Add anaeriobic digestion proxy script #30
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…roxy file for anaerobic digesters
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| total_SCFM = 29877 - 1465 # 1,465 SCFM is from the farm digesters (all have missing lat/long data), which we need to substract from the total in order to get accurate proportions for the WRRF and stand-alone digesters | ||
| WRRF = 23587 / total_SCFM # 23,587 SCFM is from WRRF |
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Are these values fixed by facility type? The code below looks to do the the allocation of inventory emissions to the facilities and then normalizes those. In this case think that allocation step isn't necessary, we just normalize the fixed values by facility type. I may be missing something here. Let's talk it through.
| # %% Read in the data | ||
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| # Read in emi data | ||
| anaerobic_digestion_emi = pd.read_csv(emi_data_dir_path / "anaerobic_digestion_emi.csv") |
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Let's wrap the entirety of the inputs files and output proxy file into a function so it is clear which files are being used. For the emi file see the other comment on if we need it here or not since allocation happens in the next step.
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Chris, looking good. My question is if we have fixed values from the biogas report, I think those should be assigned and normalized by facility type, and we don't need to use the emissions inventory values here, since the allocation by relative amount happens in the next step.
Can we wrap everything into a single function so that it's clear the full list of input and output files for this proxy?
Add anaeriobic digestion script to the proxy scripts to process the proxy file for anaerobic digesters