In order to accomplish this I created a database of assembly costs from a current RS Means catalogue, and then used Revit to calculate the amount of each assembly in each model. Once the basic system was set up it was rather quick to generate the data for the various iterations.
For the real estate data I did a sampling of property for sale as listed on the online MLA database, and then calculated an average for each of the basic categories of land that I identified.
One thing that this analysis is missing is a calculation of the mechanical systems for each option. This is especially important because in the last analysis it seemed that the system selection had the greatest effect on energetic performance. Another thing that is currently missing is a synthesis of the analysis from the two assignments: energy vs. cost.
The Graphs
The first set of graphs illustrates the relative assembly costs of the various building forms. Of note is that in the stacked model the lifts and extra floors become a sizable percentage of the cost.
The second set of graphs represent the cost to upgrade each building type with 4" of eps insulation over all exterior walls and ceilings, as proposed in the "super insulation" option. It also shows the costs of the options relative to each other. The stacked option is higher than the others, but not exorbitantly so. The Second graph in this series shows the cost of each assembly in relation to each of the other options.
The third set of graphs looks at the cost of construction in relation to land. Considering only the land needed to build the store (as parking would be consistent across the models) the stacked option begins to look much more attractive in all cases except where land is dirt cheap.
