gen_upgrade_cost_matrix — gen_upgrade_cost

generates an implied BER upgrade for given cost model params and house_type, region and floor area

gen_upgrade_cost_matrix(
  house_type,
  storeys,
  region = "Dublin",
  floor_area = 100,
  params,
  include_grant = FALSE
)

Arguments

house_type: house or apartment
storeys: 1,2+
region: region
floor_area: total floor area in m2
params: parameters
include_grant: TRUE/FALSE

Value

matrix

Examples


params <- scenario_params(sD,2024)
#gen_upgrade_cost_matrix("semi_detached","Dublin",100,params,cost_model="power",FALSE)
#gen_upgrade_cost_matrix("semi_detached","Dublin",100,params,cost_model="esri",FALSE)
gen_upgrade_cost_matrix("semi_detached",2,"Dublin",100,params,FALSE)
#> # A tibble: 10 × 11
#>    hli_old   `5` `4.5`   `4` `3.5`    `3`  `2.5`    `2`  `1.5`    `1`   `0.5`
#>      <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl>  <dbl>  <dbl>  <dbl>  <dbl>   <dbl>
#>  1     5       0 2500. 5106. 8114. 12544. 21135. 37431. 60892. 87800. 115824.
#>  2     4.5     0    0  2606. 5614. 10044. 18636. 34932. 58392. 85300. 113324.
#>  3     4       0    0     0  3007.  7438. 16029. 32325. 55786. 82694. 110717.
#>  4     3.5     0    0     0     0   4431. 13022. 29318. 52778. 79686. 107710.
#>  5     3       0    0     0     0      0   8591. 24887. 48347. 75256. 103279.
#>  6     2.5     0    0     0     0      0      0  16296. 39756. 66665.  94688.
#>  7     2       0    0     0     0      0      0      0  23460. 50369.  78392.
#>  8     1.5     0    0     0     0      0      0      0      0  26908.  54932.
#>  9     1       0    0     0     0      0      0      0      0      0   28024.
#> 10     0.5     0    0     0     0      0      0      0      0      0       0