Digital‐Twin‐Based Evaluation of Nearly Zero‐Energy Building for Existing Buildings Based on Scan‐to‐BIM

Abstract

In recent years, the global energy environment has become increasingly severe, and the problems such as global warming, soaring carbon emissions, and excessive use of petrochemical energy have attracted increasing attention from all walks of life. The construction industry, which accounts for about 30% of the total energy consumption, needs to effectively manage and use renewable energy. The application of building information model (BIM) in the evaluation of retrofitting schemes of existing buildings is one of the main research issues in the field of building digital twins at present. The method of this research is to use 3D laser scanning technology to efficiently create the building energy model (BEM) of existing buildings and to identify and evaluate the feasibility of existing building retrofitting schemes. The purpose of this research is to evaluate the retrofitting scheme of existing buildings based on the concept of nearly zero-energy buildings (nZEBs), aiming to improve the energy efficiency of existing buildings and use clean energy to satisfy building energy demand. According to the case study in this paper, an nZEBs solution suitable for the building can reduce building energy costs by 14.1%, increase solar photovoltaic power generation by 24.13%, and reduce carbon dioxide emissions by 4306.0 kg CO2eq/a.

Relationship between digital twin and building information modeling: a systematic review and future directions

“…Therefore, proposed a new hierarchy flow chart for a digital model to emphasize the technical and financial viability of NZEB for existing facilities. In addition, Zhao et al (2021) proposed a technique that uses scan-to-BIM and DT to evaluate NZEB retrofitting schemes by analyzing energy consumption and carbon emission indicators of existing facilities using scan-to-BIM and DT. Urban planning and policy decisions can be modeled using the data generated by DT.…”

“…Pan and Zhang (2021) recommend future researchers use information fusion by collecting and merging multiple sources of monitoring data. Moreover, Zhao et al (2021) suggested that researchers should apply more retrofitting technologies to existing buildings and provide more financial data as well as more data integration into the established BIM. Liu et al (2021) recommended that more validation data samples should be collected.…”

Application of Terrestrial Laser Scanning (TLS) in the Architecture, Engineering and Construction (AEC) Industry

“…Compared to other general techniques like a total station, the main advantage of terrestrial laser scanning is the fast collection of high-density points with x, y, z coordinates and RGB and intensity values, which can be further used in reconstructing a 3D model of objects in construction environments. With the development of TLS and modeling approaches, relevant studies have been conducted on the reconstruction of different objects, including buildings [ 49 , 51 , 53 , 54 , 58 , 60 , 61 , 65 , 70 , 72 ], civil infrastructure and its components (bridges [ 55 , 62 , 63 , 64 , 73 , 74 , 75 , 76 , 77 ], tunnels [ 50 ], precast concrete elements [ 71 , 79 ], removable floodwalls [ 56 ], bridge piers [ 66 ], pipe racks [ 52 ]), and construction sites [ 67 , 68 , 69 ]. The process of 3D model reconstruction using TLS can be classified into three main phases: (1) data collection, (2) data pre-processing, in which the critical task is to register multiple scans in a common coordinate system, and (3) modeling.…”

Digital Twins-Based Impact Response Prediction of Prestressed Steel Structure

“…Cui et al [4] presented a method that couples linear structures with three-dimensional surfaces to automatically reconstruct 3D models of indoor environments using point cloud data from mobile laser scanning. Zhao et al [5] used 3D laser scanning to efficiently create the building energy model of existing buildings and to identify and evaluate the feasibility of existing building retrofitting schemes. Kim et al [6] used BIM, 3D laser scanning, and intelligent algorithms for automated spatial analysis to help solve the problems derived from arrangement and installation of complex structures.…”