Authoritative geometry first
Boundary Layer brings together wind farm boundaries and turbine locations from authoritative public sources so every dossier starts from geography that can be inspected.
Offshore wind intelligence
Public offshore wind records, augmented by AI and improved by the community
Boundary Layer is a project for offshore wind intelligence that aims to use AI to augment public information. We do this by bringing together wind farm boundaries and turbine locations from authoritative sources, then using AI to conduct research on these projects with the aim of extracting detailed information and timelines, or to verify and provide confidence in the sources. For each wind farm we then aim to create a project dossier.
Why the name
Why is it called Boundary Layer?
The name is a play on words. In offshore wind, the atmospheric boundary layer (ABL) matters because it shapes the wind conditions that turbines operate in. At the same time, this product is largely about mapping, where boundaries and layers are basic building blocks of how the information is organised and explored.
AI research with provenance
AI is used to extract detailed project information, timelines, and confidence signals from public sources, with source-backed evidence shown in the dossier UI.
Community corrections matter
Offshore wind is a complex landscape and AI makes mistakes. Community Notes let informed users correct the record, and moderator-approved notes can win over other sources.
Project dossiers
Each wind farm opens into a source-backed working record
Each wind farm opens into a dossier with capacity, status, geometry, recent developments, and source-backed research detail, where it is clearly highlighted where AI has fed in. All facts presented should have a source so the user can check where something came from.
High-level flow
How Boundary Layer turns public records into working dossiers
The workflow starts with public offshore wind datasets, adds AI-led research and verification, then keeps the resulting dossier open to community correction.
01
Step
Collect public base records
Bring together wind farm boundaries, turbine locations, and linked public offshore wind datasets.
02
Step
Research and verify with AI
Use AI to research projects, extract timelines and details, and provide confidence in public sources.
03
Step
Assemble a project dossier
Open each wind farm into a dossier with capacity, status, geometry, recent developments, and source-backed research detail.
04
Step
Improve the record with community notes
Let users correct the record, with moderator-approved notes able to override upstream or AI-derived values when appropriate.
Why community notes matter
It's a complex landscape and AI makes mistakes. The offshore wind community is often the best keeper of this information, so users can correct the record. If a correction is accepted by moderators, it can win over all other sources.
Public data sources
Source attribution is part of the product
Boundary Layer draws from public marine and offshore wind datasets, then layers verified research provenance on top. The data-sources page explains where those records come from, which landing pages we link to publicly, and how attribution is handled in the dossier UI.
Open data sourcesOpen data
Boundary Layer publishes open offshore wind data
The aim is to create an open database for offshore wind that anyone can inspect, reuse, and build on. That starts with releasing the data freely, then making its sources, research provenance, and community corrections clear enough for others to scrutinise and improve.
Download the dataset