Kianjn/Electricity-Planning-Zambia

Energy scenario modeling for Zambia using Hypatia and Gurobi # Electricity-Planning-Zambia This project models and analyzes the electricity planning for Zambia, focusing on six scenarios to achieve sustainable energy by 2030: 1. **BAU**: Business as Usual. 2. **STEPS**: Stated Policies Scenario. 3. **Announced Pledges**: Optimistic projections based on governmental commitments. 4. **Diversification**: Reducing reliance on hydroelectric power (<50% share by 2030). 5. **Mini Grids**: Improving rural electrification with standalone systems. 6. **HRES Mini Grids**: Net-zero emission microgrids using hydrogen and renewable energy. ## 🛠 Tools and Technologies - **Hypatia**: Python-based energy system modeling. - **Gurobi**: Optimization solver. ## 📊 Key Results - Comprehensive analysis of Zambia's energy sector challenges. - Recommendations for achieving energy reliability and accessibility. - Scenario-based modeling for reducing CO₂ emissions and increasing renewable energy penetration. ## 📂 Project Structure - `data/`: Datasets (population, demand, CO₂ emissions, etc.). - `models/`: Python scripts for modeling scenarios. - `results/`: Outputs like charts and energy mix visualizations. - `docs/`: Final report and documentation. - `resources/`: Some resources used as a reference, in pdf format ## Other Contributers - Paola Latini - Giuseppe Masterangelo - Virginia Fiameni - Andrea Giudici ## References - Hypatia: github.com - Gurobi: gurobi.com