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Identification of different woody biomass for energy purpose by means of Soft Independent Modeling of Class Analogy applied to thermogravimetric analysis

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  • Toscano, G.
  • Duca, D.
  • Rossini, G.
  • Mengarelli, C.
  • Pizzi, A.

Abstract

In the renewable energy production solid biomass has became one of the most important source for power and heat generation, in particular woody materials in the form of wood chips, pellet and briquette. Technical standards on solid biofuels require information about origin and source of the biomass, differentiating for example between coniferous and broadleaf. In this work different wood samples were classified employing a method based on thermogravimetric analysis followed by Principal Component Analysis and Soft Independent Modeling of Class Analogy as supervised pattern recognition method.

Suggested Citation

  • Toscano, G. & Duca, D. & Rossini, G. & Mengarelli, C. & Pizzi, A., 2015. "Identification of different woody biomass for energy purpose by means of Soft Independent Modeling of Class Analogy applied to thermogravimetric analysis," Energy, Elsevier, vol. 83(C), pages 351-357.
    • Handle: RePEc:eee:energy:v:83:y:2015:i:c:p:351-357
    DOI: 10.1016/j.energy.2015.02.032
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    References listed on IDEAS

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    1. Moiseyev, Alexander & Solberg, Birger & Kallio, A. Maarit I., 2014. "The impact of subsidies and carbon pricing on the wood biomass use for energy in the EU," Energy, Elsevier, vol. 76(C), pages 161-167.
    2. Toscano, G. & Duca, D. & Amato, A. & Pizzi, A., 2014. "Emission from realistic utilization of wood pellet stove," Energy, Elsevier, vol. 68(C), pages 644-650.
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    2. Liu, Hao & Li, Mi & Zhao, Shuna & Mensah, Rhoda Afriyie & Das, Oisik & Jiang, Lin & Xu, Qiang, 2023. "Insights into wood species and aging effects on pyrolysis characteristics and combustion model by multi kinetics methods and model constructions," Renewable Energy, Elsevier, vol. 206(C), pages 784-794.
    3. Tang, Yong & Chen, Yulin & He, Youwei & Yu, Guangming & Guo, Xifeng & Yang, Qing & Wang, Yong, 2021. "An improved system for evaluating the adaptability of natural gas flooding in enhancing oil recovery considering the miscible ability," Energy, Elsevier, vol. 236(C).
    4. Duca, D. & Mancini, M. & Rossini, G. & Mengarelli, C. & Foppa Pedretti, E. & Toscano, G. & Pizzi, A., 2016. "Soft Independent Modelling of Class Analogy applied to infrared spectroscopy for rapid discrimination between hardwood and softwood," Energy, Elsevier, vol. 117(P1), pages 251-258.

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