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StorageVET 2.0 is a valuation model for analysis of energy storage technologies and some other energy resources paired with storage. The tool can be used as a standalone model, or integrated with other power system models, thanks to its open-source Python framework. Download the executable environment and learn more at https://www.storagevet.com.

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StoragetVET 2.0

StorageVET 2.0 is a valuation model for analysis of energy storage technologies and some other energy resources paired with storage. The tool can be used as a standalone model, or integrated with other power system models, thanks to its open-source Python framework. Download the executable environment and learn more at https://www.storagevet.com.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites & Installing

1. Install Anaconda for python 3.**

2. Open Anaconda Prompt

3. Activate Python 3.8 environment

On Linux/Mac

Note that pip should be associated to a python 3.8 installation

pip install virtualenv
virtualenv storagevet-venv
source storagevet-venv/bin/activate

On Windows

Note that pip should be associated to a python 3.8 installation

pip install virtualenv
virtualenv storagevet-venv
"./storagevet-venv/Scripts/activate"

With Conda

Note that the python version is specified, meaning conda does not have to be associated with a python 3.8

conda create -n storagevet-venv python=3.8.13
conda activate storagevet-venv

3. Install project dependencies

pip install setuptools==52.0.0
pip install -r requirements.txt -r requirements-dev.txt
pip install numpy_financial==1.0.0

Running the tests

To run tests, activate Python environment. Then enter the following into your terminal:

python -m pytest test

Deployment

To use this project as a dependency in your own, clone this repo directly into the root of your project. Open terminal or command prompt from your project root, and input the following command:

pip install -e ./storagevet

Versioning

We use Gitlab for versioning. This is version 1.2.2

Authors

  • Miles Evans
  • Andres Cortes
  • Halley Nathwani
  • Ramakrishnan Ravikumar
  • Evan Giarta
  • Thien Nguyen
  • Micah Botkin-Levy
  • Yekta Yazar
  • Kunle Awojinrin
  • Giovanni Damato
  • Andrew Etringer

License

This project is licensed under the BSD (3-clause) License - see the LICENSE.txt file for details

About

StorageVET 2.0 is a valuation model for analysis of energy storage technologies and some other energy resources paired with storage. The tool can be used as a standalone model, or integrated with other power system models, thanks to its open-source Python framework. Download the executable environment and learn more at https://www.storagevet.com.

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