diff --git a/images/gcam-usa_CCS-curves.png b/gcam-figs/gcam-usa_CCS-curves.png similarity index 100% rename from images/gcam-usa_CCS-curves.png rename to gcam-figs/gcam-usa_CCS-curves.png diff --git a/gcam-usa.md b/gcam-usa.md index e27af9f..5683f14 100644 --- a/gcam-usa.md +++ b/gcam-usa.md @@ -93,7 +93,7 @@ In brief, the regionally-specific CO2 transport and storage cost curv In keeping with the US electricity-specific CCS modeling presented in [Wise et al. (2007](#_ENREF_4)), the CO2 transport and storage cost curves represented in this analysis have been adjusted to account for the fact that the cost of CO2 capture can vary by an order of magnitude for the different CO2 sources modeled to generate the raw region specific CO2 transport and storage cost (i.e., a natural gas processing plant generates a virtually pure stream of CO2 that can be captured – already dehydrated and compressed - for a cost of less than $10/tonCO2, while an older and relatively small pulverized coal plant could see capture costs well above $50/tonCO2) and which kinds of CO2 point sources get to access what kinds of geologic storage reservoirs is influenced strongly by the capture costs.  Therefore, the raw region-specific CO2 transport and storage curves would present an unrealistically low representation of the net cost of CO2 transport and storage likely to be experienced by large stationary CO2 point sources like coal, natural gas, and biomass – fired power plants and refineries, which are the anthropogenic CO2 sources that are modeled specifically in GCAM-USA. - + Carbon storage potential by electricity market. diff --git a/images/gcam-usa_grid-regions.png b/images/gcam-usa_grid-regions.png deleted file mode 100644 index cbae60d..0000000 Binary files a/images/gcam-usa_grid-regions.png and /dev/null differ