Last edited 26 Jan 2026

Cambridge Housing Model

Cambridge Housing Model model uses English Housing Survey 2011 data, coupled to a SAP-based energy calculator, to estimate energy use and CO2 emissions for all homes in England, broken down by final use. It i indicated that the model was developed by Cambridge Architectural Research to underpin the 2012 Housing Energy Fact File and Energy Consumption in the UK, and to inform housing policy decisions. The Cambridge Housing Model model is also reference in the Cost Optimal Domestic Electrification CODE project, which in turn is mentioned in the more recent Policy paper Warm Homes Plan: Technical annex published 21 January 2026 by the UK government.

The original Cambridge Housing Model model was published to encourage scrutiny of the model, and in line with government policies on transparency. The model continues to be developed, and feedback and comments are welcomed. The government page covering the Cambridge Housing Model and user guide can be found here although links are currently broken.

Indication is that Cambridge Energy were also a partner in the project and offer the model for all homes in England, broken down by final use and the User Guide via on Dropbox and the Cambridge Non-Domestic Model Report as well as a working version of the model. On their site Cambridge Energy describe the project thus:

"We developed this model over three years for BEIS (previously known as DECC), to underpin the Housing Energy Fact File and Energy Consumption in the UK, and to inform housing policy decisions. It was published to encourage scrutiny of the model, and in line with Government policies on transparency. The model is is now feeding into the National Household Model – a model for Great Britain that will run upgrade scenarios. The Cambridge Housing Model uses English Housing Survey data, coupled to a SAP-based energy calculator, to estimate energy use and CO2 emissions for all homes in England, broken down by final use. The Model and User Guide are available on Dropbox.

We built on this experience by developing a non-domestic energy model, which allows you to explore the effect of upgrading different numbers of buildings on energy use and carbon dioxide. Non-domestic buildings have long been neglected in energy modelling in favour of housing – partly because the diversity of non-domestic buildings makes them harder to model, and partly because there is much less reliable data available describing non-domestic buildings.

However, non-domestic buildings currently account for around a fifth of total carbon emissions. Part of these emissions come from so-called ‘regulated’ energy uses (like heating, lighting and air conditioning), while the rest comes from ‘unregulated’ energy uses (like catering, lifts, computers and other appliances).

Our model addresses both. It also includes the effect of new buildings being added to the stock, and old buildings being demolished. It suggests that – if we pulled out all the stops and worked really hard on non-domestic buildings – the UK could save 45 TWh of energy by insulating all of these buildings by 2022, or just under 25% of energy use in this sector. Or, if we both insulate all these buildings and upgrade their lighting to modern, energy efficient lights, we could save 72 TWh (38%).

The model allows you to change assumptions about the carbon intensity of electricity over time, and demolitions and new building. It also shows the regional impact of different upgrade paths, year-by-year to 2022."

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