Energy Conversion and Management, volume 296, pages 117676
Fast pyrolysis simulation via kinetic approach and multivariate analysis to assess the effect of biomass properties on product yields, properties, and pyrolyzer performance
Motta Ingrid Lopes
1
,
Marchesan Andressa Neves
2
,
Real Guimarães Henrique
3, 4
,
Chagas Matheus Ferreira
3
,
Bonomi Antonio
3
,
Maciel Maria Regina Wolf
2
,
Maciel Filho Rubens
2
1
School of Mechanical Engineering, University of Campinas, R. Mendeleyev 200, Campinas, 13083-860, Brazil
|
2
School of Chemical Engineering, University of Campinas, Av. Albert Einstein 500, Campinas 13083-852, Brazil
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3
Brazilian Biorenewables National Laboratory, Brazilian Center for Research in Energy and Materials, R. Giuseppe Máximo Scolfaro, 10000, Campinas 13083-970, Brazil
|
4
School of Food Engineering, University of Campinas, Rua Monteiro Lobato 80, Campinas 13083-862, Brazil
|
Publication type: Journal Article
Publication date: 2023-11-01
Journal:
Energy Conversion and Management
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor: 10.4
ISSN: 01968904
Energy Engineering and Power Technology
Fuel Technology
Nuclear Energy and Engineering
Renewable Energy, Sustainability and the Environment
Abstract
Fast pyrolysis (FP) is the thermochemical conversion of biomasses and other carbonaceous materials into bio-oil (liquid), char (solid), and gas products to be used to generate heat, power, chemicals, and fuels of lower greenhouse gas emissions. Considering biomass properties highly affect the FP performance, this work used simulation and multivariate analysis tools to assess the effect of the composition of nine Brazilian biomasses on the FP energy demands, product yields, and bio-oil properties. A simulation, representing a pyrolyzer (480 °C, 1-s residence time), product recovery, and char combustion to meet FP energy demands, was built in Aspen Plus v.10 and validated against experimental data. A dataset correlating biomass compositions from 60 sources and FP outputs was obtained and analyzed, via two statistical methods, to detect similarities between feedstocks and correlate biomass inputs and process outputs. Hierarchical cluster analysis (HCA) separated the feedstocks into two main clusters: agricultural and woody biomasses. The main differences were associated with agricultural feedstocks having higher biomass H/C ratios, lower carbon and volatiles contents, and being of the CHL type (cellulose > hemicellulose > lignin), resulting in lower char and higher gas yields. As for correlations between inputs and outputs, HCA and principal component analysis (PCA) divided the parameters into five main groups: (i) biomass O/C ratio and cellulose content; (ii) bio-oil yield, heating value, and extractives content; (iii) biomass H/C ratio, hemicellulose content, and bio-oil quality metrics; (iv) ash content, char yield, and pyrolyzer heat duty; and (v) biomass lignin, volatiles, and heating value with gas yield and heating value. Several anticorrelations were also detected (e.g., bio-oil yield anticorrelated to bio-oil properties; char yield anticorrelated to gas yield). This work hopes to serve as a simplified roadmap for relationships between biomass properties and FP performance, providing guidelines for biomass selection for different bio-oil downstream applications and perspectives on future works on FP simulation.
Citations by journals
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Energy Conversion and Management
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Energy Conversion and Management
1 publication, 100%
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Citations by publishers
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Elsevier
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Elsevier
1 publication, 100%
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Motta I. L. et al. Fast pyrolysis simulation via kinetic approach and multivariate analysis to assess the effect of biomass properties on product yields, properties, and pyrolyzer performance // Energy Conversion and Management. 2023. Vol. 296. p. 117676.
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Motta I. L., Marchesan A. N., Real Guimarães H., Chagas M. F., Bonomi A., Maciel M. R. W., Maciel Filho R. Fast pyrolysis simulation via kinetic approach and multivariate analysis to assess the effect of biomass properties on product yields, properties, and pyrolyzer performance // Energy Conversion and Management. 2023. Vol. 296. p. 117676.
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TY - JOUR
DO - 10.1016/j.enconman.2023.117676
UR - https://doi.org/10.1016%2Fj.enconman.2023.117676
TI - Fast pyrolysis simulation via kinetic approach and multivariate analysis to assess the effect of biomass properties on product yields, properties, and pyrolyzer performance
T2 - Energy Conversion and Management
AU - Motta, Ingrid Lopes
AU - Marchesan, Andressa Neves
AU - Real Guimarães, Henrique
AU - Chagas, Matheus Ferreira
AU - Bonomi, Antonio
AU - Maciel, Maria Regina Wolf
AU - Maciel Filho, Rubens
PY - 2023
DA - 2023/11/01 00:00:00
PB - Elsevier
SP - 117676
VL - 296
SN - 0196-8904
ER -
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@article{2023_Motta,
author = {Ingrid Lopes Motta and Andressa Neves Marchesan and Henrique Real Guimarães and Matheus Ferreira Chagas and Antonio Bonomi and Maria Regina Wolf Maciel and Rubens Maciel Filho},
title = {Fast pyrolysis simulation via kinetic approach and multivariate analysis to assess the effect of biomass properties on product yields, properties, and pyrolyzer performance},
journal = {Energy Conversion and Management},
year = {2023},
volume = {296},
publisher = {Elsevier},
month = {nov},
url = {https://doi.org/10.1016%2Fj.enconman.2023.117676},
pages = {117676},
doi = {10.1016/j.enconman.2023.117676}
}