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Development of productivitybased estimating tool for energy and air emissions from earthwork construction activities

Development of productivitybased estimating tool for energy and air emissions from earthwork... Purpose This paper aims to present the framework for a model that can be used to estimate the production rate, activity duration, total fuel use, and total pollutants emissions from earthwork activities. A case study and sensitivity analysis for an excavator performing excavations are presented.Designmethodologyapproach 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 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.Findings Results indicate that the excavator productivity model had high precision and accuracy, low bias, with trench depth and bucket size are in the model, it can explain 92 per cent variability of productivity rate data, and can be used as the basis for estimating the fuel quantities that will be required and the total expected pollutant emissions for the project.Practical implications The estimating tool proposed in this paper will be an effective means for assessing the fuel consumptions and air emissions of earthwork activities and will allow equipment owners or fleet managers, policy makers, and project stakeholders to evaluate their construction projects. The tool will help the contractors to estimate the fuel quantities and pollutant emissions, which would be valuable information for a preliminary environmental assessment of the project.Originalityvalue Although there are already methods and models for estimating productivity rate and emissions for heavy duty diesel HDD construction equipment, there currently is not a means for doing all of these at once. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Smart and Sustainable Built Environment Market Emerald Publishing

Development of productivitybased estimating tool for energy and air emissions from earthwork construction activities

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References (15)

Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
2046-6099
DOI
10.1108/20466091311325863
Publisher site
See Article on Publisher Site

Abstract

Purpose This paper aims to present the framework for a model that can be used to estimate the production rate, activity duration, total fuel use, and total pollutants emissions from earthwork activities. A case study and sensitivity analysis for an excavator performing excavations are presented.Designmethodologyapproach 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 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.Findings Results indicate that the excavator productivity model had high precision and accuracy, low bias, with trench depth and bucket size are in the model, it can explain 92 per cent variability of productivity rate data, and can be used as the basis for estimating the fuel quantities that will be required and the total expected pollutant emissions for the project.Practical implications The estimating tool proposed in this paper will be an effective means for assessing the fuel consumptions and air emissions of earthwork activities and will allow equipment owners or fleet managers, policy makers, and project stakeholders to evaluate their construction projects. The tool will help the contractors to estimate the fuel quantities and pollutant emissions, which would be valuable information for a preliminary environmental assessment of the project.Originalityvalue Although there are already methods and models for estimating productivity rate and emissions for heavy duty diesel HDD construction equipment, there currently is not a means for doing all of these at once.

Journal

Smart and Sustainable Built Environment Market – Emerald Publishing

Published: May 24, 2013

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