This project analyzes renewable energy potential in Ethiopia through two complementary approaches:
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National Annual Analysis: Land availability assessment for wind/PV across Ethiopia
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City Diurnal Analysis: Optimization model for PV+battery systems in Arsi Negele city
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Land Availability Analysis
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Exclusion layers: Population density, protected areas, elevation
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Capacity potential calculation using Atlite
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Spatial visualization of eligible areas
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Energy System Optimization
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Hourly resolution optimization model
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PV + battery storage system
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Synthetic load profile generation
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Performance metrics calculation
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Minimize: Ctotal = Cpv × Ppv + Cbatt × Ebatt
- Cpv: PV capital cost (€/kW)
- Ppv: PV capacity (kW)
- Cbatt: Battery capital cost (€/kWh)
- Ebatt: Battery energy capacity (kWh)
Ppv × CFpv(t) + Pdis(t) = L(t) + Pch(t) + Pcurt(t)
- CFpv(t): PV capacity factor [0-1]
- Pdis(t): Discharge power (kW)
- L(t): Load demand (kW)
- Pch(t): Charge power (kW)
- Pcurt(t): Curtailed power (kW)
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SOC(t) = SOC(t-1) + ηch × Pch(t) - (Pdis(t)/ηdis)
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SOC(0) = 0.1 × Ebatt
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0 ≤ SOC(t) ≤ Ebatt
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ηch, ηdis = 0.9 (efficiencies)
Ppv ≥ max(L(t)) / max(CFpv(t))
Pdis(t) ≤ Ebatt - SOC(t-1)
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Sector-Specific Patterns:
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Residential: Dual peaks (8 AM & 8 PM) with elevated base load
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Commercial: Midday peak (1 PM) with weekend reduction
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Agricultural: Dual daytime peaks (8 AM & 2 PM)
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Peak demand ≈5-6.5 MW
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Average demand ≈3.5-4 MW
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Minimum nighttime demand ≈1.5-2 MW
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Residential: 50%
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Commercial: 30%
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Agricultural: 20%
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Weekend commercial reduction (40% decrease)
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Agricultural activity limited to daylight hours
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Random variations in demand (±10-20%)
Symbol | Description |
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CFpv | PV capacity factor |
SOC | State of Charge |
ηch | Charge efficiency |
ηdis | Discharge efficiency |
h(t) | Hour of day (0-23) |