energyRt

energyRt (energy system modeling R-toolbox /ˈɛnərdʒi ɑrt/) is a
set of classes, methods, and functions that define a macro-language for
energy system modeling within the R environment. This package offers a
high-level, user-friendly interface that simplifies the development and
analysis of complex energy models. By abstracting much of the underlying
complexity, energyRt allows users to concentrate on strategic and
analytical aspects rather than the technical details of coding.

Key Features:

• User-Friendly Interface: energyRt enables users to define energy
  systems, input data, and configure scenarios using intuitive,
  domain-specific commands. It is designed to be accessible for both
  experienced modelers and those new to the field.
• Seamless R Integration: The package integrates seamlessly with
  R’s extensive ecosystem of packages, allowing users to utilize
  powerful data handling and visualization tools within their energy
  modeling projects.
• The energyRt optimization
  model is implemented
  in four widely-used mathematical programming languages, both
  proprietary and open-source: GAMS,
  GLPK/Mathprog,
  Python/Pyomo,
  Julia/JuMP. The package
  is designed to work seamlessly with any of these versions, allowing
  users to solve models using their preferred software while ensuring
  consistent and equivalent results across all platforms.
• Modular Model Construction: energyRt supports the construction
  of models in a modular fashion, enabling incremental development,
  individual component testing, and code reuse across different
  projects. This modularity, combined with R’s interactive
  environment, promotes an iterative approach to modeling where
  assumptions can be tested, and results explored in real-time.
• Applications: energyRt is designed to facilitate the creation of
  sophisticated energy system models, offering both flexibility and
  depth for detailed analysis. It is an essential tool for
  researchers, policymakers, and industry professionals engaged in
  long-term energy system planning, energy transition, and
  decarbonization efforts.

The package website: https://energyrt.org
Documentation in progress: https://energyrt.github.io/book/

Development status

energyRt is currently in preparation for its first release and
publication on CRAN. The major milestone
for the package is the version v0.50 ("half-way-there"), a proof
of concept with a full-featured and efficient model written in four
math-prog languages, with R-interface for the model design, processing
results, and producing reports. This version will have frozen model
code, classes and methods. Any updates will address only potential fixes
and new features with minimal impact on already existing modeling
projects.

Further development, versions starting from v0.9 towards the
v1.0 will have fully reviewed model and classes with the goal to
further increase efficiency, reduce memory footprint and computational
burden for both the model and its R interface, and significantly extend
features.

Installation

Assuming that R is already installed (if not, please download and
install from https://www.r-project.org/), we also recommend RStudio
(https://www.rstudio.com/), a powerful IDE (Integrated Development
Environment) for R. The installation of the package is done via the
pak or remotes packages:

pak::pkg_install("energyRt/[email protected]")
or
remotes::install_github("energyRt/energyRt", ref = "v0.50")

The next step would be to install at least one of the solvers: GAMS,
GLPK, Python/Pyomo, Julia/JuMP. Please refer to the respective websites
for installation instructions. More detaileds is available on the
IDEEA model
website, a project based on the energyRt package.