Title:	Classifying hybrids of energy cane for production of bioethanol and cogeneration of biomass-based electricity by principal component analysis-linked fuzzy c-means clustering algorithm.
Authors:	MOREIRA, B. R. de A. VIANA, R. da S. LISBOA, L. A. M. LOPES, P. R. M. FIGUEIREDO, P. A. M. de RAMOS, S. B. BONINI, C. S. B. TRINDADE, V. D. R. ANDRADE, M. G. de O. MAY, A.
Affiliation:	BRUNO RAFAEL DE ALMEIRA MOREIRA, FEIS-UNESP RONALDO DA SILVA VIANA, FCAT-UNESP LUCAS APARECIDO MANZANI LISBOA, FCAT-UNESP PAULO RENATO MATOS LOPES, FCAT-UNESP PAULO ALEXANDRE MONTEIRO DE FIGUEIREDO, FCAT-UNESP SÉRGIO BISPO RAMOS, FCAT-UNESP CAROLINA DOS SANTOS BATISTA BONINI, FCAT-UNESP V D R TRINDADE, UNESP M G O ANDRADE, FEIS-UNESP ANDRE MAY, CNPMA.
Date Issued:	2019
Citation:	Journal of Agricultural Science, Richmond Hill, v. 11, n. 14, p. 246-253, 2019.
Description:	Abstract: The biggest challenge facing in sugar-energy plants is to move towards the biorefinery concept, without threatening the environment and health. Energy cane is the state-of-the-art of smart energy crops to provide suitable whole-raw material to produce upgraded biofuels, dehydrated alcohol for transportation, refined sugar, yeast- fermented alcoholic beverages, soft drinks, silage and high quality fodder, as well as to cogenerate heat and bioelectricity from burnt lignocellulose. We, accordingly, present fuzzy c-means (FCM) clustering algorithm interconnected with principal component analysis (PCA) as powerful exploratory data analysis tool to wisely classify hybrids of energy cane for production of first-generation ethanol and cogeneration of heat and bioelectricity. From the orthogonally-rotated factorial map, fuzzy cluster I aggregated the hybrids VX12-0277, VX12-1191, VX12-1356 and VX12-1658 composed of higher contents of soluble solids and sucrose, and larger productive yields of fermentable sugars. These parameters correlated with the X-axis component referring to technological quality of cane juice. Fuzzy cluster III aggregated the hybrids VX12-0180 and VX12-1022 consisted of higher fiber content. This parameter correlated with the Y-axis component referring to physicochemical quality of lignocellulose. From the PCA-FCM methodology, the conclusion is, therefore, hybrids from fuzzy cluster I prove to be type I energy cane (higher sucrose to fiber ratio) and could serve as energy supply pathways to produce bioethanol, while the hybrids from fuzzy cluster III are type II energy cane (lower sucrose to fiber ratio), denoting potential as higher fiber yield biomass sources to feed cogeneration of heat and bioelectricity in high temperature and pressure furnace-boiler system.
Thesagro:	Cana de Açúcar Hibrido Etanol Bioenergia Análise de Dados Biomassa
NAL Thesaurus:	Sugarcane Hybrids Biomass Bioenergy Ethanol Data analysis Fuzzy logic
Keywords:	Alternative clean energy sources Exploratory data analysis FCM algorithm Fiber-rich biomass PCA
ISSN:	1916-9760
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (CNPMA)