Hi LEAP team,

I am working on an optimization case study using LEAP. I have set the constraint (renewable target), say reaching 35% RE share by 2030. However, LEAP told me that there is no feasible solution. I am pretty sure all the data are correctly placed within LEAP. My questions are:

Hi, Pinto -

If your model works when you remove the renewable target but is infeasible when the target is added, you can conclude the region can't meet the target given your other assumptions (resource potential, capacity limits, etc.). In other words, the answer to question 1 is 'yes' given the other assumptions in the model.

Without introducing custom constraints into NEMO, I think answering question 2 requires a bit of trial and error. I'd try a run with the target applied in much later year (e.g., 2050); if that works, split the difference between 2030 and the later year, and try again. Keep proceeding in that fashion until you find the last feasible year.

Alternatively, you could create a temporary pollutant and associate it with all non-renewable processes; assign a high cost to emissions of the pollutant; and run the model without a renewable target. This would induce the model to use as much renewable power as possible and provide a reasonable estimate of when the target could be attained.

Thanks,

Jason

You may get infeasible solution in the case of optimization if for instance you fix some parameters for emissions constraint or renewables such as maximum availability for rennewables. I had this issue which I sorted out by reviewing some parameters. Hope this may help.