scholarly journals Sensitivity analysis of design parameters of envelope enclosure performance in the dry-hot and dry-cold areas

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Pingan Ni ◽  
Wanjiang Wang ◽  
Hanjie Zheng ◽  
Wensi Ji

Abstract In a bid to quantify the sensitivity of envelope enclosure’s design parameters in the dry-hot and dry-cold areas and to provide a reference for the local building performance design, this paper uses ANN modelling which combined with the improved Garson algorithm to calculate the connection weight sensitivity (CWS), the first-order sensitivity (RBD-S1 and DMIM-S1) and the global sensitivity (DMIM-delta) of the design parameters. These parameters were calculated by using different methods in SALib. Through the verification and analysis of the sensitive result, the applicability of the CWS and DMIM-delta was confirmed. Among the design parameters involved in this study, the sum of the sensitive values of S-D, S-N and S-A exceeds 60% in each performance label, and the sum of the sensitive values of WWR_S and WWR_N exceeds 20%. The performance design of envelope enclosure in this area requires applying reasonable shading components and appropriate optimisation of the North and South of WWR. After the sensitivity analysis process, the calculation efficiency of the model can be improved as far as possible without reducing the accuracy of the model in the later simplified calculation and multi-objective optimisation. The building performance simulation model has a high degree of non-linearity, and the interpretability of the model can be enhanced through the sensitivity analysis process. Although the internal calculation process is unknowable, the perception of the results caused by the input parameters is significantly enhanced.

2017 ◽  
Vol 12 (1) ◽  
pp. 45-61 ◽  
Author(s):  
Xiaohuan Xie ◽  
Zhonghua Gou

INTRODUCTION Current green building practice has been largely advanced by an integrated design process. This integrated design process involves multiple disciplines, such as architecture, civil, mechanical, and electrical engineering. The design method heavily relies on utilizing building performance simulation to illustrate how design parameters affect the energy consumption and quality of the indoor environment before actual design decisions are made (Anderson, 2014). The architectural design tools in the integrated design process supersede traditional geometrical exploration instruments, such as Sketchup, Revit, ArchiCad, and Rhino (Negendahl, 2015). More building performance simulating tools, such as Ecotect, Computational Fluid Dynamics (CFD), Radiance, and EnergyPlus, have been developed to help architects measure building performance (e.g., natural ventilation, daylighting, solar radiation, and energy uses) in the design process and attain green building standards such as Leadership in Energy and Environmental Design (LEED). The information presented by these tools guide architects at a certain level in achieving green building goals. However, building simulation is generally beyond the architect's knowledge domain. Many architects have difficulty in understanding these technical terms and models, as well as their design implications. Therefore, specific consultants have emerged to help architects grasp the meanings of these numbers and models, which require architects to implement a high level of design collaboration and coordination (Aksamija, 2015; Gou & Lau, 2014). Simulation consultants can work in parallel with architects at the early design stage to intervene in the conceptual and schematic design; they may also work behind architects to verify the building performance after the design is finished and make their design green through technical alterations. Most existing literature argues for an early intervention of building performance simulation in the architectural design process and explores different algorithms or models for optimal intervention (Degens, Scholzen, & Odenbreit, 2015; Sick, Schade, Mourtada, Uh, & Grausam, 2014; Svetlana Olbina & Yvan Beliveau, 2007). However, the difference between early intervention and late verification is often not investigated. Few qualitative studies can help understand how the building performance simulation is actually implemented, and how it influences the quality of design solutions in addition to the quantity of performance outcomes. The current research presents two case studies that compare building performance simulation as an early intervention and a late verification tool in the architectural design process, which contextualizes the building simulation research in real building practices.


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