Combining Off-the-Job Productivity Regression Model with EPA’s NONROAD Model in Estimating CO2 Emissions from Bulldozer

Heavy duty diesel (HDD) construction equipment which includes bulldozer is important in infrastructure development. This equipment consumes large amount of diesel fuel and emits high level of carbon dioxide (CO2). The total emissions are dependent upon the fuel use, and the fuel use is dependent upo...

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Main Authors: Apif M. Hajji, Aisyah Larasati, Michael P. Lewis
Format: Article
Language:English
Published: Petra Christian University 2017-09-01
Series:Civil Engineering Dimension
Subjects:
Online Access:http://puslit2.petra.ac.id/ejournal/index.php/civ/article/view/20321
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spelling doaj-163cfb90dd0d4501a09bfcf8780e72cc2020-11-24T23:01:20ZengPetra Christian UniversityCivil Engineering Dimension1410-95301979-570X2017-09-011927378Combining Off-the-Job Productivity Regression Model with EPA’s NONROAD Model in Estimating CO2 Emissions from BulldozerApif M. Hajji0Aisyah Larasati1Michael P. Lewis2 Heavy duty diesel (HDD) construction equipment which includes bulldozer is important in infrastructure development. This equipment consumes large amount of diesel fuel and emits high level of carbon dioxide (CO2). The total emissions are dependent upon the fuel use, and the fuel use is dependent upon the productivity of the equipment. This paper proposes a methodology and tool for estimating CO2 emissions from bulldozer based on the productivity rate. The methodology is formulated by using the result of multiple linear regressions (MLR) of CAT’s data for obtaining the productivity model and combined with the EPA’s NONROAD model. The emission factors from NONROAD model were used to quantify the CO2 emissions. To display the function of the model, a case study and sensitivity analysis for a bulldozer’s activity is also presented. MLR results indicate that the productivity model generated from CAT’s data can be used as the basis for quantifying the total CO2 emissions for an earthwork activity.http://puslit2.petra.ac.id/ejournal/index.php/civ/article/view/20321Bulldozer; CO2 emissions; EPA’s NONROAD model; productivity rate.
collection DOAJ
language English
format Article
sources DOAJ
author Apif M. Hajji
Aisyah Larasati
Michael P. Lewis
spellingShingle Apif M. Hajji
Aisyah Larasati
Michael P. Lewis
Combining Off-the-Job Productivity Regression Model with EPA’s NONROAD Model in Estimating CO2 Emissions from Bulldozer
Civil Engineering Dimension
Bulldozer; CO2 emissions; EPA’s NONROAD model; productivity rate.
author_facet Apif M. Hajji
Aisyah Larasati
Michael P. Lewis
author_sort Apif M. Hajji
title Combining Off-the-Job Productivity Regression Model with EPA’s NONROAD Model in Estimating CO2 Emissions from Bulldozer
title_short Combining Off-the-Job Productivity Regression Model with EPA’s NONROAD Model in Estimating CO2 Emissions from Bulldozer
title_full Combining Off-the-Job Productivity Regression Model with EPA’s NONROAD Model in Estimating CO2 Emissions from Bulldozer
title_fullStr Combining Off-the-Job Productivity Regression Model with EPA’s NONROAD Model in Estimating CO2 Emissions from Bulldozer
title_full_unstemmed Combining Off-the-Job Productivity Regression Model with EPA’s NONROAD Model in Estimating CO2 Emissions from Bulldozer
title_sort combining off-the-job productivity regression model with epa’s nonroad model in estimating co2 emissions from bulldozer
publisher Petra Christian University
series Civil Engineering Dimension
issn 1410-9530
1979-570X
publishDate 2017-09-01
description Heavy duty diesel (HDD) construction equipment which includes bulldozer is important in infrastructure development. This equipment consumes large amount of diesel fuel and emits high level of carbon dioxide (CO2). The total emissions are dependent upon the fuel use, and the fuel use is dependent upon the productivity of the equipment. This paper proposes a methodology and tool for estimating CO2 emissions from bulldozer based on the productivity rate. The methodology is formulated by using the result of multiple linear regressions (MLR) of CAT’s data for obtaining the productivity model and combined with the EPA’s NONROAD model. The emission factors from NONROAD model were used to quantify the CO2 emissions. To display the function of the model, a case study and sensitivity analysis for a bulldozer’s activity is also presented. MLR results indicate that the productivity model generated from CAT’s data can be used as the basis for quantifying the total CO2 emissions for an earthwork activity.
topic Bulldozer; CO2 emissions; EPA’s NONROAD model; productivity rate.
url http://puslit2.petra.ac.id/ejournal/index.php/civ/article/view/20321
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