Comparison of Simple Linear Regression and Multiple Linear Regressions for Estimating Fuel Use and Emission Rates for Excavators

Fitriani, Heni and Lewis, Phil Comparison of Simple Linear Regression and Multiple Linear Regressions for Estimating Fuel Use and Emission Rates for Excavators. In: International Conference on Construction Material and Structures, University of Johannesburg, November 2014, South Afrika.

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    Abstract

    Healy-duty diesel (HDD) construction equipment consumes a significant amount of fuel and subsequently emits a substantial amount of pollutants into the environment. ln most construction activities, HDD construction equipment is the primary source of emissions. The purpose of this paper is to denlonshate the comparative models for estimating fuel use and emission rates for HDD construction equipment specifically excayators. Second by second data were collected from portable emission measurement system (PEMS), containing fuel use and emiss'ion rates datasets along with engine performance data from tlrree excavators. Emission pollutants include nitrogen oxides (NO*). hydrocarbons (HC), carbon monoxide (CO), carbon dioxide (CO:). and particulate matter (PM). For each excavator, predictive models were developed using simple l:inear regression (SLR) and multiple linear regression (MLR). Results yieided that the MLR accounted for the highest percentage of variability in the data compared to SLR based on the values of coefficient of determination (R:) for each model. ln order to exhibit the significant impact of which engine data that

    Item Type: Conference or Workshop Item (Paper)
    Subjects: T Technology > TA Engineering (General). Civil engineering (General)
    Divisions: Faculty of Engineering > Department of Civil Engineering
    Depositing User: Mrs Heni Fitriani
    Date Deposited: 18 May 2016 11:15
    Last Modified: 18 May 2016 11:15
    URI: http://eprints.unsri.ac.id/id/eprint/6441

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