Utilization of LiDAR and Big Data in Daylight Concept Design Process Integrated with a Parametric Approach

Abstract

Indonesia is presently in the era of the Industrial Revolution 4.0 where data and information are important in the architectural design process, specifically for the daylight design at the initial observation stage. This is considered necessary because architecture students generally have problems obtaining accurate and measurable data for sunlight, wind direction, road patterns around the site, and others. Therefore, this study focuses on considering the quality of sunlight in the design of high-rise buildings using an integrated workflow which involves recording location conditions with LiDAR technology and combining them with Geospatial data summarized in Big Data through OpenStreetMap. Moreover, the Ciputra University campus area was used as the case study, also this was conducted using experimental methods. It is important to note that site conditions and the external environment are considered to be an important part of the design process. Therefore, the experiment was initiated by recording the existing conditions of the area and combining the findings with the vector data through OpenStreetMap and this was followed by the determination of the current condition, and the findings were also combined with the vector data through the same application. Furthermore, a parametric-based simulation process was performed using Rhinoceros, Grasshopper, Elk, Ladybug, and Climatestudio software. The result showed a series of integrated workflows in the form of visual scripting that makes it easy for designers to conduct a design process integrated with the Rhinoceros software but the workflow requires special knowledge of environmental data and using parametric-based software.