Can you guarantee that the completed building will match the performance predicted by the analysis in its day-to-day operations?
No, you cannot guarantee that a completed building will match the performance predicted by the analysis. It is possible that the building uses more or less energy for a number of factors. For example, the building might operate on a different schedule than anticipated. Additionally, the facilities may be used to run energy-inefficient appliances/technology.
When choosing settings for each of the building performance factors, should you always choose the setting that gives the absolute lowest predicted energy use?
No, you have to strike a balance between energy use and the cost associated with implementing that choice. For example, a heavily insulated roof may seem like the best option because it is the lowest predicted setting, but in reality it may cost more to install that roof than you could ever make back in energy efficient savings.
How can you use Insight feedback to make design choices regarding materials, lighting, PV, etc.?
You can use insight to compare and contrast different design elements based on cost and efficiency. This is an easy way to explore different combinations of materials, lighting, etc. and make choices based on the big pictures of how these building aspects work together, rather than choosing each element separately and ending up without the most cost and energy efficient end product.
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?