IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v284y2023ics0360544223025793.html
   My bibliography  Save this article

An investigation of the density of nano-confined subcritical/supercritical water

Author

Listed:
  • Zhang, Bowei
  • Zhao, Xiao
  • Zhang, Jie
  • Wang, Junying
  • Jin, Hui

Abstract

In various applications such as supercritical water gasification, oil and gas production, and energy harvesting and storage, subcritical/supercritical water is often confined within material pores. Investigating the density and critical parameters of high-temperature and high-pressure water in confined spaces can help us better understand the behavior of water within the pore space. In this study, a topological model consisting of two baths and a carbon nanotube (CNT) is built to examine the effect of temperature (300 K & 600–1173 K), pressure (1 atm & 20–30 MPa), and tube diameter (9.49–50.17Å) on confined density, and used machine learning (ML) to develop a predictive application (APP). The ML model demonstrates excellent predictive performance, achieving an R2 of 0.9962 on the test set. Furthermore, the mean impact value (MIV) is used to evaluate the impact of independent variables on confined density, and find that temperature has the most significant effect. The results indicate that the critical temperature and pressure of water confined within different CNTs are not significantly different from those of bulk water, but the confined critical density is slightly lower than the bulk critical density.

Suggested Citation

  • Zhang, Bowei & Zhao, Xiao & Zhang, Jie & Wang, Junying & Jin, Hui, 2023. "An investigation of the density of nano-confined subcritical/supercritical water," Energy, Elsevier, vol. 284(C).
    • Handle: RePEc:eee:energy:v:284:y:2023:i:c:s0360544223025793
    DOI: 10.1016/j.energy.2023.129185
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223025793
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129185?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. Wang, Cui & Li, Linfeng & Chen, Yunan & Ge, Zhiwei & Jin, Hui, 2021. "Supercritical water gasification of wheat straw: Composition of reaction products and kinetic study," Energy, Elsevier, vol. 227(C).
    2. Kang, Zhiqin & Zhao, Yangsheng & Yang, Dong, 2020. "Review of oil shale in-situ conversion technology," Applied Energy, Elsevier, vol. 269(C).
    3. Zhang, Bowei & Guo, Simao & Jin, Hui, 2022. "Production forecast analysis of BP neural network based on Yimin lignite supercritical water gasification experiment results," Energy, Elsevier, vol. 246(C).
    4. Bai, Bin & Liu, Yigang & Wang, Qiuxia & Zou, Jian & Zhang, Hua & Jin, Hui & Li, Xianwen, 2019. "Experimental investigation on gasification characteristics of plastic wastes in supercritical water," Renewable Energy, Elsevier, vol. 135(C), pages 32-40.
    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. Huang, Jijiang & Veksha, Andrei & Chan, Wei Ping & Giannis, Apostolos & Lisak, Grzegorz, 2022. "Chemical recycling of plastic waste for sustainable material management: A prospective review on catalysts and processes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    2. Sergei Sabanov & Abdullah Rasheed Qureshi & Zhaudir Dauitbay & Gulim Kurmangazy, 2023. "A Method for the Modified Estimation of Oil Shale Mineable Reserves for Shale Oil Projects: A Case Study," Energies, MDPI, vol. 16(16), pages 1-17, August.
    3. Dazhong Ren & Zhendong Wang & Fu Yang & Hao Zeng & Chenyuan Lü & Han Wang & Senhao Wang & Shaotao Xu, 2024. "Study on the Applicability of Autothermic Pyrolysis In Situ Conversion Process for Low-Grade Oil Shale: A Case Study of Tongchuan, Ordos Basin, China," Energies, MDPI, vol. 17(13), pages 1-21, June.
    4. Zhang, Shuo & Song, Shengyuan & Zhang, Wen & Zhao, Jinmin & Cao, Dongfang & Ma, Wenliang & Chen, Zijian & Hu, Ying, 2023. "Research on the inherent mechanism of rock mass deformation of oil shale in-situ mining under the condition of thermal-fluid-solid coupling," Energy, Elsevier, vol. 280(C).
    5. Xu, Jialing & Rong, Siqi & Sun, Jingli & Peng, Zhiyong & Jin, Hui & Guo, Liejin & Zhang, Xiang & Zhou, Teng, 2022. "Optimal design of non-isothermal supercritical water gasification reactor: From biomass to hydrogen," Energy, Elsevier, vol. 244(PB).
    6. Yiwei Wang & Yuan Wang & Sunhua Deng & Qiang Li & Jingjing Gu & Haoche Shui & Wei Guo, 2022. "Numerical Simulation Analysis of Heating Effect of Downhole Methane Catalytic Combustion Heater under High Pressure," Energies, MDPI, vol. 15(3), pages 1-23, February.
    7. Wang, Lei & Yang, Dong & Zhang, Yuxing & Li, Wenqing & Kang, Zhiqin & Zhao, Yangsheng, 2022. "Research on the reaction mechanism and modification distance of oil shale during high-temperature water vapor pyrolysis," Energy, Elsevier, vol. 261(PB).
    8. Zhang, Hao & Tong, Xiangqian & Yin, Jun & Blaabjerg, Frede, 2023. "Neural network-aided 4-DF global efficiency optimal control for the DAB converter based on the comprehensive loss model," Energy, Elsevier, vol. 262(PA).
    9. Pan, Bin & Yin, Xia & Yang, Zhengru & Ghanizadeh, Amin & Debuhr, Chris & Clarkson, Christopher R. & Gou, Feifei & Zhu, Weiyao & Ju, Yang & Iglauer, Stefan, 2024. "Real-time imaging of oil shale pyrolysis dynamics at nanoscale via environmental scanning electron microscopy," Applied Energy, Elsevier, vol. 363(C).
    10. Kang, Zhiqin & Jiang, Xing & Wang, Lei & Yang, Dong & Ma, Yulin & Zhao, Yangsheng, 2023. "Comparative investigation of in situ hydraulic fracturing and high-temperature steam fracturing tests for meter-scale oil shale," Energy, Elsevier, vol. 281(C).
    11. Niu, Daming & Sun, Pingchang & Ma, Lin & Zhao, Kang'an & Ding, Cong, 2023. "Porosity evolution of Minhe oil shale under an open rapid heating system and the carbon storage potentials," Renewable Energy, Elsevier, vol. 205(C), pages 783-799.
    12. Lihong Yang & Zhao Liu & Hao Zeng & Jianzheng Su & Yiwei Wang & Xudong Chen & Wei Guo, 2021. "Influence of Gas Flooding Pressure on Groundwater Flow during Oil Shale In Situ Exploitation," Energies, MDPI, vol. 14(24), pages 1-12, December.
    13. Xue, Xiaodong & Han, Wei & Xin, Yu & Liu, Changchun & Jin, Hongguang & Wang, Xiaodong, 2023. "Proposal and energetic and exergetic evaluation of a hydrogen production system with synergistic conversion of coal and solar energy," Energy, Elsevier, vol. 283(C).
    14. Youhong Sun & Shichang Liu & Qiang Li & Xiaoshu Lü, 2022. "Experimental Study on the Factors of the Oil Shale Thermal Breakdown in High-Voltage Power Frequency Electric Heating Technology," Energies, MDPI, vol. 15(19), pages 1-12, September.
    15. Lianhua Hou & Zhongying Zhao & Xia Luo & Jingkui Mi & Zhenglian Pang & Lijun Zhang & Senhu Lin, 2024. "Evaluation of Recoverable Hydrocarbon Reserves and Area Selection Methods for In Situ Conversion of Shale," Energies, MDPI, vol. 17(11), pages 1-24, June.
    16. Shangli Liu & Haifeng Gai & Peng Cheng, 2023. "Technical Scheme and Application Prospects of Oil Shale In Situ Conversion: A Review of Current Status," Energies, MDPI, vol. 16(11), pages 1-22, May.
    17. Su, Hongcai & Yan, Mi & Wang, Shurong, 2022. "Recent advances in supercritical water gasification of biowaste catalyzed by transition metal-based catalysts for hydrogen production," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    18. Wang, Guoying & Liu, Shaowei & Yang, Dong & Fu, Mengxiong, 2022. "Numerical study on the in-situ pyrolysis process of steeply dipping oil shale deposits by injecting superheated water steam: A case study on Jimsar oil shale in Xinjiang, China," Energy, Elsevier, vol. 239(PC).
    19. Kang, Shijie & Sun, Youhong & Qiao, Mingyang & Li, Shengli & Deng, Sunhua & Guo, Wei & Li, Jiasheng & He, Wentong, 2022. "The enhancement on oil shale extraction of FeCl3 catalyst in subcritical water," Energy, Elsevier, vol. 238(PA).
    20. Shi, Yu & Zhang, Yulong & Song, Xianzhi & Cui, Qiliang & Lei, Zhihong & Song, Guofeng, 2023. "Injection energy utilization efficiency and production performance of oil shale in-situ exploitation," Energy, Elsevier, vol. 263(PB).

    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:284:y:2023:i:c:s0360544223025793. 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.