Property enhancement of mustard stalk biomass by Torrefaction: Characterization and optimization of process parameters using response surface methodology
Present work is devoted to the study of independent operating parameters namely torrefaction temperature (TT), residence (torrefaction) time (RT), and heating rate (HR) on the slow pyrolysis or torrefaction of an important agro residue namely mustard stalk (MS). Response surface methodology along wi...
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KeAi Communications Co., Ltd.
2021
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oai:doaj.org-article:7e14afb532ed44c7a39874c9283da2a12021-11-30T04:17:09ZProperty enhancement of mustard stalk biomass by Torrefaction: Characterization and optimization of process parameters using response surface methodology2589-299110.1016/j.mset.2021.08.002https://doaj.org/article/7e14afb532ed44c7a39874c9283da2a12021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S258929912100029Xhttps://doaj.org/toc/2589-2991Present work is devoted to the study of independent operating parameters namely torrefaction temperature (TT), residence (torrefaction) time (RT), and heating rate (HR) on the slow pyrolysis or torrefaction of an important agro residue namely mustard stalk (MS). Response surface methodology along with three-factor and three-level Box-Behnken design is applied to find the effect of above mentioned three parameters on the higher heating value, energy yield, and fixed carbon of the torrefied MS. Experimentation and modeling analysis reveal that the effect of these three factors' responses follows the sequence: (TT) > (RT) > (HR). Also, the experimental data were analyzed using analysis of variance and fitted to a second-order polynomial model applying multiple regression analysis. Predictive models were obtained which were able to satisfactorily fit the experimental data, with the coefficient of determination (R2) values higher than 0.95. Derringer’s desirability function methodology was used for the optimization study which showed that the HHV, EY, and FC at optimum condition TT 300 °C, RT 20 min, HR 5 °C/min were obtained as 21.26 MJ/kg, 81.26 %, and 35.38 wt%, respectively for MS. Torrefied MS, as compared to raw MS, showed better solid fuel properties for co-combustion with coal and gasification. The experimental values closely agree with the corresponding predicted values. The functional behavior of raw and torrefied MS was studied by Fourier Transform Infra-Red Spectrometry.Manish VashishthaKalpana PatidarKeAi Communications Co., Ltd.articleTorrefactionMustard stalkHigh heating valueEnergy yieldResponse surface methodologyMaterials of engineering and construction. Mechanics of materialsTA401-492Energy conservationTJ163.26-163.5ENMaterials Science for Energy Technologies, Vol 4, Iss , Pp 432-441 (2021) |
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Torrefaction Mustard stalk High heating value Energy yield Response surface methodology Materials of engineering and construction. Mechanics of materials TA401-492 Energy conservation TJ163.26-163.5 |
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Torrefaction Mustard stalk High heating value Energy yield Response surface methodology Materials of engineering and construction. Mechanics of materials TA401-492 Energy conservation TJ163.26-163.5 Manish Vashishtha Kalpana Patidar Property enhancement of mustard stalk biomass by Torrefaction: Characterization and optimization of process parameters using response surface methodology |
description |
Present work is devoted to the study of independent operating parameters namely torrefaction temperature (TT), residence (torrefaction) time (RT), and heating rate (HR) on the slow pyrolysis or torrefaction of an important agro residue namely mustard stalk (MS). Response surface methodology along with three-factor and three-level Box-Behnken design is applied to find the effect of above mentioned three parameters on the higher heating value, energy yield, and fixed carbon of the torrefied MS. Experimentation and modeling analysis reveal that the effect of these three factors' responses follows the sequence: (TT) > (RT) > (HR). Also, the experimental data were analyzed using analysis of variance and fitted to a second-order polynomial model applying multiple regression analysis. Predictive models were obtained which were able to satisfactorily fit the experimental data, with the coefficient of determination (R2) values higher than 0.95. Derringer’s desirability function methodology was used for the optimization study which showed that the HHV, EY, and FC at optimum condition TT 300 °C, RT 20 min, HR 5 °C/min were obtained as 21.26 MJ/kg, 81.26 %, and 35.38 wt%, respectively for MS. Torrefied MS, as compared to raw MS, showed better solid fuel properties for co-combustion with coal and gasification. The experimental values closely agree with the corresponding predicted values. The functional behavior of raw and torrefied MS was studied by Fourier Transform Infra-Red Spectrometry. |
format |
article |
author |
Manish Vashishtha Kalpana Patidar |
author_facet |
Manish Vashishtha Kalpana Patidar |
author_sort |
Manish Vashishtha |
title |
Property enhancement of mustard stalk biomass by Torrefaction: Characterization and optimization of process parameters using response surface methodology |
title_short |
Property enhancement of mustard stalk biomass by Torrefaction: Characterization and optimization of process parameters using response surface methodology |
title_full |
Property enhancement of mustard stalk biomass by Torrefaction: Characterization and optimization of process parameters using response surface methodology |
title_fullStr |
Property enhancement of mustard stalk biomass by Torrefaction: Characterization and optimization of process parameters using response surface methodology |
title_full_unstemmed |
Property enhancement of mustard stalk biomass by Torrefaction: Characterization and optimization of process parameters using response surface methodology |
title_sort |
property enhancement of mustard stalk biomass by torrefaction: characterization and optimization of process parameters using response surface methodology |
publisher |
KeAi Communications Co., Ltd. |
publishDate |
2021 |
url |
https://doaj.org/article/7e14afb532ed44c7a39874c9283da2a1 |
work_keys_str_mv |
AT manishvashishtha propertyenhancementofmustardstalkbiomassbytorrefactioncharacterizationandoptimizationofprocessparametersusingresponsesurfacemethodology AT kalpanapatidar propertyenhancementofmustardstalkbiomassbytorrefactioncharacterizationandoptimizationofprocessparametersusingresponsesurfacemethodology |
_version_ |
1718406757951209472 |