Data Input

The prototype case study was created to show the functionality of stre3am. This page illustrates the typical form of some of the input data, as well as a short description of all the data required. This will reference the excel spreadsheet f0.xlsx which contains all inputs for the model.

Key data¶

The key data refers to information that is used to construct every other data structure of the model. For example, the cardinality of the period and subperiod sets ($\mathcal{P}$ & $\mathcal{P}_1$), location ($\mathcal{L}$), retrofit and new technology sets ($\mathcal{K}_r$ & $\mathcal{K}_n$), etc.

The previous table also contains floating point values for parameters like scaling factors (sf_), etc.

Row to location mapped arrays¶

Several parameters are indexed by location. In this example, $|\mathcal{L}|=10$, thus data like the initial capacity is given as a column vector with 10 rows. I.e.,

The mapping of row to location is the preferred layout in stre3am. Multi-dimensional parameters, e.g., the retrofit electricity intensity factor $\mathtt{r_u}_{kln}$ —which has 3 dimensions, technology, location and node— has a row mapped to location, and uses columns for each combination of technology and node. For example, in the next table $|\mathcal{K}_r|=5$ and $|\mathcal{N}|=2$, which yields 10 columns.

Row to time-slice mapped data¶

A limited amount of input data is indexed by time-slice. This is due to their time-dependency. For example the overall demand changes from time-slice to time-slice yielding an array as follows:

Sheet name reference¶

The input data spreadsheet f0.xlsx has all the relevant information for the prototype case study of stre3am. The following table is a description of the sheets/parameters involved.