IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v64y2014icp307-322.html
   My bibliography  Save this article

Numerical investigation of fluid flow and heat transfer in a doublet enhanced geothermal system with CO2 as the working fluid (CO2–EGS)

Author

Listed:
  • Luo, Feng
  • Xu, Rui-Na
  • Jiang, Pei-Xue

Abstract

Enhanced geothermal system with CO2 instead of water as the working fluid (CO2–EGS ) has attracted much interest due to the additional benefit of CO2 geological storage during the power generation process. This paper describes numerical analyses of a doublet CO2–EGS system, focusing on the influence of the CO2 injection rate, the permeability of induced fractures near the wellbores, the injection/production well perforation placement, the working fluid, and the heat transfer between the wellbores and the surrounding reservoir. The larger permeability in the induced fractures around the wellbores allows the fluid to more easily flow through the reservoir up to a critical fracture permeability, with further increases of the fracture permeability further reducing the pressure loss a little but the cost is not worth the added benefit. Induced fractures around the wellbores result in little difference among different wellbores perforation locations in the reservoir. Increased CO2 injection rates reduce the heat transfer between the wellbores and the surrounding reservoir so that this heat transfer can be neglected at large mass flow rates. With CO2 as the working fluid, the CO2 temperature decreases significantly going up the production well. This paper presents some important implications for CO2–EGS system for further numerical studies as well as for practical projects.

Suggested Citation

  • Luo, Feng & Xu, Rui-Na & Jiang, Pei-Xue, 2014. "Numerical investigation of fluid flow and heat transfer in a doublet enhanced geothermal system with CO2 as the working fluid (CO2–EGS)," Energy, Elsevier, vol. 64(C), pages 307-322.
    • Handle: RePEc:eee:energy:v:64:y:2014:i:c:p:307-322
    DOI: 10.1016/j.energy.2013.10.048
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544213009006
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2013.10.048?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. Fuss, Sabine & Szolgayova, Jana & Obersteiner, Michael & Gusti, Mykola, 2008. "Investment under market and climate policy uncertainty," Applied Energy, Elsevier, vol. 85(8), pages 708-721, August.
    2. Luo, Feng & Xu, Rui-Na & Jiang, Pei-Xue, 2013. "Numerical investigation of the influence of vertical permeability heterogeneity in stratified formation and of injection/production well perforation placement on CO2 geological storage with enhanced C," Applied Energy, Elsevier, vol. 102(C), pages 1314-1323.
    3. Stephens, Jennie C. & Jiusto, Scott, 2010. "Assessing innovation in emerging energy technologies: Socio-technical dynamics of carbon capture and storage (CCS) and enhanced geothermal systems (EGS) in the USA," Energy Policy, Elsevier, vol. 38(4), pages 2020-2031, April.
    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. Luo, Feng & Xu, Rui-Na & Jiang, Pei-Xue, 2013. "Numerical investigation of the influence of vertical permeability heterogeneity in stratified formation and of injection/production well perforation placement on CO2 geological storage with enhanced C," Applied Energy, Elsevier, vol. 102(C), pages 1314-1323.
    2. Kim, Youngmin & Jang, Hochang & Kim, Junggyun & Lee, Jeonghwan, 2017. "Prediction of storage efficiency on CO2 sequestration in deep saline aquifers using artificial neural network," Applied Energy, Elsevier, vol. 185(P1), pages 916-928.
    3. Setiawan, Andri D. & Cuppen, Eefje, 2013. "Stakeholder perspectives on carbon capture and storage in Indonesia," Energy Policy, Elsevier, vol. 61(C), pages 1188-1199.
    4. Mo, Jian-Lei & Schleich, Joachim & Zhu, Lei & Fan, Ying, 2015. "Delaying the introduction of emissions trading systems—Implications for power plant investment and operation from a multi-stage decision model," Energy Economics, Elsevier, vol. 52(PB), pages 255-264.
    5. Schachter, Jonathan A. & Mancarella, Pierluigi & Moriarty, John & Shaw, Rita, 2016. "Flexible investment under uncertainty in smart distribution networks with demand side response: Assessment framework and practical implementation," Energy Policy, Elsevier, vol. 97(C), pages 439-449.
    6. Linnerud, Kristin & Andersson, Ane Marte & Fleten, Stein-Erik, 2014. "Investment timing under uncertain renewable energy policy: An empirical study of small hydropower projects," Energy, Elsevier, vol. 78(C), pages 154-164.
    7. Jakub Sawulski & Marcin Galczynski & Robert Zajdler, 2018. "A review of the offshore wind innovation system in Poland," IBS Working Papers 06/2018, Instytut Badan Strukturalnych.
    8. Mo, Jian-Lei & Agnolucci, Paolo & Jiang, Mao-Rong & Fan, Ying, 2016. "The impact of Chinese carbon emission trading scheme (ETS) on low carbon energy (LCE) investment," Energy Policy, Elsevier, vol. 89(C), pages 271-283.
    9. Brauneis, Alexander & Mestel, Roland & Palan, Stefan, 2013. "Inducing low-carbon investment in the electric power industry through a price floor for emissions trading," Energy Policy, Elsevier, vol. 53(C), pages 190-204.
    10. Zhang, M.M. & Wang, Qunwei & Zhou, Dequn & Ding, H., 2019. "Evaluating uncertain investment decisions in low-carbon transition toward renewable energy," Applied Energy, Elsevier, vol. 240(C), pages 1049-1060.
    11. Walsh, D.M. & O'Sullivan, K. & Lee, W.T. & Devine, M.T., 2014. "When to invest in carbon capture and storage technology: A mathematical model," Energy Economics, Elsevier, vol. 42(C), pages 219-225.
    12. Zhang, Dongjie & Liu, Pei & Ma, Linwei & LI, Zheng, 2013. "A multi-period optimization model for planning of China's power sector with consideration of carbon dioxide mitigation—The importance of continuous and stable carbon mitigation policy," Energy Policy, Elsevier, vol. 58(C), pages 319-328.
    13. Zeng, Yuchao & Tang, Liansheng & Wu, Nengyou & Cao, Yifei, 2017. "Analysis of influencing factors of production performance of enhanced geothermal system: A case study at Yangbajing geothermal field," Energy, Elsevier, vol. 127(C), pages 218-235.
    14. Zhang, M.M. & Zhou, D.Q. & Zhou, P. & Chen, H.T., 2017. "Optimal design of subsidy to stimulate renewable energy investments: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 873-883.
    15. Chen, Yanhua & Sharma, Aarzoo, 2024. "How much does climate-related risk impact stock and commodity markets: A comparative study of the US and China," Finance Research Letters, Elsevier, vol. 62(PA).
    16. Cao, M.F. & Huang, G.H. & Lin, Q.G., 2010. "Integer programming with random-boundary intervals for planning municipal power systems," Applied Energy, Elsevier, vol. 87(8), pages 2506-2516, August.
    17. Campiglio, Emanuele & Lamperti, Francesco & Terranova, Roberta, 2024. "Believe me when I say green! Heterogeneous expectations and climate policy uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 165(C).
    18. Shabir Mohsin Hashmi & Xuyou Yu & Qasim Raza Syed & Li Rong, 2024. "Testing the environmental Kuznets curve (EKC) hypothesis amidst climate policy uncertainty: sectoral analysis using the novel Fourier ARDL approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 16503-16522, July.
    19. Munoz, Francisco D. & van der Weijde, Adriaan Hendrik & Hobbs, Benjamin F. & Watson, Jean-Paul, 2017. "Does risk aversion affect transmission and generation planning? A Western North America case study," Energy Economics, Elsevier, vol. 64(C), pages 213-225.
    20. van Os, Herman W.A. & Herber, Rien & Scholtens, Bert, 2014. "Not Under Our Back Yards? A case study of social acceptance of the Northern Netherlands CCS initiative," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 923-942.

    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:64:y:2014:i:c:p:307-322. 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.