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http://dx.doi.org/10.12652/Ksce.2017.37.4.0717

Experimental Research for CO2 Emission Estimation of Medium-Scale Excavator Reflecting Work Characteristics  

Kim, Seung Hyun (Jeju National University)
Lee, Dong Wook (Jeju National University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.37, no.4, 2017 , pp. 717-727 More about this Journal
Abstract
Researches on the emissions of greenhouse gases in the construction industry, which accounts for 40% of raw materials, 30% of energy consumption, and 30% of $CO_2$ emissions in the entire industry, are mainly focused on studies of LCA. However, it is assessed that $CO_2$ emissions are higher in construction sequence than in operation sequence. Also, it is considered that construction machinery using fossil fuel is a main factor causing environmental load in construction sequence. Therefore, this study analyzes the workload and engine RPM characteristics of the excavator which is the second largest number of registered construction machinery in Korea and the highest utilization rate in actual construction site. The excavator is divided into non-load states and load states where power is transmitted to the excavator. The exhaust gas is analyzed by a direct measurement method using PEMS equipment. $CO_2$ emissions are estimated by analyzing the relationship between RPM and exhaust emission characteristics according to the actual driving conditions. Additionally, we analyze the difference between $CO_2$ emissions of construction machine calculated by this study and $CO_2$ emissions calculated by using carbon emission coefficient.
Keywords
$CO_2$ emission; Excavator; Productivity; Engine load; Correlation;
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Times Cited By KSCI : 4  (Citation Analysis)
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