Prediction of regional agro-industrial wastes characteristics by thermogravimetric analysis to obtain bioenergy using thermal process

The use of energy from biomass is becoming more common worldwide. This energy source has several benefits that promote its acceptance; it is bio-renewable, non-toxic and biodegradable. To predict its behavior as a fuel during thermal treatment, its characterization is necessary. The experimental det...

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Main Authors: Alejandra Saffe, Anabel Fernandez, Germán Mazza, Rosa Rodriguez
Format: Article
Language:English
Published: SAGE Publishing 2019-01-01
Series:Energy Exploration & Exploitation
Online Access:https://doi.org/10.1177/0144598718793908
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author Alejandra Saffe
Anabel Fernandez
Germán Mazza
Rosa Rodriguez
author_facet Alejandra Saffe
Anabel Fernandez
Germán Mazza
Rosa Rodriguez
author_sort Alejandra Saffe
collection DOAJ
description The use of energy from biomass is becoming more common worldwide. This energy source has several benefits that promote its acceptance; it is bio-renewable, non-toxic and biodegradable. To predict its behavior as a fuel during thermal treatment, its characterization is necessary. The experimental determination of ultimate analysis data requires special instrumentation, while proximate analysis data can be obtained easily by using common equipment but, the required time is high. In this work, a methodology is applied based on thermogravimetric analysis, curves deconvolution and empirical correlations for characterizing different regional agro-industrial wastes to determine the high heating value, the contents of moisture, volatiles matter, fixed carbon, ash, carbon, hydrogen, oxygen, lignin, cellulose and hemicellulose. The obtained results are similar to those using standard techniques, showing the accuracy of proposed method and its wide application range. This methodology allows to determine the main parameters required for industrial operation in only in one step, saving time.
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spelling doaj.art-5431a630f8e04898a635af061b5705932022-12-22T02:26:57ZengSAGE PublishingEnergy Exploration & Exploitation0144-59872048-40542019-01-013710.1177/0144598718793908Prediction of regional agro-industrial wastes characteristics by thermogravimetric analysis to obtain bioenergy using thermal processAlejandra SaffeAnabel FernandezGermán MazzaRosa RodriguezThe use of energy from biomass is becoming more common worldwide. This energy source has several benefits that promote its acceptance; it is bio-renewable, non-toxic and biodegradable. To predict its behavior as a fuel during thermal treatment, its characterization is necessary. The experimental determination of ultimate analysis data requires special instrumentation, while proximate analysis data can be obtained easily by using common equipment but, the required time is high. In this work, a methodology is applied based on thermogravimetric analysis, curves deconvolution and empirical correlations for characterizing different regional agro-industrial wastes to determine the high heating value, the contents of moisture, volatiles matter, fixed carbon, ash, carbon, hydrogen, oxygen, lignin, cellulose and hemicellulose. The obtained results are similar to those using standard techniques, showing the accuracy of proposed method and its wide application range. This methodology allows to determine the main parameters required for industrial operation in only in one step, saving time.https://doi.org/10.1177/0144598718793908
spellingShingle Alejandra Saffe
Anabel Fernandez
Germán Mazza
Rosa Rodriguez
Prediction of regional agro-industrial wastes characteristics by thermogravimetric analysis to obtain bioenergy using thermal process
Energy Exploration & Exploitation
title Prediction of regional agro-industrial wastes characteristics by thermogravimetric analysis to obtain bioenergy using thermal process
title_full Prediction of regional agro-industrial wastes characteristics by thermogravimetric analysis to obtain bioenergy using thermal process
title_fullStr Prediction of regional agro-industrial wastes characteristics by thermogravimetric analysis to obtain bioenergy using thermal process
title_full_unstemmed Prediction of regional agro-industrial wastes characteristics by thermogravimetric analysis to obtain bioenergy using thermal process
title_short Prediction of regional agro-industrial wastes characteristics by thermogravimetric analysis to obtain bioenergy using thermal process
title_sort prediction of regional agro industrial wastes characteristics by thermogravimetric analysis to obtain bioenergy using thermal process
url https://doi.org/10.1177/0144598718793908
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AT germanmazza predictionofregionalagroindustrialwastescharacteristicsbythermogravimetricanalysistoobtainbioenergyusingthermalprocess
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