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Experimental analysis of parameter influences on the performances of direct air cooled power generating unit

Author

Listed:
  • Liu, Lihua
  • Du, Xiaoze
  • Xi, Xinming
  • Yang, Lijun
  • Yang, Yongping

Abstract

The direct air-cooled power generating units subjected to the environmental natural wind were influenced by the cluster effect of the axial flow fan cluster and the exhaust hot air recirculation simultaneously. The coupling effects would lead to complex variations of fan cooling capacity in different areas of the air-cooled condensers. The divisional regulation experiments were carried out on the axial flow fan cluster of the 2 × 330 MW direct air-cooled power generating units. Based on experimental data, the grey relational analysis approach was applied to obtain the influences of the operating parameters, axial flow fans, as well as environmental conditions on the performances of the objective air-cooled power generating unit quantitatively. The results indicated that the speed and current of axial flow fans in different portions of the fan cluster influenced the back pressure and the coal consumption rate for power supply differently, and the fan speed influenced the performances of the power generating unit more directly than the fan current. The results can be the evidence for taking the divisional regulation of fan cluster against the impact of natural wind on the operating performance of power generating unit.

Suggested Citation

  • Liu, Lihua & Du, Xiaoze & Xi, Xinming & Yang, Lijun & Yang, Yongping, 2013. "Experimental analysis of parameter influences on the performances of direct air cooled power generating unit," Energy, Elsevier, vol. 56(C), pages 117-123.
    • Handle: RePEc:eee:energy:v:56:y:2013:i:c:p:117-123
    DOI: 10.1016/j.energy.2013.04.052
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    Cited by:

    1. 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.
    2. Bose, Probir Kumar & Deb, Madhujit & Banerjee, Rahul & Majumder, Arindam, 2013. "Multi objective optimization of performance parameters of a single cylinder diesel engine running with hydrogen using a Taguchi-fuzzy based approach," Energy, Elsevier, vol. 63(C), pages 375-386.
    3. Wei Yuan & Fengzhong Sun & Yuanbin Zhao & Xuehong Chen & Ying Li & Xiaolei Lyu, 2020. "Numerical Study on the Influence Mechanism of Crosswind on Frozen Phenomena in a Direct Air-Cooled System," Energies, MDPI, vol. 13(15), pages 1-18, July.
    4. Zhang, Yi & Liu, Jinfeng & Yang, Tingting & Liu, Jianbang & Shen, Jiong & Fang, Fang, 2021. "Dynamic modeling and control of direct air-cooling condenser pressure considering couplings with adjacent systems," Energy, Elsevier, vol. 236(C).
    5. Elena Arce, María & Saavedra, Ángeles & Míguez, José L. & Granada, Enrique, 2015. "The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 924-932.
    6. Butler, C. & Grimes, R., 2014. "The effect of wind on the optimal design and performance of a modular air-cooled condenser for a concentrated solar power plant," Energy, Elsevier, vol. 68(C), pages 886-895.
    7. 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.

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