24-04-2020, 12:08 AM
Hello,
Apologies for a previous post that was poorly phrased. I'm trying to incorporate a notion of hourly discharge times for two DAYNITE storage processes using availability factors, as my model has DAYNITE level timeslices and I don't want to go to an hourly time resolution. One process is representative of lithium ion batteries that should discharge their whole capacity in 4h , the other is representative of longer term storage (but still DAYNITE, not seasonal or annual) that can discharge its capacity continuously for 24h. I would like to model the availability factor(not in the TIMES storage sense, but in the normal sense) of the Li-ion battery as 4h/24h for every time slice, and that of the longer term process as 24/24 (1), and let TIMES/VEDA decide when to charge, discharge each process.
However, AF/AFS would just restrict the stored energy and AFC/AFCS are for bounding the input/output flow... which I understand (misunderstand?) as the amount of storage capacity the process is allowed to charge (for the input commodity) or discharge i.e. for some storage with input ELC and output OPELC, NCAP_AFCS(ELC)=0.5 means the storage process can only charge up to 50% of the storage capacity, and NCAP_AFCS(OPELC)=0.5 means the process can discharge just 50% of its capacity in a given timeslice.
So, assuming that AF/AFS and NCAP_AFC/AFCS aren't appropriate for incorporating the sort of availability factor mentioned in paragraph one, are there other TIMES parameters that I could use to basically inform the model that the storage with longer discharge times is better than Lithium ion storage? Could you please suggest a way to implement such an availability factor for storage?
Thanks.
Apologies for a previous post that was poorly phrased. I'm trying to incorporate a notion of hourly discharge times for two DAYNITE storage processes using availability factors, as my model has DAYNITE level timeslices and I don't want to go to an hourly time resolution. One process is representative of lithium ion batteries that should discharge their whole capacity in 4h , the other is representative of longer term storage (but still DAYNITE, not seasonal or annual) that can discharge its capacity continuously for 24h. I would like to model the availability factor(not in the TIMES storage sense, but in the normal sense) of the Li-ion battery as 4h/24h for every time slice, and that of the longer term process as 24/24 (1), and let TIMES/VEDA decide when to charge, discharge each process.
However, AF/AFS would just restrict the stored energy and AFC/AFCS are for bounding the input/output flow... which I understand (misunderstand?) as the amount of storage capacity the process is allowed to charge (for the input commodity) or discharge i.e. for some storage with input ELC and output OPELC, NCAP_AFCS(ELC)=0.5 means the storage process can only charge up to 50% of the storage capacity, and NCAP_AFCS(OPELC)=0.5 means the process can discharge just 50% of its capacity in a given timeslice.
So, assuming that AF/AFS and NCAP_AFC/AFCS aren't appropriate for incorporating the sort of availability factor mentioned in paragraph one, are there other TIMES parameters that I could use to basically inform the model that the storage with longer discharge times is better than Lithium ion storage? Could you please suggest a way to implement such an availability factor for storage?
Thanks.