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Fast prediction of temperature and chemical species distributions in pulverized coal boiler using POD reduced-order modeling for CFD

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  • Chen, Xi
  • Zhong, Wenqi
  • Li, Tianyu

Abstract

This study aims to develop a fast prediction method of 3D temperature and chemical species distributions in pulverized coal boilers for real-time combustion monitoring and optimization. Firstly, 585 CFD simulations of a 330 MW tangentially fired pulverized coal boiler were conducted, covering different operating parameter combinations, including coal types, wind scheme, excess air coefficient, boiler load, and et al. Then, the temperature and chemical species data in each cell from the simulations were collected into a snapshot matrix. Next, the proper orthogonal decomposition (POD) method was used to extract the POD modes and POD coefficients from the snapshot matrix so that the temperature and chemical species data among the 585 simulations can be expressed as a weighted sum of the POD modes and the corresponding POD coefficients. Finally, the relationship between the POD coefficients and the related operating parameter combinations was fitted using data-driven methods, which realizes the fast temperature and chemical species distribution prediction under arbitrary operating parameter combinations. The results indicate that the proposed fast prediction method can obtain the boiler's three-dimensional temperature and chemical species distributions within 180.7 s, which is only 1/936 of the time consumption of CFD simulation (169141.2 s). The root relative squared error (RRSE) of the predicted temperature field, O2, CO, CO2, and SO2 distributions are below 2%, 1.79%, 1.61%, 2.11%, and 1.79%, respectively, which shows the great potential of this method for boiler combustion monitoring and digital twin modeling.

Suggested Citation

  • Chen, Xi & Zhong, Wenqi & Li, Tianyu, 2023. "Fast prediction of temperature and chemical species distributions in pulverized coal boiler using POD reduced-order modeling for CFD," Energy, Elsevier, vol. 276(C).
    • Handle: RePEc:eee:energy:v:276:y:2023:i:c:s0360544223010575
    DOI: 10.1016/j.energy.2023.127663
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    References listed on IDEAS

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    1. Li, Zixiang & Miao, Zhengqing & Zhou, Yan & Wen, Shurong & Li, Jiangtao, 2018. "Influence of increased primary air ratio on boiler performance in a 660 MW brown coal boiler," Energy, Elsevier, vol. 152(C), pages 804-817.
    2. Guo, Junjun & Liu, Zhaohui & Hu, Fan & Li, Pengfei & Luo, Wei & Huang, Xiaohong, 2018. "A compatible configuration strategy for burner streams in a 200 MWe tangentially fired oxy-fuel combustion boiler," Applied Energy, Elsevier, vol. 220(C), pages 59-69.
    3. Wu, Xiaofeng & Fan, Weidong & Liu, Yacheng & Bian, Bao, 2019. "Numerical simulation research on the unique thermal deviation in a 1000 MW tower type boiler," Energy, Elsevier, vol. 173(C), pages 1006-1020.
    4. Adamczyk, Wojciech P. & Isaac, Benjamin & Parra-Alvarez, John & Smith, Sean T. & Harris, Derek & Thornock, Jeremy N. & Zhou, Minmin & Smith, Philip J. & Żmuda, Robert, 2018. "Application of LES-CFD for predicting pulverized-coal working conditions after installation of NOx control system," Energy, Elsevier, vol. 160(C), pages 693-709.
    5. Shi, Yan & Zhong, Wenqi & Chen, Xi & Yu, A.B. & Li, Jie, 2019. "Combustion optimization of ultra supercritical boiler based on artificial intelligence," Energy, Elsevier, vol. 170(C), pages 804-817.
    6. Modliński, Norbert & Madejski, Pawel & Janda, Tomasz & Szczepanek, Krzysztof & Kordylewski, Wlodzimierz, 2015. "A validation of computational fluid dynamics temperature distribution prediction in a pulverized coal boiler with acoustic temperature measurement," Energy, Elsevier, vol. 92(P1), pages 77-86.
    7. Belošević, Srdjan & Tomanović, Ivan & Crnomarković, Nenad & Milićević, Aleksandar, 2019. "Full-scale CFD investigation of gas-particle flow, interactions and combustion in tangentially fired pulverized coal furnace," Energy, Elsevier, vol. 179(C), pages 1036-1053.
    8. Chen, Shinan & He, Boshu & He, Di & Cao, Yang & Ding, Guangchao & Liu, Xuan & Duan, Zhipeng & Zhang, Xin & Song, Jingge & Li, Xuezheng, 2017. "Numerical investigations on different tangential arrangements of burners for a 600 MW utility boiler," Energy, Elsevier, vol. 122(C), pages 287-300.
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