from optimization import *
header, indices, data = import_csv("DLW_research_runs", indices=2)
for i in range(99, 109):
name = indices[i][1]
a, ra, eis, pref, temp, tail, growth, tech_chg, tech_scale, joinp, maxp, on, maps = data[
i]
print(name, ra, eis)
if on == 1.0:
on = True
else:
on = False
maps = int(maps)
t = TreeModel(decision_times=[0, 15, 45, 85, 185, 285, 385],
prob_scale=1.0)
bau_default_model = DLWBusinessAsUsual()
bau_default_model.bau_emissions_setup(t)
c = DLWCost(t,
bau_default_model.emit_level[0],
g=92.08,
a=3.413,
join_price=joinp,
max_price=maxp,
tech_const=tech_chg,
tech_scale=tech_scale,
cons_at_0=30460.0)
df = DLWDamage(tree=t,
bau=bau_default_model,
cons_growth=growth,
