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±âÁ¸ °ÇÃ๰ÀÇ ³»Àç ź¼Ò ¹èÃâ·® »êÃâÀ» À§ÇÑ CAD ±â¹Ý ¹°·® ÀÚµ¿È ÃßÃ⠸𵨿¡ °üÇÑ ¿¬±¸ / A Study on the CAD-Based Quantity Automation Extraction Model for the Calculation of Embodied Carbon Emissions of Existing Buildings |
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°ÂùÇõ(Kang, Chan-Hyeok) ; ¹Ú⿵(Park, Chang-Young) ; ¹Ú¼ºÇö(Park, Seong-Hyun) ; ÃÖâȣ(Choi, Chang-Ho) |
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Çѱ¹°ÇÃàģȯ°æ¼³ºñÇÐȸ ³í¹®Áý, Vol.18 No.1 (2024-02) |
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½ÃÀÛÆäÀÌÁö(49) ÃÑÆäÀÌÁö(12) |
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¼øÈ¯°æÁ¦; Àü°úÁ¤ Æò°¡; ³»Àç ź¼Ò ¹èÃâ·®; ijµå; ÀÚµ¿È ÃßÃâ; ź¼ÒÁ߸³ ; Circular economy; Life cycle assessment; Embodied carbon emissions; Computer aided design; Automation extraction; Carbon neutrality |
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While the world has been focusing its efforts on reducing greenhouse gas emissions to address climate change, South Korea has seen the highest increase in per capita CO2 emissions among OECD countries, necessitating a government-level response. The South Korean government has been implementing various policies to reduce greenhouse gases emitted during the construction and operation phases of buildings. These policies primarily focus on reducing energy usage in buildings and installing renewable energy sources, but research on carbon reduction technologies through resource conservation and recycling is still lacking. Nonetheless, reducing carbon emissions over the course of a building¡¯s life cycle of buildings is becoming increasingly important, and Life Cycle Assessment (LCA) is an indispensable method for this purpose. The LCA uses the quantity of building materials used in construction, and to support this, study was conducted to develop a CAD-based automated quantity extraction model. However, this model has shown an error rate of 5-20%, failing to fully account for manual errors by workers and the complexity of construction sites. To address this issue, further research is needed to develop a more accurate prediction model for the quantity of building materials. |