What is the impact of window-to-wall ratio on daylight autonomy and energy performance in different orientations in south Brazil?

Project Location: Zone 0A Extremely Hot Humid

Simulation Scale: Shoebox Model

Application: Conceptual

Audience: Public/Stakeholder

What is this graphic showing? Describe the different parts of the graphic and how it communicates the data.

The graphic evaluates the impact of the window-to-wall ratio (WWR) on Daylight Autonomy (sDA) and Energy Use Intensity (EUI) across different orientations for an office building in southern Brazil. At the top, the input parameters used for modeling the shoebox building are displayed, including location, dimensions, building type and key characteristics. The middle section illustrates the sun path in relation to the window for each orientation, providing insight into solar exposure throughout the day. At last, the bottom section presents the results, indicating areas where daylight autonomy is insufficient and identifying the optimal WWR for each orientation to balance daylighting performance and energy efficiency.

What type of graphic is this?

Design Variables

What tools were used for the simulation analysis?

What tools did you use to create the graphic?

What was successful and/or unique about the graphic in how it communicates information?

The graphic communicates performance relationships by integrating multiple layers of analysis — WWR, EUI, SDA, and solar orientation — into a single visual framework, allowing for immediate identification of the most balanced design strategies for each façade. The project uniqueness also lies in applying these analysis to the climatic conditions of southern Brazil, adding regional relevance.

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