Estimation of the energy use of municipal solid waste with the aid of biological processes

Detalhes bibliográficos
Autor(a) principal: Drudi, Ricardo
Data de Publicação: 2020
Outros Autores: Martins, Gilberto, Toneli, Juliana Tófano de Campos Leite, Antonio, Graziella Colato, Drudi, Kelly Cristina Rosa
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista ENIAC pesquisa
Texto Completo: https://ojs.eniac.com.br/index.php/EniacPesquisa/article/view/557
Resumo: The growing number of municipal solid waste in cities is resulting in major problems for public administrations. Currently about 58% of waste collected in Brazil are sent to landfills, and 42% are destined to inadequate locations. The problem is not only related to the appropriate area for the deposit of these residues, but with the natural production of methane, gas much more harmful to the environment than carbon dioxide itself, but with high calorific power. This work aimed to build, through statistical analysis methods, a model that allows predicting the production of biogas in a landfill. Simulations were performed using literature parameters, which have characteristics of Gaussian distributions. According to the simulations, it was possible to design a hypothetical model that takes into account the variability that occur with the waste deposited in a landfill.  
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spelling Estimation of the energy use of municipal solid waste with the aid of biological processesEstimativa do aproveitamento energético de resíduos sólidos urbanos com o auxílio de processos biológicosbiogaslandfill managementgaussian vectorsenergy recovery of waste.biogásaterro sanitáriovetores gaussianosrecuperação energética de resíduos.The growing number of municipal solid waste in cities is resulting in major problems for public administrations. Currently about 58% of waste collected in Brazil are sent to landfills, and 42% are destined to inadequate locations. The problem is not only related to the appropriate area for the deposit of these residues, but with the natural production of methane, gas much more harmful to the environment than carbon dioxide itself, but with high calorific power. This work aimed to build, through statistical analysis methods, a model that allows predicting the production of biogas in a landfill. Simulations were performed using literature parameters, which have characteristics of Gaussian distributions. According to the simulations, it was possible to design a hypothetical model that takes into account the variability that occur with the waste deposited in a landfill.  O crescente número de resíduos sólidos urbanos nas cidades, estão resultando em grandes problemas para as administrações públicas. Atualmente cerca de 58% dos resíduos coletados no Brasil são enviados para aterros sanitários, e 42% são destinados a locais inadequados. O problema não está relacionado somente com área apropriada para o depósito desses resíduos, mas com a produção natural de metano, gás muito mais prejudicial ao meio ambiente do que o próprio dióxido de carbono, porém com alto poder calorífico. Este trabalho buscou construir, através de métodos de análise estatística, um modelo que possibilite prever a produção de biogás em um aterro sanitário. Foram realizadas simulações, utilizando-se de parâmetros da literatura, que possuem características de distribuições gaussianas. De acordo com as simulações, foi possível projetar um modelo hipotético que leva em consideração as variabilidades que ocorrem com os resíduos depositado em um aterro sanitário. Centro Universitário ENIAC2020-01-29info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ojs.eniac.com.br/index.php/EniacPesquisa/article/view/55710.22567/rep.v9i1.557Revista Eniac Pesquisa; Vol. 9 No. 1 (2020); 108-128REVISTA ENIAC PESQUISA; Vol. 9 Núm. 1 (2020); 108-128REVISTA ENIAC PESQUISA; v. 9 n. 1 (2020); 108-1282316-234110.22567/rep.v9i1reponame:Revista ENIAC pesquisainstname:Centro Universitário Eniacinstacron:ENIACporhttps://ojs.eniac.com.br/index.php/EniacPesquisa/article/view/557/694Copyright (c) 2020 REVISTA ENIAC PESQUISAhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessDrudi, RicardoMartins, GilbertoToneli, Juliana Tófano de Campos LeiteAntonio, Graziella ColatoDrudi, Kelly Cristina Rosa2024-07-09T18:47:52Zoai:ojs.pkp.sfu.ca:article/557Revistahttps://ojs.eniac.com.br/index.php/EniacPesquisaPRIhttp://ojs.eniac.com.br/index.php/EniacPesquisa/oai||revistaeniacpesquisa@fernandoasantos.com.br2316-23412316-2341opendoar:2024-07-09T18:47:52Revista ENIAC pesquisa - Centro Universitário Eniacfalse
dc.title.none.fl_str_mv Estimation of the energy use of municipal solid waste with the aid of biological processes
Estimativa do aproveitamento energético de resíduos sólidos urbanos com o auxílio de processos biológicos
title Estimation of the energy use of municipal solid waste with the aid of biological processes
spellingShingle Estimation of the energy use of municipal solid waste with the aid of biological processes
Drudi, Ricardo
biogas
landfill management
gaussian vectors
energy recovery of waste.
biogás
aterro sanitário
vetores gaussianos
recuperação energética de resíduos.
title_short Estimation of the energy use of municipal solid waste with the aid of biological processes
title_full Estimation of the energy use of municipal solid waste with the aid of biological processes
title_fullStr Estimation of the energy use of municipal solid waste with the aid of biological processes
title_full_unstemmed Estimation of the energy use of municipal solid waste with the aid of biological processes
title_sort Estimation of the energy use of municipal solid waste with the aid of biological processes
author Drudi, Ricardo
author_facet Drudi, Ricardo
Martins, Gilberto
Toneli, Juliana Tófano de Campos Leite
Antonio, Graziella Colato
Drudi, Kelly Cristina Rosa
author_role author
author2 Martins, Gilberto
Toneli, Juliana Tófano de Campos Leite
Antonio, Graziella Colato
Drudi, Kelly Cristina Rosa
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Drudi, Ricardo
Martins, Gilberto
Toneli, Juliana Tófano de Campos Leite
Antonio, Graziella Colato
Drudi, Kelly Cristina Rosa
dc.subject.por.fl_str_mv biogas
landfill management
gaussian vectors
energy recovery of waste.
biogás
aterro sanitário
vetores gaussianos
recuperação energética de resíduos.
topic biogas
landfill management
gaussian vectors
energy recovery of waste.
biogás
aterro sanitário
vetores gaussianos
recuperação energética de resíduos.
description The growing number of municipal solid waste in cities is resulting in major problems for public administrations. Currently about 58% of waste collected in Brazil are sent to landfills, and 42% are destined to inadequate locations. The problem is not only related to the appropriate area for the deposit of these residues, but with the natural production of methane, gas much more harmful to the environment than carbon dioxide itself, but with high calorific power. This work aimed to build, through statistical analysis methods, a model that allows predicting the production of biogas in a landfill. Simulations were performed using literature parameters, which have characteristics of Gaussian distributions. According to the simulations, it was possible to design a hypothetical model that takes into account the variability that occur with the waste deposited in a landfill.  
publishDate 2020
dc.date.none.fl_str_mv 2020-01-29
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://ojs.eniac.com.br/index.php/EniacPesquisa/article/view/557
10.22567/rep.v9i1.557
url https://ojs.eniac.com.br/index.php/EniacPesquisa/article/view/557
identifier_str_mv 10.22567/rep.v9i1.557
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://ojs.eniac.com.br/index.php/EniacPesquisa/article/view/557/694
dc.rights.driver.fl_str_mv Copyright (c) 2020 REVISTA ENIAC PESQUISA
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 REVISTA ENIAC PESQUISA
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 Centro Universitário ENIAC
publisher.none.fl_str_mv Centro Universitário ENIAC
dc.source.none.fl_str_mv Revista Eniac Pesquisa; Vol. 9 No. 1 (2020); 108-128
REVISTA ENIAC PESQUISA; Vol. 9 Núm. 1 (2020); 108-128
REVISTA ENIAC PESQUISA; v. 9 n. 1 (2020); 108-128
2316-2341
10.22567/rep.v9i1
reponame:Revista ENIAC pesquisa
instname:Centro Universitário Eniac
instacron:ENIAC
instname_str Centro Universitário Eniac
instacron_str ENIAC
institution ENIAC
reponame_str Revista ENIAC pesquisa
collection Revista ENIAC pesquisa
repository.name.fl_str_mv Revista ENIAC pesquisa - Centro Universitário Eniac
repository.mail.fl_str_mv ||revistaeniacpesquisa@fernandoasantos.com.br
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