def __init__(self):
"""Initialise a default context."""
self.verbose = False
self.track_exchanges = False
self.regions = regions.All
self.startdate = startdate
# Number of timesteps is determined by the number of demand rows.
self.hours = len(hourly_regional_demand)
# Estimate the number of years from the number of simulation hours.
if self.hours == 8760 or self.hours == 8784:
self.years = 1
else:
self.years = self.hours / (365.25 * 24)
self.relstd = 0.002 # 0.002% unserved energy
self.generators = [
generators.CCGT(polygons.wildcard, 20000),
generators.OCGT(polygons.wildcard, 20000)
]
self.demand = hourly_demand.copy()
self.timesteps = len(self.demand)
self.spill = pd.DataFrame()
self.generation = pd.DataFrame()
self.unserved = pd.DataFrame()
# System non-synchronous penetration limit
self.nsp_limit = float(configfile.get('limits', 'nonsync-penetration'))
self.exchanges = np.zeros(
(self.hours, polygons.numpolygons, polygons.numpolygons))
self.costs = costs.NullCosts()
def test_005(self):
"""Test Context summary with no cost generator."""
c = nemo.Context()
c.costs = costs.NullCosts()
print(str(c))
c.verbose = True
print(str(c))
c.regions = [regions.nsw]
print(str(c))
f = types.MethodType(lambda self, costs: None, c.generators[0])
print(f)
c.generators[0].summary = f
print(c.generators[0].summary(None))
print(str(c))
def test_005(self):
"""Test Context summary with no cost generator."""
from nemo import costs
import types
c = nemo.Context()
c.costs = costs.NullCosts()
print str(c)
c.verbose = True
print str(c)
c.regions = [regions.nsw]
print str(c)
f = types.MethodType(lambda self, costs: None, c.generators[0], nemo.Context)
print f
c.generators[0].summary = f
print c.generators[0].summary(None)
print str(c)