Renewable Energy Site Selection
GIS-based multi-criteria suitability analysis for solar and wind projects.
Trigger
Use when the user wants to:
- Screen for solar PV or wind farm sites
- Compare renewable energy development zones
- Estimate potential installed capacity
- Apply constraints (slope, land cover, protected areas)
CLI Usage
# Solar site selection
python scripts/renewable_energy_site_selection.py \
--resource-raster ghi.tif \
--slope-raster slope.tif \
--land-cover landcover.tif \
--technology solar
# Wind with constraints
python scripts/renewable_energy_site_selection.py \
--resource-raster wind_speed.tif \
--slope-raster slope.tif \
--land-cover landcover.tif \
--water-mask water.tif \
--protected-mask protected.tif \
--technology wind
# Custom weights
python scripts/renewable_energy_site_selection.py \
--resource-raster ghi.tif \
--slope-raster slope.tif \
--land-cover landcover.tif \
--weights '{"resource":0.5,"slope":0.15,"grid_distance":0.2,"land_cover":0.15}'
Parameters
| Parameter | Default | Description |
|---|---|---|
--resource-raster |
required | Solar GHI (W/m²) or wind speed (m/s) |
--slope-raster |
required | Slope in degrees |
--land-cover |
required | Land cover classification raster |
--water-mask |
None | Water body mask (1=water) |
--protected-mask |
None | Protected area mask (1=protected) |
--grid-distance |
None | Distance to grid (m) |
--technology |
solar | solar or wind |
--weights |
JSON | Factor weights |
--max-slope |
15 | Max slope (degrees) |
--suitability-threshold |
0.6 | Min score for candidates |
--min-area |
10000 | Min site area (m²) |
--capacity-density |
auto | MW/km² (solar=40, wind=8) |
--output-dir |
./energy-site-output | Output directory |
Output
| File | Description |
|---|---|
suitability.tif |
Suitability score raster [0, 1] |
candidate_sites.geojson |
Candidate site polygons with capacity |
report.html |
HTML summary report |
output-manifest.json |
Machine-readable manifest |
Exit Codes
| Code | Meaning |
|---|---|
| 0 | Success |
| 2 | Argument error |
| 3 | Dependency missing |
| 6 | Data validation failure |
| 7 | Processing failure |
数据下载
本 skill 可自动从 NASA POWER 下载数据 (无需 API key):
python renewable_energy_site_selection.py --bbox 116,39,117,40 --date-range 2024-06-01,2024-06-30 --output-dir <tmp>
--bbox W,S,E,N: WGS-84 边界框 (西, 南, 东, 北)--date-range START,END: 日期范围 (YYYY-MM-DD,YYYY-MM-DD)--aoi-file <path.geojson>: 替代 --bbox 的 GeoJSON 多边形--cache-dir <path>: 缓存目录 (默认 ~/.geoskill_cache)
当用户只给 --bbox + --date-range (没有 --image) 时，skill 自动下载数据。
当用户给 --image 时，走原文件路径 (向后兼容)。