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Cap_Deployment.R
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Cap_Deployment.R
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# Script to cap deployment to 2
# Sheridan Few, Oct 2020
# See also readme file
### PACKAGES
library(data.table) # For fread to import subset of data (saving memory) - not currently implememnted
library(plyr) # For renaming data frame columns
library(stringr)
library(readxl)
### PATH DEFINITION
root_path <- '/Users/Shez/Google Drive/Grantham/JUICE/UKLCTD/'
input_path <- paste(root_path,'Input_data/',sep='')
intermediate_path <- paste(root_path,'Intermediate_data/',sep='') # This is where UKLCTD is kept
output_path <- paste(root_path,'Output_data/',sep='')
### INPUT DATA
# UKLCTD data with DFES data
UKLCTD_DFES_2050_input <- "dFES/UKLCTD_Scenarios_DFES_base_2050.csv"
### OUTPUT DATA
# Capped LSOA level tech deployment
Capped_Deployment_output <- 'dFES/UKLCTD_Scenarios_DFES_base_2050_capped.csv'
### DO STUFF
### 1. IMPORT UKLCTD DATA
#############################################################################################################
# Import data
UKLCTD_DFES_2050_df<-read.csv(paste(output_path,UKLCTD_DFES_2050_input, sep=''), header=TRUE)
### 2. IMPOSE CAPS
#############################################################################################################
# Cap EVs at 2 per household
EV_cap<- 2 * UKLCTD_DFES_2050_df$Meters_domestic
UKLCTD_DFES_2050_df$EV_number[UKLCTD_DFES_2050_df$EV_number > EV_cap] <- EV_cap[which(UKLCTD_DFES_2050_df$EV_number > EV_cap)]
# Cap HPs at 2 per hopusehold
HP_cap<- 2 * UKLCTD_DFES_2050_df$Meters_domestic
UKLCTD_DFES_2050_df$Heatpumps_nonhybrid_installations[UKLCTD_DFES_2050_df$Heatpumps_nonhybrid_installations > HP_cap] <- HP_cap[which(UKLCTD_DFES_2050_df$Heatpumps_nonhybrid_installations > HP_cap)]
# Cap PV at 2 per hopusehold
Dom_PV_number_cap<- 2 * UKLCTD_DFES_2050_df$Meters_domestic
Dom_PV_kw_cap<- 2 * 4 * UKLCTD_DFES_2050_df$Meters_domestic
UKLCTD_DFES_2050_df$PV_domestic_sum_kW[UKLCTD_DFES_2050_df$PV_domestic_sum_kW > Dom_PV_kw_cap] <- Dom_PV_kw_cap[which(UKLCTD_DFES_2050_df$PV_domestic_sum_kW > Dom_PV_kw_cap)]
UKLCTD_DFES_2050_df$PV_domestic_installations[UKLCTD_DFES_2050_df$PV_domestic_installations > Dom_PV_number_cap] <- Dom_PV_number_cap[which(UKLCTD_DFES_2050_df$PV_domestic_installations > Dom_PV_number_cap)]
### 3. EXPORT CAPPED DATA
#############################################################################################################
write.table(UKLCTD_DFES_2050_df, paste(output_path,Capped_Deployment_output, sep=''), sep=",", row.names=FALSE)