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Registro Completo |
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
03/12/2019 |
Data da última atualização: |
05/12/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
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. |
Afiliação: |
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. |
Título: |
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. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Journal of Agricultural Science, Richmond Hill, v. 11, n. 14, p. 246-253, 2019. |
ISSN: |
1916-9760 |
Idioma: |
Inglês |
Conteúdo: |
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. MenosAbstract: 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 co... Mostrar Tudo |
Palavras-Chave: |
Alternative clean energy sources; Exploratory data analysis; FCM algorithm; Fiber-rich biomass; PCA. |
Thesagro: |
Análise de Dados; Bioenergia; Biomassa; Cana de Açúcar; Etanol; Hibrido. |
Thesaurus Nal: |
Bioenergy; Biomass; Data analysis; Ethanol; Fuzzy logic; Hybrids; Sugarcane. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/206044/1/May-Classifying-Hybrids-2019.pdf
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Marc: |
LEADER 03177naa a2200457 a 4500 001 2115795 005 2019-12-05 008 2019 bl uuuu u00u1 u #d 022 $a1916-9760 100 1 $aMOREIRA, B. R. de A. 245 $aClassifying hybrids of energy cane for production of bioethanol and cogeneration of biomass-based electricity by principal component analysis-linked fuzzy c-means clustering algorithm.$h[electronic resource] 260 $c2019 520 $aAbstract: 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. 650 $aBioenergy 650 $aBiomass 650 $aData analysis 650 $aEthanol 650 $aFuzzy logic 650 $aHybrids 650 $aSugarcane 650 $aAnálise de Dados 650 $aBioenergia 650 $aBiomassa 650 $aCana de Açúcar 650 $aEtanol 650 $aHibrido 653 $aAlternative clean energy sources 653 $aExploratory data analysis 653 $aFCM algorithm 653 $aFiber-rich biomass 653 $aPCA 700 1 $aVIANA, R. da S. 700 1 $aLISBOA, L. A. M. 700 1 $aLOPES, P. R. M. 700 1 $aFIGUEIREDO, P. A. M. de 700 1 $aRAMOS, S. B. 700 1 $aBONINI, C. S. B. 700 1 $aTRINDADE, V. D. R. 700 1 $aANDRADE, M. G. de O. 700 1 $aMAY, A. 773 $tJournal of Agricultural Science, Richmond Hill$gv. 11, n. 14, p. 246-253, 2019.
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Embrapa Meio Ambiente (CNPMA) |
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Biblioteca(s): |
Embrapa Pesca e Aquicultura. |
Data corrente: |
13/02/2017 |
Data da última atualização: |
07/03/2017 |
Tipo da produção científica: |
Folder/Folheto/Cartilha |
Autoria: |
MUNOZ, A. E. P.; BARROSO, R. M.; MATAVELI, M. |
Afiliação: |
ANDREA ELENA PIZARRO MUNOZ, CNPASA; RENATA MELON BARROSO, CNPASA; MARCELA MATAVELI, CNPASA. |
Título: |
Licenciamento ambiental e outorga do uso da água: contexto continental e brasileiro. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Brasília, DF: CNA, 2016. |
Páginas: |
8 p. |
Série: |
(CNA. Boletim ativos da aquicultura, 10). |
Idioma: |
Português |
Conteúdo: |
As licenças ambientais para a prática da aquicultura, implementadas na década de 1990, são comuns atualmente em quase todos os países do mundo, em particular na América Latina. A economia brasileira segue em retração, como mostram diversos indicadores de atividade econômica. O Produto Interno Bruto (PIB), soma de todos os bens e serviços produzidos no país, acumula queda de 4,7% em 12 meses, segundo o Monitor do PIB de maio da Fundação Getúlio Vargas (FGV). Na piscicultura brasileira há uma tendência dos planteis de reprodutores das centrais de larvicultura serem formados por peixes que apresentam baixa variabilidade genética ou alto grau de parentesco. |
Thesagro: |
Aquicultura; Comércio; Endogamia; Legislação; Mercado nacional; Pesca. |
Categoria do assunto: |
E Economia e Indústria Agrícola |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/155419/1/458.pdf
|
Marc: |
LEADER 01318nam a2200229 a 4500 001 2063733 005 2017-03-07 008 2016 bl uuuu u0uu1 u #d 100 1 $aMUNOZ, A. E. P. 245 $aLicenciamento ambiental e outorga do uso da água$bcontexto continental e brasileiro.$h[electronic resource] 260 $aBrasília, DF: CNA$c2016 300 $a8 p. 490 $a(CNA. Boletim ativos da aquicultura, 10). 520 $aAs licenças ambientais para a prática da aquicultura, implementadas na década de 1990, são comuns atualmente em quase todos os países do mundo, em particular na América Latina. A economia brasileira segue em retração, como mostram diversos indicadores de atividade econômica. O Produto Interno Bruto (PIB), soma de todos os bens e serviços produzidos no país, acumula queda de 4,7% em 12 meses, segundo o Monitor do PIB de maio da Fundação Getúlio Vargas (FGV). Na piscicultura brasileira há uma tendência dos planteis de reprodutores das centrais de larvicultura serem formados por peixes que apresentam baixa variabilidade genética ou alto grau de parentesco. 650 $aAquicultura 650 $aComércio 650 $aEndogamia 650 $aLegislação 650 $aMercado nacional 650 $aPesca 700 1 $aBARROSO, R. M. 700 1 $aMATAVELI, M.
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