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Performance prediction and optimization of a waste-to-energy cogeneration plant with combined wet and dry cooling system

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  • Barigozzi, G.
  • Perdichizzi, A.
  • Ravelli, S.

Abstract

The present study is focused on a waste-to-energy plant located in Northern Italy, that produces electric power and thermal energy from the non-recyclable fraction of municipal and industrial solid waste (8,00,000tons/year). In cold months heat is provided to a district heating system. Another peculiarity of this plant is that the condenser system is organized with an air condenser and a water cooled condenser, coupled with a wet cooling tower. This work shows how the net power output can be maximized by properly regulating the combined wet and dry units of the combined cooling system. A detailed model of the steam cycle was performed by means of a commercial code (Thermoflex®). Off design performance were carefully predicted to simulate accurately the real thermal cycle behaviour. Once the power cycle performance has been predicted over an extensive range of operating conditions, an optimal search method was implemented to find the set of variables allowing the wet and dry cooling system to be regulated so that the maximum net power is achieved. In general, the best strategy resulted in loading as much as possible the wet cooling system to reduce the operational cost of the dry air condenser. Conversely, the whole exhaust steam flow rate has to be sent only to the air condenser when the district heating water request is very large, i.e. in coldest months.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:115:y:2014:i:c:p:65-74
    DOI: 10.1016/j.apenergy.2013.11.024
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    References listed on IDEAS

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    1. Alobaid, Falah & Postler, Ralf & Ströhle, Jochen & Epple, Bernd & Kim, Hyun-Gee, 2008. "Modeling and investigation start-up procedures of a combined cycle power plant," Applied Energy, Elsevier, vol. 85(12), pages 1173-1189, December.
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    Cited by:

    1. Xin-gang, Zhao & Gui-wu, Jiang & Ang, Li & Yun, Li, 2016. "Technology, cost, a performance of waste-to-energy incineration industry in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 115-130.
    2. Hu, Hemin & Li, Zhigang & Jiang, Yuyan & Du, Xiaoze, 2018. "Thermodynamic characteristics of thermal power plant with hybrid (dry/wet) cooling system," Energy, Elsevier, vol. 147(C), pages 729-741.
    3. Zhao, Yuanbin & Sun, Fengzhong & Li, Yan & Long, Guoqing & Yang, Zhi, 2015. "Numerical study on the cooling performance of natural draft dry cooling tower with vertical delta radiators under constant heat load," Applied Energy, Elsevier, vol. 149(C), pages 225-237.
    4. Moslem Yousefzadeh & Manfred Lenzen & Muhammad Arsalan Tariq, 2022. "Cooling and Power from Waste and Agriculture Residue as a Sustainable Strategy for Small Islands—A Case Study of Tonga," Sustainability, MDPI, vol. 15(1), pages 1-28, December.
    5. Chen, Lei & Yang, Lijun & Du, Xiaoze & Yang, Yongping, 2016. "A novel layout of air-cooled condensers to improve thermo-flow performances," Applied Energy, Elsevier, vol. 165(C), pages 244-259.
    6. Ehsan, M. Monjurul & Guan, Zhiqiang & Gurgenci, Hal & Klimenko, Alexander, 2020. "Feasibility of dry cooling in supercritical CO2 power cycle in concentrated solar power application: Review and a case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    7. Yang, Lijun & Zhao, Xiaoli & Du, Xiaoze & Yang, Yongping, 2014. "Heat load capability matching principle and its applications to anti-freezing of air-cooled condenser," Applied Energy, Elsevier, vol. 127(C), pages 34-43.
    8. Hu, Chenlian & Liu, Xiao & Lu, Jie & Wang, Chi-Hwa, 2020. "Distributionally robust optimization for power trading of waste-to-energy plants under uncertainty," Applied Energy, Elsevier, vol. 276(C).
    9. Wang, Weiliang & Zhang, Hai & Liu, Pei & Li, Zheng & Lv, Junfu & Ni, Weidou, 2017. "The cooling performance of a natural draft dry cooling tower under crosswind and an enclosure approach to cooling efficiency enhancement," Applied Energy, Elsevier, vol. 186(P3), pages 336-346.

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