16-03-2021, 04:10 PM
Dear all,
I am facing some trouble understanding one of my results:
I have a dynamic constraint on the annual growth rate of power plants capacities (CAGR= 1%). The constraint I am imposing is of type t, t+1 ( var_cap(t) * growth(t) >= var_cap(t+1) -1). please see the attached file for more detail on the constraint.
Furthermore, I am running the stochastic version of TIMES with two stages. The second stage starts at 2040 and has 2 SOWs. The only thing that is different between SOW1 et SOW2 is that NCAP_COST(year in 2037-2052) of CCUS techs is lower under SOW2.
My problem: the growth rate of power capacities in all the regions of my model between 2035 and 2040 appears to be way higher than the imposed constraint. I don't know if this is related to the fact that I am defining SOWs. If it's the case, could you provide any help regarding the way one should modify dynamic constraints under the stochastic version of TIMES?
I am facing some trouble understanding one of my results:
I have a dynamic constraint on the annual growth rate of power plants capacities (CAGR= 1%). The constraint I am imposing is of type t, t+1 ( var_cap(t) * growth(t) >= var_cap(t+1) -1). please see the attached file for more detail on the constraint.
Furthermore, I am running the stochastic version of TIMES with two stages. The second stage starts at 2040 and has 2 SOWs. The only thing that is different between SOW1 et SOW2 is that NCAP_COST(year in 2037-2052) of CCUS techs is lower under SOW2.
My problem: the growth rate of power capacities in all the regions of my model between 2035 and 2040 appears to be way higher than the imposed constraint. I don't know if this is related to the fact that I am defining SOWs. If it's the case, could you provide any help regarding the way one should modify dynamic constraints under the stochastic version of TIMES?