relation between higher heating value and elemental and mineral biomass plant components relação entre o poder calorífico superior e os componentes elementares e minerais da biomassa vegetal

Thiago de Paula Protásio; Lina Bufalino; Gustavo Henrique Denzin Tonoli; Allan Motta Couto; Paulo Fernando Trugilho; Mário Guimarães Júnior

doi:10.4336/2012.pfb.66.113

relation between higher heating value and elemental and mineral biomass plant components relação entre o poder calorífico superior e os componentes elementares e minerais da biomassa vegetal

Clicks: 119

ID: 256363

2011

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Abstract

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The aims of this work were to evaluate the correlation, to adjust and select simple and multiple linear statistical models between elemental components (carbon, hydrogen and oxygen) and ash content with higher heating value for plant biomass; to use the principle components analysis for the creation of an energetic development index and to adjust a linear model between energetic development index and higher heating value. Eight types of biomass were used. Three linear and nine multiple statistical models were adjusted. The best models were selected based on the significance of coefficients, adjusted determination coefficient, estimative standard error, coefficient of variation, linearity of parameters, normality, presence of heterocedasticity and lack of error correlation. The variance inflation factor was determined for linear multiple models. High correlation between the variables studied was found. Models 1, 3 and 11 were considered most adequate. Practical use of model 2 is not possible. Principle components analysis was efficient in obtaining an energetic development index of lignocellulosic residues and it may be used for solving multicollinearity found between variables considered.doi: 10.4336/2011.pfb.31.66.113
Os objetivos do trabalho foram avaliar a correlação, ajustar e selecionar modelos estatísticos lineares simples e múltiplos entre os componentes elementares (carbono, hidrogênio e oxigênio) e o teor de cinzas com o poder calorífico superior da biomassa vegetal; utilizar a análise de componentes principais para a criação de um índice de desempenho energético e ajustar um modelo linear entre o índice de desempenho energético e o poder calorífico superior. Utilizaram-se oito tipos de biomassa. Foram ajustadas equações referentes a três modelos estatísticos lineares simples e nove múltiplos. Os melhores modelos foram selecionados com base na significância dos seus coeficientes, no coeficiente de determinação ajustado, no erro padrão da estimativa, no coeficiente de variação, na linearidade dos parâmetros, na normalidade, na presença de heterocedasticidade e ausência de autocorrelação dos erros. Para os modelos lineares múltiplos, determinou-se o fator de inflação de variância. Encontrou-se alta correlação entre as variáveis. Os modelos 1, 3 e 11 foram considerados os mais adequados. A utilização prática do modelo 2 foi impossibilitada. A análise de componentes principais foi eficiente na obtenção de um índice de desempenho energético dos resíduos lignocelulósicos e pode ser utilizada para contornar a multicolinearidade encontrada entre as variáveis consideradas.doi: 10.4336/2011.pfb.31.66.113

Reference Key	protsio2011pesquisarelation Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors	Thiago de Paula Protásio, Lina Bufalino, Gustavo Henrique Denzin Tonoli, Allan Motta Couto, Paulo Fernando Trugilho, Mário Guimarães Júnior Are you one of these authors? Claim your profile
Journal	journal of ict research and applications
Year	2011
DOI	10.4336/2012.pfb.66.113 Searching for DOI...
URL	http://www.cnpf.embrapa.br/pfb/index.php/pfb/article/view/200 https://doi.org/10.4336/2012.pfb.66.113
Keywords	Keywords not found

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Thiago de Paula Protásio

Lina Bufalino

Gustavo Henrique Denzin Tonoli

Allan Motta Couto

Paulo Fernando Trugilho

Mário Guimarães Júnior

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