A comprehensive simulation framework for analyzing Bangladesh's energy transition and energy security scenarios.
This project provides a detailed simulation framework for analyzing Bangladesh's energy transition pathways, focusing on renewable energy integration, grid stability, market operations, and environmental impacts. The framework includes multiple interconnected models that simulate various aspects of the energy system.
- Energy System Model: Simulates power generation, demand, and system operation
- Economic Model: Analyzes investment requirements, costs, and economic impacts
- Environmental Model: Calculates emissions, water use, and land use impacts
- Grid Stability Model: Analyzes power system stability and reliability
- Storage Model: Models energy storage technologies and their integration
- Demand Response Model: Simulates load flexibility and demand-side management
- Transmission Network Model: Analyzes power flow and network constraints
- Distribution Network Model: Models low-voltage network operations
- Market Model: Simulates electricity market operations and pricing
- Weather Model: Analyzes weather patterns and renewable resources
- Base case simulation
- Scenario analysis
- Sensitivity analysis
- Advanced visualizations
- Comprehensive reporting
- Clone the repository:
git clone https://github.com/deluair/Renewable-Energy-Transition-and-Energy-Security-for-Bangladesh.git
cd Renewable-Energy-Transition-and-Energy-Security-for-Bangladesh
- Create a virtual environment (recommended):
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
- Install dependencies:
pip install -r requirements.txt
- Base Simulation:
python -m bangladesh_energy.run_simulation
- Scenario Analysis:
python -m bangladesh_energy.run_scenarios
- Sensitivity Analysis:
python -m bangladesh_energy.run_sensitivity
The simulation generates several output files in the results
directory:
- CSV files with detailed results
- PNG files with visualizations
- Markdown reports summarizing findings
bangladesh_energy/
├── models/
│ ├── energy_system.py
│ ├── economic_model.py
│ ├── environmental_model.py
│ ├── grid_stability.py
│ ├── storage_model.py
│ ├── demand_response.py
│ ├── transmission_network.py
│ ├── distribution_network.py
│ ├── market_model.py
│ └── weather_model.py
├── analysis/
│ ├── advanced_analysis.py
│ └── visualization.py
├── config/
│ └── simulation_config.py
├── utils/
│ └── helpers.py
├── tests/
│ └── test_simulation.py
├── run_simulation.py
├── run_scenarios.py
└── run_sensitivity.py
The simulation parameters can be configured in simulation_config.py
. Key parameters include:
- Energy system parameters
- Economic parameters
- Environmental parameters
- Grid stability parameters
- Storage parameters
- Demand response parameters
- Market parameters
- Weather parameters
- Fork the repository
- Create a feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
For questions and feedback, please open an issue in the GitHub repository.
- Developed as part of research on Bangladesh's energy transition
- Special thanks to all contributors and researchers in the field