Wet cooling tower performance prediction in CSP plants: A comparison between artificial neural networks and Poppe’s model
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DOI: 10.1016/j.energy.2024.131844
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- Faisal Asfand & Patricia Palenzuela & Lidia Roca & Adèle Caron & Charles-André Lemarié & Jon Gillard & Peter Turner & Kumar Patchigolla, 2020. "Thermodynamic Performance and Water Consumption of Hybrid Cooling System Configurations for Concentrated Solar Power Plants," Sustainability, MDPI, vol. 12(11), pages 1-19, June.
- Barigozzi, G. & Perdichizzi, A. & Ravelli, S., 2014. "Performance prediction and optimization of a waste-to-energy cogeneration plant with combined wet and dry cooling system," Applied Energy, Elsevier, vol. 115(C), pages 65-74.
- Barigozzi, G. & Perdichizzi, A. & Ravelli, S., 2011. "Wet and dry cooling systems optimization applied to a modern waste-to-energy cogeneration heat and power plant," Applied Energy, Elsevier, vol. 88(4), pages 1366-1376, April.
- Palenzuela, Patricia & Roca, Lidia & Asfand, Faisal & Patchigolla, Kumar, 2022. "Experimental assessment of a pilot scale hybrid cooling system for water consumption reduction in CSP plants," Energy, Elsevier, vol. 242(C).
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Keywords
Concentrated solar power; Cooling system; Modelling; Neural networks; Sensitivity analysis;All these keywords.
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