Fixes for IEA Data

Introduction

Some data in the IEA extended energy balances is incomplete or incorrect. The IEATools package provides functions to fix the incomplete or incorrect data. These fixes emerge from detailed country studies that lead to academic papers.

The fixes

At present, there are two fixes to IEA data.

Ghana Primary solid biofuels

Ghana’s Primary solid biofuels data show a very large and dramatic decline from 1999 to 2000. This decline is due to new survey data being used for the 2000 data.
When we look at the PSB data on a per-capita basis, it is clear that a near-constant PSB/capita value was used to extrapolate per-capita usage in the late 1990s. When new survey data became available for the 2000 reporting year, the per-capita consumption of PSB obviously changed.
Our approach to this problem is to smooth out the large peak in PSB consumption by reducing the per-capita consumption of PSB in the years 1991–1999. See the Supplementary material (especially section S2.7) for

M. K. Heun and P. E. Brockway. Meeting 2030 primary energy and economic growth goals: Mission impossible? Applied Energy, 251(112697):1–24, May 2019

for additional details. See (http://www.doi.org/10.1016/j.apenergy.2019.01.255).

An example data frame can be constructed from the example data supplied with this package using load_tidy_iea_df(). We pretend that 1971 is 1991 and 2000 is 1992.

example_tidy_iea_df <- load_tidy_iea_df() %>% 
  dplyr::filter(Country == "GHA") %>% 
  dplyr::filter(Product == "Primary solid biofuels") %>% 
  dplyr::mutate(
    Year := dplyr::case_when(
      Year == 1971 ~ 1991,
      Year == 2000 ~ 1992
    )
  ) 
example_tidy_iea_df %>% 
  dplyr::filter(Product == "Primary solid biofuels") %>% 
  dplyr::select(Year, Flow.aggregation.point, Flow, E.dot, Unit)
#> # A tibble: 10 × 5
#>     Year Flow.aggregation.point      Flow                            E.dot Unit 
#>    <dbl> <chr>                       <chr>                           <dbl> <chr>
#>  1  1991 Total primary energy supply Production                     87400. TJ   
#>  2  1992 Total primary energy supply Production                    162909. TJ   
#>  3  1991 Transformation processes    Charcoal production plants    -20000. TJ   
#>  4  1992 Transformation processes    Charcoal production plants    -45804. TJ   
#>  5  1991 Industry                    Industry not elsewhere speci…   6100. TJ   
#>  6  1992 Industry                    Industry not elsewhere speci…  28691. TJ   
#>  7  1991 Other                       Residential                    61300. TJ   
#>  8  1992 Other                       Residential                    84667. TJ   
#>  9  1992 Other                       Commercial and public servic…   3630. TJ   
#> 10  1992 Other                       Agriculture/forestry             117. TJ
fixed <- example_tidy_iea_df %>% 
  fix_GHA_psb()

Comparing production of Primary solid biofuels in 1991 shows that production rates have changed.

example_tidy_iea_df %>% 
  dplyr::filter(Year == 1991, Flow == "Production") %>% 
  dplyr::select("E.dot", "Unit")
#> # A tibble: 1 × 2
#>    E.dot Unit 
#>    <dbl> <chr>
#> 1 87400. TJ
fixed %>% 
  dplyr::filter(Year == 1991, Flow == "Production") %>% 
  dplyr::select("E.dot", "Unit")
#> # A tibble: 1 × 2
#>     E.dot Unit 
#>     <dbl> <chr>
#> 1 168519. TJ

The private object Fixed_GHA_PSB contains the replacement Primary solid biofuels data.

Matthew Kuperus Heun

2024-02-03

Introduction

The fixes

Ghana Primary solid biofuels