Detalhes bibliográficos
| Ano de defesa: |
2014 |
| Autor(a) principal: |
Santos, Elisângela da Silva Moura
 |
| Orientador(a): |
SOLEDADE, Luiz Edmundo Bastos
|
| Banca de defesa: |
Não Informado pela instituição |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Federal do Maranhão
|
| Programa de Pós-Graduação: |
PROGRAMA DE PÓS-GRADUAÇÃO EM ENERGIA E AMBIENTE/CCET
|
| Departamento: |
Energia e Ambiente
|
| País: |
BR
|
| Palavras-chave em Português: |
|
| Palavras-chave em Inglês: |
|
| Área do conhecimento CNPq: |
|
| Link de acesso: |
http://tedebc.ufma.br:8080/jspui/handle/tede/678
|
Resumo: |
The search for sustainable processes has led industries to invest in innovative and cleaner solution for their production chain, particularly in its atmospheric emissions. Thus, the company studied opted for replacement of the processes of diesel oil by a new fuel termed "flexgas". The baking process of anodes is a major step in the aluminum production process. This step consists in burning diesel oil in pipes which heat indirectly the anodes, formed by a mixture of coke, pitch and butts. This heating should be controlled as it has influence on the quality of the anodes, and consequently the process of aluminum production within the electrolytic cells. In this work we analyze emissions data comparing before and after the replacement of the fuel. We investigated the influence of other operational variables that can affect the results of the emissions of particulates, fluorides and sulfur dioxide in the chimneys of the anode baking furnaces. For this, we propose the first model of multiple linear regression. As a computational tool, we use the R software for the calculation of descriptive measures, model fitting and parameters estimation. |
