Literature DB >> 27863771

Selection of emission factor standards for estimating emissions from diesel construction equipment in building construction in the Australian context.

Guomin Zhang1, Malindu Sandanayake2, Sujeeva Setunge2, Chunqing Li2, Jun Fang3.   

Abstract

Emissions from equipment usage and transportation at the construction stage are classified as the direct emissions which include both greenhouse gas (GHG) and non-GHG emissions due to partial combustion of fuel. Unavailability of a reliable and complete inventory restricts an accurate emission evaluation on construction work. The study attempts to review emission factor standards readily available worldwide for estimating emissions from construction equipment. Emission factors published by United States Environmental Protection Agency (US EPA), Australian National Greenhouse Accounts (AUS NGA), Intergovernmental Panel on Climate Change (IPCC) and European Environmental Agency (EEA) are critically reviewed to identify their strengths and weaknesses. A selection process based on the availability and applicability is then developed to help identify the most suitable emission factor standards for estimating emissions from construction equipment in the Australian context. A case study indicates that a fuel based emission factor is more suitable for GHG emission estimation and a time based emission factor is more appropriate for estimation of non-GHG emissions. However, the selection of emission factor standards also depends on factors like the place of analysis (country of origin), data availability and the scope of analysis. Therefore, suitable modifications and assumptions should be incorporated in order to represent these factors.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Keywords:  Australia; Buildings; Construction equipment; Emission factors; Environmental emissions

Mesh:

Substances:

Year:  2016        PMID: 27863771     DOI: 10.1016/j.jenvman.2016.10.068

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  2 in total

1.  Forecasting Nitrous Oxide emissions based on grey system models.

Authors:  Huaping Sun; Jingjing Jiang; Muhammad Mohsin; Jijian Zhang; Yasir Ahmed Solangi
Journal:  Environ Geochem Health       Date:  2019-09-28       Impact factor: 4.609

2.  Is Resilient Transportation Infrastructure Low-Carbon? Evidence from High-Speed Railway Projects in China.

Authors:  Zheng He; Genda Wang; Huihua Chen; Hongyan Yan
Journal:  Comput Intell Neurosci       Date:  2022-04-28
  2 in total

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