calc_eta_i | R Documentation |
Calculates industry efficiencies for all energy conversion industries in the ECC. Calculations are performed as shown in Equation 11 in Heun, Owen, and Brockway. 2018. A physical supply-use table framework for energy analysis on the energy conversion chain. Applied Energy, vol 226, pp. 1134-1162.
calc_eta_i(
.sutmats,
U = Recca::psut_cols$U,
V = Recca::psut_cols$V,
S_units = Recca::psut_cols$S_units,
eta_i = Recca::efficiency_cols$eta_i
)
.sutmats |
A data frame containing columns for U, V, and S_units matrices. |
U |
A string for the name of a column of U matrices in |
V |
A string for the name of a column of V matrices in |
S_units |
A string for the name of a column of S_units matrices in |
eta_i |
The name of the industry efficiency column in output. Default is |
The efficiency for a given industry is calculated iff the units for inputs and outputs for that industry are unit-homogeneous.
If units for inputs and outputs are heterogeneous for an industry, NA
is the result.
Note that these efficiencies (eta
) are different from
final demand sector and product efficiencies (eta_s
and eta_p
, respectively).
Both final demand sector and product efficiencies
(eta_s
and eta_p
) are based on embodied energy, whereas
industry efficiencies (eta
) is based on direct inputs consumed and outputs produced
by the energy conversion industry.
To calculate energy conversion final demand sector and product efficiencies, use the
calc_embodied_etas()
function.
.sutmats
with an additional column eta_i
library(tidyr)
UKEnergy2000mats %>%
tidyr::spread(key = "matrix.name", value = "matrix") %>%
calc_eta_i()
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