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Multi-objective analysis of an influence of a geothermal water salinity on optimal operating parameters in low-temperature ORC power plant

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  • Jankowski, Marcin
  • Borsukiewicz, Aleksandra
  • Wiśniewski, Sławomir
  • Hooman, Kamel

Abstract

The effects of geothermal brine salinity on optimal operating parameters of an organic Rankine cycle (ORC) power plant are investigated. For a more comprehensive understanding of the problem, a multi-objective optimization study is conducted aiming at minimizing the total heat transfer area while maximizing the exergy efficiency of the ORC. The optimization problem is solved using Non-dominated Sorting Genetic Algorithm-II. The multi-criteria decision making results show that an increase in the salinity (from 0.00 kgkg−1 to 0.12 kgkg−1) lowers the total heat transfer area and exergy efficiency by 4.39% (from 82.0 m2 to 78.4 m2) and 7.72% (from 28.5% to 26.3%), respectively. An adverse impact of the salinity on the exergy efficiency is dominant resulting in higher system size (reaching 8.00%) for obtaining the same exergy efficiency. For the same reason, a lower exergy efficiency (up to 5.00%) is reported for a system with the predefined heat exchangers size. A sensitivity analysis reveals that the salinity influence on the heat transfer area and exergy efficiency is mainly associated with a decrease in the mass flow rate of the working fluid. Moreover, salinity can increase the exergy flow rate of the brine thereby impacting the exergy efficiency. It is concluded that the salinity of the geothermal water should be considered in designing the ORC for a geothermal power plant because of its significant impact on the performance of the system.

Suggested Citation

  • Jankowski, Marcin & Borsukiewicz, Aleksandra & Wiśniewski, Sławomir & Hooman, Kamel, 2020. "Multi-objective analysis of an influence of a geothermal water salinity on optimal operating parameters in low-temperature ORC power plant," Energy, Elsevier, vol. 202(C).
    • Handle: RePEc:eee:energy:v:202:y:2020:i:c:s0360544220307738
    DOI: 10.1016/j.energy.2020.117666
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    1. Cui, Yunfei & Geng, Zhiqiang & Zhu, Qunxiong & Han, Yongming, 2017. "Review: Multi-objective optimization methods and application in energy saving," Energy, Elsevier, vol. 125(C), pages 681-704.
    2. Da Lio, Luca & Manente, Giovanni & Lazzaretto, Andrea, 2017. "A mean-line model to predict the design efficiency of radial inflow turbines in organic Rankine cycle (ORC) systems," Applied Energy, Elsevier, vol. 205(C), pages 187-209.
    3. Li, Jian & Ge, Zhong & Duan, Yuanyuan & Yang, Zhen & Liu, Qiang, 2018. "Parametric optimization and thermodynamic performance comparison of single-pressure and dual-pressure evaporation organic Rankine cycles," Applied Energy, Elsevier, vol. 217(C), pages 409-421.
    4. Behzadi, Amirmohammad & Gholamian, Ehsan & Houshfar, Ehsan & Habibollahzade, Ali, 2018. "Multi-objective optimization and exergoeconomic analysis of waste heat recovery from Tehran's waste-to-energy plant integrated with an ORC unit," Energy, Elsevier, vol. 160(C), pages 1055-1068.
    5. Guzović, Z. & Lončar, D. & Ferdelji, N., 2010. "Possibilities of electricity generation in the Republic of Croatia by means of geothermal energy," Energy, Elsevier, vol. 35(8), pages 3429-3440.
    6. 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.
    7. Liu, Changwei & Gao, Tieyu, 2019. "Off-design performance analysis of basic ORC, ORC using zeotropic mixtures and composition-adjustable ORC under optimal control strategy," Energy, Elsevier, vol. 171(C), pages 95-108.
    8. Ciani Bassetti, Martina & Consoli, Daniele & Manente, Giovanni & Lazzaretto, Andrea, 2018. "Design and off-design models of a hybrid geothermal-solar power plant enhanced by a thermal storage," Renewable Energy, Elsevier, vol. 128(PB), pages 460-472.
    9. Lu, Xinli & Zhao, Yangyang & Zhu, Jialing & Zhang, Wei, 2018. "Optimization and applicability of compound power cycles for enhanced geothermal systems," Applied Energy, Elsevier, vol. 229(C), pages 128-141.
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    1. 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).
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    3. Xinxing Lin & Chonghui Chen & Aofang Yu & Likun Yin & Wen Su, 2021. "Performance Comparison of Advanced Transcritical Power Cycles with High-Temperature Working Fluids for the Engine Waste Heat Recovery," Energies, MDPI, vol. 14(18), pages 1-32, September.
    4. Semmari, Hamza & Bouaicha, Foued & Aberkane, Sofiane & Filali, Abdelkader & Blessent, Daniela & Badache, Messaoud, 2024. "Geological context and thermo-economic study of an indirect heat ORC geothermal power plant for the northeast region of Algeria," Energy, Elsevier, vol. 290(C).
    5. Liu, Zhan & Liu, Xu & Yang, Shanju & Hooman, Kamel & Yang, Xiaohu, 2021. "Assessment evaluation of a trigeneration system incorporated with an underwater compressed air energy storage," Applied Energy, Elsevier, vol. 303(C).
    6. Marcin Jankowski & Aleksandra Borsukiewicz & Kamel Hooman, 2020. "Development of Decision-Making Tool and Pareto Set Analysis for Bi-Objective Optimization of an ORC Power Plant," Energies, MDPI, vol. 13(20), pages 1-27, October.
    7. 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.
    8. Szturgulewski, Kacper & Głuch, Jerzy & Drosińska-Komor, Marta & Ziółkowski, Paweł & Gardzilewicz, Andrzej & Brzezińska-Gołębiewska, Katarzyna, 2024. "Hybrid geothermal-fossil power cycle analysis in a Polish setting with a focus on off-design performance and CO2 emissions reductions," Energy, Elsevier, vol. 299(C).
    9. 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.
    10. Huixing, Zhai & Lin, Shi & Qingsong, An & Suilin, Wang & Baolin, An, 2021. "Key parameter influence mechanism and optimal working fluid screening correlation for trans-critical organic Rankine cycle with open type heat sources," Energy, Elsevier, vol. 214(C).
    11. Xie, Yingchun & Nie, Yutai & Li, Tailu & Zhang, Yao & Wang, Jingyi, 2023. "Flash evaporation strategy of organic Rankine cycle for geothermal power performance enhancement: A case study," Renewable Energy, Elsevier, vol. 212(C), pages 57-69.
    12. Hui-Xing, Zhai & Wei, Dong & Lin, Shi & Qing-Song, An & Sui-Lin, Wang & Bao-Lin, An, 2022. "Theoretical selection criteria of organic Rankine cycle form for different heat sources," Energy, Elsevier, vol. 238(PC).
    13. Witanowski, Łukasz & Klonowicz, Piotr & Lampart, Piotr & Ziółkowski, Paweł, 2023. "Multi-objective optimization of the ORC axial turbine for a waste heat recovery system working in two modes: cogeneration and condensation," Energy, Elsevier, vol. 264(C).

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