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Constructal design for a boiler economizer

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  • Tang, Wei
  • Feng, Huijun
  • Chen, Lingen
  • Xie, Zhuojun
  • Shi, Junchao

Abstract

Carrying out structural and parametric design and performance optimization of boiler economizer is important to improve comprehensive performance of supercharged boiler. By application of constructal theory, the design of a boiler economizer is conducted in this paper. Firstly, a complex function composed of linear weighted sum of heat transfer rate and power consumption rate is minimized. The total heat transfer area is given, and outer diameter, group number and row number of the serpentine tubes are taken as design variables, respectively. The optimal performance of the boiler economizer is gained. It reveals that in the limited ranges of the design variables, the optimal dimensionless outer diameter, optimal group number and optimal row number of the serpentine tubes are 0.92, 16 and 8, respectively, which individually lead to the minimum complex function. The complex functions derived by individually optimizing the outer diameter, group number and row number of the serpentine tubes are decreased by 5.7%, 4.9% and 5.0%, respectively. Secondly, multi-objective optimization based on non-dominated sorting genetic algorithm (NSGA-II) is also conducted, and the Pareto frontier is obtained. The research results of this paper will provide certain theoretical guidelines for structural and parametric designs of various boiler economizers.

Suggested Citation

  • Tang, Wei & Feng, Huijun & Chen, Lingen & Xie, Zhuojun & Shi, Junchao, 2021. "Constructal design for a boiler economizer," Energy, Elsevier, vol. 223(C).
    • Handle: RePEc:eee:energy:v:223:y:2021:i:c:s0360544221002620
    DOI: 10.1016/j.energy.2021.120013
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    Cited by:

    1. Huijun Feng & Lingen Chen & Wei Tang & Yanlin Ge, 2022. "Optimal Design of a Dual-Pressure Steam Turbine for Rankine Cycle Based on Constructal Theory," Energies, MDPI, vol. 15(13), pages 1-20, July.
    2. Li, Guolong & Li, Yanjun & Fang, Chengyue & Su, Jian & Wang, Haotong & Sun, Shengdi & Zhang, Guolei & Shi, Jianxin, 2023. "Research on fault diagnosis of supercharged boiler with limited data based on few-shot learning," Energy, Elsevier, vol. 281(C).
    3. Dongliang Li & Shaojun Xia & Jianghua Geng & Fankai Meng & Yutao Chen & Guoqing Zhu, 2022. "Discriminability Analysis of Characterization Parameters in Micro-Leakage of Turbocharged Boiler’s Evaporation Tube," Energies, MDPI, vol. 15(22), pages 1-20, November.
    4. Huijun Feng & Wei Tang & Lingen Chen & Junchao Shi & Zhixiang Wu, 2021. "Multi-Objective Constructal Optimization for Marine Condensers," Energies, MDPI, vol. 14(17), pages 1-18, September.
    5. Zhu, Meng & Zhou, Jing & Chen, Lei & Su, Sheng & Hu, Song & Qing, Haoran & Li, Aishu & Wang, Yi & Zhong, Wenqi & Xiang, Jun, 2022. "Economic analysis and cost modeling of supercritical CO2 coal-fired boiler based on global optimization," Energy, Elsevier, vol. 239(PD).

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