Skip to main content
Log in

Numerical simulation on combustion based on soft-measuring technique

  • Original
  • Published:
Heat and Mass Transfer Aims and scope Submit manuscript

Abstract

Power plants have their own corresponding designed coal types. However, in practice, typically in China, more than one types of coal are burnt in power plants for long term as the cost of transportation and limited reserves of coal needed to be considered. In this paper, a soft-measuring model is built to analyze coal quality. By running the online coal quality analysis program, coal type burning on the boiler at present is obtained. Three common coal types are selected and three air distribution modes are designed. By simulation, temperature CO emission and NOx emission graphics are obtained and the best air distribution mode is chosen for each coal type. Combining with the coal quality analysis system, the air distribution mode can be adjusted while the boiler is running, which can increase the thermal efficiency and decrease the NOx emission.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

  1. Klaus G (2011) Influence of heat and mass transfer on the ignition and NOx formation in single droplet combustion [J]. Heat Mass Transf 47:1065–1076

    Article  Google Scholar 

  2. Zhou J, Fan Z, Si F, Xu Z (2008) Review on research and development of combustion optimization technology for utility boilers [J]. Boiler technology (05): 33–36 + 42

  3. Qian L, Hongchang Y, Manchun L, Yu S, Zhikang Z (2010) Automatic coal sampling and ash content detecting device[P]. CN:2010206197970

  4. Yoshida H, Noguchi T, Ichikawa M, Nakane T, Kubo K, Kinoshita K (1988) Moisture Measureing Device[P]. JP:1988011153

  5. Su C, Zheng J, Liu E, Qiu M, Zheng S, Cai Y, Yao B, Zhou T (2010) Near-infrared method for simultaneously and rapidly detecting multiple quality items in coal[P]. CN2014105792863

  6. Sowerby BD (2009) Nuclear techniques for the on-line bulk analysis of carbon in coal-fired power stations[J]. Appl Radiat Isot 67(9):1638–1643

    Article  Google Scholar 

  7. Fuguo L, Weidong H, Xiaogang H, Yuquan G (2002) Coal quality monitoring model of power plant boiler based on flue gas composition analysis [J]. Combust Sci Technol 05:441–445

    Google Scholar 

  8. Su H (2014) Research on multi-objective online combustion optimization system of 350MW W-shaped flame boiler [D]. North China Electric Power University

  9. Gao XT, Huang L, Zhang EX, Zang MY (2010) Experimental study of the influence of NOX emissions from the boiler of a 1000MW power plant[J]. Journal of Chinese Society & Power Engineering 25(2):221–225

    Google Scholar 

  10. Sankar G (2020) Chandra Sekhar Dhannina, Santhosh Kumar D, Balasubramanian K R, Numerical simulation of the heat transfer and NOX emissions in a 660MW tangentially fired pulverised-coal supercritical boiler [J]. Heat Mass Transf 56:2693–2709

    Article  Google Scholar 

  11. Xu Chang Lu, Jianhong ZY, Xiaoqiong F (2006) Boiler combustion global optimization on efficiency and low NOX emissions object [J]. Proceedings of the Chinese Society of Electrical Engineering 26(04):46–50

    Google Scholar 

Download references

Acknowledgements

The authors are grateful for the support provided by Newton Fund UK-China Industry Academia Partnership Programme scheme (UK-CIAPP\201), Jilin Province Science and Technology Development Programme scheme (20180414021GH) and Education Department of Jilin Province Higher Education Teaching Reform Project(2019XZD038).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yingai Jin.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Quan, M., Jin, Y., Yan, S. et al. Numerical simulation on combustion based on soft-measuring technique. Heat Mass Transfer 58, 143–156 (2022). https://doi.org/10.1007/s00231-021-03090-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00231-021-03090-1

Navigation