What is the impact of Window Proportion and number on Daylight Uniformity and spatial daylight availability in semi-arid climate?
Project Location:
Simulation Scale:
Application:
Audience:
What is this graphic showing? Describe the different parts of the graphic and how it communicates the data.
In the picture above, you can see 6 different oriental design alternatives, which were modeled with Rhino 6 and simulated using Climate Studio software. Considering that for all alternatives according to ASHRAE, WWR was 30% and curtains are opened and closed manually, the analysis shows that the daylight uniformity in alternative 3 and then alternative 2 is better than other alternatives. Also, the office that has a horizontal window in the middle of the wall has more than 300 lux in 50% of the space than other alternatives.
What type of graphic is this?
- Diagram
- Other
- Analysis grid
Design Variables
- Passive strategies
Is this part of the ASHRAE-209 cycle?
- Cycle 1 Simple Box Model
What tools were used for the simulation analysis?
- Other
What tools did you use to create the graphic?
- Adobe Illustrator
- Adobe Photoshop
- Grasshopper/Rhino
What was successful and/or unique about the graphic in how it communicates information?
Using the results of this research, a general method for selecting the east window for an office can be provided that can be used for all occupancies and orientations. The numbers and images provided are very illustrative and can be used to examine other criteria for evaluating daylight.
Is there anything else you would like to mention?
Included in the competition:
Simple Box Modeling - see sample question below. You are encouraged to come up with your own
November 16, 2021-January 29, 2022