Macro-energy model of joint power and hydrogen systems for long-term planning for power and hydrogen infrastructure following the blue to zero carbon hydrogen pathways.
The model is programmed in GAMS and Python and solved using CPLEX.
Run model from MASTER.py. Main options to choose from:
| Option | Description |
|---|---|
runOnSC |
False if run locally, True if run on supercomputer |
coOptH2 |
False if run power system only, True if run joint power and hydrogen system |
h2DemandScr |
Reference if use Reference scenario for hydrogen demand |
interconn |
Three options WECC, EI (Eastern Interconnection), and ERCOT |
reSourceMERRA |
True if use weather data from MERRA, otherwise use weather data from NSRDB and WIND Toolkit |
metYear |
Year of meteorogical data. Dafult is 2012 |
h2Pathway |
blueToZero or Zero |
buildLimitsCase |
1: Reference, 2: limited nuclear, 3: limited CCS and nuclear, 4:limited hydrogen storage, 5:limited transmission |
electrifiedDemand |
True if import electrified demand futures from NREL's EFS |
elecDemandScen |
Level of demand electrification. Options: REFERENCE, 'HIGH', 'MEDIUM' |
balAuths |
full if run for all BAs in interconn, state if run at state resolution |
yearIncDACS |
Default is 2100- Year to include DACS - set beyond end period if don't want DACS |
startYear, endYear, yearStepCE |
Year that planning starts, year that planning ends, and timestep (in years). Default is 2020, 2051, 15 |