544220304850. 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.journals.elsevier.com/energy .

    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.