10-11-2017, 06:30 PM

TIMES is assumed to operate with full years, each milestone year being a representative year of its period.

Maybe look at an example: If you have an existing 1000 MW plant in the system, and we assume 8760 hours in a year, the plant would be able to produce 8760 GWh in a year at 100% capacity factor. But assume that it produced 7008 GWh in 2015, and you would like to calibrate your model according to that.

In TIMES, any process can produce at most the amount of VAR_CAP*PRC_CAPACT*NCAP_AF(A) in a year, where NCAP_AF(A) stands for the NCAP_AF, or the NCAP_AFA value if the latter is specified.

If you use 8.76 as the value of PRC_CAPACT, then you should set NCAP_AFA=0.800 in order to calibrate your model in such a way that the plant can produce at most 7008 GWh in the year 2015 (1000*8.76*0.8 = 7008).

But if you use PRC_CAPACT=8.736, then you should set NCAP_AFA=0.8022 for the same max. annual production.

Going further, if you would use PRC_CAPACT=4.38, then you should set NCAP_AFA=1.6 to calibrate your model. But for that to work, you would also have to increase your NCAP_AF values up to the value of 2 (because the default=1). That might already look rather strange: The plant availability factors should be set to 200%, because otherwise the model would not be able to reproduce the statistical production with the statistical capacity.

Consequently, I think you can use any value for PRC_CAPACT, if you just adjust the process availability factors accordingly. However, if you would like to use statistical (or real) capacity and availability factors in your model, I think you should also use the real annual hours as the basis of PRC_CAPACT, i.e. 8760 for a normal year.

Maybe look at an example: If you have an existing 1000 MW plant in the system, and we assume 8760 hours in a year, the plant would be able to produce 8760 GWh in a year at 100% capacity factor. But assume that it produced 7008 GWh in 2015, and you would like to calibrate your model according to that.

In TIMES, any process can produce at most the amount of VAR_CAP*PRC_CAPACT*NCAP_AF(A) in a year, where NCAP_AF(A) stands for the NCAP_AF, or the NCAP_AFA value if the latter is specified.

If you use 8.76 as the value of PRC_CAPACT, then you should set NCAP_AFA=0.800 in order to calibrate your model in such a way that the plant can produce at most 7008 GWh in the year 2015 (1000*8.76*0.8 = 7008).

But if you use PRC_CAPACT=8.736, then you should set NCAP_AFA=0.8022 for the same max. annual production.

Going further, if you would use PRC_CAPACT=4.38, then you should set NCAP_AFA=1.6 to calibrate your model. But for that to work, you would also have to increase your NCAP_AF values up to the value of 2 (because the default=1). That might already look rather strange: The plant availability factors should be set to 200%, because otherwise the model would not be able to reproduce the statistical production with the statistical capacity.

Consequently, I think you can use any value for PRC_CAPACT, if you just adjust the process availability factors accordingly. However, if you would like to use statistical (or real) capacity and availability factors in your model, I think you should also use the real annual hours as the basis of PRC_CAPACT, i.e. 8760 for a normal year.