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Estimating the Additional Greenhouse Gas Emissions in Korea: Focused on Demolition of Asbestos Containing Materials in Building

View Article: PubMed Central - PubMed

ABSTRACT

When asbestos containing materials (ACM) must be removed from the building before demolition, additional greenhouse gas (GHG) emissions are generated. However, precedent studies have not considered the removal of ACM from the building. The present study aimed to develop a model for estimating GHG emissions created by the ACM removal processes, specifically the removal of asbestos cement slates (ACS). The second objective was to use the new model to predict the total GHG emission produced by ACM removal in the entire country of Korea. First, an input-equipment inventory was established for each step of the ACS removal process. Second, an energy consumption database for each equipment type was established. Third, the total GHG emission contributed by each step of the process was calculated. The GHG emissions generated from the 1,142,688 ACS-containing buildings in Korea was estimated to total 23,778 tonCO2eq to 132,141 tonCO2eq. This study was meaningful in that the emissions generated by ACS removal have not been studied before. Furthermore, the study deals with additional problems that can be triggered by the presence of asbestos in building materials. The method provided in this study is expected to contribute greatly to the calculation of GHG emissions caused by ACM worldwide.

No MeSH data available.


Flow chart representing the process of calculating GHG emission produced by ACS removal in the entire country of Korea.
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ijerph-13-00902-f005: Flow chart representing the process of calculating GHG emission produced by ACS removal in the entire country of Korea.

Mentions: The final step was to apply the integrated model developed in the previous sections to estimate the GHG emission that would be produced by ACS removal in the entirety of Korea. To accomplish this objective, buildings with roof materials containing ACS were extracted from building registers and classified by local governing unit. In addition, by utilizing building area information from the building register, the total area of all ACS-containing buildings was summed for each local governing unit (Table 7). By applying Equation (3) to the area of ACS-containing building, the area of ACS was calculated for each local governing unit. The total ACS weight per local governing unit was then calculated by applying Equation (4). The weight metric allowed determination of the number of cargo trucks required to transport the total load per local governing unit. By applying the ACS area within each local governing unit to Equation (5), the GHG emission generated during the ACS removal stage of each local governing unit was found. Next, the GHG emission generated during the ACS transportation stage was calculated by applying the required number of cargo trucks for each local governing unit and the distance to the landfills within Equation (6). Finally, the GHG emissions generated during the ACS removal stage and transportation stages were summed to estimate the total GHG emission caused by the full ACS removal procedure in the entire country of Korea. A representation of this methodological flow can be found in Figure 5.


Estimating the Additional Greenhouse Gas Emissions in Korea: Focused on Demolition of Asbestos Containing Materials in Building
Flow chart representing the process of calculating GHG emission produced by ACS removal in the entire country of Korea.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5036735&req=5

ijerph-13-00902-f005: Flow chart representing the process of calculating GHG emission produced by ACS removal in the entire country of Korea.
Mentions: The final step was to apply the integrated model developed in the previous sections to estimate the GHG emission that would be produced by ACS removal in the entirety of Korea. To accomplish this objective, buildings with roof materials containing ACS were extracted from building registers and classified by local governing unit. In addition, by utilizing building area information from the building register, the total area of all ACS-containing buildings was summed for each local governing unit (Table 7). By applying Equation (3) to the area of ACS-containing building, the area of ACS was calculated for each local governing unit. The total ACS weight per local governing unit was then calculated by applying Equation (4). The weight metric allowed determination of the number of cargo trucks required to transport the total load per local governing unit. By applying the ACS area within each local governing unit to Equation (5), the GHG emission generated during the ACS removal stage of each local governing unit was found. Next, the GHG emission generated during the ACS transportation stage was calculated by applying the required number of cargo trucks for each local governing unit and the distance to the landfills within Equation (6). Finally, the GHG emissions generated during the ACS removal stage and transportation stages were summed to estimate the total GHG emission caused by the full ACS removal procedure in the entire country of Korea. A representation of this methodological flow can be found in Figure 5.

View Article: PubMed Central - PubMed

ABSTRACT

When asbestos containing materials (ACM) must be removed from the building before demolition, additional greenhouse gas (GHG) emissions are generated. However, precedent studies have not considered the removal of ACM from the building. The present study aimed to develop a model for estimating GHG emissions created by the ACM removal processes, specifically the removal of asbestos cement slates (ACS). The second objective was to use the new model to predict the total GHG emission produced by ACM removal in the entire country of Korea. First, an input-equipment inventory was established for each step of the ACS removal process. Second, an energy consumption database for each equipment type was established. Third, the total GHG emission contributed by each step of the process was calculated. The GHG emissions generated from the 1,142,688 ACS-containing buildings in Korea was estimated to total 23,778 tonCO2eq to 132,141 tonCO2eq. This study was meaningful in that the emissions generated by ACS removal have not been studied before. Furthermore, the study deals with additional problems that can be triggered by the presence of asbestos in building materials. The method provided in this study is expected to contribute greatly to the calculation of GHG emissions caused by ACM worldwide.

No MeSH data available.