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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: Ctotal = Cpv × Ppv + Cbatt × Ebatt

  • Cpv: PV capital cost (€/kW)
  • Ppv: PV capacity (kW)
  • Cbatt: Battery capital cost (€/kWh)
  • Ebatt: Battery energy capacity (kWh)

Energy Balance (∀ t ∈ T)

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)

Battery Dynamics

  • SOC(t) = SOC(t-1) + ηch × Pch(t) - (Pdis(t)/ηdis)

  • SOC(0) = 0.1 × Ebatt

  • 0 ≤ SOC(t) ≤ Ebatt

  • ηch, ηdis = 0.9 (efficiencies)

Technical Constraints

Ppv ≥ max(L(t)) / max(CFpv(t))

Pdis(t) ≤ Ebatt - 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 commercial reduction (40% decrease)

  • Agricultural activity limited to daylight hours

  • Random variations in demand (±10-20%)

Notation Key

Symbol Description
CFpv PV capacity factor
SOC State of Charge
ηch Charge efficiency
ηdis Discharge efficiency
h(t) Hour of day (0-23)

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