DEVELOPMENT OF EXPERT SYSTEM FOR SELECTION OF REACTORS FOR BIOMASS GASIFICATION

Detalhes bibliográficos
Autor(a) principal: Resende, Michael de Oliveira
Data de Publicação: 2017
Outros Autores: Silva, Jadir Nogueira, Dalólio, Felipe Santos, Barbosa, Rúben Christian, Pedruzi, Gerson Ovidio Luz
Tipo de documento: Artigo
Idioma: por
Título da fonte: Engenharia na Agricultura
Texto Completo: https://periodicos.ufv.br/reveng/article/view/653
Resumo: The objective of this research was the development of a knowledge base that can facilitate the gasifier selection mechanisms of biomass for energy production. For this, an expert system using the EXPERT FEEL as a tool was created, which recommends the best type of gasifier taking into account the characteristics of biomass to be used, the purpose of use of the synthesis gas generated and the desired thermal power. The knowledge base was obtained through the consultation of books and specialized articles in addition to consultation with experts in the biomass gasification branch. The validation of the system was made by experts from the Federal University of Viçosa, which evaluated the performance and functionality of the computer system proposed. Based on the results obtained and the evaluation made by human experts, one can conclude that the system is promising. So, for this system to become more efficient decision making it is necessary to review by other experts enabling the improvement of their knowledge base.
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spelling DEVELOPMENT OF EXPERT SYSTEM FOR SELECTION OF REACTORS FOR BIOMASS GASIFICATIONNOTA TÉCNICA: DESENVOLVIMENTO DE SISTEMA ESPECIALISTA PARA SELEÇÃO DE REATORES DE GASEIFICAÇÃO DE BIOMASSAenergia renovávelgaseificadoresinteligência artificialsistemas computacionaisuso futuroThe objective of this research was the development of a knowledge base that can facilitate the gasifier selection mechanisms of biomass for energy production. For this, an expert system using the EXPERT FEEL as a tool was created, which recommends the best type of gasifier taking into account the characteristics of biomass to be used, the purpose of use of the synthesis gas generated and the desired thermal power. The knowledge base was obtained through the consultation of books and specialized articles in addition to consultation with experts in the biomass gasification branch. The validation of the system was made by experts from the Federal University of Viçosa, which evaluated the performance and functionality of the computer system proposed. Based on the results obtained and the evaluation made by human experts, one can conclude that the system is promising. So, for this system to become more efficient decision making it is necessary to review by other experts enabling the improvement of their knowledge base.Objetivou-se com este trabalho o desenvolvimento de uma base de conhecimento que possa facilitar os mecanismos de seleção de gaseificadores de biomassa. Para isso, foi criado um sistema especialista utilizando-se o EXPERT SINTA como ferramenta, que recomenda o melhor tipo de gaseificador levando em consideração as características da biomassa a ser utilizada, a finalidade de utilização do gás de síntese gerado e a potência térmica pretendida. A base de conhecimento foi obtida através da consulta prévia a livros e artigos especializados, além da consulta aos especialistas no ramo da gaseificação de biomassa. A validação do sistema foi feita por especialistas da Universidade Federal de Viçosa, os quais avaliaram o desempenho e a funcionalidade do sistema computacional proposto. Com base nos resultados obtidos e na avaliação feita pelos especialistas, pode-se concluir que o sistema desenvolvido é promissor. Assim, para esse sistema tornar-se mais eficiente na tomada de decisão, faz-se necessário sua avaliação por outros especialistas e o aprimoramento da sua base de conhecimento.Universidade Federal de Viçosa - UFV2017-03-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/65310.13083/reveng.v25i1.726Engineering in Agriculture; Vol. 25 No. 1 (2017); 83-91Revista Engenharia na Agricultura - REVENG; v. 25 n. 1 (2017); 83-912175-68131414-398410.13083/reveng.v25i1reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVporhttps://periodicos.ufv.br/reveng/article/view/653/431Resende, Michael de OliveiraSilva, Jadir NogueiraDalólio, Felipe SantosBarbosa, Rúben ChristianPedruzi, Gerson Ovidio Luzinfo:eu-repo/semantics/openAccess2023-01-19T13:32:22Zoai:ojs.periodicos.ufv.br:article/653Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-19T13:32:22Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv DEVELOPMENT OF EXPERT SYSTEM FOR SELECTION OF REACTORS FOR BIOMASS GASIFICATION
NOTA TÉCNICA: DESENVOLVIMENTO DE SISTEMA ESPECIALISTA PARA SELEÇÃO DE REATORES DE GASEIFICAÇÃO DE BIOMASSA
title DEVELOPMENT OF EXPERT SYSTEM FOR SELECTION OF REACTORS FOR BIOMASS GASIFICATION
spellingShingle DEVELOPMENT OF EXPERT SYSTEM FOR SELECTION OF REACTORS FOR BIOMASS GASIFICATION
Resende, Michael de Oliveira
energia renovável
gaseificadores
inteligência artificial
sistemas computacionais
uso futuro
title_short DEVELOPMENT OF EXPERT SYSTEM FOR SELECTION OF REACTORS FOR BIOMASS GASIFICATION
title_full DEVELOPMENT OF EXPERT SYSTEM FOR SELECTION OF REACTORS FOR BIOMASS GASIFICATION
title_fullStr DEVELOPMENT OF EXPERT SYSTEM FOR SELECTION OF REACTORS FOR BIOMASS GASIFICATION
title_full_unstemmed DEVELOPMENT OF EXPERT SYSTEM FOR SELECTION OF REACTORS FOR BIOMASS GASIFICATION
title_sort DEVELOPMENT OF EXPERT SYSTEM FOR SELECTION OF REACTORS FOR BIOMASS GASIFICATION
author Resende, Michael de Oliveira
author_facet Resende, Michael de Oliveira
Silva, Jadir Nogueira
Dalólio, Felipe Santos
Barbosa, Rúben Christian
Pedruzi, Gerson Ovidio Luz
author_role author
author2 Silva, Jadir Nogueira
Dalólio, Felipe Santos
Barbosa, Rúben Christian
Pedruzi, Gerson Ovidio Luz
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Resende, Michael de Oliveira
Silva, Jadir Nogueira
Dalólio, Felipe Santos
Barbosa, Rúben Christian
Pedruzi, Gerson Ovidio Luz
dc.subject.por.fl_str_mv energia renovável
gaseificadores
inteligência artificial
sistemas computacionais
uso futuro
topic energia renovável
gaseificadores
inteligência artificial
sistemas computacionais
uso futuro
description The objective of this research was the development of a knowledge base that can facilitate the gasifier selection mechanisms of biomass for energy production. For this, an expert system using the EXPERT FEEL as a tool was created, which recommends the best type of gasifier taking into account the characteristics of biomass to be used, the purpose of use of the synthesis gas generated and the desired thermal power. The knowledge base was obtained through the consultation of books and specialized articles in addition to consultation with experts in the biomass gasification branch. The validation of the system was made by experts from the Federal University of Viçosa, which evaluated the performance and functionality of the computer system proposed. Based on the results obtained and the evaluation made by human experts, one can conclude that the system is promising. So, for this system to become more efficient decision making it is necessary to review by other experts enabling the improvement of their knowledge base.
publishDate 2017
dc.date.none.fl_str_mv 2017-03-31
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufv.br/reveng/article/view/653
10.13083/reveng.v25i1.726
url https://periodicos.ufv.br/reveng/article/view/653
identifier_str_mv 10.13083/reveng.v25i1.726
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufv.br/reveng/article/view/653/431
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv Engineering in Agriculture; Vol. 25 No. 1 (2017); 83-91
Revista Engenharia na Agricultura - REVENG; v. 25 n. 1 (2017); 83-91
2175-6813
1414-3984
10.13083/reveng.v25i1
reponame:Engenharia na Agricultura
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Engenharia na Agricultura
collection Engenharia na Agricultura
repository.name.fl_str_mv Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br
_version_ 1800211146062430208

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