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Livestock emission scenarios #386
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Reducing emissions coefficients should be pretty straightforward, though first I guess you need to figure out what they are, as emissions by livestock in the model are indicated as
You could just read in another XML file that phases it out slowly over time, specifying the values within the interpolation function. E.g., this would reduce the share of FodderHerb_Residue within the given sector over time.
The Any of these changes that influence calibration should be done as far upstream as possible, e.g. in the source data, though be aware that they'll often have minimal impacts on the model behavior as the model's calibration parameters will just re-set. |
Thank you, @pkyle, for your suggestion. I did try the emission coefficient idea using the same methodology mentioned above, but to my surprise, this did not work. So will try the other ones. |
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Just seeing this--the reason the coefficients are declining over time is the marginal abatement cost curve, which is intended to estimate the decrease in emission factors as a function of CO2 prices, but often has zero-CO2-price abatement. Here's what I see in the XML file
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Hi @realxinzhao @pkyle. I am trying to model some policy scenarios for livestock emissions in India (GCAMV6). I have the following policy on my mind that i want to implement a) Change emission factors in future years as due to feed supplement that can reduce emission by 20%. b) Change in feed fraction as this could change output For e.g. more milk production if more green fodder is added instead of crop residue at the same time reduce emission. c) Somehow increase the animal offtake rate /productivity , so less animals are required in future and hence less emissions. In order to reduce emissions. I tried manipulating the emission factor with for future year in "all_aglu_emissions_IRR_MGMT" but did not see any desired output as it was impacting production too(which i don't want to be impacted). For the second scenario, I tried changing the feed fraction for 2030 in the CSV "IMAGE_an_Feedfrac_Rimg_C_Sys_Fd_Y.csv", reducing the ratio of scavenging and balancing it in another category, but the xml produce (an_input) does not register any change. I have tried understanding the IMAGE model(2.4) by reading its documentation and associated research papers (https://sci-hub.wf/10.1016/j.agsy.2004.05.006) from where the data and concept for the livestock module are fetched. So if you can please help me in figuring out ways, or developing conceptual clarity(if i am missing it) to implement the policy,.
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