IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v94y2012icp13-21.html
   My bibliography  Save this article

Design of image-based control loops for industrial combustion processes

Author

Listed:
  • Chen, Junghui
  • Chang, Yu-Hsiang
  • Cheng, Yi-Cheng
  • Hsu, Chen-Kai

Abstract

Combustion is often used in the industry to produce required energy. Due to the increasing need of minimizing energy loss or pollution of combustors, keeping good performance of combustion control is highly desired. To achieve tight combustion control is not straightforward, because most of the flames encountered are turbulent flames. A novel method is proposed in this study to improve the control performance of product quality by applying the digital flame color images to control loops. It will lead to a substantial reduction in oxygen quality variability. With the minimal oxygen quality variability, the requirement of the excess combustion air in a furnace is minimized and it will have less loss of heat. Based on the novel structure, the designable performance bound and the corresponding optimal parameters of the controller structure computed from the closed loop operating data are proposed. The performance bound can assess the performance of the current given controller. To demonstrate the advantages of the proposed method, data from a real combustion system are presented to delve into the matter.

Suggested Citation

  • Chen, Junghui & Chang, Yu-Hsiang & Cheng, Yi-Cheng & Hsu, Chen-Kai, 2012. "Design of image-based control loops for industrial combustion processes," Applied Energy, Elsevier, vol. 94(C), pages 13-21.
    • Handle: RePEc:eee:appene:v:94:y:2012:i:c:p:13-21
    DOI: 10.1016/j.apenergy.2011.12.080
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261911008865
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2011.12.080?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chen, Junghui & Hsu, Tong-Yang & Chen, Chih-Chien & Cheng, Yi-Cheng, 2010. "Monitoring combustion systems using HMM probabilistic reasoning in dynamic flame images," Applied Energy, Elsevier, vol. 87(7), pages 2169-2179, July.
    2. Gil, M.V. & Riaza, J. & Álvarez, L. & Pevida, C. & Pis, J.J. & Rubiera, F., 2012. "Oxy-fuel combustion kinetics and morphology of coal chars obtained in N2 and CO2 atmospheres in an entrained flow reactor," Applied Energy, Elsevier, vol. 91(1), pages 67-74.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Junghui & Chan, Lester Lik Teck & Cheng, Yi-Cheng, 2013. "Gaussian process regression based optimal design of combustion systems using flame images," Applied Energy, Elsevier, vol. 111(C), pages 153-160.
    2. Ögren, Yngve & Tóth, Pál & Garami, Attila & Sepman, Alexey & Wiinikka, Henrik, 2018. "Development of a vision-based soft sensor for estimating equivalence ratio and major species concentration in entrained flow biomass gasification reactors," Applied Energy, Elsevier, vol. 226(C), pages 450-460.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Álvarez, L. & Gharebaghi, M. & Jones, J.M. & Pourkashanian, M. & Williams, A. & Riaza, J. & Pevida, C. & Pis, J.J. & Rubiera, F., 2013. "CFD modeling of oxy-coal combustion: Prediction of burnout, volatile and NO precursors release," Applied Energy, Elsevier, vol. 104(C), pages 653-665.
    2. Yao, Xiwen & Liu, Qinghua & Kang, Zijian & An, Zhixing & Zhou, Haodong & Xu, Kaili, 2023. "Quantitative study on thermal conversion behaviours and gas emission properties of biomass in nitrogen and in CO2/N2 mixtures by TGA/DTG and a fixed-bed tube furnace," Energy, Elsevier, vol. 270(C).
    3. Xu, Mingxin & Li, Shiyuan & Wu, Yinghai & Jia, Lufei & Lu, Qinggang, 2017. "The characteristics of recycled NO reduction over char during oxy-fuel fluidized bed combustion," Applied Energy, Elsevier, vol. 190(C), pages 553-562.
    4. Xie, Candie & Liu, Jingyong & Zhang, Xiaochun & Xie, Wuming & Sun, Jian & Chang, Kenlin & Kuo, Jiahong & Xie, Wenhao & Liu, Chao & Sun, Shuiyu & Buyukada, Musa & Evrendilek, Fatih, 2018. "Co-combustion thermal conversion characteristics of textile dyeing sludge and pomelo peel using TGA and artificial neural networks," Applied Energy, Elsevier, vol. 212(C), pages 786-795.
    5. Chen, Hua & Yan, Tingting & Zhang, Xiaogang, 2020. "Burning condition recognition of rotary kiln based on spatiotemporal features of flame video," Energy, Elsevier, vol. 211(C).
    6. Fernandez-Lopez, M. & López-González, D. & Puig-Gamero, M. & Valverde, J.L. & Sanchez-Silva, L., 2016. "CO2 gasification of dairy and swine manure: A life cycle assessment approach," Renewable Energy, Elsevier, vol. 95(C), pages 552-560.
    7. Bai, Yonghui & Wang, Yulong & Zhu, Shenghua & Li, Fan & Xie, Kechang, 2014. "Structural features and gasification reactivity of coal chars formed in Ar and CO2 atmospheres at elevated pressures," Energy, Elsevier, vol. 74(C), pages 464-470.
    8. Yin, Chungen & Yan, Jinyue, 2016. "Oxy-fuel combustion of pulverized fuels: Combustion fundamentals and modeling," Applied Energy, Elsevier, vol. 162(C), pages 742-762.
    9. Gil, M.V. & Riaza, J. & Álvarez, L. & Pevida, C. & Pis, J.J. & Rubiera, F., 2012. "Kinetic models for the oxy-fuel combustion of coal and coal/biomass blend chars obtained in N2 and CO2 atmospheres," Energy, Elsevier, vol. 48(1), pages 510-518.
    10. Koziel, Sylvie & Hilber, Patrik & Westerlund, Per & Shayesteh, Ebrahim, 2021. "Investments in data quality: Evaluating impacts of faulty data on asset management in power systems," Applied Energy, Elsevier, vol. 281(C).
    11. Mostafa, Mohamed E. & He, Limo & Xu, Jun & Hu, Song & Wang, Yi & Su, Sheng & Hu, Xun & Elsayed, Saad A. & Xiang, Jun, 2019. "Investigating the effect of integrated CO2 and H2O on the reactivity and kinetics of biomass pellets oxy-steam combustion using new double parallel volumetric model (DVM)," Energy, Elsevier, vol. 179(C), pages 343-357.
    12. Zhou, Dongdong & Cheng, Shusen, 2019. "Measurement study of the PCI process on the temperature distribution in raceway zone of blast furnace by using digital imaging techniques," Energy, Elsevier, vol. 174(C), pages 814-822.
    13. González-Cencerrado, A. & Peña, B. & Gil, A., 2012. "Coal flame characterization by means of digital image processing in a semi-industrial scale PF swirl burner," Applied Energy, Elsevier, vol. 94(C), pages 375-384.
    14. Kim, Ryang-Gyoon & Hwang, Chan-Won & Jeon, Chung-Hwan, 2014. "Kinetics of coal char gasification with CO2: Impact of internal/external diffusion at high temperature and elevated pressure," Applied Energy, Elsevier, vol. 129(C), pages 299-307.
    15. Li, Shiyuan & Li, Haoyu & Li, Wei & Xu, Mingxin & Eddings, Eric G. & Ren, Qiangqiang & Lu, Qinggang, 2017. "Coal combustion emission and ash formation characteristics at high oxygen concentration in a 1MWth pilot-scale oxy-fuel circulating fluidized bed," Applied Energy, Elsevier, vol. 197(C), pages 203-211.
    16. Zhang, Wenda & Sun, Shaozeng & Zhao, Yijun & Zhao, Zujie & Wang, Pengxiang & Feng, Dongdong & Li, Pengfei, 2020. "Effects of total pressure and CO2 partial pressure on the physicochemical properties and reactivity of pressurized coal char produced at rapid heating rate," Energy, Elsevier, vol. 208(C).
    17. Gil, María V. & Riaza, Juan & Álvarez, Lucía & Pevida, Covadonga & Rubiera, Fernando, 2015. "Biomass devolatilization at high temperature under N2 and CO2: Char morphology and reactivity," Energy, Elsevier, vol. 91(C), pages 655-662.
    18. Chen, Zhichao & Qiao, Yanyu & Wu, Xiaolan & Zheng, Yu & Li, Jiawei & Yuan, Zhenhua & Li, Zhengqi, 2023. "Effect of demineralization on pyrolysis semi-coke physical and chemical characteristics and oxy-fuel combustion characteristics," Energy, Elsevier, vol. 262(PB).
    19. Tian Qiu & Minjian Liu & Guiping Zhou & Li Wang & Kai Gao, 2019. "An Unsupervised Classification Method for Flame Image of Pulverized Coal Combustion Based on Convolutional Auto-Encoder and Hidden Markov Model," Energies, MDPI, vol. 12(13), pages 1-17, July.
    20. Xu, Mingxin & Li, Shiyuan & Wu, Yinghai & Jia, Lufei, 2017. "Reduction of recycled NO over char during oxy-fuel fluidized bed combustion: Effects of operating parameters," Applied Energy, Elsevier, vol. 199(C), pages 310-322.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:94:y:2012:i:c:p:13-21. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.