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Models and method for estimation and comparison of direct emissions in building construction in Australia and a case study

Abstract Building construction incurs direct emissions from equipment operation and transportation. These emissions at a collective level seem to be high, which alerts contractors who are keen to explore reduction possibilities for emissions. Understanding emission contributions at the activity and equipment level are important to achieve this target. However, none of the past studies have conducted an in-depth analysis to identify direct emissions reduction prospects at the construction stage. This study aims to develop models and method to enable the estimation and analysis of emissions at project, activity and equipment levels in a building construction. A framework is then established to provide a systematic procedure to aid the decision making for reducing direct emissions at the construction stage. A case study of foundation construction in a commercial building is presented to validate and demonstrate the functions of the framework developed. The results show a GHG emission distribution of 77.13%, 13.53% and 9.34% for materials, equipment usage and transportation respectively at the project level. CO and NO x were the governing non-GHG emissions recorded. In-depth equipment level analysis concludes the importance of considering emission rates to compare and identify critical equipment for emission reduction. Activity level analysis ushers the identification of activities with significant emissions from transportation and equipment.
- Wuhan Polytechnic University China (People's Republic of)
- Victoria University Australia
- RMIT University Australia
- Wuhan Polytechnic University China (People's Republic of)
- Victoria University Australia
550, 1202 Building, 0905 Civil Engineering, 510, modelling, energy consumption, College of Science and Engineering, building
550, 1202 Building, 0905 Civil Engineering, 510, modelling, energy consumption, College of Science and Engineering, building
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).60 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
