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
Please paste two screenshots here, based on the options you chose to complete:
- For Option 1, paste a screenshot of the Benchmark Comparison Graph showing the overall prediction for the energy use given the settings selected.
- For Option 2, paste a screenshot showing the ending point of your 4D simulation.
- For Option 3, paste a screenshot showing your building model in the Assemble web interface.
Option 1: Building Performance Analysis
Upload your brief one-page summary of your recommended settings to reach your building performance goal to ACC Docs, then embed a public link here.
Be sure to include your recommendations for the top 10 most important factors (excluding HVAC). For each of the factors:
- Take a screenshot showing the range of values that you selected to be included in the analysis.
- Briefly explain (in a sentence or two) why you’ve narrowed the range down to the values selected.
These ranges were selected in order to optimize for costs associated with energy usage per m^2/yr
The PV payback limit is the most influential factor in reducing annual energy costs for a commercial building. By optimizing photovoltaic (PV) systems for cost-effective payback, the design minimizes dependence on grid energy, significantly lowering expenses. Similarly, the PV surface limit is crucial, as maximizing the surface area for PV panels increases energy generation, offsetting operational energy needs and driving long-term savings.
The operating schedule plays a vital role in cost reduction by ensuring that systems only run during necessary hours. Adjusting schedules to match actual usage prevents energy waste from lighting, HVAC, and equipment operating unnecessarily. Lighting efficiency further contributes by reducing power consumption through LED fixtures, motion sensors, and daylight harvesting, offering substantial energy savings while maintaining or improving illumination levels.
Plug load efficiency addresses energy consumed by devices and appliances, emphasizing the use of energy-efficient equipment and implementing power-saving measures like automatic shut-off for unused devices. Similarly, roof construction impacts the building's thermal performance by reducing heat gain in summer and heat loss in winter through well-insulated and reflective materials. The remaining factors, such as wall insulation, glazing, and HVAC systems, provide smaller but significant opportunities for improvement. Collectively, these measures create a more energy-efficient and cost-effective building.
Option 2: 4D Simulation
Upload the video file showing your 4D simulation to ACC Docs, then embed a public link here.
Option 3: Model-Based Estimating
Upload your summary report presenting your estimate for the major structural elements in your model to ACC Docs, then embed a public link here.
https://stanford.tryassemble.com/projects/21#views/model/320