README.md

In earamendia/ECCTools: ECCTools Assists With Energy Conversion Chain Analysis

ECCTools

The R package ECCTools provides tools to modify and Energy Conversion Chain (ECC) that has been previously loaded using the R package IEATools. The IEATools package helps to load IEA data as well as to sort and prepare IEA data to formulate a Physical Supply Use Table (see Heun, Owen, and Brockway (2018)). However, the IEATools package treats imports as a supplying industry, and to this extent, adopts what we refer here to as the Free Imports Assumption: imports come for free, with no upstream associated conversion chain (and hence, no environmental burden and embodied energy).

The ECCTools package enables analysts to overcome this limitation through two different options:

1. The formulation of a Multi-Regional Physical Supply Use Table (MR-PSUT) framework representing the Energy Conversion Chain. In this case, imports are treated as supply coming from an industry located in a different region. This option is the most realistic one.
2. The formulation of a PSUT framework following the Domestic Technology Assumption (DTA). The DTA assumes that imports are produced within the region that imports them. Although the DTA is not a realistic assumption, it enables analysts to conduct useful simulations.

Installation

You can install ECCTools from github with:

# install devtools if not already installed
# install.packages("devtools")
devtools::install_github("earamendia/ECCTools")
# To build vignettes locally, use
devtools::install_github("earamendia/ECCTools", build_vignettes = TRUE)

History

This package builds upon the previous R package IEATools, and has been first demonstrated in the paper Aramendia et al. (2022).

More Information

Find more information, including vignettes and function documentation, at https://earamendia.github.io/ECCTools/.

References

Aramendia, Emmanuel, Matthew Heun, Paul Brockway, and Peter Taylor. 2022. “Developing a Multi-Regional Physical Supply Use Table Framework to Improve the Accuracy and Reliability of Energy Analysis.” *Applied Energy*. .

Heun, Matthew Kuperus, Anne Owen, and Paul E. Brockway. 2018. “A Physical Supply-Use Table Framework for Energy Analysis on the Energy Conversion Chain.” *Applied Energy* 226 (September): 1134–62. .

earamendia/ECCTools documentation built on May 12, 2023, 2:12 a.m.