Find sites for solar, wind and battery projects

Tell Noda what you want to build and where. It shows you the land left after the grid, protected areas and setbacks, with a source on every layer.

Example question: Find grid lines and substations, protected areas, cadastre and terrain for my project area in Romania.
Noda searching Vaslui county, Romania, for wind farm land: the chat checks the Zone J grid queue while the map shows 110 kV lines, substations, Natura 2000 sites and settlement buffers

Ask where to build, see the land that is left

Name the technology, the size and the region. Noda maps the grid, protected areas and setbacks, then ranks the areas worth a visit. The example: a 90 MW wind farm in Vaslui county, Romania.

Noda AIVaslui Wind Farm Study
Find the best areas in Vaslui County (Romania) for a 90 MW wind farm. I would prefer land near 110kv lines or a substation, of course outside any environmental areas that may apply in this market (i am new to romania) and also away from villages, show me it on the map please
Noda AI
Read 6 documentation pages, read 3 files, executed code 73 times, searched the web, used 3 tools · 11m 4s

The 110 kV network is thin and runs along the towns. Let me export the layers for the map.

also put it onto my map please
Noda AI
Read 3 files, executed code 8 times, used 26 tools · 2m 49s

Vaslui wind siting screen: constraints, 110 kV grid and ranked priority areas

vaslui_wind_screen.pngimagesWorkspace

Ranked screening areas with wind, terrain and grid-distance figures

vaslui_wind_areas.csvanalysisWorkspace

Done — 11 layers are on your map, framed on the county, plus a figure and the ranked table.

The short answer

Vaslui works, but it is a second-tier wind county and it is already crowded. The best unconstrained land sits on the open plateaus, not the high wooded hills: mean wind at 100 m runs 6.0–6.5 m/s where you can actually build, against 7.5–8.5 m/s in Dobrogea on the coast. The economics will be tighter than the headline Romanian wind numbers suggest.

Six priority areas came out of the screen:

#AreaSizeWind @100 mGrid
1Popeni1,010 ha6.33 m/son a 110 kV line
2Podu Petriș (N)1,466 ha6.33 m/son a 110 kV line
3Iaz1,745 ha6.30 m/son 110 kV, 16 km to a sub
4Podu Petriș (S)916 ha6.35 m/son a 110 kV line
5Corni-Albești1,546 ha6.50 m/s3.1 km to line, at a substation
6Vinețești924 ha6.27 m/son a 110 kV line

They fall in three clusters: around Bârlad in the south (1, 2, 4, 6), the centre near Rediu/Roșiești (5), and the north around Iaz/Miclești (3). Area 5 is the one I'd look at first — best wind of the six and a substation on its doorstep. Area 9 (Gara Roșiești, 1,669 ha, 2.2° slope, 0.85 km to a substation) is the flattest and cheapest to build on, but 10 km from a line.

How the areas were drawn

Vaslui is 5,322 km². Removing protected areas, forest and water, then a 1,000 m buffer around every village, leaves about 1,769 km² (33%). Adding your grid and wind criteria leaves 314 km², which breaks into the areas above.

Map of Vaslui county, Romania: the six priority wind areas outlined in white, the 110 kV and 220 kV lines, substations, and Natura 2000 and other protected areas© OpenFreeMap © OpenMapTiles © OpenStreetMap contributors · EEA · geoBoundaries
Layers
Add data
RoadsBordersPlace namesWind speed at 100 m (GWA)110 kV network (Delgaz Grid area)Vaslui county boundarySettlement 1 km buffer (setback)110/220 kV substations (named)National protected areasNatura 2000 sitesExisting and permitted wind projects220 kV network (Transelectrica)Priority wind areas (top 6)Forest and woodland

Every layer keeps its source and date. The run labelled its power lines “OSM 110 kV lines, pulled 2026-10-01, unverified”, and said why: OpenStreetMap barely tags substations in Vaslui.

A parcel on the map is a lead. The landowner, the land registry and the grid operator confirm land rights and capacity.

How Noda gets the data it needs

When a source has no download button, Noda works out another route and records each step, failed tries included. The example: the wind data for one county.

21 steps, 8 minutes

  1. Look for the wind data.Mean wind at 100 m, from the Global Wind Atlas
  2. Dead end: The atlas’s map service.No layers. Tried another way.
  3. Search the web for a download route.
  4. Read the download page.
  5. Dead end: Four likely data addresses.None worked. Tried another way.
  6. Read the map’s page code.A 4.2 MB script, read on the second try
  7. Find the data feed behind the map.A tile service named in the code
  8. Dead end: Three test tiles.None came back. Rechecked the code.
  9. Fix the tile address.One folder too many in the path
  10. Download 60 tiles for the county.Wind, power density and elevation
  11. Put it on your map, with source and date.

Result. 3.8 to 8.3 m/s at 100 m across the county, mean 6.1. Global Wind Atlas, 60 tiles, pulled 1 Oct 2026.

Questions about finding sites

Something else? Write to hello@noda.energy.

Tell it the technology, the size and the area. Noda finds the grid, land and environmental records there and maps the land that is left, in hectares. Where OpenStreetMap has gaps, it turns to the grid operator's records and project registers, and marks the layer unverified.

The grid, because a site far from a usable substation rarely survives. Then protected areas, distance to homes, slope, flood risk, land cover and access. Setbacks follow the local rule. In Romania, for example, the health ministry's Order 119/2014 sets 1,000 m between wind farms and homes. Noda states the rule and the method for each check, so you can see why land was taken out.

Yes. For a battery the grid node matters more than the land, so Noda starts from the substations near your area and what the operators publish about capacity and the queue. Then it checks the land around them for size, access, flood risk, protected areas and distance to homes. The grid operator still confirms capacity.

A parcel on the map is a lead for your land team. The landowner and the land registry confirm availability, and the grid operator confirms capacity. Noda gives you a short list of areas worth those calls, with the evidence for each.

Where do you want to build?

Ask in your own words. You can attach a PDF, KML, GeoJSON, CSV or Excel file.

Example question: Find grid lines and substations, protected areas, cadastre and terrain for my project area in Romania.

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