el1xr_opt 1.0.8

An open-source optimization model for the design and operation of hybrid renewable energy systems with automatic solver setup

Electricity for Low-carbon Integration and eXchange of Resources (EL1XR)

el1xr_opt is the core optimisation engine of the EL1XR-dev ecosystem. It provides a powerful and flexible modelling framework for designing and analysing integrated, zero-carbon energy systems, with support for electricity, heat, hydrogen, and energy storage technologies.

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🚀 Features

• Modular formulation for multi-vector energy systems

• Compatible with deterministic, stochastic, and equilibrium approaches

• Flexible temporal structure: hours, days, representative periods

• Built on Pyomo

• Interfaces with EL1XR-data (datasets) and EL1XR-examples (notebooks)

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📂 Structure

• src/: Core source code for the optimisation model.

• data/: Sample case studies.

• docs/: Documentation and formulation notes.

• tests/: Validation and regression tests.

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📦 Prerequisites

• Python 3.12 or higher.

• A supported solver: Gurobi, CBC, or CPLEX. Make sure the solver is installed and accessible in your system’s PATH.

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🚀 Installation

There are two ways to install el1xr_opt:

Option 1: Install from PyPI (Recommended)

You can install the latest stable release from PyPI:

pip install el1xr_opt

Option 2: Install from Source (for Developers)

If you want to work with the latest development version or contribute to the project, you can install it from the source:

1. Clone the repository:

git clone https://github.com/EL1XR-dev/el1xr_opt.git
cd el1xr_opt

2. Create and activate a virtual environment (recommended):

python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required Python packages:

pip install -r requirements.txt

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⚡ Quick Example

Run the included Home1 example case with the following command from the root directory:

python src/el1xr_opt/oM_Main.py --dir data --case Home1 --solver gurobi

This will run the optimization and save the results in the data/Home1 directory.

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Usage

To run the optimisation model, use the oM_Main.py script from the src directory. If you run the script without arguments, it will prompt you for them interactively.

python src/el1xr_opt/oM_Main.py --case <case_name> --solver <solver_name>

Command-line Arguments

• --dir: Directory containing the case data. For the sample cases, this would be data.

• --case: Name of the case to run (e.g., Home1). Defaults to Home1.

• --solver: Solver to use (e.g., gurobi, cbc, cplex). Defaults to gurobi.

• --date: Model run date in “YYYY-MM-DD HH:MM:SS” format. Defaults to the current time.

• --rawresults: Save raw results (True/False). Defaults to False.

• --plots: Generate plots (True/False). Defaults to False.

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🤝 Contributing

Contributions are welcome! If you want to contribute to el1xr_opt, please follow these steps:

1. Fork the repository.

2. Create a new branch for your feature or bug fix.

3. Make your changes and commit them with a clear message.

4. Push your changes to your fork.

5. Create a pull request to the main branch of this repository.

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📄 License

This project is licensed under the terms of the GNU General Public License v3.0.