def main():
# only called if solve.py is executed from a command line
# (not called by 'import solve')
parser.add_argument('--tag', type=str)
parser.add_argument('--ph_year', type=int)
parser.add_argument('--ph_mw', type=float)
parser.add_argument('--biofuel_limit', type=float)
parser.add_argument('--dr_shares', nargs='+', type=float)
parser.add_argument('--ev_flat', action='store_true', default=None)
# Note: ev_flat has to have None as default, otherwise it's always considered to be set
# True or False on the command line and that overrides the scenario definitions.
cmd_line_args = scenarios.cmd_line_args()
required_scenarios = scenarios.get_required_scenario_names()
if len(required_scenarios) > 0:
# user specified some specific scenarios to run
for s in required_scenarios:
# flag that the scenario is running/completed
scenarios.report_completed_scenario(s)
# get the scenario definition, including any changes specified on the command line
args = scenarios.get_scenario_args(s)
# solve the model
print "\n\n======================================================================="
print 'running scenario {s}'.format(s=append_tag(s, args["tag"]))
print 'arguments: {}'.format(args)
print "======================================================================="
solve(**args)
else:
# they want to run the standard scenarios, possibly with some command-line modifications
while True:
s = scenarios.start_next_standard_scenario()
if s is None:
break
else:
# solve the model
print 'running scenario {s}'.format(s=append_tag(s["scenario_name"], s["tag"]))
print 'arguments: {}'.format(s)
solve(**s)
scenario_list_fossil = [
# '--scenario_name x_low_oil_price -n rps -n renewables -n demand_response -n pumped_hydro --inputs_subdir low_oil_price',
# '--scenario_name x_high_oil_price -n rps -n renewables -n demand_response -n pumped_hydro --inputs_subdir high_oil_price',
# '--scenario_name x_lng_oil_peg -n rps -n renewables -n demand_response -n pumped_hydro --inputs_subdir lng_oil_peg',
# '--scenario_name x_high_oil_and_lng_price -n rps -n renewables -n demand_response -n pumped_hydro --inputs_subdir high_lng_oil_peg',
# '--scenario_name no_wind_ph2037_150 --ph_year=2037 --ph_mw=150 -n wind',
]
with open('scenarios_to_run.txt', 'w') as f:
f.writelines(s + '\n' for s in scenario_list)
scenarios.parser.add_argument('--skip_cf', action='store_true')
scenarios.parser.add_argument('--time_sample')
cmd_line_args = scenarios.cmd_line_args()
# particular settings chosen for this case
# (these will be passed as arguments when the queries are run)
args = dict(
inputs_dir = cmd_line_args.get('inputs_dir', 'inputs'), # directory to store data in
skip_cf = cmd_line_args['skip_cf'], # skip writing capacity factors file if specified (for speed)
time_sample = cmd_line_args.get('time_sample', "rps_mini"), # could be 'tiny', 'rps', 'rps_mini' or possibly
# '2007', '2016test', 'rps_test_45', or 'main'
load_zones = ('Oahu',), # subset of load zones to model
load_scen_id = "med", # "hist"=pseudo-historical, "med"="Moved by Passion", "flat"=2015 levels
fuel_scen_id = 'EIA_ref', # '1'=low, '2'=high, '3'=reference, 'EIA_ref'=EIA-derived reference level
ev_scen_id = 2, # 1=low, 2=high, 3=reference (omitted or None=none)
enable_must_run = 0, # should the must_run flag be converted to
# set minimum commitment for existing plants?
#!/usr/bin/env python
import sys, os
from textwrap import dedent
path_to_core = os.path.abspath(
os.path.join(os.path.dirname(__file__), 'switch-hawaii-core'))
sys.path.append(path_to_core)
import scenario_data, scenarios
scenarios.parser.add_argument('--skip_cf', action='store_true')
scenarios.parser.add_argument('--write_rhos', action='store_true')
scenarios.parser.add_argument('--time_sample')
cmd_line_args = scenarios.cmd_line_args()
# particular settings chosen for this case
# (these will be passed as arguments when the queries are run)
args = dict(
inputs_dir=cmd_line_args.get('inputs_dir',
'inputs'), # directory to store data in
skip_cf=cmd_line_args[
'skip_cf'], # skip writing capacity factors file if specified (for speed)
time_sample=cmd_line_args.get(
'time_sample',
"rps_mini"), # could be 'tiny', 'rps', 'rps_mini' or possibly
# '2007', '2016test', 'rps_test_45', or 'main'
load_zones=('Oahu', ), # subset of load zones to model
load_scen_id=
"med", # "hist"=pseudo-historical, "med"="Moved by Passion", "flat"=2015 levels
fuel_scen_id=