Societal energy analysis and societal exergy analysis (SEA) make extensive use of the energy conversion chain (ECC), a description of energy flows through society from the primary stage (resources extracted from the environment, such as coal, oil, natural gas, wind, and solar), to the final stage (energy purchased by consumers, such as refined petroleum and electricity), to the useful stage (energy desired by the end user, such as heat, motion, and light), and sometimes to energy services (such as thermal comfort, transport, and illumination). Such analyses are significantly easier when data are arranged in the R, U, V, and Y matrices of the PSUT framework described by Heun et al. (2018).
To facilitate SEA with the PSUT framework, computational tools are
needed. The computational tools should be amenable to use with
matsindf data frames of ECC
matrices and written with plain names for functions and data.. The
Recca
package provides such computational tools.
You can install Recca
from github with:
# install devtools if not already installed
# install.packages("devtools")
devtools::install_github("MatthewHeun/Recca")
# To build vignettes locally, use
devtools::install_github("MatthewHeun/Recca", build_vignettes = TRUE)
The functions in this package were first used in the paper Heun et al. (2018).
Find more information, including vignettes and function documentation, at https://MatthewHeun.github.io/Recca/.
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. https://doi.org/10.1016/j.apenergy.2018.05.109.