finaldemand_aggregates: Final demand energy and exergy aggregates

In MatthewHeun/Recca: R Energy Conversion Chain Analysis

Final demand energy and exergy aggregates

Description

Calculates aggregate final demand energy from a data frame of Supply-Use matrices. The calculation counts only fd_sectors in final demand aggregates. If .sutdata is NULL, fd_sectors can be a single vector of industry names.

Usage

finaldemand_aggregates(
  .sutdata = NULL,
  fd_sectors,
  piece = "all",
  notation = RCLabels::notations_list,
  pattern_type = c("exact", "leading", "trailing", "anywhere", "literal"),
  prepositions = RCLabels::prepositions_list,
  U_eiou = Recca::psut_cols$U_eiou,
  Y = Recca::psut_cols$Y,
  by = c("Total", "Product", "Sector", "Industry"),
  net_aggregate_demand = Recca::aggregate_cols$net_aggregate_demand,
  gross_aggregate_demand = Recca::aggregate_cols$gross_aggregate_demand
)

Arguments

.sutdata	A data frame with columns of matrices from a supply-use analysis.
fd_sectors	A vector of names of sectors in final demand. Names should include columns in the Y and U_EIOU matrices to cover both net (in Y) and gross (in Y and U_EIOU) final demand.
piece, notation, pattern_type, prepositions	Arguments that control the way row and column matching is accomplished when selecting parts of the U_EIOU and Y matrices for final demand aggregation. These arguments are passed to matsbyname::select_rowcol_piece_byname() and eventually RCLabels::match_by_pattern() and RCLabels::make_or_pattern(). Default values are piece = "all", notation = RCLabels::notations_list, pattern_type = "exact", and prepositions = RCLabels::prepositions_list.
U_eiou, Y	Input matrices. See Recca::psut_cols.
by	One of "Product", "Sector", or "Total" to indicate the desired aggregation: "Product" for aggregation by energy carrier (Crude oil, Primary solid biofuels, etc.), "Sector" for aggregation by final demand sector (Agriculture/forestry, Domestic navigation, etc.), or "Total" for aggregation over both Product and Sector (the default).
net_aggregate_demand, gross_aggregate_demand	See Recca::aggregate_cols. Defaults are Recca::aggregate_cols$net_aggregate_demand and Recca::aggregate_cols$gross_aggregate_demand.

Details

Net energy demand is calculated by matsbyname::sum_byname(Y_fd), with sums across rows, columns, or total as needed. Gross energy demand is calculated by matsbyname::sum_byname(Y_fd) + matsbyname::sum_byname(U_EIOU), with sums across rows, columns, or total as needed.

Value

A list or data frame containing net_aggregate_demand and gross_aggregate_demand columns.

Examples

library(matsbyname)
UKEnergy2000mats %>%
  tidyr::pivot_wider(names_from = "matrix.name", values_from = "matrix") %>%
  dplyr::mutate(
    fd_sectors = rep(list(c("Residential", "Transport")), times = nrow(.))
  ) %>%
  dplyr::filter(Last.stage %in% c(IEATools::last_stages$final,
                                  IEATools::last_stages$useful)) %>%
  finaldemand_aggregates(fd_sectors = "fd_sectors", by = "Sector")

MatthewHeun/Recca documentation built on Feb. 9, 2024, 6:18 p.m.