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#' @title Financial cost of Failure for Service Lines
#' @description This function calculates financial consequences of failure
#' Outputted in DKK
#' @return Numeric. Financial consequences of failure for service line
#' @export
#' @examples
#' financial_cof_serviceline()
financial_cof_serviceline <- function() {
GBP_to_DKK <- 8.71
hv_asset_category <- "33kV UG Cable (Non Pressurised)"
`Asset Register Category` = `Health Index Asset Category` = `Asset Category` = NULL
asset_category <- gb_ref$categorisation_of_assets %>%
dplyr::filter(`Asset Register Category` == hv_asset_category) %>%
dplyr::select(`Health Index Asset Category`) %>% dplyr::pull()
# Reference cost of failure table 16 --------------------------------------
reference_costs_of_failure_tf <- dplyr::filter(gb_ref$reference_costs_of_failure,
`Asset Register Category` ==
hv_asset_category)
# Reference financial cost of failure -------------------------------------
fcost <- reference_costs_of_failure_tf$`Financial - (GBP)`
# Type financial factor ---------------------------------------------------
type_financial_factor <- 1
# Access financial factor -------------------------------------------------
access_financial_factor <- 1
# Financial consequences factor -------------------------------------------
fc_factor <- type_financial_factor * access_financial_factor
# Financial consequences of failure ---------------------------------------
return((fc_factor * fcost * GBP_to_DKK)/2)
}
#' @title Safety cost of Failure for Service Lines
#' @description This function calculates safety consequences of failure
#' Outputted in DKK
#' @return Numeric. Financial consequences of failure for service line
#' @export
#' @examples
#' safety_cof_serviceline()
safety_cof_serviceline <- function() {
GBP_to_DKK <- 8.71
hv_asset_category <- "33kV UG Cable (Non Pressurised)"
`Asset Register Category` = `Health Index Asset Category` = `Asset Category` = NULL
asset_category <- gb_ref$categorisation_of_assets %>%
dplyr::filter(`Asset Register Category` == hv_asset_category) %>%
dplyr::select(`Health Index Asset Category`) %>% dplyr::pull()
reference_costs_of_failure_tf <- dplyr::filter(gb_ref$reference_costs_of_failure,
`Asset Register Category` ==
hv_asset_category)
# Reference financial cost of failure -------------------------------------
scost <- reference_costs_of_failure_tf$`Safety - (GBP)`
# Assuming that all cables are always buried
safety_consequence_factor <- 1
# Safety consequence of failure -------------------------------------------
safety_cof <- safety_consequence_factor * scost
return((safety_cof * GBP_to_DKK)/2)
}
#' @title Environmental cost of Failure for Service Lines
#' @description This function calculates environmental consequences of failure
#' Outputted in DKK
#' @param prox_water Numeric. Specify the proximity to a water course in meters.
#' A setting of \code{"Default"} will result in a proximity factor of 1. Thus
#' assume the proximity to a water course is between 80m and 120m
#' @param bunded String. Options: \code{bunded = c("Yes", "No", "Default")}.
#' A setting of \code{"Default"} will result in a bunding factor of 1.
#' @export
#' @examples
#' environmental_cof_serviceline(prox_water = 95, bunded = "Yes")
environmental_cof_serviceline <- function(prox_water,
bunded) {
GBP_to_DKK <- 8.71
hv_asset_category <- "33kV UG Cable (Non Pressurised)"
`Asset Register Category` = `Health Index Asset Category` = `Asset Category` =
`Type environment factor` = NULL
asset_category <- gb_ref$categorisation_of_assets %>%
dplyr::filter(`Asset Register Category` == hv_asset_category) %>%
dplyr::select(`Health Index Asset Category`) %>% dplyr::pull()
reference_costs_of_failure_tf <- dplyr::filter(gb_ref$reference_costs_of_failure,
`Asset Register Category` ==
hv_asset_category)
# Reference financial cost of failure -------------------------------------
ecost <- reference_costs_of_failure_tf$`Environmental - (GBP)`
# Type env factor -------------------------------------
type_environmental_factor <- 1
# Size env factor -------------------------------------
size_environmental_factor <- 1
# Location environmetal factor table 222 ----------------------------------
location_environ_al_factor <- gb_ref$location_environ_al_factor
location_environ_al_factor_tf <- dplyr::filter(location_environ_al_factor,
`Asset Register Category` ==
asset_category)
if(nrow(location_environ_al_factor_tf) == 0){
location_environmental_factor <- 1
} else {
# Bunded "Yes", "No", "Default" ?
if (bunded == "Default") {
bunding_factor <- 1
} else if (bunded == "Yes") {
bunding_factor <-
location_environ_al_factor_tf$`Bunding Factor: Bunded`
} else if (bunded == "No") {
bunding_factor <-
location_environ_al_factor_tf$`Bunding Factor: Not bunded`
}
# Proximity to water.
if(prox_water == "Default") {
prox_factor <- 1
} else if (prox_water >= 40 && prox_water < 80) {
prox_factor <- location_environ_al_factor_tf$
`Proximity Factor: Close to Water Course (between 40m and 80m)`
} else if (prox_water >= 80 && prox_water < 120) {
prox_factor <- location_environ_al_factor_tf$
`Proximity Factor: Moderately Close to Water Course (between 80m and 120m)`
} else if (prox_water > 120) {
prox_factor <- location_environ_al_factor_tf$
`Proximity Factor: Not Close to Water Course (>120m) or No Oil`
} else if (prox_water < 40) {
prox_factor <- location_environ_al_factor_tf$
`Proximity Factor: Very Close to Water Course (<40m)`
}
# Location environmental factor
location_environmental_factor <- prox_factor * bunding_factor
}
environmental_consequences_factor <- (type_environmental_factor *
size_environmental_factor *
location_environmental_factor)
# Environmental consequences ----------------------------------------------
environmental_cof <- environmental_consequences_factor * ecost
return((environmental_cof * GBP_to_DKK)/2)
}
#' @title Network cost of Failure for Service Lines
#' @description This function calculates network cost of failure for
#' service line, outputted in DKK
#' @param actual_load_mva Numeric. The actual load on the asset
#' @param secure Boolean If the asset is in a secure network or not
#' @return Numeric. Network cost of failure.
#' @export
#' @examples
#' network_cof_serviceline(actual_load_mva = 0.5)
network_cof_serviceline <- function(actual_load_mva,
secure = T) {
GBP_to_DKK <- 8.71
hv_asset_category <- "33kV UG Cable (Non Pressurised)"
`Asset Register Category` = `Health Index Asset Category` = `Asset Category` =
`Maximum Demand Used To Derive Reference Cost (MVA)` = NULL
reference_costs_of_failure_tf <- dplyr::filter(gb_ref$reference_costs_of_failure,
`Asset Register Category` ==
hv_asset_category)
# Reference financial cost of failure -------------------------------------
ncost <- reference_costs_of_failure_tf$`Network Performance - (GBP)`
# Load factor ---------------------------------------------------------
ref_nw_perf_cost_fail_ehv_df <- gb_ref$ref_nw_perf_cost_of_fail_ehv
ref_nw_perf_cost_fail_ehv_single_row_df <- dplyr::filter(ref_nw_perf_cost_fail_ehv_df,
`Asset Category` ==
hv_asset_category)
load_factor <- actual_load_mva/ref_nw_perf_cost_fail_ehv_single_row_df$`Maximum Demand Used To Derive Reference Cost (MVA)`
# Network type factor -----------------------------------
network_type_factor <- 1
if(!secure){
network_type_factor <- 2.5
}
# Network perfomance consequence factor -----------------------------------
network_performance_consequence_factor <- load_factor *
network_type_factor
# Network performance cost of failure -------------------------------------
network_cof <- network_performance_consequence_factor * ncost
return((network_cof * GBP_to_DKK)/2)
}
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