Skip to main content
SpringerLink
Log in

Tomographic data fusion with CFD simulations associated with a planar sensor

  • Published:
Journal of Thermal Science Aims and scope Submit manuscript

Abstract

Tomographic techniques have great abilities to interrogate the combustion processes, especially when it is combined with the physical models of the combustion itself. In this study, a data fusion algorithm is developed to investigate the flame distribution of a swirl-induced environmental (EV) burner, a new type of burner for low NOx combustion. An electric capacitance tomography (ECT) system is used to acquire 3D flame images and computational fluid dynamics (CFD) is applied to calculate an initial distribution of the temperature profile for the EV burner. Experiments were also carried out to visualize flames at a series of locations above the burner. While the ECT images essentially agree with the CFD temperature distribution, discrepancies exist at a certain height. When data fusion is applied, the discrepancy is visibly reduced and the ECT images are improved. The methods used in this study can lead to a new route where combustion visualization can be much improved and applied to clean energy conversion and new burner development.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Tică A, Guéguen H, Dumur D, et al. Design of a combined cycle power plant model for optimization[J]. Applied Energy, 2012, 98(5): 256–265.

    Article  Google Scholar 

  2. Polyzakis A L, Koroneos C, Xydi G. Optimum gas turbine cycle for combined cycle power plant. Energy Conversion & Management, 2008, 49(4): 551–563.

    Article  Google Scholar 

  3. Modesto M, Nebra S A. Exergoeconomic analysis of the power genera-tion system using blast furnace and coke oven gas in a Brazilian steel mill[J]. Applied Thermal Engineering, 2009, 29(11–12): 2127–2136.

    Article  Google Scholar 

  4. Waterfall RC He R, Wolanski P. (2001). Flame visualizations using electrical capacitance tomography (ECT). Proc. SPIE, 4188, 242–250. (doi: 10.1117/12.417170)

    Article  ADS  Google Scholar 

  5. He R, Xie C G, Waterfall R C. (1994). Engine flame imaging using electrical capacitance tomography. Electronics Letters 30, 559–560. (doi: DOI: 10.1049/el:19940406)

    Article  ADS  Google Scholar 

  6. Liu S, Chen Q, Xiong X, Zhang Z and Lei J. (2008). Preliminary study on ECT imaging of flames in porous media. Measurement Science and Technology 19, 1–7. (doi: 10.1088/0957-0233/19/9/094017)

    Google Scholar 

  7. Ye Z R. 2014 Volumetric and Planar Electrical Capacitance Tomography. PhD thesis. University of Bath, UK.

    Google Scholar 

  8. Soleimani M, Mitchell CN,, Banasiak R and Wajman R. (2009). Four-dimensional electrical capacitance tomography imaging experimental data. Progress in Electromagnetics Research, PIER 90, 171–186.

    Article  Google Scholar 

  9. Warsito W and Fan LS. 2003, 3D-ECT Velocimetry for Flow Structure Quantification of Gas-Liquid-Solid Fluidized Beds. Canadian Journal of Chemical Engineering, 81, 985-884.

  10. Zbigniew Gut and Piotr Wolanski. (2010). Flame imaging using 3D electrical capacitance tomography. Combustion Science and Technology, 182, 1580–1585.

    Article  Google Scholar 

  11. Liu J, Liu S, Zhou W, et al. Sensing flame structure by process tomography.[J]. Philosophical Transactions of the Royal Society A Mathematical Physical & Engineering Sciences, 2016, 374(2070).

    Google Scholar 

  12. Teng J, Snoussi H, Richard C. Decentralized variational filtering for simultaneous sensor localization and target tracking in binary sensor networks[C], Taipei, China, 2009: 2233–2236.

    Google Scholar 

Download references

Acknowledgement

The authors wish to extend their gratitude to the State Administration of Foreign Experts Affairs for supporting the project ‘Overseas Expertise Introduction Program for Disciplines Innovation in Universities’ (ref: B13009), as well as the National Natural Science Foundation of China projects (61571189, 61503137, 61305056).

Author information

Authors and Affiliations

  1. North China Electric Power University, 2 Beinong Road, Changping District, Beijing, 102206, China

    J. Liu, S. Liu, S. Sun, W. Zhou, I. H. I. Schlaberg, M. Wang & Y. Yan

Authors
  1. J. Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. W. Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. I. H. I. Schlaberg
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. M. Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Y. Yan
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Financially supported by State Administration of Foreign Experts Affairs for supporting the project ‘Overseas Expertise Introduction Program for Disciplines Innovation in Universities’ (ref: B13009), as well as the National Natural Science Foundation of China projects (61571189, 61503137, 61305056).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, J., Liu, S., Sun, S. et al. Tomographic data fusion with CFD simulations associated with a planar sensor. J. Therm. Sci. 26, 175–182 (2017). https://doi.org/10.1007/s11630-017-0927-6

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11630-017-0927-6

Keywords

Search

Navigation