02-05-2019, 09:36 PM

Ok, thanks for the files.

I ran the model, and I conclude that your model is such that there cannot be any partial load efficiency losses for the process "TESTELSR". The process is operating at a constant load throughout the year, and so the model can always optimize the online capacity in such a way that there cannot be any partial load efficiency losses. In the results, the online capacity is 88.492, and the constant load is 67.254. The load level is thus 67.254/88.492=76%.

Your minimum stable load is now 40% (ACT_MINLD=0.4). You have not specified ACT_LOSPL(UP), and so the default is 60% of the feasible load range. The efficiency losses thus start at 40% + 0.6*(100%-40%)=76% (if going below that level). Hence, there are no partial load efficiency losses at 76% or above. The losses would only start at any loads below that load level. But as the load is constant, such a situation would never occur.

I can only repeat what I told you in my first answer:

I ran the model, and I conclude that your model is such that there cannot be any partial load efficiency losses for the process "TESTELSR". The process is operating at a constant load throughout the year, and so the model can always optimize the online capacity in such a way that there cannot be any partial load efficiency losses. In the results, the online capacity is 88.492, and the constant load is 67.254. The load level is thus 67.254/88.492=76%.

Your minimum stable load is now 40% (ACT_MINLD=0.4). You have not specified ACT_LOSPL(UP), and so the default is 60% of the feasible load range. The efficiency losses thus start at 40% + 0.6*(100%-40%)=76% (if going below that level). Hence, there are no partial load efficiency losses at 76% or above. The losses would only start at any loads below that load level. But as the load is constant, such a situation would never occur.

I can only repeat what I told you in my first answer:

Partial load efficiencies can be modelled in TIMES, but in the LP formulation the partial loads are just measured in proportion to the maximum load in each season (or annually, if the timeslice level is SEASON), and so no discrete unit sizes can be assumed.