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Identification of optimal operating strategy of direct air-cooling condenser for Rankine cycle based power plants

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  • Li, Xiaoen
  • Wang, Ningling
  • Wang, Ligang
  • Yang, Yongping
  • Maréchal, François

Abstract

Direct air-cooling condenser has attracted significant attention in the last decade due to the employment of Rankine-cycle based power plants from renewable (e.g., concentrated solar) or traditional (e.g., coal) heat sources in water-scarce areas. The optimal operating strategy of direct air-cooling condenser to maximize net power gain under given plant status and boundary conditions is rather complicated due to strong impacts from the steam turbine subsystem and varying ambient conditions. This paper aims at determining, for various boundary conditions, the optimal operating fan frequency and the corresponding back pressure of a typical large-scale air-cooled coal-fired power plant via accurate off-design models of both the turbine subsystem and air-cooling condenser, which are derived by combining aggregated physical equations and real operating data. Several data pre-processing techniques, e.g., quasi steady-state selection, are employed first to improve the data quality. Then, the processed data are divided into two parts for the performance characterization of involved equipment and the accuracy testing of the derived models, respectively. The results show that good agreement has been achieved between the prediction of the established models and the real operating data within a wide range of load factor (50–100%), and ambient temperature (10–30 °C). To maximize the plant profit, practical and quantitative operating guidelines of the air fans have been derived, which are further employed to examine current operating strategy of the air-cooling condenser of the considered power plant. It is found that with a load factor over 85%, even the full-load operation of all equipped air fans cannot deliver the theoretical optimal back pressure for the steam turbine subsystem, indicating potential benefits of enlarging the condenser for high operating loads. The proposed identification procedure can be easily implemented as an online monitoring and supervision system to practically assist the optimal plant operation.

Suggested Citation

  • Li, Xiaoen & Wang, Ningling & Wang, Ligang & Yang, Yongping & Maréchal, François, 2018. "Identification of optimal operating strategy of direct air-cooling condenser for Rankine cycle based power plants," Applied Energy, Elsevier, vol. 209(C), pages 153-166.
  • Handle: RePEc:eee:appene:v:209:y:2018:i:c:p:153-166
    DOI: 10.1016/j.apenergy.2017.10.081
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    Cited by:

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    2. Wenhui Huang & Lei Chen & Lijun Yang & Xiaoze Du, 2021. "Energy-Saving Strategies of Axial Flow Fans for Direct Dry Cooling System," Energies, MDPI, vol. 14(11), pages 1-25, May.
    3. Yongping Yang & Xiaoen Li & Zhiping Yang & Qing Wei & Ningling Wang & Ligang Wang, 2018. "The Application of Cyber Physical System for Thermal Power Plants: Data-Driven Modeling," Energies, MDPI, vol. 11(4), pages 1-16, March.
    4. Ligang Wang & Zhiping Yang & Shivom Sharma & Alberto Mian & Tzu-En Lin & George Tsatsaronis & François Maréchal & Yongping Yang, 2018. "A Review of Evaluation, Optimization and Synthesis of Energy Systems: Methodology and Application to Thermal Power Plants," Energies, MDPI, vol. 12(1), pages 1-53, December.
    5. Zhiling Luo & Qi Yao, 2022. "Multi-Model-Based Predictive Control for Divisional Regulation in the Direct Air-Cooling Condenser," Energies, MDPI, vol. 15(13), pages 1-18, June.
    6. Vieira, Lara Werncke & Marques, Augusto Delavald & Duarte, Jéssica & Zanardo, Rafael Petri & Schneider, Paulo Smith & Viana, Felipe Antonio Chegury & da Silva Neto, Antônio José & Centeno, Felipe Roma, 2022. "Operational guide to stabilize, standardize and increase power plant efficiency," Applied Energy, Elsevier, vol. 315(C).
    7. Jamil, Ahmad & Javed, Adeel & Wajid, Abdul & Zeb, Muhammad Omar & Ali, Majid & Khoja, Asif Hussain & Imran, Muhammad, 2021. "Multiparametric optimization for reduced condenser cooling water consumption in a degraded combined cycle gas turbine power plant from a water-energy nexus perspective," Applied Energy, Elsevier, vol. 304(C).

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