Abstract
The use of lighting simulation tools has been growing over the past years which has improved lighting analysis. While computer simulations have proven to be a viable tool for analyzing lighting in physical environments, they have difficulty in assessing the effects of light on occupant’s perception. Evidence-based design (EBD) is a design method that is gaining traction in building design due to its strength in providing means to assess the effects of built environments on humans. The aim of this study was to develop a conceptual framework for integrating EBD with lighting simulation tools. Based on a literature review, it was investigated how EBD and lighting simulation can be combined to provide a holistic lighting performance evaluation method. The results show that they can mutually benefit from each other. EBD makes it possible to evaluate and/or improve performance metrics by utilizing user feedback. On the other hand, performance metrics can be used for a better description of evidence, and to analyze the effects of lighting with more details. The results also show that EBD can be used to evaluate light simulations to better understand when and how they should be performed. A framework is presented for integration of lighting simulation and EBD.
Highlights
The use of simulation tools in general and lighting simulation tools, in particular, have been growing over the recent years [1,2,3,4,5], which led to an improved quality of lighting analysis by providing quantitative and qualitative outputs
Photometric data or performance metrics are the main types of quantitative outputs; rendered images and data visualization that help the interpretation of the results are examples of the qualitative output type [6]
The results of the search for a suitable Evidence-based design (EBD) framework based on literature outcomes are shown
Summary
The use of simulation tools in general and lighting simulation tools, in particular, have been growing over the recent years [1,2,3,4,5], which led to an improved quality of lighting analysis by providing quantitative and qualitative outputs. Today, lighting simulation is considered a primary building information modeling (BIM) use [7,8] and is increasingly incorporated by architects and engineers in the computer-aided design workflow [9], which assists the assessment of alternative solutions during design optimization. This is mainly a good development, but there is a risk of an overreliance on simulations. The use of lighting simulation for a value-driven design process was studied previously by the first author [11]
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