Moisture Sorption Characteristics of Corn Stover and Big Bluestem

Moisture content is an important feedstock quality in converting it into energy through biochemical or thermochemical platforms. Knowledge of moisture sorption relationship is useful in drying and storage to preserve the quality of feedstocks. Moisture sorption isotherms for potential feedstocks suc...

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Main Authors: C. Karunanithy, K. Muthukumarappan, A. Donepudi
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Journal of Renewable Energy
Online Access:http://dx.doi.org/10.1155/2013/939504
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spelling doaj-ced8b3a9e1cd4aba86ddc61c1aeafa712020-11-24T23:43:09ZengHindawi LimitedJournal of Renewable Energy2314-43862314-43942013-01-01201310.1155/2013/939504939504Moisture Sorption Characteristics of Corn Stover and Big BluestemC. Karunanithy0K. Muthukumarappan1A. Donepudi2Food and Nutrition Department, University of Wisconsin-Stout, Menomonie, WI 54751, USAAgricultural and Biosystems Engineering Department, South Dakota State University, 1400 North Campus Drive, Brookings, SD 57007, USAAgricultural and Biosystems Engineering Department, South Dakota State University, 1400 North Campus Drive, Brookings, SD 57007, USAMoisture content is an important feedstock quality in converting it into energy through biochemical or thermochemical platforms. Knowledge of moisture sorption relationship is useful in drying and storage to preserve the quality of feedstocks. Moisture sorption isotherms for potential feedstocks such as corn stover and big bluestem are missing. EMC values of corn stover and big bluestem were determined using static gravimetric technique with saturated salt solutions (ERH 0.12–0.89) at different temperatures (20, 30, and 40°C). Depending upon the ERH values, EMC values were ranged from 8.0 to 19.6 and 8.8 to 19.2% db for corn stover and big bluestem, respectively, and they followed typical type II isotherm found in food materials. Nonlinear regression was used to fit five commonly used three-parameter isotherm models (i.e., modified Oswin model, modified Halsey model, modified Chung-Pfost model, modified Henderson model, and the modified Guggenheim-Anderson-de Boer (GAB) model) to the experimental data. Modified Halsey emerged as the best model with high F-statistic and R2 values with low Em and Es and fairly random scattered residual plot for corn stover and big bluestem. These models can be used to predict the equilibrium moisture content of these feedstocks starting from harvesting, drying, preprocessing, transportation, storage, and conversion.http://dx.doi.org/10.1155/2013/939504
collection DOAJ
language English
format Article
sources DOAJ
author C. Karunanithy
K. Muthukumarappan
A. Donepudi
spellingShingle C. Karunanithy
K. Muthukumarappan
A. Donepudi
Moisture Sorption Characteristics of Corn Stover and Big Bluestem
Journal of Renewable Energy
author_facet C. Karunanithy
K. Muthukumarappan
A. Donepudi
author_sort C. Karunanithy
title Moisture Sorption Characteristics of Corn Stover and Big Bluestem
title_short Moisture Sorption Characteristics of Corn Stover and Big Bluestem
title_full Moisture Sorption Characteristics of Corn Stover and Big Bluestem
title_fullStr Moisture Sorption Characteristics of Corn Stover and Big Bluestem
title_full_unstemmed Moisture Sorption Characteristics of Corn Stover and Big Bluestem
title_sort moisture sorption characteristics of corn stover and big bluestem
publisher Hindawi Limited
series Journal of Renewable Energy
issn 2314-4386
2314-4394
publishDate 2013-01-01
description Moisture content is an important feedstock quality in converting it into energy through biochemical or thermochemical platforms. Knowledge of moisture sorption relationship is useful in drying and storage to preserve the quality of feedstocks. Moisture sorption isotherms for potential feedstocks such as corn stover and big bluestem are missing. EMC values of corn stover and big bluestem were determined using static gravimetric technique with saturated salt solutions (ERH 0.12–0.89) at different temperatures (20, 30, and 40°C). Depending upon the ERH values, EMC values were ranged from 8.0 to 19.6 and 8.8 to 19.2% db for corn stover and big bluestem, respectively, and they followed typical type II isotherm found in food materials. Nonlinear regression was used to fit five commonly used three-parameter isotherm models (i.e., modified Oswin model, modified Halsey model, modified Chung-Pfost model, modified Henderson model, and the modified Guggenheim-Anderson-de Boer (GAB) model) to the experimental data. Modified Halsey emerged as the best model with high F-statistic and R2 values with low Em and Es and fairly random scattered residual plot for corn stover and big bluestem. These models can be used to predict the equilibrium moisture content of these feedstocks starting from harvesting, drying, preprocessing, transportation, storage, and conversion.
url http://dx.doi.org/10.1155/2013/939504
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