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Energies 2016, 9(11), 913; doi:10.3390/en9110913

A Principal Component Analysis in Switchgrass Chemical Composition

1
Mechanical Engineering Department, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX 78249, USA
2
Department of Agricultural and Resource Economics, University of Tennessee, Knoxville, TN 37996, USA
3
Center for Renewable Carbon, University of Tennessee, Knoxville, TN 37996, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Thomas E. Amidon
Received: 28 July 2016 / Revised: 18 October 2016 / Accepted: 25 October 2016 / Published: 4 November 2016
(This article belongs to the Collection Bioenergy and Biofuel)
View Full-Text   |   Download PDF [1574 KB, uploaded 4 November 2016]   |  

Abstract

In recent years, bioenergy has become a promising renewable energy source that can potentially reduce the greenhouse emissions and generate economic growth in rural areas. Gaining understanding and controlling biomass chemical composition contributes to an efficient biofuel generation. This paper presents a principal component analysis (PCA) that shows the influence and relevance of selected controllable factors over the chemical composition of switchgrass and, therefore, in the generation of biofuels. The study introduces the following factors: (1) storage days; (2) particle size; (3) wrap type; and (4) weight of the bale. Results show that all the aforementioned factors have an influence in the chemical composition. The number of days that bales have been stored was the most significant factor regarding changes in chemical components due to its effect over principal components 1 and 2 (PC1 and PC2, approximately 80% of the total variance). The storage days are followed by the particle size, the weight of the bale and the type of wrap utilized to enclose the bale. An increment in the number of days (from 75–150 days to 225 days) in storage decreases the percentage of carbohydrates by −1.03% while content of ash increases by 6.56%. View Full-Text
Keywords: lignocellulosic biomass; principal component analysis; statistical hypothesis; bioenergy; switchgrass lignocellulosic biomass; principal component analysis; statistical hypothesis; bioenergy; switchgrass
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MDPI and ACS Style

Aboytes-Ojeda, M.; Castillo-Villar, K.K.; Yu, T.-H.E.; Boyer, C.N.; English, B.C.; Larson, J.A.; Kline, L.M.; Labbé, N. A Principal Component Analysis in Switchgrass Chemical Composition. Energies 2016, 9, 913.

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