No existing study provides a closed-form, climate-specific custom window selection matrix that simultaneously weights energy cost, equipment sizing (HVAC first cost), thermal comfort (predicted percent dissatisfied), and daylight autonomy. Furthermore, the role of frame-to-glass ratio and spacer thermal bridging is often neglected.

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