IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i11p2883-d367556.html
   My bibliography  Save this article

Improved Solubility Model for Pure Gas and Binary Mixture of CO 2 -H 2 S in Water: A Geothermal Case Study with Total Reinjection

Author

Listed:
  • Pouriya H. Niknam

    (Department of Industrial Engineering, Università degli Studi di Firenze, Viale Morgagni 40, 50135 Florence, Italy)

  • Lorenzo Talluri

    (Department of Industrial Engineering, Università degli Studi di Firenze, Viale Morgagni 40, 50135 Florence, Italy)

  • Daniele Fiaschi

    (Department of Industrial Engineering, Università degli Studi di Firenze, Viale Morgagni 40, 50135 Florence, Italy)

  • Giampaolo Manfrida

    (Department of Industrial Engineering, Università degli Studi di Firenze, Viale Morgagni 40, 50135 Florence, Italy)

Abstract

Geothermal energy is acknowledged globally as a renewable resource, which, unlike solar, wind or wave energy, can be continuously exploited. The geothermal fluids usually have some acid gas content, which needs to be precisely taken into account when predicting the actual potential of a power plant in dealing with an effective reinjection. One of the key parameters to assess is the solubility of the acid gas, as it influences the thermodynamic conditions (saturation pressure and temperature) of the fluid. Therefore, an enhanced solubility model for the CO 2 -H 2 S-water system is developed in this study, based on the mutual solubility of gases. The model covers a wide range of pressures and temperatures. The genetic algorithm is employed to calculate the correlation constants and corresponding solubility values of both CO 2 and H 2 S as functions of pressure, temperature and the balance of the gas. The results are validated against previously published models and experimental data available in the literature. The proposed model estimates the pure gas solubility, which is also a feature of other models. The more innovative feature of the model is the solubility estimation of each CO 2 or H 2 S in simultaneous presence, such as when the binary gas is injected into the pure water of the geothermal reinjection well. The proposed solubility model fits well with the available experimental data, with a mean deviation lower than 0.2%.

Suggested Citation

  • Pouriya H. Niknam & Lorenzo Talluri & Daniele Fiaschi & Giampaolo Manfrida, 2020. "Improved Solubility Model for Pure Gas and Binary Mixture of CO 2 -H 2 S in Water: A Geothermal Case Study with Total Reinjection," Energies, MDPI, vol. 13(11), pages 1-14, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:2883-:d:367556
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/11/2883/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/11/2883/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rivera Diaz, Alexandre & Kaya, Eylem & Zarrouk, Sadiq J., 2016. "Reinjection in geothermal fields − A worldwide review update," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 105-162.
    2. Shafaei, Mohammad Javad & Abedi, Jalal & Hassanzadeh, Hassan & Chen, Zhangxin, 2012. "Reverse gas-lift technology for CO2 storage into deep saline aquifers," Energy, Elsevier, vol. 45(1), pages 840-849.
    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. Zhen Zhao & Guangxiong Qin & Yinfei Luo & Songhe Geng & Linchao Yang & Ronghua Wen & Jiahao Chao & Liang Zhang, 2021. "Experimental Study on Reservoir Physical Properties and Formation Blockage Risk in Geothermal Water Reinjection in Xining Basin: Taking Well DR2018 as an Example," Energies, MDPI, vol. 14(9), pages 1-19, May.
    2. Moein Shamoushaki & Pouriya H. Niknam & Lorenzo Talluri & Giampaolo Manfrida & Daniele Fiaschi, 2021. "Development of Cost Correlations for the Economic Assessment of Power Plant Equipment," Energies, MDPI, vol. 14(9), pages 1-19, May.
    3. Moein Shamoushaki & Giampaolo Manfrida & Lorenzo Talluri & Pouriya H. Niknam & Daniele Fiaschi, 2021. "Different Geothermal Power Cycle Configurations Cost Estimation Models," Sustainability, MDPI, vol. 13(20), pages 1-19, October.
    4. Ruben Zieba Falama & Felix Ngangoum Welaji & Abdouramani Dadjé & Virgil Dumbrava & Noël Djongyang & Chokri Ben Salah & Serge Yamigno Doka, 2021. "A Solution to the Problem of Electrical Load Shedding Using Hybrid PV/Battery/Grid-Connected System: The Case of Households’ Energy Supply of the Northern Part of Cameroon," Energies, MDPI, vol. 14(10), pages 1-23, May.
    5. Niknam, Pouriya H. & Talluri, Lorenzo & Fiaschi, Daniele & Manfrida, Giampaolo, 2021. "Sensitivity analysis and dynamic modelling of the reinjection process in a binary cycle geothermal power plant of Larderello area," Energy, Elsevier, vol. 214(C).

    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. Mohammadzadeh Bina, Saeid & Jalilinasrabady, Saeid & Fujii, Hikari & Pambudi, Nugroho Agung, 2018. "Classification of geothermal resources in Indonesia by applying exergy concept," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 499-506.
    2. Melikoglu, Mehmet, 2017. "Geothermal energy in Turkey and around the World: A review of the literature and an analysis based on Turkey's Vision 2023 energy targets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 485-492.
    3. Mahmoodpour, Saeed & Singh, Mrityunjay & Turan, Aysegul & Bär, Kristian & Sass, Ingo, 2022. "Simulations and global sensitivity analysis of the thermo-hydraulic-mechanical processes in a fractured geothermal reservoir," Energy, Elsevier, vol. 247(C).
    4. Quinao, Jaime Jose D. & Zarrouk, Sadiq J., 2018. "Geothermal resource assessment using Experimental Design and Response Surface Methods: The Ngatamariki geothermal field, New Zealand," Renewable Energy, Elsevier, vol. 116(PA), pages 324-334.
    5. Niknam, Pouriya H. & Talluri, Lorenzo & Fiaschi, Daniele & Manfrida, Giampaolo, 2021. "Sensitivity analysis and dynamic modelling of the reinjection process in a binary cycle geothermal power plant of Larderello area," Energy, Elsevier, vol. 214(C).
    6. Kaya, Eylem & Callos, Victor & Mannington, Warren, 2018. "CO2 –water mixture reinjection into two-phase liquid dominated geothermal reservoirs," Renewable Energy, Elsevier, vol. 126(C), pages 652-667.
    7. Jinlong, Li & Wenjie, Xu & Jianjing, Zheng & Wei, Liu & Xilin, Shi & Chunhe, Yang, 2020. "Modeling the mining of energy storage salt caverns using a structural dynamic mesh," Energy, Elsevier, vol. 193(C).
    8. Ciriaco, Anthony E. & Zarrouk, Sadiq J. & Zakeri, Golbon, 2020. "Geothermal resource and reserve assessment methodology: Overview, analysis and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    9. Zhao, Zhihong & Dou, Zihao & Liu, Guihong & Chen, Sicong & Tan, Xianfeng, 2021. "Equivalent flow channel model for doublets in heterogeneous porous geothermal reservoirs," Renewable Energy, Elsevier, vol. 172(C), pages 100-111.
    10. Pan, Shu-Yuan & Gao, Mengyao & Shah, Kinjal J. & Zheng, Jianming & Pei, Si-Lu & Chiang, Pen-Chi, 2019. "Establishment of enhanced geothermal energy utilization plans: Barriers and strategies," Renewable Energy, Elsevier, vol. 132(C), pages 19-32.
    11. Duggal, R. & Rayudu, R. & Hinkley, J. & Burnell, J. & Wieland, C. & Keim, M., 2022. "A comprehensive review of energy extraction from low-temperature geothermal resources in hydrocarbon fields," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    12. Liu, Guihong & Pu, Hai & Zhao, Zhihong & Liu, Yanguang, 2019. "Coupled thermo-hydro-mechanical modeling on well pairs in heterogeneous porous geothermal reservoirs," Energy, Elsevier, vol. 171(C), pages 631-653.
    13. Cao, Federico & Eskin, Dmitry & Leonenko, Yuri, 2021. "Modeling of carbon dioxide dissolution in an injection well for geologic sequestration in aquifers," Energy, Elsevier, vol. 221(C).
    14. Minh-Tai Le & Nhat-Luong Nhieu & Thuy-Duong Thi Pham, 2022. "Direct-Use Geothermal Energy Location Multi-Criteria Planning for On-Site Energy Security in Emergencies: A Case Study of Malaysia," Sustainability, MDPI, vol. 14(22), pages 1-21, November.

    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:13:y:2020:i:11:p:2883-:d:367556. 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.