Chenxin

• For 2 or More Units: Create Two New Evaluator Nodes
• Images showing the node logic in your new evaluator nodes
• An Image/screenshot of your summary table (created in Word, Excel, Google Sheets, or any data table tool) showing the input values tested and the values computed for each of the reported parameters

I create two custom node and the first one is to calculate the building’s total wind load and the second one is to calculate the total carbon emission during the whole construction process including the materials produce and transport and the construction.

1. total wind load

I calculate the wind load with the formula: F = 0.5 * p * v^2 * C * S.

p represents the air density and is estimated as 1.225, v is the wind speed and it changes as the height change. I searched from the internet and found that in this area in Dubai, the minimum of the wind speed is 6m/s and the maximum is 28m/s, and the change process can be estimated as a linear function. C is the resistance parameter and set to be 1.3 and S represents the winding area which is approximately equal to 40% of the surface area.

In the node, I first create a list of the exterior surface area for each level, and then get a list of wind speed based on the height and finally use the formula to compute the total wind load for the building.

We need to compute the building's wind load to ensure structural stability and safety by designing it to withstand the forces exerted by wind.

2. total carbon emission for both material producing and transport and construction process

I divide the carbon emission from construction into two parts, one is the from the material produce and transport and the other is from the construction process. I searched for information and found that the material carbon emissions per square meter of building area in the Dubai area where the building is located are approximately 500 kg CO ₂/m ², Construction carbon emissions per cubic meter of building volume: approximately 100 kg CO ₂/m ³ . The calculation formula for carbon emissions of materials is the “total building area * material emission coefficient”. For construction, the calculation formula is the “total building volume * construction emission coefficient * height factor”. As we know, as the height increases, the difficulty and risk for construction will increase and thus leading to more carbon emission so I add a height factor to control that.

In the node, I first create a list of the floor volume to compute the construction process carbon emission because it is related to the level so I need floor volume for each level. Then I compute the total material carbon emission from the produce and transport, using the Gross floor area. Finally I add these two and get the total carbon emission.

We need to calculate total construction carbon emission to assess the environmental impact and promote sustainable building practices by reducing greenhouse gas emissions.

Then I integrate the two custom node into the testing node logic and make it work.

This is the result for the five parameter I tested as the mid rotation changed from -45 degree to 75 degree with a step of 10 degree.

It is clear that, when the mid rotation is -45 degree, the wind load is the largest. And because the total carbon emission is related to floor area and volume, so when the rotation is 25 degree, these three parameters all get to the peak.

points to ponder:

1. Do the new evaluation metrics capture the meaningful differences between the building form alternatives?

Yes, the wind load metric captures differences in structural stability and safety, while the total carbon emission metric reflects the environmental impact of each building form alternative. We need to compute the building's wind load to ensure structural stability and safety by designing it to withstand the forces exerted by wind and we need to calculate total construction carbon emission to assess the environmental impact and promote sustainable building practices by reducing greenhouse gas emissions. These metrics provide a comprehensive evaluation of both safety and sustainability.

2. What other metrics would be useful to compute to help understand and make the case for which alternatives are truly better than others?

Solar energy potential: Assesses the building's ability to harness solar energy, which is crucial for promoting renewable energy usage and reducing dependency on non-renewable energy sources. Energy Use Intensity (EUI): Measures the building's energy efficiency. Daylight Factor: Evaluates natural light availability within the building. Operational Cost: Estimates the long-term operational and maintenance costs. Water Usage: Assesses the building's water consumption efficiency. Indoor Air Quality (IAQ): Evaluates the quality of air inside the building, impacting occupant health and comfort.

• For 3 or More Units: Develop a Single-Objective Optimization Scheme
• Brief descriptions outlining:
• Your Single-Objective Optimization scheme (combination/comparison/ranking approach)
• An Image/screenshot of your summary table (created in Word, Excel, Google Sheets, or any data table tool) showing the input values tested and the values computed for each of the reported parameters.
• Be sure to highlight your top 3 recommended design alternatives (for either one the example building forms or the new building form that you designed) and recommend the one design that you consider to be the “best”.
• An explanation of why you consider the recommended building form to be the “best” choice
• For 4 Units: Visualize the Recommended Alternative
• Images/screenshots showing the recommended building form based on your evaluation and analysis.
• If created in Revit or Grasshopper, show the panelized building form with visual feedback showing how your panels reflect one of the evaluations computed for the panels.
• If created in Autodesk Forma, share images/screenshots showing the results of the Daylight, Wind, and Solar Energy analysis.
• Your answers to the Points to Ponder questions for each stage of the assignment that you completed.