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eplusr: A framework for integrating building energy simulation and data-driven analytics.
- Source :
-
Energy & Buildings . Apr2021, Vol. 237, pN.PAG-N.PAG. 1p. - Publication Year :
- 2021
-
Abstract
- [Display omitted] • Developed an R package that integrates EnergyPlus with data-driven analytics. • Structured inputs/outputs format that can be easily piped into data analytics workflows. • Facilitates reproducible simulations through Docker. • Enables flexible and extensible parametric simulations. Building energy simulation (BES) has been widely adopted for the investigation of building environmental and energy performance for different design and retrofit alternatives. Data-driven analytics is vital for interpreting and analyzing BES results to reveal trends and provide useful insights. However, seamless integration between BES and data-driven analytics current does not exist. This paper presents eplusr, an R package for conducting data-driven analytics with EnergyPlus. The R package is cross-platform and distributed using CRAN (The Comprehensive R Archive Network). With a data-centric design philosophy, the proposed framework focuses on better and more seamless integration between BES and data-driven analytics. It provides structured inputs/outputs format that can be easily piped into data analytics workflows. The R package also provides an infrastructure to bring portable and reusable computational environment for building energy modeling to facilitate reproducibility research. [ABSTRACT FROM AUTHOR]
- Subjects :
- *TELEOLOGY
*REPRODUCIBLE research
*BUILDING performance
Subjects
Details
- Language :
- English
- ISSN :
- 03787788
- Volume :
- 237
- Database :
- Academic Search Index
- Journal :
- Energy & Buildings
- Publication Type :
- Academic Journal
- Accession number :
- 149364890
- Full Text :
- https://doi.org/10.1016/j.enbuild.2021.110757