IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i23p4475-d290424.html
   My bibliography  Save this article

Techno Economic Evaluation of Cold Energy from Malaysian Liquefied Natural Gas Regasification Terminals

Author

Listed:
  • Mohd Amin Abd Majid

    (Department of Mechanical Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia)

  • Hamdan Haji Ya

    (Department of Mechanical Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia)

  • Othman Mamat

    (Department of Mechanical Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia)

  • Shuhaimi Mahadzir

    (Department of Chemical Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia)

Abstract

In order to cater for increased demand for natural gas (NG) by the industry, Malaysia is required to import liquid natural gas (LNG). This is done through PETRONAS GAS Sdn Bhd. For LNG regasification, two regasification terminals have been set up, one in Sungai Udang Melaka (RGTSU) and another at Pengerang Johor (RGTPJ). RGTSU started operation in 2013 while RGTPJ began operation in 2017. The capacities of RGTSU and RGTPJ are 3.8 (500 mmscfd) and 3.5 (490 mmscfd) MTPA, respectively. RGTSU is an offshore plant and uses an intermediate-fluid-vaporization (IFV) process for regasification. RGTPJ is an onshore plant and employs open-rack vaporization (ORV). It is known that a substantial amount of cold energy is released during the regasification process. However, neither plant captures the cold energy released during regasification. This techno economic study serves to evaluate the technical and economic feasibility of the cold energy available during regasification. It was estimated that approximately 47,214 and 88,383 kWh of cold energy could be generated daily at RGTPJ and RGTSU, respectively, during regasification processes. Converting this energy into RTh at 70% thermal efficiency, and taking the commercial rate of 0.549 Sen per RTh, for the 20-year project life, an internal rate of return (IRR) of up to 33% and 17% was estimated for RGTPJ and for RGTSU, respectively.

Suggested Citation

  • Mohd Amin Abd Majid & Hamdan Haji Ya & Othman Mamat & Shuhaimi Mahadzir, 2019. "Techno Economic Evaluation of Cold Energy from Malaysian Liquefied Natural Gas Regasification Terminals," Energies, MDPI, vol. 12(23), pages 1-14, November.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:23:p:4475-:d:290424
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/23/4475/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/23/4475/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Bujang, A.S. & Bern, C.J. & Brumm, T.J., 2016. "Summary of energy demand and renewable energy policies in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1459-1467.
    3. 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.
    4. 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.
    5. Lee, Sangick, 2017. "Multi-parameter optimization of cold energy recovery in cascade Rankine cycle for LNG regasification using genetic algorithm," Energy, Elsevier, vol. 118(C), pages 776-782.
    6. Deng, Shimin & Jin, Hongguang & Cai, Ruixian & Lin, Rumou, 2004. "Novel cogeneration power system with liquefied natural gas (LNG) cryogenic exergy utilization," Energy, Elsevier, vol. 29(4), pages 497-512.
    7. Liu, Yanni & Guo, Kaihua, 2011. "A novel cryogenic power cycle for LNG cold energy recovery," Energy, Elsevier, vol. 36(5), pages 2828-2833.
    8. 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.
    9. Zhang, Na & Lior, Noam, 2006. "A novel near-zero CO2 emission thermal cycle with LNG cryogenic exergy utilization," Energy, Elsevier, vol. 31(10), pages 1666-1679.
    10. 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.
    11. 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.
    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. Dimitrios Dimitriou & Panagiotis Zeimpekis, 2022. "Appraisal Modeling for FSRU Greenfield Energy Projects," Energies, MDPI, vol. 15(9), pages 1-21, April.
    2. Maytungkorn Sermsuk & Yanin Sukjai & Montri Wiboonrat & Kunlanan Kiatkittipong, 2021. "Utilising Cold Energy from Liquefied Natural Gas (LNG) to Reduce the Electricity Cost of Data Centres," Energies, MDPI, vol. 14(19), 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. 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.
    2. 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.
    3. 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.
    4. Le, Si & Lee, Jui-Yuan & Chen, Cheng-Liang, 2018. "Waste cold energy recovery from liquefied natural gas (LNG) regasification including pressure and thermal energy," Energy, Elsevier, vol. 152(C), pages 770-787.
    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. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Choi, Hong Wone & Na, Sun-Ik & Hong, Sung Bin & Chung, Yoong & Kim, Dong Kyu & Kim, Min Soo, 2021. "Optimal design of organic Rankine cycle recovering LNG cold energy with finite heat exchanger size," Energy, Elsevier, vol. 217(C).
    12. Tomków, Łukasz & Cholewiński, Maciej, 2015. "Improvement of the LNG (liquid natural gas) regasification efficiency by utilizing the cold exergy with a coupled absorption – ORC (organic Rankine cycle)," Energy, Elsevier, vol. 87(C), pages 645-653.
    13. 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).
    14. 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.
    15. 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).
    16. Lee, Sangick, 2017. "Multi-parameter optimization of cold energy recovery in cascade Rankine cycle for LNG regasification using genetic algorithm," Energy, Elsevier, vol. 118(C), pages 776-782.
    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. Ghorbani, Bahram & Mahyari, Kimiya Borzoo & Mehrpooya, Mehdi & Hamedi, Mohammad-Hossein, 2020. "Introducing a hybrid renewable energy system for production of power and fresh water using parabolic trough solar collectors and LNG cold energy recovery," Renewable Energy, Elsevier, vol. 148(C), pages 1227-1243.
    19. 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.
    20. Xue, Feier & Chen, Yu & Ju, Yonglin, 2017. "Design and optimization of a novel cryogenic Rankine power generation system employing binary and ternary mixtures as working fluids based on the cold exergy utilization of liquefied natural gas (LNG)," Energy, Elsevier, vol. 138(C), pages 706-720.

    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:12:y:2019:i:23:p:4475-:d:290424. 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.