Theoretical Impact of Building Façade Thickness on Daylight Metrics and Lighting Energy Demand in Buildings: A Case Study of the Tropics

In daylighting design, variation of building façade thickness (f) will result in variation of the daylight opening areas, which in turn will modify the values of daylight metrics within the space. However, studies dedicated to investigating the impact of varying f on indoor daylight metrics are relatively scarce. This study, therefore, aims to assess the theoretical impact of various façade thicknesses on various daylight metrics and lighting energy demands in a reference office space. Analytical calculations are performed using an outdoor diffuse illuminance profile of a tropical city. The building façade thickness values are varied within 0–0.50 m, at window-to-wall ratios (WWR) of 25%, 50%, and 75%. Based on sensitivity analysis, it is found that variation of f yields different impacts on the observed metrics, with sDA300/50% being the least influenced. Among all metrics in the central calculation point, DA300, UDI-a, and UDI-a′ yield relatively small coefficients of variation, and thus, have the lowest uncertainty with respect to f. Among all metrics for the entire room, sDA300/50% and sUDI-a50% have the lowest uncertainty, with interquartile ranges of no more than 0.4%. Overall, the contribution of this study is providing insight into the impact of façade thickness on various daylight metrics in indoor spaces, particularly in the worst-case scenario under the standard CIE overcast sky.

AFGL-Net: Attentive Fusion of Global and Local Deep Features for Building Façades Parsing

In this paper, we propose a deep learning framework, namely AFGL-Net to achieve building façade parsing, i.e., obtaining the semantics of small components of building façade, such as windows and doors. To this end, we present an autoencoder embedding position and direction encoding for local feature encoding. The autoencoder enhances the local feature aggregation and augments the representation of skeleton features of windows and doors. We also integrate the Transformer into AFGL-Net to infer the geometric shapes and structural arrangements of façade components and capture the global contextual features. These global features can help recognize inapparent windows/doors from the façade points corrupted with noise, outliers, occlusions, and irregularities. The attention-based feature fusion mechanism is finally employed to obtain more informative features by simultaneously considering local geometric details and the global contexts. The proposed AFGL-Net is comprehensively evaluated on Dublin and RueMonge2014 benchmarks, achieving 67.02% and 59.80% mIoU, respectively. We also demonstrate the superiority of the proposed AFGL-Net by comparing with the state-of-the-art methods and various ablation studies.

Study of Building Facade in Fishing Industries

Many industrial buildings are growing in Indonesia, one of them being the fishing industry. However, the industry has a monotonous and rigid facade. The facade is an essential element that makes the first impression. This study aims to evaluate how the facade of an ideal industrial building, especially in the fishing industry. The method used is descriptive qualitative on the several parameters of façade design. The results of the study are in the form of an evaluation and guidelines of the ideal facade, in terms of visuals, functions, and the requirements.

Key Success Factors: Application 6D BIM to Reduce Initial Cost, Operational Cost & Maintenance Cost in Project Facade High-rise Office using RII Method

The application of 6D BIM and value engineering in a project is still very rarely studied because BIM is still a new discussion in the project planners' field. The key to the success of implementing BIM 6D is influenced by several factors which will be explained in this study. The purpose of this study was to determine the success factors for applying BIM 6D value engineering to the Façade project of high-rise office buildings in terms of reducing design costs, operating costs, and maintenance costs. Office Building. This factor will be a focus for stakeholders, especially the Office Building Façade project in Indonesia. Keywords: BIM 6D, building façade, Office building, RII.