IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v165y2018ipbp673-688.html
   My bibliography  Save this article

Multi-stage Rankine cycle (MSRC) model for LNG cold-energy power generation system

Author

Listed:
  • Ma, Guoguang
  • Lu, Hongfang
  • Cui, Guobiao
  • Huang, Kun

Abstract

Power generation is the most important way to utilize LNG (liquefied natural gas) cold-energy. Currently, the efficiency of LNG cold-energy power generation is low, so it is necessary to improve the process. On the other hand, the requirements of refrigerants for different LNG cold-energy power generation cycles are different. Thus, improper selection of refrigerant can increase exergy loss and decrease the cold-energy utilization. In view of these two aspects, this paper makes a deep research on conventional refrigerants for low-temperature Rankine cycle (RC), the refrigerant selection principle of RC is determined. Based on the study of the LNG cold-energy release law and its gasification characteristics, LNG cold-energy power generation multi-stage utilization model is established. On the basis of the newly established model, the existing process is improved (this paper takes the five-stage RC power generation process as an example). The effects of gasification pressure, seawater temperature and stage number on the system are analyzed. The advantages of the multi-stage Rankine cycle (MSRC) are evaluated from the exergy recovery rate (ERR), LNG cold-energy utilization and net power generation (NPG). The main conclusions can be obtained: (1) compared with the single-stage RC, the ERR, cold-energy utilization, cold-exergy utilization and net power generation (NPG) of the five-stage RC are much higher. (2) under subcritical pressure conditions, the NPG of the first-stage cycle and the second-stage cycle accounts for the majority of the entire system NPG. (3) The difference in NPG between the two stages in the “supercritical pressure” grading system is not significant. (4) As the stage number of MSRC increases, the growth rate of NPG gradually slows down.

Suggested Citation

  • Ma, Guoguang & Lu, Hongfang & Cui, Guobiao & Huang, Kun, 2018. "Multi-stage Rankine cycle (MSRC) model for LNG cold-energy power generation system," Energy, Elsevier, vol. 165(PB), pages 673-688.
  • Handle: RePEc:eee:energy:v:165:y:2018:i:pb:p:673-688
    DOI: 10.1016/j.energy.2018.09.203
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218319819
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2018.09.203?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. Szargut, Jan & Szczygiel, Ireneusz, 2009. "Utilization of the cryogenic exergy of liquid natural gas (LNG) for the production of electricity," Energy, Elsevier, vol. 34(7), pages 827-837.
    2. Hisazumi, Y. & Yamasaki, Y. & Sugiyama, S., 1998. "Proposal for a high efficiency LNG power-generation system utilizing waste heat from the combined cycle," Applied Energy, Elsevier, vol. 60(3), pages 169-182, July.
    3. Badami, Marco & Bruno, Juan Carlos & Coronas, Alberto & Fambri, Gabriele, 2018. "Analysis of different combined cycles and working fluids for LNG exergy recovery during regasification," Energy, Elsevier, vol. 159(C), pages 373-384.
    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. Tian, Zhen & Gan, Wanlong & Qi, Zhixin & Tian, Molin & Gao, Wenzhong, 2022. "Experimental study of organic Rankine cycle with three-fluid recuperator for cryogenic cold energy recovery," Energy, Elsevier, vol. 242(C).
    2. Özen, Dilek Nur & Koçak, Betül, 2022. "Advanced exergy and exergo-economic analyses of a novel combined power system using the cold energy of liquefied natural gas," Energy, Elsevier, vol. 248(C).
    3. Chen, Kang & Han, Zihao & Fan, Gang & Zhang, Yicen & Yu, Haibin & Dai, Yiping, 2023. "Optimum design point exploration and performance analysis of a novel CO2 power generation system for LNG cold energy recovery: Considering the temperature fluctuation of heat source," Energy, Elsevier, vol. 275(C).
    4. Liu, Peng & Yang, Tianyan & Zheng, Hongbin & Huang, Xiang & Wang, Xuan & Qiu, Tian & Ding, Shuiting, 2024. "Thermodynamic analysis of power generation thermal management system for heat and cold exergy utilization from liquid hydrogen-fueled turbojet engine," Applied Energy, Elsevier, vol. 365(C).
    5. 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).
    6. Li, Yongyi & Liu, Yujia & Zhang, Guoqiang & Yang, Yongping, 2020. "Thermodynamic analysis of a novel combined cooling and power system utilizing liquefied natural gas (LNG) cryogenic energy and low-temperature waste heat," Energy, Elsevier, vol. 199(C).
    7. Liu, Yang & Han, Jitian & You, Huailiang, 2020. "Exergoeconomic analysis and multi-objective optimization of a CCHP system based on LNG cold energy utilization and flue gas waste heat recovery with CO2 capture," Energy, Elsevier, vol. 190(C).
    8. Huerta, Felipe & Vesovic, Velisa, 2019. "A realistic vapour phase heat transfer model for the weathering of LNG stored in large tanks," Energy, Elsevier, vol. 174(C), pages 280-291.
    9. Zhao, Liang & Zhang, Jiulei & Wang, Xiu & Feng, Junsheng & Dong, Hui & Kong, Xiangwei, 2020. "Dynamic exergy analysis of a novel LNG cold energy utilization system combined with cold, heat and power," Energy, Elsevier, vol. 212(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. Szczygiel, Ireneusz & Bulinski, Zbigniew, 2018. "Overview of the liquid natural gas (LNG) regasification technologies with the special focus on the Prof. Szargut's impact," Energy, Elsevier, vol. 165(PB), pages 999-1008.
    2. Choi, In-Hwan & Lee, Sangick & Seo, Yutaek & Chang, Daejun, 2013. "Analysis and optimization of cascade Rankine cycle for liquefied natural gas cold energy recovery," Energy, Elsevier, vol. 61(C), pages 179-195.
    3. Sun, Heng & Zhu, Hongmei & Liu, Feng & Ding, He, 2014. "Simulation and optimization of a novel Rankine power cycle for recovering cold energy from liquefied natural gas using a mixed working fluid," Energy, Elsevier, vol. 70(C), pages 317-324.
    4. Invernizzi, Costante M. & Iora, Paolo, 2016. "The exploitation of the physical exergy of liquid natural gas by closed power thermodynamic cycles. An overview," Energy, Elsevier, vol. 105(C), pages 2-15.
    5. 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.
    6. Kanbur, Baris Burak & Xiang, Liming & Dubey, Swapnil & Choo, Fook Hoong & Duan, Fei, 2017. "Cold utilization systems of LNG: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1171-1188.
    7. Romero Gómez, M. & Ferreiro Garcia, R. & Romero Gómez, J. & Carbia Carril, J., 2014. "Review of thermal cycles exploiting the exergy of liquefied natural gas in the regasification process," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 781-795.
    8. Huang, Z.F. & Wan, Y.D. & Soh, K.Y. & Islam, M.R. & Chua, K.J., 2022. "Off-design and flexibility analyses of combined cooling and power based liquified natural gas (LNG) cold energy utilization system under fluctuating regasification rates," Applied Energy, Elsevier, vol. 310(C).
    9. Hou, Mingyu & Wu, Zhanghua & Yu, Guoyao & Hu, Jianying & Luo, Ercang, 2018. "A thermoacoustic Stirling electrical generator for cold exergy recovery of liquefied nature gas," Applied Energy, Elsevier, vol. 226(C), pages 389-396.
    10. Sun, Zhixin & Xu, Fuquan & Wang, Shujia & Lai, Jianpeng & Lin, Kui, 2017. "Comparative study of Rankine cycle configurations utilizing LNG cold energy under different NG distribution pressures," Energy, Elsevier, vol. 139(C), pages 380-393.
    11. Wang, Jiangfeng & Yan, Zhequan & Wang, Man & Dai, Yiping, 2013. "Thermodynamic analysis and optimization of an ammonia-water power system with LNG (liquefied natural gas) as its heat sink," Energy, Elsevier, vol. 50(C), pages 513-522.
    12. Yoonho, Lee, 2019. "LNG-FSRU cold energy recovery regasification using a zeotropic mixture of ethane and propane," Energy, Elsevier, vol. 173(C), pages 857-869.
    13. 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).
    14. Atienza-Márquez, Antonio & Bruno, Joan Carles & Akisawa, Atsushi & Coronas, Alberto, 2019. "Performance analysis of a combined cold and power (CCP) system with exergy recovery from LNG-regasification," Energy, Elsevier, vol. 183(C), pages 448-461.
    15. Huang, Z.F. & Soh, K.Y. & Islam, M.R. & Chua, K.J., 2022. "Digital twin driven life-cycle operation optimization for combined cooling heating and power-cold energy recovery (CCHP-CER) system," Applied Energy, Elsevier, vol. 324(C).
    16. Kumar, Satish & Kwon, Hyouk-Tae & Choi, Kwang-Ho & Lim, Wonsub & Cho, Jae Hyun & Tak, Kyungjae & Moon, Il, 2011. "LNG: An eco-friendly cryogenic fuel for sustainable development," Applied Energy, Elsevier, vol. 88(12), pages 4264-4273.
    17. Park, Chansaem & Song, Kiwook & Lee, Sangho & Lim, Youngsub & Han, Chonghun, 2012. "Retrofit design of a boil-off gas handling process in liquefied natural gas receiving terminals," Energy, Elsevier, vol. 44(1), pages 69-78.
    18. Lee, Ung & Kim, Kyeongsu & Han, Chonghun, 2014. "Design and optimization of multi-component organic rankine cycle using liquefied natural gas cryogenic exergy," Energy, Elsevier, vol. 77(C), pages 520-532.
    19. Ahmad, Abdalqader & Al-Dadah, Raya & Mahmoud, Saad, 2016. "Air conditioning and power generation for residential applications using liquid nitrogen," Applied Energy, Elsevier, vol. 184(C), pages 630-640.
    20. 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.

    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:165:y:2018:i:pb:p:673-688. 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.