IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v89y2015icp757-767.html
   My bibliography  Save this article

Sequential coordinate random search for optimal operation of LNG (liquefied natural gas) plant

Author

Listed:
  • Khan, Mohd Shariq
  • I.A. Karimi,
  • Bahadori, Alireza
  • Lee, Moonyong

Abstract

This study exploits the sequential coordinate randomization search method for optimizing LNG (liquefied natural gas) process plants. The coordinate search is based on the idea of minimizing the multivariable function considering one variable at a time. The random element is incorporated in the coordinated search for an exhaustive exploration of decision variable space. A simple implementation with few operating parameters makes the proposed approach suitable for the optimization of highly non-linear LNG process plants. The efficacy of the proposed methodology was tested on the well-known SMR (single mixed refrigerant) and propane pre-cooled mixed refrigerant (C3MR) process of NG liquefaction. The main decision variables in SMR and C3MR process plants were identified and optimized in terms of the compression energy. The results were compared with the heuristic results, which revealed the superiority, simplicity and suitability of the proposed sequential coordinate random search algorithm for LNG process plants.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:89:y:2015:i:c:p:757-767
    DOI: 10.1016/j.energy.2015.06.021
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544215007677
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2015.06.021?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. Liu, Yanni & Guo, Kaihua, 2011. "A novel cryogenic power cycle for LNG cold energy recovery," Energy, Elsevier, vol. 36(5), pages 2828-2833.
    3. NESTEROV, Yurii, 2012. "Efficiency of coordinate descent methods on huge-scale optimization problems," LIDAM Reprints CORE 2511, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. 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.
    5. Gómez, Manuel Romero & Garcia, Ramón Ferreiro & Gómez, Javier Romero & Carril, José Carbia, 2014. "Thermodynamic analysis of a Brayton cycle and Rankine cycle arranged in series exploiting the cold exergy of LNG (liquefied natural gas)," Energy, Elsevier, vol. 66(C), pages 927-937.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Tan, Hongbo & Li, Yanzhong & Tuo, Hanfei & Zhou, Man & Tian, Baocong, 2010. "Experimental study on liquid/solid phase change for cold energy storage of Liquefied Natural Gas (LNG) refrigerated vehicle," Energy, Elsevier, vol. 35(5), pages 1927-1935.
    11. 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.
    12. 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.
    13. Xia, Guanghui & Sun, Qingxuan & Cao, Xu & Wang, Jiangfeng & Yu, Yizhao & Wang, Laisheng, 2014. "Thermodynamic analysis and optimization of a solar-powered transcritical CO2 (carbon dioxide) power cycle for reverse osmosis desalination based on the recovery of cryogenic energy of LNG (liquefied n," Energy, Elsevier, vol. 66(C), pages 643-653.
    14. 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.
    15. 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.
    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. Oh, Jin-Sik & Binns, Michael & Park, Sangmin & Kim, Jin-Kuk, 2016. "Improving the energy efficiency of industrial refrigeration systems," Energy, Elsevier, vol. 112(C), pages 826-835.
    2. 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.
    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. He, Ting & Lin, Wensheng, 2020. "A novel propane pre-cooled mixed refrigerant process for coproduction of LNG and high purity ethane," Energy, Elsevier, vol. 202(C).
    5. Santos, Lucas F. & Costa, Caliane B.B. & Caballero, José A. & Ravagnani, Mauro A.S.S., 2022. "Framework for embedding black-box simulation into mathematical programming via kriging surrogate model applied to natural gas liquefaction process optimization," Applied Energy, Elsevier, vol. 310(C).
    6. 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.
    7. Na, Jonggeol & Lim, Youngsub & Han, Chonghun, 2017. "A modified DIRECT algorithm for hidden constraints in an LNG process optimization," Energy, Elsevier, vol. 126(C), pages 488-500.
    8. 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.
    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).

    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. Zhao, Liang & Dong, Hui & Tang, Jiajun & Cai, Jiuju, 2016. "Cold energy utilization of liquefied natural gas for capturing carbon dioxide in the flue gas from the magnesite processing industry," Energy, Elsevier, vol. 105(C), pages 45-56.
    2. 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.
    3. Romero Gómez, Manuel & Romero Gómez, Javier & López-González, Luis M. & López-Ochoa, Luis M., 2016. "Thermodynamic analysis of a novel power plant with LNG (liquefied natural gas) cold exergy exploitation and CO2 capture," Energy, Elsevier, vol. 105(C), pages 32-44.
    4. 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.
    5. 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).
    6. 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.
    7. Kim, Kyeongsu & Lee, Ung & Kim, Changsoo & Han, Chonghun, 2015. "Design and optimization of cascade organic Rankine cycle for recovering cryogenic energy from liquefied natural gas using binary working fluid," Energy, Elsevier, vol. 88(C), pages 304-313.
    8. 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.
    9. 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.
    10. Lee, Ung & Mitsos, Alexander, 2017. "Optimal multicomponent working fluid of organic Rankine cycle for exergy transfer from liquefied natural gas regasification," Energy, Elsevier, vol. 127(C), pages 489-501.
    11. Na, Jonggeol & Lim, Youngsub & Han, Chonghun, 2017. "A modified DIRECT algorithm for hidden constraints in an LNG process optimization," Energy, Elsevier, vol. 126(C), pages 488-500.
    12. García, Ramón Ferreiro & Carril, Jose Carbia & Gomez, Javier Romero & Gomez, Manuel Romero, 2016. "Combined cascaded Rankine and direct expander based power units using LNG (liquefied natural gas) cold as heat sink in LNG regasification," Energy, Elsevier, vol. 105(C), pages 16-24.
    13. 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).
    14. 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).
    15. Domingues, António & Matos, Henrique A. & Pereira, Pedro M., 2022. "Novel integrated system of LNG regasification / electricity generation based on a cascaded two-stage Rankine cycle, with ternary mixtures as working fluids and seawater as hot utility," Energy, Elsevier, vol. 238(PC).
    16. Wang, Xiu & Zhao, Liang & Zhang, Lihui & Zhang, Menghui & Dong, Hui, 2019. "A novel combined system for LNG cold energy utilization to capture carbon dioxide in the flue gas from the magnesite processing industry," Energy, Elsevier, vol. 187(C).
    17. Lee, Inkyu & Park, Jinwoo & You, Fengqi & Moon, Il, 2019. "A novel cryogenic energy storage system with LNG direct expansion regasification: Design, energy optimization, and exergy analysis," Energy, Elsevier, vol. 173(C), pages 691-705.
    18. 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.
    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. 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).

    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:89:y:2015:i:c:p:757-767. 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.