parametric-simulation-energyplus

Parametric building performance simulation using Python for EnergyPlus

create_idfs.py

Copies and manipulates existing .idf files for Monte Carlo simulation (i.e. uses random sampling techniques to create multiple .idf files to then be run in EnergyPlus).

dir data_files

Store .csv files in here for the variable parameters with their defined mean and standard deviations.

• equipment_props.csv (static parameters for equipment, lighting, system variables, etc.)
• mat_props.csv (materials)
• house_scheds.csv (schedules)

dir IDFs

This is where the .idf files are stored.

read_predictions.py

Reads eplusmtr.csv files and combines them in a dataframe. These can then be saved as a .hdf file for quicker loading.

read_measurement.py

Project specific. This will read measurement data from .csv files extracted from sub-metering systems, short-term monitoring and gas meters.

sensitivity_analysis.py

Perform sensitivity analysis on the predictions, uses the read_predictions to get the eplusmtr.csv results and correlates these with the input parameters generated during random sampling.

compare_timeseries_datasets.py

Script to visualise and compare two datasets, in particular in this case predicted and measured energy use.