ESTIMATION OF GREENHOUSE GASES (GHG) EMISSIONS FROM A BALL MILL BY LIFE CYCLE ASSESSMENT (LCA) METHOD

Bibliographic Details
Main Author: da Mata, Carlos Eduardo Domingues
Publication Date: 2022
Other Authors: Silva, André Carlos
Format: Article
Language: eng
Source: Holos
Download full: http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/12041
Summary: A significant amount of greenhouse gases (GHG) related to the consumption of electricity is generated by the grinding process in the mining industry. Therefore, in this study was quantified by the LCA method the GHG emission produced by a ball mill designed to grinding phosphate rock from Angico dos Dias deposit, Brazil. This impact category related to climate change was evaluated in two different scenarios: Electric power system supplying the mill, and a diesel fuel-based engine and generator powering the mill. The design of the ball mill for this study was carried out through the Bond and Rowland method. The followings operational parameters were established: wet grinding in a closed circuit, 480 ton/h of flow rate, F80 = 2.204 mm, P80 = 0.212 mm, and WI=10.13 kWh/ston. The Functional Unit selected for the estimation in both scenarios is “One ton of phosphate rock ground”, considering a process gate-to-gate. The power consumption of the designed ball mill is 5.29 kWh/ton (3,402 hp of power). For the first scenario 0.661 kg of GHG is released to grind one ton of Angico’s phosphate rock in the mill designed. The annual emission is 2,779 tons of GHG. On the other hand, concerning the second scenario was estimated 1.29 kg/tonore of GHG produced, resulting in an annual emission of 5,424 tons. Therefore, emissions of a diesel fuel-based engine and generator are approximately twice the quantity of GHG released by the electric power system.
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spelling ESTIMATION OF GREENHOUSE GASES (GHG) EMISSIONS FROM A BALL MILL BY LIFE CYCLE ASSESSMENT (LCA) METHODEstimation of greenhouse gases (GHG) emissions from a ball mill by life cycle assessment (LCA) methodlife cycle assessmentgreenhouse gasesminingball millelectricitylife cycle assessmentgreenhouse gasesminingball millelectricityA significant amount of greenhouse gases (GHG) related to the consumption of electricity is generated by the grinding process in the mining industry. Therefore, in this study was quantified by the LCA method the GHG emission produced by a ball mill designed to grinding phosphate rock from Angico dos Dias deposit, Brazil. This impact category related to climate change was evaluated in two different scenarios: Electric power system supplying the mill, and a diesel fuel-based engine and generator powering the mill. The design of the ball mill for this study was carried out through the Bond and Rowland method. The followings operational parameters were established: wet grinding in a closed circuit, 480 ton/h of flow rate, F80 = 2.204 mm, P80 = 0.212 mm, and WI=10.13 kWh/ston. The Functional Unit selected for the estimation in both scenarios is “One ton of phosphate rock ground”, considering a process gate-to-gate. The power consumption of the designed ball mill is 5.29 kWh/ton (3,402 hp of power). For the first scenario 0.661 kg of GHG is released to grind one ton of Angico’s phosphate rock in the mill designed. The annual emission is 2,779 tons of GHG. On the other hand, concerning the second scenario was estimated 1.29 kg/tonore of GHG produced, resulting in an annual emission of 5,424 tons. Therefore, emissions of a diesel fuel-based engine and generator are approximately twice the quantity of GHG released by the electric power system.A significant amount of greenhouse gases (GHG) related to the consumption of electricity is generated by the grinding process in the mining industry. Therefore, in this study was quantified by the LCA method the GHG emission produced by a ball mill designed to grinding phosphate rock from Angico dos Dias deposit, Brazil. This impact category related to climate change was evaluated in two different scenarios: Electric power system supplying the mill, and a diesel fuel-based engine and generator powering the mill. The design of the ball mill for this study was carried out through the Bond and Rowland method. The followings operational parameters were established: wet grinding in a closed circuit, 480 ton/h of flow rate, F80 = 2.204 mm, P80 = 0.212 mm, and WI=10.13 kWh/ston. The Functional Unit selected for the estimation in both scenarios is “One ton of phosphate rock ground”, considering a process gate-to-gate. The power consumption of the designed ball mill is 5.29 kWh/ton (3,402 hp of power). For the first scenario 0.661 kg of GHG is released to grind one ton of Angico’s phosphate rock in the mill designed. The annual emission is 2,779 tons of GHG. On the other hand, concerning the second scenario was estimated 1.29 kg/tonore of GHG produced, resulting in an annual emission of 5,424 tons. Therefore, emissions of a diesel fuel-based engine and generator are approximately twice the quantity of GHG released by the electric power system.Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte2022-12-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/12041HOLOS; v. 8 (2022)1807-1600reponame:Holosinstname:Instituto Federal do Rio Grande do Norte (IFRN)instacron:IFRNenghttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/12041/3669Copyright (c) 2022 HOLOShttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessda Mata, Carlos Eduardo DominguesSilva, André Carlos2023-04-06T01:13:30Zoai:holos.ifrn.edu.br:article/12041Revistahttp://www2.ifrn.edu.br/ojs/index.php/HOLOSPUBhttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/oaiholos@ifrn.edu.br||jyp.leite@ifrn.edu.br||propi@ifrn.edu.br1807-16001518-1634opendoar:2023-04-06T01:13:30Holos - Instituto Federal do Rio Grande do Norte (IFRN)false
dc.title.none.fl_str_mv ESTIMATION OF GREENHOUSE GASES (GHG) EMISSIONS FROM A BALL MILL BY LIFE CYCLE ASSESSMENT (LCA) METHOD
Estimation of greenhouse gases (GHG) emissions from a ball mill by life cycle assessment (LCA) method
title ESTIMATION OF GREENHOUSE GASES (GHG) EMISSIONS FROM A BALL MILL BY LIFE CYCLE ASSESSMENT (LCA) METHOD
spellingShingle ESTIMATION OF GREENHOUSE GASES (GHG) EMISSIONS FROM A BALL MILL BY LIFE CYCLE ASSESSMENT (LCA) METHOD
da Mata, Carlos Eduardo Domingues
life cycle assessment
greenhouse gases
mining
ball mill
electricity
life cycle assessment
greenhouse gases
mining
ball mill
electricity
title_short ESTIMATION OF GREENHOUSE GASES (GHG) EMISSIONS FROM A BALL MILL BY LIFE CYCLE ASSESSMENT (LCA) METHOD
title_full ESTIMATION OF GREENHOUSE GASES (GHG) EMISSIONS FROM A BALL MILL BY LIFE CYCLE ASSESSMENT (LCA) METHOD
title_fullStr ESTIMATION OF GREENHOUSE GASES (GHG) EMISSIONS FROM A BALL MILL BY LIFE CYCLE ASSESSMENT (LCA) METHOD
title_full_unstemmed ESTIMATION OF GREENHOUSE GASES (GHG) EMISSIONS FROM A BALL MILL BY LIFE CYCLE ASSESSMENT (LCA) METHOD
title_sort ESTIMATION OF GREENHOUSE GASES (GHG) EMISSIONS FROM A BALL MILL BY LIFE CYCLE ASSESSMENT (LCA) METHOD
author da Mata, Carlos Eduardo Domingues
author_facet da Mata, Carlos Eduardo Domingues
Silva, André Carlos
author_role author
author2 Silva, André Carlos
author2_role author
dc.contributor.author.fl_str_mv da Mata, Carlos Eduardo Domingues
Silva, André Carlos
dc.subject.por.fl_str_mv life cycle assessment
greenhouse gases
mining
ball mill
electricity
life cycle assessment
greenhouse gases
mining
ball mill
electricity
topic life cycle assessment
greenhouse gases
mining
ball mill
electricity
life cycle assessment
greenhouse gases
mining
ball mill
electricity
description A significant amount of greenhouse gases (GHG) related to the consumption of electricity is generated by the grinding process in the mining industry. Therefore, in this study was quantified by the LCA method the GHG emission produced by a ball mill designed to grinding phosphate rock from Angico dos Dias deposit, Brazil. This impact category related to climate change was evaluated in two different scenarios: Electric power system supplying the mill, and a diesel fuel-based engine and generator powering the mill. The design of the ball mill for this study was carried out through the Bond and Rowland method. The followings operational parameters were established: wet grinding in a closed circuit, 480 ton/h of flow rate, F80 = 2.204 mm, P80 = 0.212 mm, and WI=10.13 kWh/ston. The Functional Unit selected for the estimation in both scenarios is “One ton of phosphate rock ground”, considering a process gate-to-gate. The power consumption of the designed ball mill is 5.29 kWh/ton (3,402 hp of power). For the first scenario 0.661 kg of GHG is released to grind one ton of Angico’s phosphate rock in the mill designed. The annual emission is 2,779 tons of GHG. On the other hand, concerning the second scenario was estimated 1.29 kg/tonore of GHG produced, resulting in an annual emission of 5,424 tons. Therefore, emissions of a diesel fuel-based engine and generator are approximately twice the quantity of GHG released by the electric power system.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-28
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 http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/12041
url http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/12041
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/12041/3669
dc.rights.driver.fl_str_mv Copyright (c) 2022 HOLOS
https://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 HOLOS
https://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
publisher.none.fl_str_mv Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
dc.source.none.fl_str_mv HOLOS; v. 8 (2022)
1807-1600
reponame:Holos
instname:Instituto Federal do Rio Grande do Norte (IFRN)
instacron:IFRN
instname_str Instituto Federal do Rio Grande do Norte (IFRN)
instacron_str IFRN
institution IFRN
reponame_str Holos
collection Holos
repository.name.fl_str_mv Holos - Instituto Federal do Rio Grande do Norte (IFRN)
repository.mail.fl_str_mv holos@ifrn.edu.br||jyp.leite@ifrn.edu.br||propi@ifrn.edu.br
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