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The Use of Multivariate Data Analysis (HCA and PCA) to Characterize Ashes from Biomass Combustion

Author

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  • Małgorzata Szczepanik

    (Department of Applied Mathematics and Computer Science, Faculty of Production Engineering, University of Life Sciences in Lublin, Głeboka 28, 20-612 Lublin, Poland)

  • Joanna Szyszlak-Bargłowicz

    (Department of Power Engineering and Transportation, Faculty of Production Engineering, University of Life Sciences in Lublin, Głeboka 28, 20-612 Lublin, Poland)

  • Grzegorz Zając

    (Department of Power Engineering and Transportation, Faculty of Production Engineering, University of Life Sciences in Lublin, Głeboka 28, 20-612 Lublin, Poland)

  • Adam Koniuszy

    (Department of Renewable Energy Engineering, West Pomeranian University of Technology, Papieża Pawła VI 1, 71-459 Szczecin, Poland)

  • Małgorzata Hawrot-Paw

    (Department of Renewable Energy Engineering, West Pomeranian University of Technology, Papieża Pawła VI 1, 71-459 Szczecin, Poland)

  • Artur Wolak

    (Department of Quality and Safety of Industrial Products, Institute of Quality and Product Management Sciences, Cracow University of Economics, Rakowicka 27, 31-510 Kraków, Poland)

Abstract

The content of heavy metals Cd, Cr, Cu, Fe, Ni, Pb and Zn in ash samples from miscanthus, oak, pine, sunflower husk, wheat straw, and willow ashes burned at 500, 600, 700, 800, 900, and 1000 °C, respectively, was determined. The statistical analysis of the results was based on multivariate methods: hierarchical cluster analysis (HCA), and principal component analysis (PCA), which made it possible to classify the raw materials ashed at different temperatures into the most similar groups, and to study the structure of data variability. Using PCA, three principal components were extracted, which explain more than 88% of the variability of the studied elements. Therefore, it can be concluded that the application of multivariate statistical techniques to the analysis of the results of the study of heavy metal content allowed us to draw conclusions about the influence of biomass properties on its chemical characteristics during combustion.

Suggested Citation

  • Małgorzata Szczepanik & Joanna Szyszlak-Bargłowicz & Grzegorz Zając & Adam Koniuszy & Małgorzata Hawrot-Paw & Artur Wolak, 2021. "The Use of Multivariate Data Analysis (HCA and PCA) to Characterize Ashes from Biomass Combustion," Energies, MDPI, vol. 14(21), pages 1-9, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:6887-:d:661081
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    References listed on IDEAS

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    2. Juan Carlos Contreras-Trejo & Daniel José Vega-Nieva & Maginot Ngangyo Heya & José Angel Prieto-Ruíz & Cynthya Adriana Nava-Berúmen & Artemio Carrillo-Parra, 2022. "Sintering and Fusibility Risks of Pellet Ash from Different Sources at Different Combustion Temperatures," Energies, MDPI, vol. 15(14), pages 1-18, July.

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