JSON project file to contain all the information of a parametric project (fully implemented in version 2.0)
GUI designed for setting up and managing parametric simulations with
EnergyPlus, as well as collecting and post-processing results into CSV tables
Supports multiple versions of EnergyPlus simultaneously (since version 2.0)
It also supports
TRNSYS parametrics (since version 1.3/version 1.5)
Command-line interface for using jEPlus with other programs (since version 1.4)
Flexible syntax for specifying alternative values, including importing from files and random sampling from specified probabilistic density functions, including Gaussian, Uniform, Triangular, Exponential, Log-normal (since version 1.7) and Discrete distributions
Support combinatorial parameters, i.e. parameters containing two or more search strings and the corresponding value sets (since version 1.4)
Support formula in parameter definition, which allows values to be calculated from other parameters (improved in version 1.6)
Parameter definitions can be imported from and export to a CSV-styled text file, making the task of editing a large number of parameters easier (improved in version 1.4)
Random sampling of jobs using Random shuffling, Latin Hypercube Sampling (
LHS, since version 1.3), and Sobol Sequence Sampling (
Sobol since version 1.7)
Supports Windows/Mac/Linux versions of EnergyPlus; supports EP-Macro and HVACTemplate objects
Supports multi-processor/multi-core systems; easy to choose the number of processors to deploy
Resource and progress monitor for controlling the number of computer cores to deploy on-the-fly. It helps users keep an eye on memory and disk space when running a large project. The monitor also allows you to pause and resume a project. (since version 1.3)
In-built text editor supports basic syntax highlighting for IDF/IMF files, quick location of parameters, and incremental search functions with regular expression support (improved in version 1.5)
Extracts simulation results from both ESO (using ReadVarsESO) and tabular (using SQLite, since version 1.4, or CSV, since version 1.6) outputs
Parametric results are collected in CSV tables (improved in version 1.5)
Python scripts can be used for both pre-processing (manipulating model based on parameter values of each case, since version 1.7) and post-processing (reading, extracting results and calculating user-defined variables during result collection, improved in version 1.6)
Utility tab for collecting and compiling results table without rerunning the simulations. Simple statistics (mean, variance, min and max) can be performed during result collection. (since version 1.1)
Utility for running Python script in the project folder for further analysis (improved in version 1.6)
Utility for easily updating projects to later E+ versions using IDF version converter (since version 1.5, Windows only)