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A Framework for Quantifying Carbon Emissions Generated During Demolition Waste Processing

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Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate
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Abstract

Massive demolition waste has been generated during urban renewal activities in China. Within the waste treatment and disposal procedures, tremendous carbon emissions have been generated due to energy consumption and exhaust emission from machines and vehicles operation. However, there is no attempt has been tried to quantify the carbon emission of demolition waste processing. This paper proposes a framework for quantifying the carbon emission during demolition waste treatment and disposal procedures. The results showed that the framework for quantifying carbon emissions from demolition waste processing involves seven main stages: set the aims of study; build the model and decide the system boundary; identify the carbon emission factors; construct equations to quantifying the carbon emission factors (CEFs); obtain the data inventory for CEFs; calculate the carbon emissions and; output and analysis the results. From the generation to the final disposal, demolition waste processing involves four main stages: generation, onsite treatment, transport and disposal. When using the quantification model, both direct and indirect carbon emission need to be considered. This paper provides a practical framework for scholars to quantify carbon emission from demolition waste processing.

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Acknowledgements

This study was supported by the Scientific Research Foundation of Introduced High Talent Financial Subsidies of Shenzhen University (000044), National Natural Science Foundation of China (NSFC) (21507090), NSFC (71272088), and NSFC (51478267).

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Correspondence to J. Y. Wang .

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Li, Y. et al. (2018). A Framework for Quantifying Carbon Emissions Generated During Demolition Waste Processing. In: Chau, K., Chan, I., Lu, W., Webster, C. (eds) Proceedings of the 21st International Symposium on Advancement of Construction Management and Real Estate. Springer, Singapore. https://doi.org/10.1007/978-981-10-6190-5_7

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