ReboundTools is an R package that provides functions to analyze energy rebound, the unanticipated reduction of the benefits of energy efficiency due to behavior change and economy-wide effects. Many functions perform analysis calculations to move from known parameters to rebound estimates. Graphing functions (described in the Graphs vignette) create rebound path graphs in energy, expenditure, and consumption spaces. Other graphing functions create sensitivity graphs. The functions in this package were used for the analyses and graphs in the following two papers:
- Energetic and economic aspects of rebound, Part I: Foundations of a rigorous analytical framework (Heun, Semieniuk, and Brockway 2025a) and
- Energetic and economic aspects of rebound, Part II: Applications of the framework (Heun, Semieniuk, and Brockway 2025b).
Installation
You can install IEATools from github with:
# install devtools if not already installed
# install.packages("devtools")
devtools::install_github("MatthewHeun/ReboundTools")
# To build vignettes locally, use
devtools::install_github("MatthewHeun/ReboundTools", build_vignettes = TRUE)More Information
Find more information, including vignettes and function documentation, at https://MatthewHeun.github.io/ReboundTools/.
References
Heun, Matthew Kuperus, Gregor Semieniuk, and Paul E. Brockway. 2025a. “Energetic and Economic Aspects of Rebound, Part I: Foundations of a Rigorous Analytical Framework.” The Energy Journal, July, 1–63. https://doi.org/10.1177/01956574251331969.
———. 2025b. “Energetic and Economic Aspects of Rebound, Part II: Applications of the Framework.” The Energy Journal, July, 1–42. https://doi.org/10.1177/01956574251331966.