RMV2.0 is an open-source R package for performing advanced measurement and verification 2.0 (M&V 2.0)for Commercial Buildings. Aimed to run locally, the package provides algorithms and a graphical user interface (GUI) that is browser-based and the data analysis is fully contained within the user’s hardware (no data or results are uploaded to the internet). The intent of the package is to help M&V practitioners to perform with a high level of automation the following:
- Quickly and easily summarize and visualize smart meter data.
- Create energy consumption baseline models using advanced algorithms.
- Screen smart meter data for commercial customers to identify buildings that are well suited to the automated M&V approach; use this information to target future whole-building projects.
- Estimate savings.
- Identify potential non-routine events (NRE) in the post-installation period using statistical methodology.
To install RMV2.0 package the user is required to install:
- R (version 3.4.2 or later), which is an open source programming language and software environment for statistical computing
- A web browser such as Chrome, Firefox or Safari
- RStudio, which is an open source integrated development environment (IDE) for R
- devtools R package, which is providing R functions that simplify R package installation from github
Once R and RStudio are installed, open RStudio and install the devtools package by running in the console the following command:
install.packages("devtools")Install the RMV2.0 package using the following commands:
devtools::install_github("LBNL-ETA/RMV2.0")
devtools::install_version("shinyFiles", version = "0.6.2")Check out the project site for more details.