def emission(self, tecs, emis_filter, time_col, metadata={}):
_filter1 = {'technology': tecs}
act = self.ds.var('ACT', _filter1)
_filter2 = dict(emis_filter, **_filter1)
op = self.ds.par('emission_factor', _filter2)
_df = utils.multiply_df(act, 'lvl', op, 'value')
return utils.make_ts(_df, time_col, 'product', metadata=metadata)
def activity_input(self, tecs, in_filter, time_col, metadata={}):
_filter1 = {'technology': tecs}
act = self.ds.var('ACT', _filter1)
_filter2 = dict(in_filter, **_filter1)
op = self.ds.par('input', _filter2)
_df = utils.multiply_df(act, 'lvl', op, 'value')
return utils.make_ts(_df, time_col, 'product', metadata=metadata)
def new_capacity(self, tecs, time_col, metadata={}):
_filter = {'technology': tecs}
act = self.ds.var('CAP_NEW', _filter)
return utils.make_ts(act, time_col, 'lvl', metadata=metadata)
def activity(self, tecs, time_col, metadata={}):
_filter = {'technology': tecs}
act = self.ds.var('ACT', _filter)
return utils.make_ts(act, time_col, 'lvl', metadata=metadata)