IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v245y2022ics0360544222001621.html
   My bibliography  Save this article

Performance analysis and working fluid selection of an Organic Rankine Cycle Power Plant coupled to an Enhanced Geothermal System

Author

Listed:
  • Zinsalo, Joël M.
  • Lamarche, Louis
  • Raymond, Jasmin

Abstract

This paper presents a coupled Wellbore-Reservoir-Organic Rankine Cycle (ORC) power plant model for sustainable and efficient use of multiple-fractures Enhanced Geothermal System with simulations conducted over 40 years of operation time. A multi-objective optimization of the ORC under off-design conditions was conducted using constrained NSGA-II technique considering specific investment cost, energy and exergy efficiencies as objective functions. Twenty working fluids were considered to select the best one based on the turbine inlet superheated vapor condition, the lowest specific investment cost, the best energy and exergy efficiencies. Optimal operations conditions were determined for each working fluid considering turbine inlet temperature, turbine inlet pressure, condenser temperature, refrigerant mass flow rate, and length, tubes number, inner diameter and outer diameter of evaporator and condenser, isentropic turbine efficiency, isentropic pump efficiency as decision variables. The results show that the working fluids have a significant effect on the reinjection geofluid temperature and slight effect on the production temperature. The best performing working fluid was R1233zd(E) providing an energy efficiency of 19.2–19.32% and the exergy efficiency found is between 56.4% and 58.44% over the 40 years of production in off-design conditions and optimal operation conditions. The energy efficiency and the exergy efficiency decrease with increasing condenser temperature.

Suggested Citation

  • Zinsalo, Joël M. & Lamarche, Louis & Raymond, Jasmin, 2022. "Performance analysis and working fluid selection of an Organic Rankine Cycle Power Plant coupled to an Enhanced Geothermal System," Energy, Elsevier, vol. 245(C).
  • Handle: RePEc:eee:energy:v:245:y:2022:i:c:s0360544222001621
    DOI: 10.1016/j.energy.2022.123259
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222001621
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2022.123259?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. Jiang, Fangming & Chen, Jiliang & Huang, Wenbo & Luo, Liang, 2014. "A three-dimensional transient model for EGS subsurface thermo-hydraulic process," Energy, Elsevier, vol. 72(C), pages 300-310.
    2. Van Erdeweghe, Sarah & Van Bael, Johan & Laenen, Ben & D’haeseleer, William, 2019. "Design and off-design optimization procedure for low-temperature geothermal organic Rankine cycles," Applied Energy, Elsevier, vol. 242(C), pages 716-731.
    3. Shi, Yu & Song, Xianzhi & Shen, Zhonghou & Wang, Gaosheng & Li, Xiaojiang & Zheng, Rui & Geng, Lidong & Li, Jiacheng & Zhang, Shikun, 2018. "Numerical investigation on heat extraction performance of a CO2 enhanced geothermal system with multilateral wells," Energy, Elsevier, vol. 163(C), pages 38-51.
    4. Cheng, Wen-Long & Wang, Chang-Long & Nian, Yong-Le & Han, Bing-Bing & Liu, Jian, 2016. "Analysis of influencing factors of heat extraction from enhanced geothermal systems considering water losses," Energy, Elsevier, vol. 115(P1), pages 274-288.
    5. Liu, Qiang & Duan, Yuanyuan & Yang, Zhen, 2013. "Performance analyses of geothermal organic Rankine cycles with selected hydrocarbon working fluids," Energy, Elsevier, vol. 63(C), pages 123-132.
    6. Zeng, Yu-Chao & Su, Zheng & Wu, Neng-You, 2013. "Numerical simulation of heat production potential from hot dry rock by water circulating through two horizontal wells at Desert Peak geothermal field," Energy, Elsevier, vol. 56(C), pages 92-107.
    7. Hu, Dongshuai & Zheng, Ya & Wu, Yi & Li, Saili & Dai, Yiping, 2015. "Off-design performance comparison of an organic Rankine cycle under different control strategies," Applied Energy, Elsevier, vol. 156(C), pages 268-279.
    8. Rayegan, R. & Tao, Y.X., 2011. "A procedure to select working fluids for Solar Organic Rankine Cycles (ORCs)," Renewable Energy, Elsevier, vol. 36(2), pages 659-670.
    9. Liu, Bo-Tau & Chien, Kuo-Hsiang & Wang, Chi-Chuan, 2004. "Effect of working fluids on organic Rankine cycle for waste heat recovery," Energy, Elsevier, vol. 29(8), pages 1207-1217.
    10. Anderson, Austin & Rezaie, Behnaz, 2019. "Geothermal technology: Trends and potential role in a sustainable future," Applied Energy, Elsevier, vol. 248(C), pages 18-34.
    11. Serafino, Aldo & Obert, Benoit & Vergé, Léa & Cinnella, Paola, 2020. "Robust optimization of an organic Rankine cycle for geothermal application," Renewable Energy, Elsevier, vol. 161(C), pages 1120-1129.
    12. Yao, Sheng & Zhang, Yufeng & Yu, Xiaohui, 2018. "Thermo-economic analysis of a novel power generation system integrating a natural gas expansion plant with a geothermal ORC in Tianjin, China," Energy, Elsevier, vol. 164(C), pages 602-614.
    13. Li, Mengying & Lior, Noam, 2015. "Energy analysis for guiding the design of well systems of deep Enhanced Geothermal Systems," Energy, Elsevier, vol. 93(P1), pages 1173-1188.
    14. Tieyu Gao & Changwei Liu, 2017. "Off-Design Performances of Subcritical and Supercritical Organic Rankine Cycles in Geothermal Power Systems under an Optimal Control Strategy," Energies, MDPI, vol. 10(8), pages 1-25, August.
    15. Shi, Yu & Song, Xianzhi & Wang, Gaosheng & McLennan, John & Forbes, Bryan & Li, Xiaojiang & Li, Jiacheng, 2019. "Study on wellbore fluid flow and heat transfer of a multilateral-well CO2 enhanced geothermal system," Applied Energy, Elsevier, vol. 249(C), pages 14-27.
    16. Li, Jian & Hu, Shuozhuo & Yang, Fubin & Duan, Yuanyuan & Yang, Zhen, 2019. "Thermo-economic performance evaluation of emerging liquid-separated condensation method in single-pressure and dual-pressure evaporation organic Rankine cycle systems," Applied Energy, Elsevier, vol. 256(C).
    17. Carlo Carcasci & Lapo Cheli & Pietro Lubello & Lorenzo Winchler, 2020. "Off-Design Performances of an Organic Rankine Cycle for Waste Heat Recovery from Gas Turbines," Energies, MDPI, vol. 13(5), pages 1-15, March.
    18. Hu, Shuozhuo & Li, Jian & Yang, Fubin & Yang, Zhen & Duan, Yuanyuan, 2020. "Multi-objective optimization of organic Rankine cycle using hydrofluorolefins (HFOs) based on different target preferences," Energy, Elsevier, vol. 203(C).
    19. Andreasen, J.G. & Larsen, U. & Knudsen, T. & Pierobon, L. & Haglind, F., 2014. "Selection and optimization of pure and mixed working fluids for low grade heat utilization using organic Rankine cycles," Energy, Elsevier, vol. 73(C), pages 204-213.
    20. Yang, Fubin & Zhang, Hongguang & Song, Songsong & Bei, Chen & Wang, Hongjin & Wang, Enhua, 2015. "Thermoeconomic multi-objective optimization of an organic Rankine cycle for exhaust waste heat recovery of a diesel engine," Energy, Elsevier, vol. 93(P2), pages 2208-2228.
    21. Moloney, Francesca & Almatrafi, Eydhah & Goswami, D.Y., 2020. "Working fluid parametric analysis for recuperative supercritical organic Rankine cycles for medium geothermal reservoir temperatures," Renewable Energy, Elsevier, vol. 147(P3), pages 2874-2881.
    22. Xu, Weicong & Zhao, Li & Mao, Samuel S. & Deng, Shuai, 2020. "Towards novel low temperature thermodynamic cycle: A critical review originated from organic Rankine cycle," Applied Energy, Elsevier, vol. 270(C).
    23. Sun, Zhi-xue & Zhang, Xu & Xu, Yi & Yao, Jun & Wang, Hao-xuan & Lv, Shuhuan & Sun, Zhi-lei & Huang, Yong & Cai, Ming-yu & Huang, Xiaoxue, 2017. "Numerical simulation of the heat extraction in EGS with thermal-hydraulic-mechanical coupling method based on discrete fractures model," Energy, Elsevier, vol. 120(C), pages 20-33.
    24. Song, Xianzhi & Shi, Yu & Li, Gensheng & Yang, Ruiyue & Wang, Gaosheng & Zheng, Rui & Li, Jiacheng & Lyu, Zehao, 2018. "Numerical simulation of heat extraction performance in enhanced geothermal system with multilateral wells," Applied Energy, Elsevier, vol. 218(C), pages 325-337.
    25. Chi Yao & Yulong Shao & Jianhua Yang, 2018. "Numerical Investigation on the Influence of Areal Flow on EGS Thermal Exploitation Based on the 3-D T-H Single Fracture Model," Energies, MDPI, vol. 11(11), pages 1-19, November.
    26. Chamorro, César R. & Mondéjar, María E. & Ramos, Roberto & Segovia, José J. & Martín, María C. & Villamañán, Miguel A., 2012. "World geothermal power production status: Energy, environmental and economic study of high enthalpy technologies," Energy, Elsevier, vol. 42(1), pages 10-18.
    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. Meng, Nan & Gao, Xiang & Wang, Zeyu & Li, Tailu, 2024. "Numerical investigation and optimization on dynamic power generation performance of enhanced geothermal system," Energy, Elsevier, vol. 288(C).
    2. Wang, Qinggang & Ming, Tingzhen & Chen, Qiong & Wu, Yongjia, 2024. "A novel TLFD-GA algorithm for multi-objectives optimization of ORC power plants with the effect of pressure drop considered," Energy, Elsevier, vol. 293(C).
    3. Ma, Qingfen & Gao, Zezhou & Huang, Jie & Mahian, Omid & Feng, Xin & Lu, Hui & Wang, Shenghui & Wang, Chengpeng & Tang, Rongnian & Li, Jingru, 2023. "Thermodynamic analysis and turbine design of a 100 kW OTEC-ORC with binary non-azeotropic working fluid," Energy, Elsevier, vol. 263(PE).
    4. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Yu, Mingzhe & Wang, Yan, 2023. "Investigation and multi-objective optimization of vehicle engine-organic Rankine cycle (ORC) combined system in different driving conditions," Energy, Elsevier, vol. 263(PB).
    5. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Zhang, Jian & Xing, Chengda & Yan, Yinlian & Yang, Anren & Wang, Yan, 2023. "Information theory-based dynamic feature capture and global multi-objective optimization approach for organic Rankine cycle (ORC) considering road environment," Applied Energy, Elsevier, vol. 348(C).
    6. Wang, Enhua & Mao, Jingwen & Zhang, Bo & Wang, Yongzhen, 2023. "On the CAMD method based on PC-SAFT for working fluid design of a high-temperature organic Rankine cycle," Energy, Elsevier, vol. 263(PD).
    7. Keyvan Bahlouli & Nasser Lotfi & Mazyar Ghadiri Nejad, 2023. "A New Multi-Heuristic Method to Optimize the Ammonia–Water Power/Cooling Cycle Combined with an HCCI Engine," Sustainability, MDPI, vol. 15(8), pages 1-14, April.
    8. Ping, Xu & Yang, Fubin & Zhang, Hongguang & Xing, Chengda & Yang, Anren & Yan, Yinlian & Pan, Yachao & Wang, Yan, 2023. "Ensemble of self-organizing adaptive maps and dynamic multi-objective optimization for organic Rankine cycle (ORC) under transportation and driving environment," Energy, Elsevier, vol. 275(C).
    9. Zhang, Xinxin & Li, Yang & Zhang, Yin & Zhang, Congtian, 2023. "A method used to comprehensively evaluate dry and isentropic organic working fluids based on temperature-entropy (T-s) diagram," Energy, Elsevier, vol. 263(PC).
    10. Mohammed Alghamdi & Ibrahim Al-Kharsan & Sana Shahab & Abdullah Albaker & Reza Alayi & Laveet Kumar & Mamdouh El Haj Assad, 2023. "Investigation of Energy and Exergy of Geothermal Organic Rankine Cycle," Energies, MDPI, vol. 16(5), pages 1-13, February.
    11. Daniarta, Sindu & Imre, Attila R. & Kolasiński, Piotr, 2022. "Thermodynamic efficiency of subcritical and transcritical power cycles utilizing selected ACZ working fluids," Energy, Elsevier, vol. 254(PA).
    12. Hu, Tao & Zhang, Jun & Su, Liangbin & Wang, Gang & Yu, Wan & Su, Huashan & Xiao, Renzheng, 2024. "Performance optimization and techno-economic analysis of a novel geothermal system," Energy, Elsevier, vol. 301(C).
    13. Xu Ping & Baofeng Yao & Hongguang Zhang & Hongzhi Zhang & Jia Liang & Meng Yuan & Kai Niu & Yan Wang, 2022. "Comprehensive Performance Assessment of Dual Loop Organic Rankine Cycle (DORC) for CNG Engine: Energy, Thermoeconomic and Environment," Energies, MDPI, vol. 15(21), pages 1-28, October.
    14. Yan Gao & Qianxi Song & Wen Su & Xinxing Lin & Zhi Sun & Zhisheng Huang & Yaping Gao, 2023. "Experimentally Identifying the Influences of Key Parameters for an Organic Rankine Cycle Using R123," Sustainability, MDPI, vol. 15(1), pages 1-14, January.
    15. Daniarta, Sindu & Imre, Attila R. & Kolasiński, Piotr, 2024. "Exploring performance map: theoretical analysis of subcritical and transcritical power cycles with wet and isentropic working fluids," Energy, Elsevier, vol. 299(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. Zhou, Luming & Zhu, Zhende & Xie, Xinghua & Hu, Yunjin, 2022. "Coupled thermal–hydraulic–mechanical model for an enhanced geothermal system and numerical analysis of its heat mining performance," Renewable Energy, Elsevier, vol. 181(C), pages 1440-1458.
    2. Li, Xinxin & Li, Chengyu & Gong, Wenping & Zhang, Yanjie & Wang, Junchao, 2023. "Probabilistic analysis of heat extraction performance in enhanced geothermal system based on a DFN-based modeling scheme," Energy, Elsevier, vol. 263(PC).
    3. Ma, Yuanyuan & Li, Shibin & Zhang, Ligang & Liu, Songze & Liu, Zhaoyi & Li, Hao & Shi, Erxiu & Zhang, Haijun, 2020. "Numerical simulation study on the heat extraction performance of multi-well injection enhanced geothermal system," Renewable Energy, Elsevier, vol. 151(C), pages 782-795.
    4. Song, Guofeng & Song, Xianzhi & Li, Gensheng & Shi, Yu & Wang, Gaosheng & Ji, Jiayan & Xu, Fuqiang & Song, Zihao, 2021. "An integrated multi-objective optimization method to improve the performance of multilateral-well geothermal system," Renewable Energy, Elsevier, vol. 172(C), pages 1233-1249.
    5. Zhang, Jie & Xie, Jingxuan, 2020. "Effect of reservoir’s permeability and porosity on the performance of cellular development model for enhanced geothermal system," Renewable Energy, Elsevier, vol. 148(C), pages 824-838.
    6. Hu, Xincheng & Banks, Jonathan & Guo, Yunting & Liu, Wei Victor, 2022. "Utilizing geothermal energy from enhanced geothermal systems as a heat source for oil sands separation: A numerical evaluation," Energy, Elsevier, vol. 238(PA).
    7. Wei, Xin & Feng, Zi-jun & Zhao, Yang-sheng, 2019. "Numerical simulation of thermo-hydro-mechanical coupling effect in mining fault-mode hot dry rock geothermal energy," Renewable Energy, Elsevier, vol. 139(C), pages 120-135.
    8. Han, Songcai & Cheng, Yuanfang & Gao, Qi & Yan, Chuanliang & Zhang, Jincheng, 2020. "Numerical study on heat extraction performance of multistage fracturing Enhanced Geothermal System," Renewable Energy, Elsevier, vol. 149(C), pages 1214-1226.
    9. Soltani, M. & Moradi Kashkooli, Farshad & Souri, Mohammad & Rafiei, Behnam & Jabarifar, Mohammad & Gharali, Kobra & Nathwani, Jatin S., 2021. "Environmental, economic, and social impacts of geothermal energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    10. Wang, Yang & Li, Tuo & Chen, Yun & Ma, Guowei, 2019. "Numerical analysis of heat mining and geological carbon sequestration in supercritical CO2 circulating enhanced geothermal systems inlayed with complex discrete fracture networks," Energy, Elsevier, vol. 173(C), pages 92-108.
    11. Mohan, Sooraj & Dinesha, P. & Campana, Pietro Elia, 2022. "ANN-PSO aided selection of hydrocarbons as working fluid for low-temperature organic Rankine cycle and thermodynamic evaluation of optimal working fluid," Energy, Elsevier, vol. 259(C).
    12. Ma, Yuanyuan & Li, Shibin & Zhang, Ligang & Liu, Songze & Liu, Zhaoyi & Li, Hao & Shi, Erxiu, 2020. "Study on the effect of well layout schemes and fracture parameters on the heat extraction performance of enhanced geothermal system in fractured reservoir," Energy, Elsevier, vol. 202(C).
    13. Ding, Junfeng & Wang, Shimin, 2018. "2D modeling of well array operating enhanced geothermal system," Energy, Elsevier, vol. 162(C), pages 918-932.
    14. Xu, Weicong & Zhao, Li & Mao, Samuel S. & Deng, Shuai, 2020. "Towards novel low temperature thermodynamic cycle: A critical review originated from organic Rankine cycle," Applied Energy, Elsevier, vol. 270(C).
    15. Shuozhuo Hu & Zhen Yang & Jian Li & Yuanyuan Duan, 2021. "A Review of Multi-Objective Optimization in Organic Rankine Cycle (ORC) System Design," Energies, MDPI, vol. 14(20), pages 1-36, October.
    16. Yu, Likui & Wu, Xiaotian & Hassan, N.M.S. & Wang, Yadan & Ma, Weiwu & Liu, Gang, 2020. "Modified zipper fracturing in enhanced geothermal system reservoir and heat extraction optimization via orthogonal design," Renewable Energy, Elsevier, vol. 161(C), pages 373-385.
    17. Zhang, Chao & Jiang, Guangzheng & Jia, Xiaofeng & Li, Shengtao & Zhang, Shengsheng & Hu, Di & Hu, Shengbiao & Wang, Yibo, 2019. "Parametric study of the production performance of an enhanced geothermal system: A case study at the Qiabuqia geothermal area, northeast Tibetan plateau," Renewable Energy, Elsevier, vol. 132(C), pages 959-978.
    18. Zhixue Sun & Ying Xin & Jun Yao & Kai Zhang & Li Zhuang & Xuchen Zhu & Tong Wang & Chuanyin Jiang, 2018. "Numerical Investigation on the Heat Extraction Capacity of Dual Horizontal Wells in Enhanced Geothermal Systems Based on the 3-D THM Model," Energies, MDPI, vol. 11(2), pages 1-19, January.
    19. Asai, Pranay & Panja, Palash & McLennan, John & Moore, Joseph, 2018. "Performance evaluation of enhanced geothermal system (EGS): Surrogate models, sensitivity study and ranking key parameters," Renewable Energy, Elsevier, vol. 122(C), pages 184-195.
    20. Asai, Pranay & Panja, Palash & McLennan, John & Deo, Milind, 2019. "Effect of different flow schemes on heat recovery from Enhanced Geothermal Systems (EGS)," Energy, Elsevier, vol. 175(C), pages 667-676.

    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:245:y:2022:i:c:s0360544222001621. 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.