IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i11p3097-d181651.html
   My bibliography  Save this article

Total Suspended Particle Emissions Modelling in an Industrial Boiler

Author

Listed:
  • Guillermo Ronquillo-Lomeli

    (Department of Energy, Center for Engineering and Industrial Development, Santiago de Querétaro 76125, México)

  • Gilberto Herrera-Ruiz

    (Faculty of Engineering, Autonomous University of Queretaro, Santiago de Querétaro 76010, México)

  • José Gabriel Ríos-Moreno

    (Faculty of Engineering, Autonomous University of Queretaro, Santiago de Querétaro 76010, México)

  • Irving Alfredo Alejandro Ramirez-Maya

    (Department of Energy, Center for Engineering and Industrial Development, Santiago de Querétaro 76125, México)

  • Mario Trejo-Perea

    (Faculty of Engineering, Autonomous University of Queretaro, Santiago de Querétaro 76010, México)

Abstract

Particulate matter emission into the atmosphere is a massive-scale problem. Fossil fuel combustion is an important source of this kind of pollution. The knowledge of total suspended particle (TSP) emissions is the first step for TSP control. The formation of TSP emissions is poorly understood; therefore new approaches for TSP emissions source modelling are required. TSP modelling is a multi-variable non-linear problem that would only require basic information on boiler operation. This work reports the development of a non-linear model for TSP emissions estimation from an industrial boiler based on a one-layer neural network. Expansion polynomial basic functions combined with an orthogonal least-square and model structure selection approach were used for modelling. The model required five independent boiler variables for TSP emissions estimation. Data from the data acquisition system of a 350 MW industrial boiler were used for model development and validation. The results show that polynomial expansion basic functions are an excellent approach to solve modelling problems related to complex non-linear systems in the industry.

Suggested Citation

  • Guillermo Ronquillo-Lomeli & Gilberto Herrera-Ruiz & José Gabriel Ríos-Moreno & Irving Alfredo Alejandro Ramirez-Maya & Mario Trejo-Perea, 2018. "Total Suspended Particle Emissions Modelling in an Industrial Boiler," Energies, MDPI, vol. 11(11), pages 1-17, November.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:11:p:3097-:d:181651
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/11/3097/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/11/3097/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aragón, Fernando M. & Miranda, Juan Jose & Oliva, Paulina, 2017. "Particulate matter and labor supply: The role of caregiving and non-linearities," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 295-309.
    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. Damilola Elizabeth Babatunde & Ambrose Anozie & James Omoleye, 2020. "Artificial Neural Network and its Applications in the Energy Sector An Overview," International Journal of Energy Economics and Policy, Econjournals, vol. 10(2), pages 250-264.
    2. Anastasios Dounis, 2019. "Special Issue “Intelligent Control in Energy Systems”," Energies, MDPI, vol. 12(15), pages 1-9, August.

    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. Liu, Haoming & Salvo, Alberto, 2017. "Severe Air Pollution and School Absences: Longitudinal Data on Expatriates in North China," IZA Discussion Papers 11134, Institute of Labor Economics (IZA).
    2. Bracht, Felix & Verhoeven, Dennis, 2021. "Air pollution and innovation," LSE Research Online Documents on Economics 113818, London School of Economics and Political Science, LSE Library.
    3. Fubiao Zhu & Delin Zhuang & Shengwu Jin & Lingling Gao & Rui Chen, 2022. "Effects of air pollution on regional innovation and the mediator role of health: Evidence from China," Growth and Change, Wiley Blackwell, vol. 53(2), pages 628-650, June.
    4. Szymon Hoffman & Mariusz Filak & Rafał Jasiński, 2022. "Air Quality Modeling with the Use of Regression Neural Networks," IJERPH, MDPI, vol. 19(24), pages 1-33, December.
    5. Luis Sarmiento, 2020. "Waiting for My Sentence: Air Pollution and the Productivity of Court Rulings," Discussion Papers of DIW Berlin 1878, DIW Berlin, German Institute for Economic Research.
    6. Sandra Aguilar-Gomez & Nathaly M. Rivera, 2024. "Air Pollution in the Global South: An Overview of Its Sources and Impacts," Working Papers wp561, University of Chile, Department of Economics.
    7. Luis Sarmiento, 2022. "Air pollution and the productivity of high‐skill labor: evidence from court hearings," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(1), pages 301-332, January.
    8. Àlex Boso & Boris Álvarez & Christian Oltra & Jaime Garrido & Carlos Muñoz & Germán Galvez-García, 2020. "The Grass Is Always Greener on My Side: A Field Experiment Examining the Home Halo Effect," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    9. Mingying Zhu & Anthony Heyes, 2024. "Dreaming of Blue Skies: Evidence on Air Pollution and the Mobility Aspirations of Young People in Beijing from Online Search Behavior," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(11), pages 2889-2933, November.
    10. Felix Holub & Laura Hospido & Ulrich J. Wagner, 2020. "Urban air pollution and sick leaves: evidence from social security data," Working Papers 2041, Banco de España.
    11. Clara Kögel, 2022. "The impact of air pollution on labour productivity in France," Documents de travail du Centre d'Economie de la Sorbonne 22020, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    12. Damini Singh & Indrani Gupta & Sagnik Dey, 2022. "Effect of Air Pollution on Cognitive Performance in India," IEG Working Papers 452, Institute of Economic Growth.
    13. Mark Borgschulte & David Molitor & Eric Yongchen Zou, 2024. "Air Pollution and the Labor Market: Evidence from Wildfire Smoke," The Review of Economics and Statistics, MIT Press, vol. 106(6), pages 1558-1575, November.
    14. Bellani, Luna & Ceolotto, Stefano & Elsner, Benjamin & Pestel, Nico, 2021. "Air Pollution Affects Decision-Making: Evidence from the Ballot Box," IZA Discussion Papers 14718, Institute of Labor Economics (IZA).
    15. Singh, Tejendra Pratap & Visaria, Sujata, 2021. "Up in the Air: Air Pollution and Crime – Evidence from India," SocArXiv hs4xj, Center for Open Science.
    16. Matsuki, Takashi & Pan, Lei, 2021. "Per capita carbon emissions convergence in developing Asia: A century of evidence from covariate unit root test with endogenous structural breaks," Energy Economics, Elsevier, vol. 99(C).
    17. Klingen, Joris & van Ommeren, Jos, 2020. "Urban air pollution and time losses: Evidence from cyclists in London," Regional Science and Urban Economics, Elsevier, vol. 81(C).
    18. Fu, Shihe & Viard, V. Brian & Zhang, Peng, 2022. "Trans-boundary air pollution spillovers: Physical transport and economic costs by distance," Journal of Development Economics, Elsevier, vol. 155(C).
    19. Kam C. Chan & Tao Chen & Baohua Liu & Junfeng Wu, 2022. "Air pollution and CEO compensation: Evidence from China," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(2), pages 448-469, April.
    20. Avila Uribe, Antonio, 2023. "The effect of air pollution on US aggregate production," LSE Research Online Documents on Economics 118481, London School of Economics and Political Science, LSE Library.

    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:gam:jeners:v:11:y:2018:i:11:p:3097-:d:181651. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.