AlphaHydrogen is an open source OpenAI Gym environment that simulates the energy system of a residential community with distributed renewable power supply, fuel-cell vehicles, hydrogen stations, and power grid. Its objective is to advance the control of an integrated electricity-hydrogen building-vehicle-renewable energy system.
Cleaner power production, distributed renewable generation, building-vehicle integration, hydrogen (H2) storage and associated energy infrastructures are promising candidates for transformation towards a carbon-neutrality community with district energy flexibility enhancement. AlphaHydrogen allows the easy implementation of advanced controll agents in a multi-agent setting to achieve customized goals: load shifting, CO2 emission reduction, operational cost saving, and etc.
git clone https://github.com/WalterZWang/AlphaHydrogen.git
cd AlphaHydrogen
Set up the virtual environment with your preferred environment/package manager.
The instruction here is based on conda. (Install conda)
conda create --name alphaHydrogen python=3.8 -c conda-forge -f requirements.txt
conda activate alphaHydrogen
|
├── LICENSE
│
├── README.md
│
├── requirements.txt
│
├── gym_AlphaHydrogen
│ └── envs
│ │ ├──data
│ │ ├──inputs
│ │ ├──hydrogenCommunity.py
│ │ ├──model.py
│ │ ├──data_cleaning.ipynb
│ │ ├──test_gym.ipynb
│ │ └──test_model.ipynb
│ └── _init_.py
│
└── docs
gym_AlphaHydrogen: Code and data to develop the OpenAI Gym environment
gym_AlphaHydrogen/envs/hydrogenCommunity.py: Code of the environment
gym_AlphaHydrogen/envs/model.py: Individual models, including the model for vehicle, building, PV. grid, H2 station etc.
gym_AlphaHydrogen/envs/inputs: Input file of the environment
gym_AlphaHydrogen/envs/test_gym.ipynb: File to test the gym environment
gym_AlphaHydrogen/envs/test_model.ipynb: File to test the model
docs: documents (papers, figures) related to this environment
You can test the environment using the Jupyter notebook gym_AlphaHydrogen/envs/test_gym.ipynb
Notes
- Official Documentation of OpenAI Gym.
Feel free to send any questions/feedback to: Zhe Wang or Yingdong He
The MIT License (MIT) Copyright (c) 2019, The University of Texas at Austin
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
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