Simulation of Storage Conditions of Mixed Biomass Pellets for Bioenergy Generation: Study of the Thermodynamic Properties

Experimental and mathematical modeling of the moisture sorption isotherms for biomass pellets during storage is performed in this study. The tested pellets are a mixture of 50% wood: spruce or pine, and 50% switchgrass agricultural biomass. Storage conditions, i.e., temperature and humidity, are tes...

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Main Authors: Lyes Bennamoun, Merlin Simo-Tagne, Macmanus Chinenye Ndukwu
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/10/2544
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author Lyes Bennamoun
Merlin Simo-Tagne
Macmanus Chinenye Ndukwu
author_facet Lyes Bennamoun
Merlin Simo-Tagne
Macmanus Chinenye Ndukwu
author_sort Lyes Bennamoun
collection DOAJ
description Experimental and mathematical modeling of the moisture sorption isotherms for biomass pellets during storage is performed in this study. The tested pellets are a mixture of 50% wood: spruce or pine, and 50% switchgrass agricultural biomass. Storage conditions, i.e., temperature and humidity, are tested by varying the environment conditions in a conditioning chamber. The experimental results show that the moisture sorption isotherms are not affected by the temperature. Nevertheless, the equilibrium moisture content depends on the kind of the tested pellets. Mathematical modeling of the experimental isotherms is performed using four common models: the Oswin, GAB, Henderson and Peleg models. The Oswin model is defined as the most appropriate model to predict the moisture sorption isotherms of the spruce–switchgrass pellets. It presents a coefficient of determination equal to 0.998, a standard error around 0.049 and a chi-square approaching 0.007. On the other hand, Henderson and GAB models show the best results for pine–switchgrass pellets, with a coefficient of determination varying between 0.998 and 0.997, a standard error range 0.054–0.065 and chi-square error between 0.008 and 0.009. The thermodynamic properties, which include the net isosteric of heat and the entropy changes of sorption, are also determined for all tested samples.
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spelling doaj.art-d04e439927334ea3a57d0dfd8f8e1cab2023-11-20T00:46:29ZengMDPI AGEnergies1996-10732020-05-011310254410.3390/en13102544Simulation of Storage Conditions of Mixed Biomass Pellets for Bioenergy Generation: Study of the Thermodynamic PropertiesLyes Bennamoun0Merlin Simo-Tagne1Macmanus Chinenye Ndukwu2Department of Mechanical Engineering, University of New Brunswick, Fredericton, NB E3B 5A3, CanadaNancy-Metz Academy, 54035, 2 rue Philippe de Gueldres, 54000 Nancy, FranceDepartment of Agricultural and Bioresources Engineering, Michael Okpara University of Agriculture, Umudike, P.M.B 7267 Umuahia, Abia State, NigeriaExperimental and mathematical modeling of the moisture sorption isotherms for biomass pellets during storage is performed in this study. The tested pellets are a mixture of 50% wood: spruce or pine, and 50% switchgrass agricultural biomass. Storage conditions, i.e., temperature and humidity, are tested by varying the environment conditions in a conditioning chamber. The experimental results show that the moisture sorption isotherms are not affected by the temperature. Nevertheless, the equilibrium moisture content depends on the kind of the tested pellets. Mathematical modeling of the experimental isotherms is performed using four common models: the Oswin, GAB, Henderson and Peleg models. The Oswin model is defined as the most appropriate model to predict the moisture sorption isotherms of the spruce–switchgrass pellets. It presents a coefficient of determination equal to 0.998, a standard error around 0.049 and a chi-square approaching 0.007. On the other hand, Henderson and GAB models show the best results for pine–switchgrass pellets, with a coefficient of determination varying between 0.998 and 0.997, a standard error range 0.054–0.065 and chi-square error between 0.008 and 0.009. The thermodynamic properties, which include the net isosteric of heat and the entropy changes of sorption, are also determined for all tested samples.https://www.mdpi.com/1996-1073/13/10/2544sorption isothermswoody biomassagricultural wastemathematical modelingthermodynamic propertiesenthalpy-entropy compensation theory
spellingShingle Lyes Bennamoun
Merlin Simo-Tagne
Macmanus Chinenye Ndukwu
Simulation of Storage Conditions of Mixed Biomass Pellets for Bioenergy Generation: Study of the Thermodynamic Properties
Energies
sorption isotherms
woody biomass
agricultural waste
mathematical modeling
thermodynamic properties
enthalpy-entropy compensation theory
title Simulation of Storage Conditions of Mixed Biomass Pellets for Bioenergy Generation: Study of the Thermodynamic Properties
title_full Simulation of Storage Conditions of Mixed Biomass Pellets for Bioenergy Generation: Study of the Thermodynamic Properties
title_fullStr Simulation of Storage Conditions of Mixed Biomass Pellets for Bioenergy Generation: Study of the Thermodynamic Properties
title_full_unstemmed Simulation of Storage Conditions of Mixed Biomass Pellets for Bioenergy Generation: Study of the Thermodynamic Properties
title_short Simulation of Storage Conditions of Mixed Biomass Pellets for Bioenergy Generation: Study of the Thermodynamic Properties
title_sort simulation of storage conditions of mixed biomass pellets for bioenergy generation study of the thermodynamic properties
topic sorption isotherms
woody biomass
agricultural waste
mathematical modeling
thermodynamic properties
enthalpy-entropy compensation theory
url https://www.mdpi.com/1996-1073/13/10/2544
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