CIFS_Storage_Demand_Model/Cost_Data_Proc.r
2026-01-29 17:03:26 -07:00

14 lines
2.6 KiB
R

library(tidyverse)
######CIFS costs
dir.create("./Data/Cleaned_Data",recursive=TRUE,showWarnings=FALSE)
read_csv("./Data/Raw_Data/Cost_Tables/Texas/Table_C-3_Undiscounted_Cost_Estimates_Phase_1_Low.csv")
CIFS_TEXAS <- rbind( read_csv("./Data/Raw_Data/Cost_Tables/Texas/Table_C-3_Undiscounted_Cost_Estimates_Phase_1_Low.csv") %>% mutate(Phase='Partial',Cost_Assumption="Low"),read_csv("./Data/Raw_Data/Cost_Tables/Texas/Table_C-4_Undiscounted_Cost_Estimates_Phase_1_High.csv") %>% mutate(Phase='Partial',Cost_Assumption="High"), read_csv("./Data/Raw_Data/Cost_Tables/Texas/Table_C-5_Undiscounted_Cost_Estimates_Full_Low.csv") %>% mutate(Phase='Full',Cost_Assumption="Low"), read_csv("./Data/Raw_Data/Cost_Tables/Texas/Table_C-6_Undiscounted_Cost_Estimates_Full_High.csv") %>% mutate(Phase='Full',Cost_Assumption="High")) %>% mutate(Location="Texas",Capacity=ifelse(Phase=='Partial',5000,8*5000)) %>% select(Year,Location,Phase,Capacity,Cost_Assumption,Total,everything())
CIFS_TEXAS <- rbind(CIFS_TEXAS,CIFS_TEXAS %>% group_by(Year,Location,Phase,Capacity) %>% summarize(Cost_Assumption="Average",Total=mean(Total),Construction=mean(Construction),Transportation_to_CISF=mean(Transportation_to_CISF),Operations=mean(Operations),Transportation_to_Repository=mean(Transportation_to_Repository),Decommissioning=mean(Decommissioning)) %>% ungroup)
saveRDS(CIFS_TEXAS,"Data/Cleaned_Data/Texas_CIFS_Costs.Rds")
CIFS_NEW_MEXICO <- rbind( read_csv("./Data/Raw_Data/Cost_Tables/New_Mexico/Table_C-3_Undiscounted_Cost_Estimates_Phase_1_Low.csv") %>% mutate(Phase='Partial',Cost_Assumption="Low"),read_csv("./Data/Raw_Data/Cost_Tables/New_Mexico/Table_C-4_Undiscounted_Cost_Estimates_Phase_1_High.csv") %>% mutate(Phase='Partial',Cost_Assumption="High"), read_csv("./Data/Raw_Data/Cost_Tables/New_Mexico/Table_C-5_Undiscounted_Cost_Estimates_Full_Low.csv") %>% mutate(Phase='Full',Cost_Assumption="Low"), read_csv("./Data/Raw_Data/Cost_Tables/New_Mexico/Table_C-6_Undiscounted_Cost_Estimates_Full_High.csv") %>% mutate(Phase='Full',Cost_Assumption="High"))%>% mutate(Location="New Mexico",Capacity=ifelse(Phase=='Partial',8680,8680+5000*19))%>% select(Year,Location,Phase,Capacity,Cost_Assumption,Total,everything())
CIFS_NEW_MEXICO <- rbind(CIFS_NEW_MEXICO,CIFS_NEW_MEXICO %>% group_by(Year,Location,Phase,Capacity) %>% summarize(Cost_Assumption="Average",Total=mean(Total),Construction=mean(Construction),Transportation_to_CISF=mean(Transportation_to_CISF),Operations=mean(Operations),Transportation_to_Repository=mean(Transportation_to_Repository),Decommissioning=mean(Decommissioning)) %>% ungroup)
saveRDS(CIFS_NEW_MEXICO,"Data/Cleaned_Data/New_Mexico_CIFS_Costs.Rds")