kbuni123/Renewable-energy-ethiopia

# Renewable Energy Potential Analysis for Ethiopia ## Project Overview This project analyzes renewable energy potential in Ethiopia through two complementary approaches: 1. **National Annual Analysis**: Land availability assessment for wind/PV across Ethiopia 2. **City Diurnal Analysis**: Optimization model for PV+battery systems in Arsi Negele city ## Key Features - Land Availability Analysis - Exclusion layers: Population density, protected areas, elevation - Capacity potential calculation using Atlite - Spatial visualization of eligible areas - Energy System Optimization - Hourly resolution optimization model - PV + battery storage system - Synthetic load profile generation - Performance metrics calculation ## Key Equations ### Objective Function (Minimize Total Cost): Minimize: C total = C pv × P pv + C batt × E batt - *C pv *: PV capital cost (€/kW) - *P pv *: PV capacity (kW) - *C batt *: Battery capital cost (€/kWh) - *E batt *: Battery energy capacity (kWh) ### Energy Balance (∀ t ∈ T) P pv × CF pv (t) + P dis (t) = L(t) + P ch (t) + P curt (t) - *CF pv (t)*: PV capacity factor [0-1] - *P dis (t)*: Discharge power (kW) - *L(t)*: Load demand (kW) - *P ch (t)*: Charge power (kW) - *P curt (t)*: Curtailed power (kW) ### Battery Dynamics - SOC(t) = SOC(t-1) + η ch × P ch (t) - (P dis (t)/η dis ) - SOC(0) = 0.1 × E batt - 0 ≤ SOC(t) ≤ E batt - *η ch , η dis * = 0.9 (efficiencies) ### Technical Constraints P pv ≥ max(L(t)) / max(CF pv (t)) P dis (t) ≤ E batt - SOC(t-1) ## load-profile-generation - Sector-Specific Patterns: - Residential: Dual peaks (8 AM & 8 PM) with elevated base load - Commercial: Midday peak (1 PM) with weekend reduction - Agricultural: Dual daytime peaks (8 AM & 2 PM) ### Realistic Scaling: - Peak demand ≈5-6.5 MW - Average demand ≈3.5-4 MW - Minimum nighttime demand ≈1.5-2 MW ### Demand Allocation: - Residential: 50% - Commercial: 30% - Agricultural: 20% ### Real-World Considerations: - Weekend co …