def __init__(self, costfn, discount, lifetime=50):
"""Construct transmission costs given a cost function, discount rate and lifetime.
>>> t = Transmission(0.05, 30)
"""
# Vectorise the cost function so that we can call it with a matrix argument.
self.cost_per_mw_km = np.vectorize(costfn)
self.af = annuity_factor(lifetime, discount)
if args.reliability_std is not None:
context.relstd = args.reliability_std
# Likewise for the minimum share of regional generation.
context.min_regional_generation = args.min_regional_generation
assert context.min_regional_generation is None or \
(0 <= context.min_regional_generation <= 1), \
"Minimum regional generation must be in the interval [0,1]"
cost_class = costs.cost_switch(args.costs)
context.costs = cost_class(args.discount_rate, args.coal_price, args.gas_price, args.ccs_storage_costs)
context.costs.carbon = args.carbon_price
context.costs.transmission = transmission.Transmission(args.tx_costs, args.discount_rate)
if args.coal_ccs_costs is not None:
fom = context.costs.fixed_om_costs[generators.Coal_CCS]
af = costs.annuity_factor(context.costs.lifetime, args.discount_rate)
context.costs.capcost_per_kw_per_yr[generators.Coal_CCS] = args.coal_ccs_costs / af + fom
# Set up the scenario.
scenarios.supply_switch(args.supply_scenario)(context)
# Apply each demand modifier in the order given on the command line.
if args.demand_modifier is not None:
for arg in args.demand_modifier:
scenarios.demand_switch(arg)(context)
if args.verbose and __name__ == '__main__':
docstring = scenarios.supply_switch(args.supply_scenario).__doc__
assert docstring is not None
# Prune off any doctest test from the docstring.
docstring = docstring.split('\n')[0]
print "supply scenario: %s (%s)" % (args.supply_scenario, docstring)
