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Stabilization and heat transfer enhancement of nano-organic fluids in ORC systems: role of surfactant type and concentration in evaporation and condensation processes

Author

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  • Feng, Yong-qiang
  • Liu, Zhi-nan
  • Xu, Kang-jing
  • Wu, Hua-jian
  • Wu, Yu-zhe
  • Tian, Shi-long
  • Wang, Xing-xing
  • Wang, Yong-zhen
  • He, Zhi-xia

Abstract

The agglomeration of nanoparticles in nanofluids remains a critical challenge in practical applications. This study experimentally investigates the stabilization mechanisms and heat transfer characteristics of nano-organic working fluids (TiO2/R123) modified with three surfactants (anionic SDBS, cationic CTAB, and non-ionic Span80) during evaporation and condensation processes in organic Rankine cycle (ORC) systems. Particle size analysis, absorbance measurements, and viscosity assessments are systematically conducted to evaluate stability, while heat transfer coefficients and pressure drops are analyzed under varying mass fluxes (200–500 kg/(m2·s)). Results indicate that the optimal surfactant concentrations for dispersion stability are 0.3 % CTAB, 0.4 % SDBS, and 0.3 % Span80. Surfactants improve evaporation heat transfer coefficients by 2.1–39.6 %, with 0.3 % Span80-TiO2/R123 achieving the maximum enhancement (39.6 % at G = 450 kg/(m2·s)), while evaporation pressure drops decrease by 9.5–48.6 %, with 0.3 % CTAB-TiO2/R123 showing the largest reduction (48.6 % at G = 350 kg/(m2·s)). Surfactant-modified nano-organic working fluids increase condensation heat transfer coefficients by 14.9–72.5 %, with 0.4 % SDBS-TiO2/R123 delivering the highest enhancement (72.5 % at G = 450 kg/(m2·s)). The condensation pressure drops of surfactant-modified nano-organic working fluids are in range of 0.04–0.10 MPa, which is 6–50 % lower than that of unmodified nano-organic working fluids of 0.08–0.12 MPa. This work provides a framework for designing surfactant-modified nanofluids in ORC systems.

Suggested Citation

  • Feng, Yong-qiang & Liu, Zhi-nan & Xu, Kang-jing & Wu, Hua-jian & Wu, Yu-zhe & Tian, Shi-long & Wang, Xing-xing & Wang, Yong-zhen & He, Zhi-xia, 2025. "Stabilization and heat transfer enhancement of nano-organic fluids in ORC systems: role of surfactant type and concentration in evaporation and condensation processes," Energy, Elsevier, vol. 330(C).
  • Handle: RePEc:eee:energy:v:330:y:2025:i:c:s0360544225024910
    DOI: 10.1016/j.energy.2025.136849
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    References listed on IDEAS

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    1. Wu, Xialai & Lin, Ling & Xie, Lei & Chen, Junghui & Shan, Lu, 2024. "Fast robust optimization of ORC based on an artificial neural network for waste heat recovery," Energy, Elsevier, vol. 301(C).
    2. 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.
    3. Yang, Min-Hsiung & Yeh, Rong-Hua, 2016. "Economic performances optimization of an organic Rankine cycle system with lower global warming potential working fluids in geothermal application," Renewable Energy, Elsevier, vol. 85(C), pages 1201-1213.
    4. Feng, Yong-qiang & Zhang, Fei-yang & Xu, Jing-wei & He, Zhi-xia & Zhang, Qiang & Xu, Kang-jing, 2023. "Parametric analysis and multi-objective optimization of biomass-fired organic Rankine cycle system combined heat and power under three operation strategies," Renewable Energy, Elsevier, vol. 208(C), pages 431-449.
    5. Luo, Junwei & Lu, Pei & Chen, Kaihuang & Luo, Xianglong & Chen, Jianyong & Liang, Yingzong & Yang, Zhi & Chen, Ying, 2023. "Experimental and simulation investigation on the heat exchangers in an ORC under various heat source/sink conditions," Energy, Elsevier, vol. 264(C).
    6. Rasool, Ghulam & Guo, Xiangping & Wang, Zhenchang & Ali, Muhammad Usman & Chen, Sheng & Zhang, Shuxuan & Wu, Qijin & Ullah, Muhammad Saif, 2020. "Coupling fertigation and buried straw layer improves fertilizer use efficiency, fruit yield, and quality of greenhouse tomato," Agricultural Water Management, Elsevier, vol. 239(C).
    7. Yang, Min-Hsiung & Yeh, Rong-Hua, 2015. "Thermodynamic and economic performances optimization of an organic Rankine cycle system utilizing exhaust gas of a large marine diesel engine," Applied Energy, Elsevier, vol. 149(C), pages 1-12.
    8. Feng, Yong-qiang & Xu, Jing-wei & He, Zhi-xia & Hung, Tzu-Chen & Shao, Meng & Zhang, Fei-yang, 2022. "Numerical simulation and optimal design of scroll expander applied in a small-scale organic rankine cycle," Energy, Elsevier, vol. 260(C).
    9. Mana, A.A. & Kaitouni, S.I. & Kousksou, T. & Jamil, A., 2023. "Enhancing sustainable energy conversion: Comparative study of superheated and recuperative ORC systems for waste heat recovery and geothermal applications, with focus on 4E performance," Energy, Elsevier, vol. 284(C).
    10. Braimakis, Konstantinos & Mikelis, Angelos & Charalampidis, Antonios & Karellas, Sotirios, 2020. "Exergetic performance of CO2 and ultra-low GWP refrigerant mixtures as working fluids in ORC for waste heat recovery," Energy, Elsevier, vol. 203(C).
    11. Uris, María & Linares, José Ignacio & Arenas, Eva, 2014. "Techno-economic feasibility assessment of a biomass cogeneration plant based on an Organic Rankine Cycle," Renewable Energy, Elsevier, vol. 66(C), pages 707-713.
    12. Kosmadakis, George & Neofytou, Panagiotis, 2020. "Investigating the performance and cost effects of nanorefrigerants in a low-temperature ORC unit for waste heat recovery," Energy, Elsevier, vol. 204(C).
    13. Feng, Yong-Qiang & Zhang, Qiang & Xu, Kang-Jing & Wang, Chun-Ming & He, Zhi-Xia & Hung, Tzu-Chen, 2023. "Operation characteristics and performance prediction of a 3 kW organic Rankine cycle (ORC) with automatic control system based on machine learning methodology," Energy, Elsevier, vol. 263(PC).
    14. Huang, Junwei & Xiao, Qingtai & Liu, Jingjing & Wang, Hua, 2019. "Modeling heat transfer properties in an ORC direct contact evaporator using RBF neural network combined with EMD," Energy, Elsevier, vol. 173(C), pages 306-316.
    15. Feng, Yong-qiang & Wang, Yu & Yao, Lin & Xu, Jing-wei & Zhang, Fei-yang & He, Zhi-xia & Wang, Qian & Ma, Jian-long, 2023. "Parametric analysis and thermal-economical optimization of a parallel dual pressure evaporation and two stage regenerative organic Rankine cycle using mixture working fluids," Energy, Elsevier, vol. 263(PA).
    16. Peng, Hao & Lin, Lingnan & Ding, Guoliang, 2015. "Influences of primary particle parameters and surfactant on aggregation behavior of nanoparticles in nanorefrigerant," Energy, Elsevier, vol. 89(C), pages 410-420.
    17. Walraven, Daniël & Laenen, Ben & D'haeseleer, William, 2015. "Economic system optimization of air-cooled organic Rankine cycles powered by low-temperature geothermal heat sources," Energy, Elsevier, vol. 80(C), pages 104-113.
    18. Feng, Yong-Qiang & Wu, Yu-Zhe & Zhang, Qiang & Liu, Zhi-Nan & Wang, Xing-Xing & Hung, Tzu-Chen & Yu, Hao-Shui & He, Zhi-Xia, 2025. "Experiment investigation and machine learning prediction of a biomass-fired organic Rankine cycle combined heating and power system under various heat source temperatures and mass flow rates," Energy, Elsevier, vol. 324(C).
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