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Price-Signal-Based HPWH Controller

This repository contains the code and input files used to simulate a price-responsive control strategy for Heat Pump Water Heaters (HPWHs) using the OCHRE simulation framework.

Getting Started

1. Install OCHRE

To begin, install the OCHRE platform by following the steps in the official user tutorial:

OCHRE User Tutorial (Google Colab)

Note: It is highly recommended to install OCHRE locally (e.g., in Visual Studio Code) rather than running it in Colab. All simulations in this repository were performed using a local setup.

2. Download Input Files

The repository includes input files required to run the simulations:

  • .xml: Defines the building and equipment properties.
  • .csv: Contains the water usage schedule.
  • .epw: Includes weather data in EnergyPlus Weather format.

Make sure to place these files in the correct directories as specified in each script.

3. Download the HPWH model

  • hpwh_model.py: HPWH model script that has to be placed in the same directory as the run_dwelling.py script placed in the default path of OCHRE

4. Run the Controller

The controller includes both single-day and multi-day simulation options:

Single-Day Simulation

  • sd_price_based_control.py: A basic script that runs a simulation using one water draw profile.

Multi-Day Simulation

  • md_price_based_control.py: Simulates using a single water draw profile across multiple days.
  • md_large_scale_simulations.py: Simulates using eight diverse water draw profiles for a broader evaluation.

5. Analyze Results

Once a simulation is complete:

  • Move the output results to your preferred analysis environment.
  • Run the appropriate result analysis script (provided in this repo) to assess:
    • Energy savings
    • Cost reduction
    • Load shifting performance
    • Statistical significance

Additional OCHRE Resources

For more information about OCHRE, visit the following links: