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Sensitivity analysis and dynamic modelling of the reinjection process in a binary cycle geothermal power plant of Larderello area

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  • Niknam, Pouriya H.
  • Talluri, Lorenzo
  • Fiaschi, Daniele
  • Manfrida, Giampaolo

Abstract

The surface equipment design for a binary cycle geothermal power plant including facilities required for the power cycle and the complete reinjection process of two-phase geothermal fluid (H2O + non-condensable gases (NCGs)) in the Castelnuovo area of Larderello are modelled. The proposed scheme includes the configuration of closed-loop power plant, NCGs compression train and reinjection process at the wellhead. Steady-state and dynamic simulations are performed. The steady-state model is developed to find the correct operating solutions and conditions, while the dynamic model investigates the unsteady behaviour of the system. The study includes a sensitivity analysis of surface equipment design, demonstrating the effect of internal and external variables on the system performance, including power cycle, compression train and reinjection process. The maximum compressor power consumption (at 60 bar reinjection pressure) is 176 kW at 8% CO2 mass fraction into the geothermal fluid. The unsteady system behaviour at startup and its response to step-changes of flow stream condition is assessed: it is found that the average response-time is about 20 min. Also, the system requires a drain pressure higher than the saturation level for effective reinjection. A new Antoine – based correlation for water-CO2 mixture is proposed for geothermal applications.

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  • 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).
  • Handle: RePEc:eee:energy:v:214:y:2021:i:c:s0360544220319769
    DOI: 10.1016/j.energy.2020.118869
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Bo Feng & Hao Ren & Yabin Yang & Zhenpeng Cui & Jichu Zhao, 2023. "Comparative Analysis of Heating Efficiency of a Single-Well Geothermal System in the Cold Region of Northeast China," Energies, MDPI, vol. 16(4), pages 1-16, February.
    2. Xin-Yue Duan & Di Huang & Wen-Xian Lei & Shi-Chao Chen & Zhao-Qin Huang & Chuan-Yong Zhu, 2023. "Investigation of Heat Extraction in an Enhanced Geothermal System Embedded with Fracture Networks Using the Thermal–Hydraulic–Mechanical Coupling Model," Energies, MDPI, vol. 16(9), pages 1-19, April.
    3. Vaccari, Marco & Pannocchia, Gabriele & Tognotti, Leonardo & Paci, Marco, 2023. "Rigorous simulation of geothermal power plants to evaluate environmental performance of alternative configurations," Renewable Energy, Elsevier, vol. 207(C), pages 471-483.
    4. Mauro Tagliaferri & Paweł Gładysz & Pietro Ungar & Magdalena Strojny & Lorenzo Talluri & Daniele Fiaschi & Giampaolo Manfrida & Trond Andresen & Anna Sowiżdżał, 2022. "Techno-Economic Assessment of the Supercritical Carbon Dioxide Enhanced Geothermal Systems," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    5. 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.
    6. Haijiang Zou & Siyu Guo & Ruifeng Wang & Fenghao Wang & Zhenxing Shen & Wanlong Cai, 2023. "Numerical Investigation of the Long-Term Load Shifting Behaviors within the Borehole Heat Exchanger Array System," Energies, MDPI, vol. 16(5), pages 1-19, March.
    7. Mahmoud, Montaser & Alkhedher, Mohammad & Ramadan, Mohamad & Naher, Sumsun & Pullen, Keith, 2022. "An investigation on organic Rankine cycle incorporating a ground-cooled condenser: Working fluid selection and regeneration," Energy, Elsevier, vol. 249(C).

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