def levelize_costs(self):
if hasattr(self, 'is_levelized') and (
self.definition == 'absolute' or
(self.definition == 'relative'
and self.reference_tech_operation == 'add')):
inflation = cfg.getParamAsFloat('inflation_rate')
rate = self.cost_of_capital - inflation
if self.is_levelized == 0:
self.values_level = -np.pmt(rate, self.book_life, 1, 0,
'end') * self.values
util.convert_age(self,
attr_from='values_level',
attr_to='values_level',
reverse=False,
vintages=self.vintages,
years=self.years)
else:
self.values_level = self.values.copy()
util.convert_age(self,
attr_from='values_level',
attr_to='value_level',
reverse=False,
vintages=self.vintages,
years=self.years)
self.values = np.pv(rate, self.book_life, -1, 0,
'end') * self.values
else:
util.convert_age(self,
attr_from='values',
attr_to='values_level',
reverse=False,
vintages=self.vintages,
years=self.years)
def levelize_costs(self):
if self.is_levelized == 1:
inflation = cfg.getParamAsFloat('inflation_rate')
rate = self.cost_of_capital - inflation
if self.is_levelized == 0:
self.values_level = -np.pmt(rate, self.book_life, 1, 0,
'end') * self.values
util.convert_age(self,
attr_from='values_level',
attr_to='values_level',
reverse=False,
vintages=self.vintages,
years=self.years)
else:
self.values_level = self.values.copy()
util.convert_age(self,
attr_from='values_level',
attr_to='values_level',
reverse=False,
vintages=self.vintages,
years=self.years)
self.values = np.pv(rate, self.book_life, -1, 0,
'end') * self.values
else:
util.convert_age(self,
reverse=False,
vintages=self.vintages,
years=self.years)
def levelize_costs(self):
if hasattr(self, 'is_levelized'):
inflation = cfg.getParamAsFloat('inflation_rate')
try:
rate = self.cost_of_capital - inflation
except:
pdb.set_trace()
if self.is_levelized == 0:
self.values_level = - np.pmt(rate, self.book_life, 1, 0, 'end') * self.values
util.convert_age(self, vintages=self.vintages, years=self.years, attr_from='values_level', attr_to='values_level', reverse=False)
elif self.is_levelized==1:
self.values_level = self.values.copy()
util.convert_age(self, vintages=self.vintages, years=self.years, attr_from='values_level', attr_to='values_level', reverse=False)
self.values = np.pv(rate, self.book_life, -1, 0, 'end') * self.values
elif self.definition == 'relative':
self.values_level = self.values.copy()
util.convert_age(self, vintages=self.vintages, years=self.years, attr_from='values_level', attr_to='values_level', reverse=False)
else:
raise ValueError("no specification of whether the technology cost is levelized")
else:
raise ValueError('Supply Technology id %s needs to indicate whether costs are levelized ' %self.name)
def set_max_min_flex_loads(self, flex_pmin, flex_pmax):
self.flex_load_penalty_short = UnitConverter.unit_convert(cfg.getParamAsFloat('flex_load_penalty_short', 'opt'), unit_from_den='megawatt_hour', unit_to_den=cfg.calculation_energy_unit)
self.flex_load_penalty_long = UnitConverter.unit_convert(cfg.getParamAsFloat('flex_load_penalty_long', 'opt'), unit_from_den='megawatt_hour', unit_to_den=cfg.calculation_energy_unit)
if self.has_flexible_load:
self.max_flex_load = flex_pmax.squeeze().to_dict()
self.min_flex_load = flex_pmin.squeeze().to_dict()
def levelize_costs(self):
inflation = cfg.getParamAsFloat('inflation_rate')
rate = self.cost_of_capital - inflation
self.values_level = -np.pmt(rate, self.lifetime, 1, 0,
'end') * self.values