#' module_gcam.korea_LA115.RooftopPV
#'
#' Prepare resource curves for rooftop PV (commercial and residential combined).
#'
#' @param command API command to execute
#' @param ... other optional parameters, depending on command
#' @return Depends on \code{command}: either a vector of required inputs,
#' a vector of output names, or (if \code{command} is "MAKE") all
#' the generated outputs: \code{L115.rsrc_korea_rooftopPV}. The corresponding file in the
#' original data system was \code{LA115.RooftopPV.R} (gcam-korea level1).
#' @details Use the GCAM default resource curves.
#' @importFrom assertthat assert_that
#' @importFrom dplyr filter mutate select
#' @importFrom tidyr gather spread
#' @author M. Roh
module_gcam.korea_LA115.RooftopPV <- function(command, ...) {
if(command == driver.DECLARE_INPUTS) {
return(c(FILE = "gcam-korea/states_subregions",
FILE = "energy/A15.roofPV_curves"))
} else if(command == driver.DECLARE_OUTPUTS) {
return(c("L115.rsrc_korea_rooftopPV"))
} else if(command == driver.MAKE) {
Relative_Cost <- Rel_Cost <- MWh <- State <- state_name <- p <- generation <-
GWH <- state <- cumul <- percent_cumul <- minimum <- NULL
all_data <- list(...)[[1]]
# Load required inputs
states_subregions <- get_data(all_data, "gcam-korea/states_subregions")
A15.roofPV_curves <- get_data(all_data, "energy/A15.roofPV_curves")
# ===================================================
A15.roofPV_curves %>%
filter(region_GCAM3 == "Korea") %>%
select(maxSubResource, `mid-price`, `curve-exponent`) -> gcamdata_rsrc_rooftopPV
count <- length(gcamkorea.STATES)
gcamdata_rsrc_rooftopPV %>%
repeat_add_columns(tibble(gcamkorea.STATES)) %>%
mutate(generation=maxSubResource/rep(count, count)) %>%
rename(state=gcamkorea.STATES, mid_p= `mid-price`, b_exp=`curve-exponent`) %>%
select(state, generation, mid_p, b_exp) -> L115.rsrc_korea_rooftopPV
L115.rsrc_korea_rooftopPV %>%
## output attributes...
add_title("Resource curves for rooftop PV") %>%
add_units("1975$/GJ (mid-price) and EJ/yr (maxsubresource)") %>%
add_comments("Fitted supply curve parameters are sensitive to ordering generation values with equal price") %>%
add_legacy_name("L115.rsrc_korea_rooftopPV") %>%
add_precursors("gcam-korea/states_subregions",
"energy/A15.roofPV_curves") ->
L115.rsrc_korea_rooftopPV
return_data(L115.rsrc_korea_rooftopPV)
} else {
stop("Unknown command")
}
}
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