Learn about wind farms
Explore operational history, resource patterns, assumptions and source evidence for individual sites.
GB operational wind · transparent by design
Long-term generation estimates for GB wind farms.
This assessment combines recorded generation with long-term wind resource data to estimate how much electricity operational GB wind farms could generate over the long term. Explore the model-based results on a map: select a wind farm, compare sites and discover the data behind each estimate.
Model-based estimates for benchmarking, screening and research. About the results.
A clearer view of performance
01Recorded generationWhat the site produced
02Long-term wind resourceHow windy the years were
Put them togetherModel-based generation estimateResource-corrected, with explicit assumptions
Conceptual illustration · not an asset result
Why resource-correct?
A windy year and a quiet year are not the same test.
Raw annual generation reflects both how a wind farm performs and how much wind it had to work with. Long-term resource correction helps put the observed record into context.
Benchmark and compare
Compare available site estimates with a consistent view of generation, resource and recorded losses.
Screen opportunities
Build an initial view of potential assets to investigate further, although not a substitute for technical or investment due diligence.
Customise the assumptions
Start with our defaults. Explore your own assumptions.
You can customise the included months, resource dataset and, where hourly data support it, future loss assumptions in each site assessment. Recalculate to see how your choices change the generation estimate. These are working assumptions, not guarantees.
Recent history is informative
By default, the latest 36-calendar-month window of eligible generation is used as a guide to the site. Gaps are not filled by reaching further back; you can inspect and change the included months.
Future losses resemble historical losses
Where hourly data support it, forward loss defaults are based on the selected historical months. You can override future availability, curtailment and import loss assumptions. Inferred losses do not prove a cause; monthly certificate losses remain embedded and are not separately adjustable.
ERA5 represents long-term resource
ERA5 is the default reference; you can choose another available resource dataset for long-term calibration. These are gridded weather data, not site measurements. Check each dataset's coverage and definition; hourly loss modelling continues to use ERA5.
Assessments use the current plant configuration where it can be established, require at least three complete eligible generation months, and remain provisional. Details and source limitations are in About and methodology.
The Calton Works vision
Open analysis. Shared understanding. Better opportunities.
Our vision is for transparent energy-yield assessments built on open-source analysis, open data and open results, so anyone can understand the evidence, explore the assumptions and contribute improvements.
Open-source methods make calculations inspectable and adaptable. Open data lets others trace the evidence, reproduce the analysis and update it as new information becomes available. Open results make it easier to share insights, compare approaches and build on each other's work.
A shared, transparent starting point can help owners, investors, lenders and advisers build confidence and reach a fair, evidence-led agreement on a site's model-based generation estimate. By making assumptions and uncertainties visible, we hope to support smoother collaboration and create more space for practical site improvements and performance opportunities.
This project is a step towards that vision. Openness supports informed judgement; it does not remove uncertainty or replace project-specific assessment. The analysis code is open source and assessment results are available under CC BY 4.0; source datasets retain their own terms but are publicly available.
Open data. Informed decisions.
Take the analysis further with Calton Works.
Calton Works advocates for open data and transparent, reproducible analysis. This project shows what becomes possible when generation and resource data are made available to explore, challenge and learn from.
Contact Charlie at Calton Works if any of these questions sound familiar:
- Have feedback or an idea for this project? Share your experience, ask a question or suggest what would make the analysis more useful.
- See a result that differs significantly from your expectations? We'd be interested to understand why and explore the data and assumptions with you.
- Want to request a project-specific assessment? Get support with operational energy yields, including sensitivity analysis and uncertainty assessment beyond the deterministic central estimates provided by this app.
- What could your SCADA data tell you? Discuss SCADA analysis to investigate operating behaviour and identify potential performance improvements.
- Interested in releasing wind farm data? Explore how to prepare and share useful operational datasets, with appropriate context, permissions and licensing.
- Could this approach help in another market or region? Discuss adapting the analysis to local generation records, resource data and operating conditions.
- Looking for solar PV analysis? Get in touch about project-specific analysis and opportunities beyond this app's current GB wind scope.