Climate change impacts on transmission line ampacity in West Africa — analysis code
# Climate change impacts on transmission line ampacity in West Africa
Reproducible analysis pipeline for assessing how projected changes in temperature, wind speed, and solar radiation reshape the thermal current-carrying capacity (ampacity) of overhead transmission lines across West Africa, under SSP2-4.5 and SSP5-8.5 scenarios, for the BISON ACSR 382-AL1/49-ST1A conductor.
> This repository contains the **code and summary results**. The underlying climate data (ERA5, NEX-GDDP-CMIP6) is not redistributed — see `DATA.md` for access.
## Key findings
| Region | Historical mean | Mid-century change (SSP5-8.5) | Notable seasonal signal |
|---------------|-----------------|-------------------------------|-----------------------------------------------------------|
| **Guinea** | 962 A | +20.7 % | Uniform gains (+17–24 %) driven by monsoon wind intensification |
| **Sahelian** | 1 147 A | +1.2 % (annual) | **Winter decline of −4.9 %** — Harmattan weakening |
| **Soudanian** | 1 041 A | +7.7 % | Intermediate pattern, slight winter decline |
Wind-speed evolution — not temperature — is the leading driver of projected ampacity change across West Africa. Pearson correlation between daily ampacity and 10 m wind speed reaches **+0.7 to +0.9** over most of the domain. This contrasts with the temperature-dominated regime documented for mid-latitude regions.
## Repository layout
```
.
├── src/ — analysis pipeline (pure Python)
│ ├── ampacity_calculator.py core physics (Bartos / Churchill-Bernstein / IEEE 738)
│ ├── calculate_era5_ampacity.py historical (1985–2014) from ERA5
│ ├── calculate_era5_ampacity_less_heavy.py
│ ├── calculate_long_term_ampacity.py future (2015–2070) from NEX-GDDP
│ ├── calculate_long_term_ampacity_simple.py
│ ├── additional_analyses.py post-p …