Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/50951
Title: Use of neural network and multivariate statistics in the assessment of pellets produced from the exploitation of agro-industrial residues
Keywords: Residual biomass
Charcoal fines
Sugarcane bagasse
Coffee husk
Sustainable pellets
Biomassa residual
Resíduos agroindustriais
Bagaço da cana-de-açúcar
Casca de café
Issue Date: May-2022
Publisher: Springer Nature
Citation: RESENDE, D. R. et al. Use of neural network and multivariate statistics in the assessment of pellets produced from the exploitation of agro-industrial residues. Environmental Science and Pollution Research, [S.I.], v. 29, p. 71882-71893, Oct. 2022. DOI: https://doi.org/10.1007/s11356-022-20883-x.
Abstract: The production of pellets from residual biomass generated monocropping by Brazilian agribusiness is an environmentally and economically interesting alternative in view of the growing demand for clean, low-cost, and efficient energy. In this way, pellets were produced with sugarcane bagasse and coffee processing residues, in different proportions with charcoal fines, aiming to improve the energy properties and add value to the residual biomass. The pellets had their properties compared to the commercial quality standard. Artificial neural networks and multivariate statistical models were used to validate the best treatments for biofuel production. The obtained pellets presented the minimum characteristics required by DIN EN 14961–6. However, the sugarcane bagasse biomass distinguished itself for use in energy pellets, more specifically, the treatment with 20% of fine charcoal because of its higher net calorific value (17.85 MJ·kg−1) and energy density (13.30 GJ·m−3), achieving the characteristics required for type A pellets in commercial standards. The statistical techniques were efficient and grouped the treatments with similar properties, as well as validated the sugarcane biomass mixed with charcoal fines for pellet production. Thus, these results demonstrate that waste charcoal fines mixed with agro-industrial biomass have great potential to integrate the production chain for energy generation.
URI: https://doi.org/10.1007/s11356-022-20883-x
http://repositorio.ufla.br/jspui/handle/1/50951
Appears in Collections:DCF - Artigos publicados em periódicos
DQI - Artigos publicados em periódicos

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.