IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v326y2022ics0306261922012478.html
   My bibliography  Save this article

Dynamic thermal modeling of the refrigerated liquified CO2 tanker in carbon capture, utilization, and storage chain: A truck transport case study

Author

Listed:
  • Golrokh Sani, Ahmad
  • Najafi, Hamidreza
  • Azimi, Seyedeh Shakiba

Abstract

Proper estimation of the energy consumption of tanker-based methods for the storage and transport of liquified CO2 gas is a major concern in the techno-economic analysis and selection between the existing technologies within the carbon capture, utilization, and storage (CCUS) chain. In this study, the dynamic thermal modeling of a liquified CO2 insulated-body tanker truck equipped with a refrigeration unit is presented to simulate the transient thermal performance of the tanker truck during a typical long-distance delivery mission. The main purpose of this research is to provide a more precise estimation of the heat leak quantity to the tanker, pressure build-up, and the refrigeration cooling demand and energy consumption. A two-way coupled set of unsteady-state differential equations are established on the participating elements included in the non-equilibrium thermal system of the tanker and refrigeration unit. The dynamic variations of ambient condition parameters, including the ambient temperature, solar radiation levels, degree of cloudiness, and wind velocity are incorporated into the model based on the annual average meteorological data in three modes of ambient conditions: the warmest week, a moderate week, and the coldest week of the year. The computational fluid dynamic (CFD) modeling of the liquid and gas phase CO2 inside the vessel is also implemented in order to determine the required heat transfer coefficients used in the model. According to the modeling results, the average vessel inward heat leak changes from 11.08 W/m2 in the warmest week of the year to 8.18 W/m2 and 5.11 W/m2 for a moderate and the coldest week, respectively, with 26.17 % and 53.88 % decrease. On the other hand, the refrigeration coefficient of performance (COP) is improved from 1.10 in the warmest week to 1.23 and 1.36 in a moderate and the coldest week, respectively, by 11.82 % and 23.63 % increase. As a measure of energy consumption of the refrigerated CO2 tanker truck at different ambient conditions, the average compressor power consumption changes from 56 W/m3CO2 in the warmest week of the year to 41 W/m3CO2 and 28 W/m3CO2 in a moderate and the coldest week, respectively, with 26.78 % and 50.00 % decrease. The novel modeling approach proposed in this study could also be used to study various design aspects of the refrigerated CO2 transport and storage tankers.

Suggested Citation

  • Golrokh Sani, Ahmad & Najafi, Hamidreza & Azimi, Seyedeh Shakiba, 2022. "Dynamic thermal modeling of the refrigerated liquified CO2 tanker in carbon capture, utilization, and storage chain: A truck transport case study," Applied Energy, Elsevier, vol. 326(C).
    • Handle: RePEc:eee:appene:v:326:y:2022:i:c:s0306261922012478
    DOI: 10.1016/j.apenergy.2022.119990
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261922012478
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2022.119990?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. Fang, Kai & Tang, Yiqi & Zhang, Qifeng & Song, Junnian & Wen, Qi & Sun, Huaping & Ji, Chenyang & Xu, Anqi, 2019. "Will China peak its energy-related carbon emissions by 2030? Lessons from 30 Chinese provinces," Applied Energy, Elsevier, vol. 255(C).
    2. Saif Z. S. Al Ghafri & Adam Swanger & Vincent Jusko & Arman Siahvashi & Fernando Perez & Michael L. Johns & Eric F. May, 2022. "Modelling of Liquid Hydrogen Boil-Off," Energies, MDPI, vol. 15(3), pages 1-16, February.
    3. Mohd Shariq Khan & Muhammad Abdul Qyyum & Wahid Ali & Aref Wazwaz & Khursheed B. Ansari & Moonyong Lee, 2020. "Energy Saving through Efficient BOG Prediction and Impact of Static Boil-off-Rate in Full Containment-Type LNG Storage Tank," Energies, MDPI, vol. 13(21), pages 1-14, October.
    4. Yude Shao & Yoonhyeok Lee & Hokeun Kang, 2019. "Dynamic Optimization of Boil-Off Gas Generation for Different Time Limits in Liquid Natural Gas Bunkering," Energies, MDPI, vol. 12(6), pages 1-16, March.
    5. Simon Roussanaly & Han Deng & Geir Skaugen & Truls Gundersen, 2021. "At what Pressure Shall CO 2 Be Transported by Ship? An in-Depth Cost Comparison of 7 and 15 Barg Shipping," Energies, MDPI, vol. 14(18), pages 1-27, September.
    6. Psarras, Peter C. & Comello, Stephen & Bains, Praveen & Charoensawadpong, Panunya & Reichelstein, Stefan J. & Wilcox, Jennifer, 2017. "Carbon Capture and Utilization in the Industrial Sector," Research Papers repec:ecl:stabus:3493, Stanford University, Graduate School of Business.
    7. Wu, Sixian & Ju, Yonglin, 2021. "Numerical study of the boil-off gas (BOG) generation characteristics in a type C independent liquefied natural gas (LNG) tank under sloshing excitation," Energy, Elsevier, vol. 223(C).
    8. Paltsev, Sergey & Morris, Jennifer & Kheshgi, Haroon & Herzog, Howard, 2021. "Hard-to-Abate Sectors: The role of industrial carbon capture and storage (CCS) in emission mitigation," Applied Energy, Elsevier, vol. 300(C).
    9. Giacomelli, Francesco & Mazzelli, Federico & Milazzo, Adriano, 2018. "A novel CFD approach for the computation of R744 flashing nozzles in compressible and metastable conditions," Energy, Elsevier, vol. 162(C), pages 1092-1105.
    10. Al Baroudi, Hisham & Awoyomi, Adeola & Patchigolla, Kumar & Jonnalagadda, Kranthi & Anthony, E.J., 2021. "A review of large-scale CO2 shipping and marine emissions management for carbon capture, utilisation and storage," Applied Energy, Elsevier, vol. 287(C).
    11. Liu, Bin & Liu, Xiong & Lu, Cheng & Godbole, Ajit & Michal, Guillaume & Tieu, Anh Kiet, 2018. "A CFD decompression model for CO2 mixture and the influence of non-equilibrium phase transition," Applied Energy, Elsevier, vol. 227(C), pages 516-524.
    12. Yoo, Byeong-Yong, 2017. "The development and comparison of CO2 BOG re-liquefaction processes for LNG fueled CO2 carriers," Energy, Elsevier, vol. 127(C), pages 186-197.
    13. Liu, Bingsheng & Liu, Song & Xue, Bin & Lu, Shijian & Yang, Yang, 2021. "Formalizing an integrated decision-making model for the risk assessment of carbon capture, utilization, and storage projects: From a sustainability perspective," Applied Energy, Elsevier, vol. 303(C).
    14. Jessie R. Smith & Savvas Gkantonas & Epaminondas Mastorakos, 2022. "Modelling of Boil-Off and Sloshing Relevant to Future Liquid Hydrogen Carriers," Energies, MDPI, vol. 15(6), pages 1-32, March.
    15. Franco, Brais Armiño & Baptista, Patrícia & Neto, Rui Costa & Ganilha, Sofia, 2021. "Assessment of offloading pathways for wind-powered offshore hydrogen production: Energy and economic analysis," Applied Energy, Elsevier, vol. 286(C).
    16. He, Jianjian & Yang, Yi & Liao, Zhongju & Xu, Anqi & Fang, Kai, 2022. "Linking SDG 7 to assess the renewable energy footprint of nations by 2030," Applied Energy, Elsevier, vol. 317(C).
    Full references (including those not matched with items on IDEAS)

    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. McLaughlin, Hope & Littlefield, Anna A. & Menefee, Maia & Kinzer, Austin & Hull, Tobias & Sovacool, Benjamin K. & Bazilian, Morgan D. & Kim, Jinsoo & Griffiths, Steven, 2023. "Carbon capture utilization and storage in review: Sociotechnical implications for a carbon reliant world," Renewable and Sustainable Energy Reviews, Elsevier, vol. 177(C).
    2. Kang, Goanwoo & Im, Junyoung & Lee, Chul-Jin, 2024. "Operational strategy to minimize operating cost in LNG terminal using a comprehensive numerical boil-off gas model," Energy, Elsevier, vol. 296(C).
    3. Enbin Liu & Xudong Lu & Daocheng Wang, 2023. "A Systematic Review of Carbon Capture, Utilization and Storage: Status, Progress and Challenges," Energies, MDPI, vol. 16(6), pages 1-48, March.
    4. Jessie R. Smith & Savvas Gkantonas & Epaminondas Mastorakos, 2022. "Modelling of Boil-Off and Sloshing Relevant to Future Liquid Hydrogen Carriers," Energies, MDPI, vol. 15(6), pages 1-32, March.
    5. Zhang, Tongtong & Uratani, Joao & Huang, Yixuan & Xu, Lejin & Griffiths, Steve & Ding, Yulong, 2023. "Hydrogen liquefaction and storage: Recent progress and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
    6. Callas, Catherine & Saltzer, Sarah D. & Steve Davis, J. & Hashemi, Sam S. & Kovscek, Anthony R. & Okoroafor, Esuru R. & Wen, Gege & Zoback, Mark D. & Benson, Sally M., 2022. "Criteria and workflow for selecting depleted hydrocarbon reservoirs for carbon storage," Applied Energy, Elsevier, vol. 324(C).
    7. Shi, Changfeng & Zhi, Jiaqi & Yao, Xiao & Zhang, Hong & Yu, Yue & Zeng, Qingshun & Li, Luji & Zhang, Yuxi, 2023. "How can China achieve the 2030 carbon peak goal—a crossover analysis based on low-carbon economics and deep learning," Energy, Elsevier, vol. 269(C).
    8. Lin, Fan & Xie, Danyang, 2024. "The Role of R&D for Climate Change Mitigation in China: a Dynamic General Equilibrium Analysis," MPRA Paper 123556, University Library of Munich, Germany.
    9. Meng Guo & Shukai Cai, 2022. "Impact of Green Innovation Efficiency on Carbon Peak: Carbon Neutralization under Environmental Governance Constraints," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    10. Zhang, Kai & Lau, Hon Chung & Liu, Shuyang & Li, Hangyu, 2022. "Carbon capture and storage in the coastal region of China between Shanghai and Hainan," Energy, Elsevier, vol. 247(C).
    11. Abdulrahman Joubi & Yutaro Akimoto & Keiichi Okajima, 2022. "A Production and Delivery Model of Hydrogen from Solar Thermal Energy in the United Arab Emirates," Energies, MDPI, vol. 15(11), pages 1-14, May.
    12. Yan, Peiliang & Fan, Weijun & Han, Yu & Ding, Hongbing & Wen, Chuang & Elbarghthi, Anas F.A. & Yang, Yan, 2023. "Leaf-vein bionic fin configurations for enhanced thermal energy storage performance of phase change materials in smart heating and cooling systems," Applied Energy, Elsevier, vol. 346(C).
    13. Lili Sun & Huijuan Cui & Quansheng Ge, 2021. "Driving Factors and Future Prediction of Carbon Emissions in the ‘Belt and Road Initiative’ Countries," Energies, MDPI, vol. 14(17), pages 1-21, September.
    14. Wiegner, J.F. & Andreasson, L.M. & Kusters, J.E.H. & Nienhuis, R.M., 2024. "Interdisciplinary perspectives on offshore energy system integration in the North Sea: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    15. Gao, Xianhui & Wang, Sheng & Sun, Ying & Zhai, Junyi & Chen, Nan & Zhang, Xiao-Ping, 2024. "Low-carbon energy scheduling for integrated energy systems considering offshore wind power hydrogen production and dynamic hydrogen doping strategy," Applied Energy, Elsevier, vol. 376(PA).
    16. Yang, Yi & Qin, Huan, 2024. "The uncertainties of the carbon peak and the temporal and regional heterogeneity of its driving factors in China," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    17. Qiong Chen & Hongyu Zhang & Yui-Yip Lau & Tianni Wang & Wen Wang & Guangsheng Zhang, 2023. "Climate Change, Carbon Peaks, and Carbon Neutralization: A Bibliometric Study from 2006 to 2023," Sustainability, MDPI, vol. 15(7), pages 1-12, March.
    18. Ingeborg Treu Røe & Pauline Oeuvray & Marco Mazzotti & Simon Roussanaly, 2024. "Comparative Assessments of At-Sea and Inland Low- and Medium-Pressure CO 2 Transport," Energies, MDPI, vol. 17(23), pages 1-21, December.
    19. Zhang, Lixiao & Yang, Min & Zhang, Pengpeng & Hao, Yan & Lu, Zhongming & Shi, Zhimin, 2021. "De-coal process in urban China: What can we learn from Beijing's experience?," Energy, Elsevier, vol. 230(C).
    20. Zheng, Li & Yuan, Ling & Khan, Zeeshan & Badeeb, Ramez Abubakr & Zhang, Leilei, 2023. "How G-7 countries are paving the way for net-zero emissions through energy efficient ecosystem?," Energy Economics, Elsevier, vol. 117(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:appene:v:326:y:2022:i:c:s0306261922012478. 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.