Reducing transmission expansion by co-optimizing sizing of wind, solar, storage, and grid connection capacity: Raw Data

This dataset contains all GenX model input and results data relevant to the working paper ‘Reducing transmission expansion by co-optimizing sizing of wind, solar, storage, and grid connection capacity.’ Data for each modeled scenario is contained within a folder in the main directory ('Final_Outputs'), using the naming convention p1_2030_case[number]. Scenarios correspond to the following table:

Case Number
Scenario
VRE Cost
Forced Battery Capacity (GW)

1
Fixed Interconnection
Low
3.75

2
Fixed Interconnection
Low
5

3
Fixed Interconnection
Low
7.5

4
Fixed Interconnection
Low
15

5
Optimized Interconnection
Low
3.75

6
Optimized Interconnection
Low
5

7
Optimized Interconnection
Low
7.5

8
Optimized Interconnection
Low
15

9
Co-Located Storage
Low
3.75

10
Co-Located Storage
Low
5

11
Co-Located Storage
Low
7.5

12
Co-Located Storage
Low
15

13
Fixed Interconnection
Mid
3.75

14
Fixed Interconnection
Mid
5

15
Fixed Interconnection
Mid
7.5

16
Fixed Interconnection
Mid
15

17
Optimized Interconnection
Mid
3.75

18
Optimized Interconnection
Mid
5

19
Optimized Interconnection
Mid
7.5

20
Optimized Interconnection
Mid
15

21
Co-Located Storage
Mid
3.75

22
Co-Located Storage
Mid
5

23
Co-Located Storage
Mid
7.5

24
Co-Located Storage
Mid
15

The 'fixed interconnection' scenario describes the scenario where the capacity of interconnection for each solar photovoltaic (PV) or wind site is fixed to assumed values. The 'optimized interconnection' scenario enables the model to independently size the renewable energy to interconnection and grid connection capacity. The 'co-located storage' scenario enables any solar PV or wind resource and storage resource to be sited behind a grid connection point while optimizing the interconnection buildout for each site. These scenarios are further explained in the respective working paper. Renewable energy cost sensitivity tags include ‘low’ for assumed low projected VRE and battery costs in 2030 and ‘mid’ for assumed mid projected VRE and battery costs in 2030. Various storage discharge capacities are forced into the system as a percentage of peak demand and range from 3.75-15 GW. Within each case folder, all of the input files (.csv), result files directly outputted by the model (in the 'Results' folder), and setting files (GenX and solver settings in the 'Settings' folder) can be found. All model outputs are described in detail in the GenX documentation. The code can be found on the GenX GitHub repository: https://github.com/GenXProject/GenX.jl. This work has not yet been peer-reviewed.