IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v228y2021ics0360544221007866.html
   My bibliography  Save this article

Integrated mathematical modelling of a 105 t/h biomass fired industrial watertube boiler system with varying fuel moisture content

Author

Listed:
  • Laubscher, Ryno
  • De Villiers, Etienne

Abstract

In this paper, a steady-state 1D computer model of a complete sugarcane bagasse-fired boiler system is presented, which pays special attention to the different heat transfer phenomena encountered in the boiler heat exchangers. The model solves the mass, momentum and energy balance equations for water, flue gas and air streams in an integrated manner which utilizes fundamental equations and empirical correlations for pressure drop, radiative heat transfer and convection. The integrated model is successfully applied to model a 105 t/h industrial watertube boiler at three different load cases namely 100 t/h, 65 t/h and 35 t/h. The model results are validated using typical plant measurements. The mean relative predicted gas temperature errors are 1.47%, 0.58% and 4.84% respectively for the different load cases simulated, and for the water circuit temperature predictions the mean errors are 1.48%, 0.85% and 5.31% respectively. Additionally, a sensitivity analysis is performed on the integrated model, which investigates the influence of selected modelling parameters such as flame height on key boiler output variables such as the furnace exit gas temperature.

Suggested Citation

  • Laubscher, Ryno & De Villiers, Etienne, 2021. "Integrated mathematical modelling of a 105 t/h biomass fired industrial watertube boiler system with varying fuel moisture content," Energy, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:energy:v:228:y:2021:i:c:s0360544221007866
    DOI: 10.1016/j.energy.2021.120537
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221007866
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.120537?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. Singh, Omendra Kumar, 2019. "Exergy analysis of a grid-connected bagasse-based cogeneration plant of sugar factory and exhaust heat utilization for running a cold storage," Renewable Energy, Elsevier, vol. 143(C), pages 149-163.
    2. Yin, Chungen & Rosendahl, Lasse & Clausen, Sønnik & Hvid, Søren L., 2012. "Characterizing and modeling of an 88 MW grate-fired boiler burning wheat straw: Experience and lessons," Energy, Elsevier, vol. 41(1), pages 473-482.
    3. Trojan, Marcin, 2019. "Modeling of a steam boiler operation using the boiler nonlinear mathematical model," Energy, Elsevier, vol. 175(C), pages 1194-1208.
    4. Zadravec, Tomas & Yin, Chungen & Kokalj, Filip & Samec, Niko & Rajh, Boštjan, 2020. "The impacts of different profiles of the grate inlet conditions on freeboard CFD in a waste wood-fired grate boiler," Applied Energy, Elsevier, vol. 268(C).
    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. Zixue Luo & Zixuan Feng & Bo Wu & Qiang Cheng, 2022. "Decoupling Investigation of Furnace Side and Evaporation System in a Pulverized-Coal Oxy-Fuel Combustion Boiler," Energies, MDPI, vol. 15(7), pages 1-12, March.

    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. Garbacz, Przemysław & Wejkowski, Robert, 2020. "Numerical research on the SNCR method in a grate boiler equipped with the innovative FJBS system," Energy, Elsevier, vol. 207(C).
    2. Majdak, Marek & Grądziel, Sławomir, 2020. "Influence of thermal and flow conditions on the thermal stresses distribution in the evaporator tubes," Energy, Elsevier, vol. 209(C).
    3. Pei Li & Ting Bao & Jian Guan & Zifu Shi & Zengxiao Xie & Yonggang Zhou & Wei Zhong, 2023. "Computational Analysis of Tube Wall Temperature of Superheater in 1000 MW Ultra-Supercritical Boiler Based on the Inlet Thermal Deviation," Energies, MDPI, vol. 16(3), pages 1-15, February.
    4. Álvarez-Bermúdez, César & Anca-Couce, Andrés & Chapela, Sergio & Scharler, Robert & Buchmayr, Markus & Gómez, Miguel Ángel & Porteiro, Jacobo, 2023. "Validation of a biomass conversion mechanism by Eulerian modelling of a fixed-bed system under low primary air conditions," Renewable Energy, Elsevier, vol. 215(C).
    5. Ren, Qiangqiang & Zhao, Changsui, 2015. "Evolution of fuel-N in gas phase during biomass pyrolysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 408-418.
    6. Huang, Y.W. & Chen, M.Q. & Li, Y. & Guo, J., 2016. "Modeling of chemical exergy of agricultural biomass using improved general regression neural network," Energy, Elsevier, vol. 114(C), pages 1164-1175.
    7. Taler, Jan & Trojan, Marcin & Dzierwa, Piotr & Kaczmarski, Karol & Węglowski, Bohdan & Taler, Dawid & Zima, Wiesław & Grądziel, Sławomir & Ocłoń, Paweł & Sobota, Tomasz & Rerak, Monika & Jaremkiewicz,, 2023. "The flexible boiler operation in a wide range of load changes with considering the strength and environmental restrictions," Energy, Elsevier, vol. 263(PB).
    8. Hernik, Bartłomiej, 2015. "Numerical calculations of the WR-40 boiler with a furnace jet boiler system," Energy, Elsevier, vol. 92(P1), pages 54-66.
    9. Jia, Xiongjie & Sang, Yichen & Li, Yanjun & Du, Wei & Zhang, Guolei, 2022. "Short-term forecasting for supercharged boiler safety performance based on advanced data-driven modelling framework," Energy, Elsevier, vol. 239(PE).
    10. Trojan, Marcin & Taler, Jan & Smaza, Krzysztof & Wróbel, Wojciech & Dzierwa, Piotr & Taler, Dawid & Kaczmarski, Karol, 2022. "A new software program for monitoring the energy distribution in a thermal waste treatment plant system," Renewable Energy, Elsevier, vol. 184(C), pages 1055-1073.
    11. Wójtowicz-Wróbel, Agnieszka & Kania, Olga & Kocewiak, Katarzyna & Wójtowicz, Ryszard & Dzierwa, Piotr & Trojan, Marcin, 2023. "Thermal-flow calculations for a thermal waste treatment plant and CFD modelling of the spread of gases in the context of urban structures," Energy, Elsevier, vol. 263(PD).
    12. Wei, Zhongbao & Li, Xiaolu & Xu, Lijun & Cheng, Yanting, 2013. "Comparative study of computational intelligence approaches for NOx reduction of coal-fired boiler," Energy, Elsevier, vol. 55(C), pages 683-692.
    13. Laubscher, Ryno, 2019. "Time-series forecasting of coal-fired power plant reheater metal temperatures using encoder-decoder recurrent neural networks," Energy, Elsevier, vol. 189(C).
    14. Nawaz, Zanib & Ali, Usman, 2020. "Techno-economic evaluation of different operating scenarios for indigenous and imported coal blends and biomass co-firing on supercritical coal fired power plant performance," Energy, Elsevier, vol. 212(C).
    15. Chantasiriwan, Somchart, 2021. "Optimum installation of flue gas dryer and additional air heater to increase the efficiency of coal-fired utility boiler," Energy, Elsevier, vol. 221(C).
    16. Granda, Mariusz & Trojan, Marcin & Taler, Dawid, 2020. "CFD analysis of steam superheater operation in steady and transient state," Energy, Elsevier, vol. 199(C).
    17. Konstantin Osintsev & Sergei Aliukov & Sulpan Kuskarbekova, 2021. "Development of Methodological Bases of the Processes of Steam Formation in Coil Type Boilers Using Solar Concentrators," Energies, MDPI, vol. 14(8), pages 1-22, April.
    18. Mohammad Hosseini Rahdar & Fuzhan Nasiri, 2020. "Operation Adaptation of Moving Bed Biomass Combustors under Various Waste Fuel Conditions," Energies, MDPI, vol. 13(23), pages 1-18, December.
    19. Mingtao Jiang & Adrian C. H. Lai & Adrian Wing-Keung Law, 2020. "Solid Waste Incineration Modelling for Advanced Moving Grate Incinerators," Sustainability, MDPI, vol. 12(19), pages 1-15, September.
    20. Tu, Yaojie & Zhou, Anqi & Xu, Mingchen & Yang, Wenming & Siah, Keng Boon & Subbaiah, Prabakaran, 2018. "NOX reduction in a 40 t/h biomass fired grate boiler using internal flue gas recirculation technology," Applied Energy, Elsevier, vol. 220(C), pages 962-973.

    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:energy:v:228:y:2021:i:c:s0360544221007866. 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.journals.elsevier.com/energy .

    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.