4.6 Article

Building Simplified Life Cycle CO2 Emissions Assessment Tool (B-SCAT) to Support Low-Carbon Building Design in South Korea

Journal

SUSTAINABILITY
Volume 8, Issue 6, Pages -

Publisher

MDPI
DOI: 10.3390/su8060567

Keywords

B-SCAT; simplified life cycle assessment; life cycle CO2; low-carbon building design

Funding

  1. Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT & Future Planning [2015R1A5A1037548]
  2. National Research Foundation of Korea (NRF) - Korea government (MSIP) [20110028794]
  3. National Research Foundation of Korea [2015R1A5A1037548, 2011-0028794] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Various tools that assess life cycle CO2 (LCCO2) emissions are currently being developed throughout the international community. However, most building LCCO2 emissions assessment tools use a bill of quantities (BOQ), which is calculated after starting a building's construction. Thus, it is difficult to assess building LCCO2 emissions during the early design phase, even though this capability would be highly effective in reducing LCCO2 emissions. Therefore, the purpose of this study is to develop a Building Simplified LCCO2 emissions Assessment Tool (B-SCAT) for application in the early design phase of low-carbon buildings in South Korea, in order to facilitate efficient decision-making. To that end, in the construction stage, the BOQ and building drawings were analyzed, and a database of quantities and equations describing the finished area were conducted for each building element. In the operation stage, the Korea Energy Census Report and the Korea Building Energy Efficiency Rating Certification System were analyzed, and three kinds of models to evaluate CO2 emissions were proposed. These analyses enabled the development of the B-SCAT. A case study compared the assessment results performed using the B-SCAT against a conventional assessment model based on the actual BOQ of the evaluated building. These values closely approximated the conventional assessment results with error rates of less than 3%.

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