Ultimate analysis and heating value prediction of straw by near infrared spectroscopy |
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| Authors: | C Huang L Han Z Yang X Liu |
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| Institution: | 1. Forest & Landscape, Faculty of Science, University of Copenhagen, Rolighedsvej 23, DK-1958 Frederiksberg C, Copenhagen, Denmark;2. Plant and Soil Science Section, Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, Thorvaldsensvej 40, DK-1871 Frederiksberg C, Copenhagen, Denmark;1. Fuels Research Center, Department of Chemical Technology, Faculty of Science, Chulalongkorn University, 254 Phayathai Road, Patumwan, Bangkok, 10330, Thailand;2. Center of Excellence on Petrochemical and Materials Technology, Chulalongkorn University, 254, Phayathai Road, Patumwan, Bangkok, 10330, Thailand;1. Forest Products Development Center, School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA;2. Department of Biosystems Engineering, Auburn University, Auburn, AL 36849, USA;3. Center for Bioenergy and Bioproducts, Auburn University, Auburn, AL 36849, USA;1. Ondokuz May?s University, Chemical Engineering Department, Samsun, Turkey;2. Boston University, Department of Mechanical Engineering and Division of Materials Science & Engineering, 110 Cummington Mall, Boston, MA 02215, USA |
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| Abstract: | Ultimate analysis and heating value determination are two of the most important routine analyses for exploiting agricultural wastes for energy conversion. The use of near infrared spectroscopy (NIRS) was investigated as an alternative method to predict the carbon, hydrogen, and nitrogen content and the heating value of straw. A total of 222 straw samples, collected from 24 provinces of China, were used for NIRS calibration and validation in this study. The and standard error of predictions in independent validation were, respectively, 0.97 and 0.37% for C, 0.77 and 0.17% for H, 0.87 and 0.10% for N and 0.96 and 181 J/g for heating value. A multiple linear regression (MLR) model was also built to predict the heating value from the contents of C, H and N. The MLR equation gave good prediction (standard error of prediction = 224 J/g) when evaluated using the same validation set as the NIRS. Therefore, rapid analysis of straw can be achieved through the constructed equations, saving analytical time and cost. |
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