Quality Assessment and Classification of Feedstock for Bioenergy Applications Considering ISO 17225 Standard on Solid Biofuels

Giuseppe Toscano, Carmine De Francesco, Thomas Gasperini, Sara Fabrizi, Daniele Duca and Alessio Ilari ()
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Giuseppe Toscano: Department of Agricultural, Food and Environmental Sciences, Università Politecnica Delle Marche, 60131 Ancona, Italy
Carmine De Francesco: Department of Agricultural, Food and Environmental Sciences, Università Politecnica Delle Marche, 60131 Ancona, Italy
Thomas Gasperini: Department of Agricultural, Food and Environmental Sciences, Università Politecnica Delle Marche, 60131 Ancona, Italy
Sara Fabrizi: Department of Agricultural, Food and Environmental Sciences, Università Politecnica Delle Marche, 60131 Ancona, Italy
Daniele Duca: Department of Agricultural, Food and Environmental Sciences, Università Politecnica Delle Marche, 60131 Ancona, Italy
Alessio Ilari: Department of Agricultural, Food and Environmental Sciences, Università Politecnica Delle Marche, 60131 Ancona, Italy

Resources, 2023, vol. 12, issue 6, 1-22

Abstract: Biomass materials play a key role in the renewable energy market as they can serve as a suitable alternative to fossil fuels. However, the quality of the material entering bioenergy plants is often a cause of technical concern. Biomass quality assessment is crucial not only for energy characterization but also for environmental and operational aspects. The goal of this study is to characterize and classify the biomasses used by Italian power plants with reference to the quality classes stated by the ISO standard 17225:2021. A further objective is to verify the ability of the standard to classify heterogeneous and specific biomasses. In this study, more than 900 biomass samples were analyzed. The samples were collected from several Italian power plants with >5 MWe between 2010 and 2020, and the most important physical and chemical parameters were analyzed according to the international standards of reference. The results of the analyses were collected in a large dataset used for subsequent statistical analyses. Statistical analyses applied are Principal Component Analysis and Pearson correlation maps, which showed that the ash content is a fundamental and ideal parameter to assess the biomass quality. Results obtained demonstrate that herbaceous biomasses are of low quality mainly due to the high ash content; a relatively low ash content was found for woody biomasses.

Keywords: biomass; bioenergy; wood; biofuels; origin; herbaceous biomass; fruit biomass; woody biomass; crop residues; power plants (search for similar items in EconPapers)
JEL-codes: Q1 Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2023
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