Development of Productivity-based Estimating Tool for Fuel Use and Emissions from Earthwork Construction Activities

Abstract

See, stats, and : https : / / www . researchgate . net / publication / 263993750 Development - based Tool Earthwork . . . Article DOI : 10 . 6106 / JCEPM . 2013 . 3 . 2 . 058 CITATIONS 3 READS 114 2 : Some : Android Apif State 14 SEE Phil Oklahoma - Stillwater 26 SEE All . The . KICEM Journal of Construction Engineering and Project Management Online ISSN 2233 - 9582 58 www . jcepm . org http : / / dx . doi . org / 10 . 6106 / JCEPM . 2013 . 3 . 2 . 058 Abstract : Earthwork activities are typically performed by heavy duty diesel (HDD) construction equipment that consumes large quantities of diesel fuel use and emits large quantities of pollutants , including nitrogen oxides (NOx) , particulate matters (PM) , hydrocarbon (HC) , carbon monoxide (CO) , and carbon dioxide (CO 2) . This paper presents the framework for a model that can be used to estimate the production rate , activity duration , total fuel use , and total pollutants emissions for earthwork activities . A case study and sensitivity analysis for an excavator performing excavations are presented . The tool is developed by combining the multiple linear regressions (MLR) approach for modeling the productivity with the EPA ' s NONROAD model . The excavator data from RSMeans Heavy Construction Data were selected to build the productivity model , and emission factors of all type of pollutants from NONROAD model were used to estimate the total fuel use and emissions . The MLR model for the productivity rate can explain 92% of the variability in the data . Based on the model , the fuel use and emissions of excavator increase as the trench depth increase , but as the bucket size increase , the fuel use and emissions decrease .