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Thermodynamic performance evaluation of a geothermal ORC power plant

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  • Altun, A.F.
  • Kilic, M.

Abstract

This work presents a thermodynamic evaluation of an operating geothermal ORC power plant. The model is realized by using measured data of AFJET geothermal power plant which has 3MWe net power output capacity. Thermodynamic assessment of the system is conducted to see the energy and exergy efficiencies of each component, and the whole plant. Additionally, a parametric study is conducted to understand the effects of various operating conditions on the system performance. Different from previous studies, daily and annual net power output profile of the plant was investigated with considering ambient temperature fluctuations. Results revealed that net power output can drop as significant as 36% from winter to summer months. Also, between nighttime to daytime, the net power expectation may decrease by 5%. The exergy destruction rate of re-injection process constitutes the most significant part (38.1%) of the total exergy destruction of the plant. The conversion and exergy efficiencies of the system are calculated as 11.24% and 39.03%, respectively. Also, to enhance the performance of the plant, an internal heat recovery system is recommended. The analyses show that the implementation of an internal heat recovery system improves the energy and exergy efficiencies of the plant by 15%.

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  • Altun, A.F. & Kilic, M., 2020. "Thermodynamic performance evaluation of a geothermal ORC power plant," Renewable Energy, Elsevier, vol. 148(C), pages 261-274.
    • Handle: RePEc:eee:renene:v:148:y:2020:i:c:p:261-274
    DOI: 10.1016/j.renene.2019.12.034
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    17. Michał Kaczmarczyk & Barbara Tomaszewska & Agnieszka Operacz, 2020. "Sustainable Utilization of Low Enthalpy Geothermal Resources to Electricity Generation through a Cascade System," Energies, MDPI, vol. 13(10), pages 1-18, May.
    18. Tian, Zhen & Gan, Wanlong & Zou, Xianzhi & Zhang, Yuan & Gao, Wenzhong, 2022. "Performance prediction of a cryogenic organic Rankine cycle based on back propagation neural network optimized by genetic algorithm," Energy, Elsevier, vol. 254(PB).
    19. Paul Njock, Julbin & Thierry Sosso, Olivier & Stouffs, Pascal & Nzengwa, Robert, 2022. "A comparative energy analysis of idealized cycles using an ammonia-water mixture for combined power/cooling," Energy, Elsevier, vol. 261(PA).
    20. Calise, Francesco & Cappiello, Francesco L. & Dentice d'Accadia, Massimo & Vicidomini, Maria, 2021. "Thermo-economic optimization of a novel hybrid renewable trigeneration plant," Renewable Energy, Elsevier, vol. 175(C), pages 532-549.
    21. Schifflechner, Christopher & Dawo, Fabian & Eyerer, Sebastian & Wieland, Christoph & Spliethoff, Hartmut, 2020. "Thermodynamic comparison of direct supercritical CO2 and indirect brine-ORC concepts for geothermal combined heat and power generation," Renewable Energy, Elsevier, vol. 161(C), pages 1292-1302.
    22. Ghorbani, Sobhan & Deymi-Dashtebayaz, Mahdi & Dadpour, Daryoush & Delpisheh, Mostafa, 2023. "Parametric study and optimization of a novel geothermal-driven combined cooling, heating, and power (CCHP) system," Energy, Elsevier, vol. 263(PF).
    23. Zhang, Feng & Lei, Fang & Liao, Gaoliang & Jiaqiang, E., 2022. "Performance assessment and optimization on a novel geothermal combined cooling and power system integrating an absorption power cycle with an absorption-compression hybrid refrigeration cycle in paral," Renewable Energy, Elsevier, vol. 201(P1), pages 1061-1075.
    24. Xu, Da & Yuan, Zhe-Li & Bai, Ziyi & Wu, Zhibin & Chen, Shuangyin & Zhou, Ming, 2022. "Optimal operation of geothermal-solar-wind renewables for community multi-energy supplies," Energy, Elsevier, vol. 249(C).
    25. Chen, Heng & Wang, Yihan & Li, Jiarui & Xu, Gang & Lei, Jing & Liu, Tong, 2022. "Thermodynamic analysis and economic assessment of an improved geothermal power system integrated with a biomass-fired cogeneration plant," Energy, Elsevier, vol. 240(C).

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