# π¬π PyPSA-Ghana
**Open-source power system research model for Ghana β vanilla PyPSA, real data, reproducible science.**
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## What this is
PyPSA-Ghana is a research-grade power system model for Ghana, built on vanilla PyPSA. It uses real hourly demand data constructed from Ghana's Wholesale Electricity Market (WEM) bulletins and a validated generator fleet from the Energy Commission's National Energy Statistical Bulletin.
This repository is the **research layer** of a two-repo Ghana modelling framework:
| Repo | Purpose |
| ----------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------- |
| **pypsa-gh** | Ghana configuration for PyPSA-Earth β automated network building, ERA5 renewable potential, infrastructure planning |
| **pypsa-ghana** β you are here | Vanilla PyPSA research analysis β real WEM demand, validated dispatch, contingencies, LEAP integration, paper |
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## What it does
```
pypsa-gh (PyPSA-Earth) pypsa-ghana (this repo)
ββββββββββββββββββββββ βββββββββββββββββββββββ
ERA5 solar/wind profiles βββββββΊ Renewable capacity factors
Network topology (6 nodes) βββββββΊ Transmission constraints
Real WEM hourly demand (2024)
Validated generator fleet
Baseline dispatch optimisation
SCOPF contingency analysis
Emissions tracking
LEAP demand scenarios 2030-2070
Least-cost capacity expansion
βΌ
βββββββΊ Validated results feed back to pypsa-gh
```
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## Research programme
### Phase 1 β 2024 Baseline (current)
- 8,760-hour demand profile constructed from WEM Bulletins Issues 91β102
- Generator fleet: 20+ plants, real marginal costs from fuel prices and heat rates
- Dispatch optimisation validated against Energy Commission Statistical β¦