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Sustainability 2016, 8(8), 723; doi:10.3390/su8080723

Measuring Carbon Emissions of Pavement Construction in China

1
Department of Construction and Real Estate, Southeast University, Nanjing 210096, China
2
Housing and Urban-Rural Development Bureau of Suzhou, Jiangsu 215002, China
3
State Grid Fujian Economic Research Institute, Fuzhou, 350012, China
*
Author to whom correspondence should be addressed.
Academic Editor: Andrew Kusiak
Received: 24 May 2016 / Revised: 21 July 2016 / Accepted: 25 July 2016 / Published: 28 July 2016
(This article belongs to the Section Energy Sustainability)
View Full-Text   |   Download PDF [1417 KB, uploaded 28 July 2016]   |  

Abstract

While various methodologies for quantifying carbon emissions of pavement construction are developed worldwide, adopting and promoting the existing tools to China’s market is found fairly challenging due to institutional constraints. Therefore, the objectives of this study are to propose a methodology for measuring carbon emissions of pavement construction compatible with the fixed pricing systems prevalent in China; and develop an automatic tool for carbon estimations. The total carbon emissions are measured by aggregating emissions of energy consumption and materials used along with four stages, namely material manufacture, transportation, construction, and disposal. A set of composite carbon emission factors for energy and materials was calculated based on existing emission factors with the consideration of the boundaries concerned. The quantity of energy and materials used in pavement construction are obtained through bills of quantity and the fixed price system. The database of the emission factors for energy and materials was embedded into a C# based tool, and validated in a real case. View Full-Text
Keywords: carbon emission calculation; pavement construction; China carbon emission calculation; pavement construction; China
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Huang, Y.; Ning, Y.; Zhang, T.; Wu, J. Measuring Carbon Emissions of Pavement Construction in China. Sustainability 2016, 8, 723.

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