Can you guarantee that the completed building will match the performance predicted by the analysis in its day-to-day operations?
- Why or why not?
- You cannot guarantee that the completed building will match the performance predicted by the analysis in its day-to-day operations. The performance analysis was a prediction based on past weather patterns and as we know, unfortunately, these trends are becoming more unpredictable over time and it might be hotter and drier than predicted by BIM technology. The prediction also uses average power usage based on other offices but a performance analysis won’t be accurate to your specific building unless you hire a specialist to measure your usage.
When choosing settings for each of the building performance factors, should you always choose the setting that gives the absolute lowest predicted energy use?
Choosing the absolute lowest predicted energy use for building performance factors might sound like a good idea to show impressive stats to a stakeholder, but in reality, it’s not a good idea. A good reason to analyze the building performance factors of a proposed design is to see what changes can be made to improve its energy efficiency (changing walls/windows, materials, orientation, etc). ”Cheating” the numbers is cheating yourself and your stakeholders out of a better design.
How can you use Insight feedback to make design choices regarding materials, lighting, PV, etc.?
4D simulations are often used to show the construction sequence for an entire project, but shorter simulations that focus on a specific period of time are also useful.
- Can you provide examples of how a simulation that focuses on a 1 or 2 week period could be useful for planning?
What level of detail should be included in a 4D simulation?
- Should you include all of the elements in the building model?
How can the feedback shown in a 4D simulation help you to optimize the project schedule?
- What are the main benefits of linking model elements to the project schedule?
How can model-based quantity takeoff improve the design process?
How can designers improve their designs using the information provided by preliminary estimates of the cost of building their design ideas?
Model-based quantity takeoff can improve the design process by pushing for a more efficient design. If a designer makes something without prioritizing the cost of the building, they might get carried away and accidentally generate a design that’s over budget. They can use this to scale back their design or get creative and create something just as evocative but with fewer expenses. It’s better to be over budget on a preliminary estimate of a model than once construction has already started.