Scan to BIM 기반 리모델링 대안 선정 기술

Abstract

The domestic building sector accounts for 21% of the total energy consumption and 24.7% of the total greenhouse gas emissions. Korea declared carbon neutrality by 2050 in October 2020 and became the 14th country in the world to legislate carbon neutrality when the Framework Act on Carbon Neutral and Green Growth on responding to the climate crisis called the National Assembly in August 2021. In order to achieve carbon neutrality in 2050, it is essential to reduce greenhouse gas emissions by reducing energy consumption in the building sector. Accordingly, the government made various efforts such as strengthening legal standards, discovering urban regeneration-linked project models, and supporting energy performance of public buildings. In addition, although the green renovation project is actively underway to improve the energy performance of old buildings, difficulties are occurring in the process of selecting appropriate renovation alternatives due to the absence of existing drawings.

Therefore, this study intends to propose a technology for selecting an appropriate renovation alternative based on Scan to BIM. The results developed through the study are largely composed of two stages. First, 3D scanners, drones, and GNSS equipment are used to scan existing buildings, and 3D BIM modeling is performed based on them. Next, a Dashboard module is created through an Excel spreadsheet and a renovation alternative is presented to the user. Through the previously constructed BIM model, information such as area and volume is acquired and input to the Dashboard module to evaluate the energy performance of the building and analyze the economy. By combining materials applied to green renovations, alternatives are created and energy performance assessments and economic analysis values by alternatives are compared to present an optimal renovation alternative according to the energy saving improvement level selected by the user.

Through the developed module, users who lack expertise or have difficulty using energy simulations can roughly estimate energy performance, which has the advantage of securing evidence for selecting remodeling alternatives and high work efficiency. In addition, it is expected that reasonable alternatives can be selected according to the purpose of the user because alternatives are selected and represented compared to the initial investment cost and payback period.