A new framework of conducting parametric analysis on EnergyPlus models via R


Parametric analysis using EnergyPlus has been a powerful approach to enable investigation of environmental and energy performance for different design and retrofit design alternatives. However, the absence of streamlined workflow integrating model editing, simulation and output extracting raises problems in the productivity of parametric analysis. This paper presents a newly developed framework for conducting parametric analysis using EnergyPlus via the programming language R package called “eplusr”. The proposed framework, with a data-centric design philosophy, focuses on not only EnergyPlus model editing but also parametric simulation output data extraction and analysis. It provides rich-featured interfaces to query and modify models programmatically and a simple yet flexible and extensible prototype of conducting parametric simulations and collecting all results in one go. The paper discusses the philosophy behind the framework, its architecture and core capabilities, and uses simple tasks to demonstrate the streamlined workflow of conducting parametric analysis in R.

eSim2020 (Accepted)