Link to Student
Siebers, Eliza
Submitted For
Module 9 - Performance-Based Design
ACC Link - Op 3
Panorama View Link
Please enter the following info in the fields above:
- Link to Student (type the first few letter of your name, then select yourself in the list of linked records)
- Rather than embedding a single link to ACC in the field above, embed the links to each of submission items in the text of your description below.
Images of My Analysis Results
Option 1: Building Performance Analysis
I toyed with all of the variables, but these were the ones that I found to have the biggest impact on the efficiency of my structure.
- Operating schedule: By restricting the building to being open 12/5 to 12/6, I significantly reduced its energy consumption. I thought it made sense that this factor would have the biggest effect on overall cost.
- Plug load efficiency: Restricting the plug load efficiency also had a big impact on the cost of the building’s energy. I assume that keeping loads at 14 W/m^2 or below would only be possible for some types of buildings though.
- Lighting efficiency: Using more efficient lighting also had a significant impact on the total cost. Even with a lot of windows, with so much floor area, this factor makes a big difference.
- Infiltration: I thought that, with so many curtain walls of windows, infiltration would be a larger threat to my energy efficiency. Limiting it still helps the cost, though not as much as I maybe thought.
- Wall construction: I was very surprised by how little the wall construction affected the energy cost of the structure, especially the fact that uninsulated was on par with other options. I decided on R13+R10 Metal somewhat arbitrarily.
- Roof construction: Roof construction also had a minimal impact on the energy cost, but I still limited it to be equivalent or better than the model.
- PV: I thought that the use of solar panels, including their efficiency, limits, and coverage, would have a way bigger impact on the overall efficiency. It seems like the cost and benefit generally balance out the more you add and improve them.
- Daylighting and occupancy controls: Once I learned what this one meant, I was surprised that it had such a minimal impact on energy efficiency, since operating hours and lighting respectively make a big difference. I decided to turn on the controls to add what benefit I could.
- Southern windows: The biggest surprise to me when doing this analysis was the limited impact of different window factors. I decided to leave them as they were in my model, and look at how that affected energy cost.
- Western windows: Similar to above, I was surprised by the limited effect but still restricted the Western windows for optimal efficiency.