ESTIMATION OF GREENHOUSE GASES (GHG) EMISSIONS FROM A BALL MILL BY LIFE CYCLE ASSESSMENT (LCA) METHOD
Main Author: | |
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Publication Date: | 2022 |
Other Authors: | |
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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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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1798951616092569600 |