Multiple linear regression model applied to data for biogas power generation

Detalhes bibliográficos
Autor(a) principal: Carvalho, Matheus da Silva
Data de Publicação: 2021
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/23968
Resumo: World industrialization has been growing on a large scale, thereby causing the global energy demand to increase as well. That said, in order to have more energy available, much more will be required from the environment. Because some energy-using techniques are extremely aggressive to the ecosystem, renewable energy sources play a major role compared to the effects of energy generation and their relationship to other energy sources. Biomass has received much attention from the media and political leaders, both regarding alternative fuel sources and a way to minimize dependence on raw material imports from developed countries. This research uses a modelling method using CH4 Biogas Simulator comparatives for multi-variable evaluation in order to determine the regression equation, thus obtaining the amount of crude biogas and electrical energy that can be generated using biogas from cattle manure, pigs and poultry by means of biodigesters. The generated equation is easy to apply and evolve in model Y= 1.572731 + 0.985985 x cattle + 0.191372 x pigs + 0.021287 x birds with (r= 0.99) and is therefore suitable for estimating the potential value of biogas.
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spelling Multiple linear regression model applied to data for biogas power generationModelo de regresión lineal múltiple aplicado a datos para la generación de energía a través del biogásModelo de regressão linear múltipla aplicado a dados para geração de energia através do biogásLa energíaBiomasaBiogásBiodigestores.EnergyBiomassBiogasBiodigesters.EnergiaBiomassaBiogásBiodigestores.World industrialization has been growing on a large scale, thereby causing the global energy demand to increase as well. That said, in order to have more energy available, much more will be required from the environment. Because some energy-using techniques are extremely aggressive to the ecosystem, renewable energy sources play a major role compared to the effects of energy generation and their relationship to other energy sources. Biomass has received much attention from the media and political leaders, both regarding alternative fuel sources and a way to minimize dependence on raw material imports from developed countries. This research uses a modelling method using CH4 Biogas Simulator comparatives for multi-variable evaluation in order to determine the regression equation, thus obtaining the amount of crude biogas and electrical energy that can be generated using biogas from cattle manure, pigs and poultry by means of biodigesters. The generated equation is easy to apply and evolve in model Y= 1.572731 + 0.985985 x cattle + 0.191372 x pigs + 0.021287 x birds with (r= 0.99) and is therefore suitable for estimating the potential value of biogas.La industrialización mundial ha ido creciendo a gran escala, lo que ha provocado que también aumente la demanda mundial de energía. Se cree que para tener una mayor disponibilidad de energía será necesario exigir mucho más al medio ambiente. Como algunas técnicas utilizadas para obtener energía son extremadamente agresivas para el ecosistema, las fuentes de energía renovables juegan un papel muy importante, en comparación con los efectos de la obtención de energía y su relación con otras fuentes de energía. La biomasa ha recibido mucha atención de los medios de comunicación y los líderes políticos, tanto en términos de fuentes de combustibles alternativos como en una forma de minimizar la dependencia de materias primas importadas de países desarrollados. Este trabajo utiliza un método de modelado utilizando comparativos del software CH4 Biogas Simulator para evaluar múltiples variables con el fin de determinar la ecuación de regresión, obteniendo así la cantidad de biogás crudo y energía eléctrica que se puede generar utilizando estiércol bovino, porcino y avícola por acción de biodigestores. La ecuación generada es fácil de aplicar y resultó en el modelo Y = 1.572731 + 0.985985 x bovinos + 0.191372 x porcinos + 0.021287 x aves de corral con (r = 0.99) siendo por tanto adecuado para estimar el valor del potencial de biogás.A industrialização mundial vem crescendo em larga escala, com isso fazendo com que a demanda de energia global também aumente. Acredita-se que para haver maior disponibilidade de energia, será necessário exigir muito mais do meio ambiente. Como algumas técnicas utilizadas para obtenção de energia são extremamente agressivas ao ecossistema, as fontes de energia renováveis desempenham um papel importantíssimo, comparado aos efeitos de obtenção de energia e sua relação a outras fontes de energia. A biomassa tem recebido muita atenção por parte da mídia e de líderes políticos, tanto em relação a fontes alternativas de combustível quanto uma maneira de minimizar a dependência da importação de matéria-prima de países desenvolvidos. Este trabalho utiliza um método de modelagem usando comparativos do software CH4 Biogás Simulator para avaliação de múltiplas variáveis afim de determinar a equação de regressão, assim obtendo a quantidade de biogás bruto e energia elétrica que se pode gerar utilizando dejetos de bovinos, suínos e aves pela ação de biodigestores. A equação gerada é de fácil aplicabilidade e resultou no modelo Y= 1,572731 + 0,985985 x bovinos + 0,191372 x suínos + 0,021287 x aves com (r=0,99) sendo assim adequada para estimação do valor do potencial de biogás.Research, Society and Development2021-12-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2396810.33448/rsd-v10i16.23968Research, Society and Development; Vol. 10 No. 16; e224101623968Research, Society and Development; Vol. 10 Núm. 16; e224101623968Research, Society and Development; v. 10 n. 16; e2241016239682525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/23968/20882Copyright (c) 2021 Matheus da Silva Carvalhohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCarvalho, Matheus da Silva2021-12-20T11:03:07Zoai:ojs.pkp.sfu.ca:article/23968Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:42:40.495082Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Multiple linear regression model applied to data for biogas power generation
Modelo de regresión lineal múltiple aplicado a datos para la generación de energía a través del biogás
Modelo de regressão linear múltipla aplicado a dados para geração de energia através do biogás
title Multiple linear regression model applied to data for biogas power generation
spellingShingle Multiple linear regression model applied to data for biogas power generation
Carvalho, Matheus da Silva
La energía
Biomasa
Biogás
Biodigestores.
Energy
Biomass
Biogas
Biodigesters.
Energia
Biomassa
Biogás
Biodigestores.
title_short Multiple linear regression model applied to data for biogas power generation
title_full Multiple linear regression model applied to data for biogas power generation
title_fullStr Multiple linear regression model applied to data for biogas power generation
title_full_unstemmed Multiple linear regression model applied to data for biogas power generation
title_sort Multiple linear regression model applied to data for biogas power generation
author Carvalho, Matheus da Silva
author_facet Carvalho, Matheus da Silva
author_role author
dc.contributor.author.fl_str_mv Carvalho, Matheus da Silva
dc.subject.por.fl_str_mv La energía
Biomasa
Biogás
Biodigestores.
Energy
Biomass
Biogas
Biodigesters.
Energia
Biomassa
Biogás
Biodigestores.
topic La energía
Biomasa
Biogás
Biodigestores.
Energy
Biomass
Biogas
Biodigesters.
Energia
Biomassa
Biogás
Biodigestores.
description World industrialization has been growing on a large scale, thereby causing the global energy demand to increase as well. That said, in order to have more energy available, much more will be required from the environment. Because some energy-using techniques are extremely aggressive to the ecosystem, renewable energy sources play a major role compared to the effects of energy generation and their relationship to other energy sources. Biomass has received much attention from the media and political leaders, both regarding alternative fuel sources and a way to minimize dependence on raw material imports from developed countries. This research uses a modelling method using CH4 Biogas Simulator comparatives for multi-variable evaluation in order to determine the regression equation, thus obtaining the amount of crude biogas and electrical energy that can be generated using biogas from cattle manure, pigs and poultry by means of biodigesters. The generated equation is easy to apply and evolve in model Y= 1.572731 + 0.985985 x cattle + 0.191372 x pigs + 0.021287 x birds with (r= 0.99) and is therefore suitable for estimating the potential value of biogas.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-11
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://rsdjournal.org/index.php/rsd/article/view/23968
10.33448/rsd-v10i16.23968
url https://rsdjournal.org/index.php/rsd/article/view/23968
identifier_str_mv 10.33448/rsd-v10i16.23968
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/23968/20882
dc.rights.driver.fl_str_mv Copyright (c) 2021 Matheus da Silva Carvalho
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Matheus da Silva Carvalho
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 16; e224101623968
Research, Society and Development; Vol. 10 Núm. 16; e224101623968
Research, Society and Development; v. 10 n. 16; e224101623968
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
_version_ 1797052810200612864

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