Outputs
Folder Structure
The structure of an EnergyPATHWAYS scenario is shown below. Under the Scenario 1 directory a new folder is established for each case. Within each case folder, outputs get written. After all cases are finished, results get appended in an _aggregate_outputs_EP folder. The EP2RIO folders are files generated specifically for the RIO capacity expansion model.
EP scenarios
├── Scenario 1
│ ├── _aggregate_outputs_EP
│ │ ├── demand_outputs
│ │ │ ├── d_annual_costs.csv
│ │ │ ├── d_driver.csv
│ │ │ ├── d_energy.csv
│ │ │ ├── d_levelized_costs.csv
│ │ │ ├── d_sales.csv
│ │ │ ├── d_service_demand.csv
│ │ │ ├── d_stock.csv
│ │ ├── EP2RIO
│ │ │ ├── DEMAND_LEVELIZED_COSTS.csvd
│ │ │ ├── ShapeData
│ │ │ ├── EXO_DEMAND.csv
│ │ │ ├── SHAPE_META.csv
│ └── Case 1
│ │ ├── demand_outputs
│ │ ├── EP2RIO
│ │ ├── Case 1_demand_model.p
│ │ ├── solve.true
│ └── Case 2
│ └── Case 3
│ └── logs
│ │ ├── energyPATHWAYS log.log
│ └── config.INI
│ └── runs_key.csv
Output Files
d_annual_costs.csv
Annual spending on demand-side equipment (water heaters, vehicles, etc.) and efficiency measures. These costs are not levelized and represent actual needed outlays in each year.
d_driver.csv
Underlying drivers of demand stock and service demand projections (ex., households; heating degree days).
d_energy.csv
Final energy demand by technology and final energy type (ex., pipeline gas consumed by a residential natural gas furnace).
d_levelized_costs.csv
Demand-side equipment capital costs which are translated into annualized costs.
d_sales.csv
Quantity of demand-side equipment purchased each year by technology (ex., number of electric vehicles sold in each year)
d_service_demand.csv
Projections of energy service demands by demand sub-sector (ex., vehicle miles traveled; lumen-hours; etc.)
d_stock.csv
Quantity of demand-side equipment stocks by technology (ex., electric vehicles; water heaters).
Index Descriptions: - Unit: unit of demand technology stock. For example, the unit for commercial water heaters is kiloBTU capacity.
Output Terminology
In addition to indices specific to each file, the following includes a list and description of common indices:
- Geography
The primary geography defines the geographic granularity for an EP run.
- Sector
Demand sectors that include residential, commercial, transportation, and productive (industrial and agricultural sectors excluding those that are part of the energy supply chain, Ex. refining)
- Subsector
More detailed units of demand analysis. Associated with unique energy service demands. Ex. residential water heating.
- Final Energy
An energy type consumed to satisfy energy service demand. Differentiated from upstream energy use that is consumed to produce final energy.
- Scenario
Scenario name
- Year
Corresponding year of outputs.