24-02-2017, 09:49 PM
OK, then you need to shape the emission factor.
Shaping a flow attribute, such as an emission factor, is only possible for vintaged processes, because only in that case the flow variables are vintage-specific. Shaping an attribute involves defining the base development of the attribute for the process, a generic SHAPE index, and an attribute linking a SHAPE index to the process-specific attribute. A (random) example is given below, for the CH4 emissions from the OILDST input of the process EGASOIL005 in the DEMO model:
In the example, the base development of the emission factor is defined by the FLO_EMIS(OILDST,CH4)=10 attribute. Note that if a time-series is defined, the base coefficient will be vintage-dependent. Then a shape index SHAPE(index,age) is defined, according to the desired change in the attribute value, by age. The age is specified in the Year column, and the index number in the Other_indexes column. Finally, that SHAPE index is applied to the FLO_EMIS() coefficient by specifying FLO_FUNCX(r,y,p,com,com)=index.
You don't need to define any interpolation option for SHAPE; it is always inter-/extrapolated. But for FLO_FUNCX, the default option is 10, and so you might want to use some other option (e.g. 5 as in the example).
Note that the SHAPE index 1 is reserved for a constant shape of 1.
Shaping a flow attribute, such as an emission factor, is only possible for vintaged processes, because only in that case the flow variables are vintage-specific. Shaping an attribute involves defining the base development of the attribute for the process, a generic SHAPE index, and an attribute linking a SHAPE index to the process-specific attribute. A (random) example is given below, for the CH4 emissions from the OILDST input of the process EGASOIL005 in the DEMO model:
In the example, the base development of the emission factor is defined by the FLO_EMIS(OILDST,CH4)=10 attribute. Note that if a time-series is defined, the base coefficient will be vintage-dependent. Then a shape index SHAPE(index,age) is defined, according to the desired change in the attribute value, by age. The age is specified in the Year column, and the index number in the Other_indexes column. Finally, that SHAPE index is applied to the FLO_EMIS() coefficient by specifying FLO_FUNCX(r,y,p,com,com)=index.
You don't need to define any interpolation option for SHAPE; it is always inter-/extrapolated. But for FLO_FUNCX, the default option is 10, and so you might want to use some other option (e.g. 5 as in the example).
Note that the SHAPE index 1 is reserved for a constant shape of 1.