The Home Energy Model (HEM) is the government’s eventual replacement for SAP – but “eventual” is doing real work in that sentence. HEM’s own launch has slipped more than once, most recently on 8 June 2026, and it now sits on a genuinely separate timeline from the Future Homes Standard’s confirmed 24 March 2027 in-force date. For housebuilders and assessors, that distinction matters: SAP 10.3 is what you’re using for FHS compliance right now, and will be for some time after the Standard itself takes effect.

Updated August 2026: HEM’s launch was delayed again on 8 June 2026. SAP 10.3 remains the sole approved methodology for Future Homes Standard compliance, with HEM now expected “in the coming months.”

The Home Energy Model (HEM) is the calculation methodology intended to eventually replace SAP for both Building Regulations compliance and EPC generation. Where SAP works from monthly averages, HEM runs a half-hourly simulation – 17,520 timesteps a year – to build a genuinely dynamic picture of how a home performs, rather than a monthly snapshot.

It’s easy to assume HEM will simply be ready by the time the Future Homes Standard comes into force on 24 March 2027. That’s not how the two timelines actually relate.

The Future Homes Standard’s Approved Documents, published 24 March 2026, confirmed SAP 10.3 as the sole approved compliance methodology at launch – meaning HEM isn’t required, or expected, to be available on 24 March 2027 itself. HEM’s own approval runs on a different clock:

In short: SAP 10.3 isn’t a short bridge to be used for a few months before FHS arrives – it’s the tool you’ll be using both before and for some time after the Standard itself comes into force, until HEM launches and the 24-month dual-running window closes.

Beyond the calculation frequency, the practical difference for anyone specifying or modelling a home is the sheer increase in the data HEM requires. Many of the new inputs need specialist evidence from across the project team, not just the assessor’s usual sources.

External factors and building fabric

Heating, hot water and ventilation

Renewables and energy storage

Two further differences worth knowing about, beyond the data burden itself:

Regional, not UK-average, climate data. HEM drops SAP’s single UK-average weather assumption in favour of 16 localised regional climate datasets. A house type that clears compliance in Bristol can fail the same assessment in a colder or wetter region – so a “copy-paste” standard house type across a multi-region portfolio can no longer be assumed to pass everywhere it currently does.

Tighter notional air permeability. In BEE’s own testing against the HEM beta, the notional air permeability target drops further than under SAP 10.3 alone – from 4.0 m³/(h·m²) at 50 Pa under the interim SAP 10.3 notional building, to 3.0 m³/(h·m²) under HEM.

It’s a fair question to ask of any tool still in beta: is HEM genuinely more accurate, or just more complicated? The government’s own Home Energy Model consultation sets out the validation work carried out so far, testing HEM against both established modelling tools and real, monitored homes.

On the modelling side, HEM was benchmarked against PHPP and ESP-r – two well-established building energy models – across a set of archetype dwellings, and showed good alignment with both on space heating demand and internal temperature. On the real-world side, HEM was tested against monitoring data from occupied and unoccupied homes, including two test houses from the International Energy Agency’s Annex 58 project, the Camden Passivhaus and three homes at the Marmalade Lane development in Cambridge. At Marmalade Lane specifically, once calibrated to each dwelling, HEM tracked the measured data consistently more closely than SAP 10.2 did over the same comparison.

None of this makes HEM a finished product – the government’s own documentation flags plenty of areas still under development – but it’s a reasonable answer to “why bother,” backed by primary evidence rather than just the promise of a more detailed methodology.

In SAP, a missing data point usually meant a neutral default – a minor inconvenience. Under HEM’s ECaaS engine, missing inputs default to the worst-performing equipment plausible on the market. That can push a genuinely borderline design into an outright compliance failure, triggering a late-stage redesign that a slightly more organised data room would have avoided.

There’s a real time cost too: in our own testing, a standard house type that takes around 20 minutes to model in SAP 10.2 took roughly 1 hour 40 minutes in HEM – in the same order as the wider 5x increase in modelling time we’ve seen quoted elsewhere for HEM’s 200-plus structured data parameters. [EDITOR NOTE: both figures are our own internal testing, from slightly different points in HEM’s beta – worth a quick check with Ryan before republishing on which is the more current estimate, since ECaaS has moved from limited beta toward wider access since these were first recorded.] Combined with the calculation lag on HEM’s cloud engine itself – often 5–10 minutes per run – the assessor workload increases substantially, and fee structures are likely to follow.

The clearest way to see what’s changed is to run one design through both methodologies. Testing a standard 120m² detached house type – a typical 2021 Part L specification, air permeability 4.0, an air source heat pump at 45°C flow temperature, dMEV ventilation, and a 2.7 kWp solar PV array – against both tools produced two very different verdicts:

The gap came down to two things HEM captures that SAP doesn’t. First, HEM evaluates the heat pump’s efficiency dynamically against half-hourly regional weather data rather than a static seasonal average – so cold snaps show up directly as an efficiency penalty. Second, HEM uses updated, forward-looking carbon and primary energy factors for a decarbonising grid, which recalculates how grid electricity and on-site generation interact.

The fix, in this case, wasn’t more insulation – the fabric had already cleared its own checks. It was a modest uplift in solar PV, from 2.7 kWp to 4.5 kWp, which brought the design back into compliance. On a wider portfolio test of the same house type, the required uplift varied noticeably by orientation: a south-facing plot needed roughly 4.2 kWp of additional array to clear the target, while an identical house type facing north needed around 5.3 kWp – meaning orientation is no longer a cost-neutral decision once solar sizing is treated as a compliance requirement rather than an optional extra.

What’s Next?

HEM is still coming, but not on the same clock as the Future Homes Standard itself. The practical step now is the same either way: get your data room in order – shading, glazing specs, pipework, inverter details – so that whichever methodology you’re modelling against, missing information isn’t the thing that costs you a redesign.

We’ve undertaken Future Homes Standard Modelling for a number of housebuilders already (Cotswold Homes, Woodstock Homes, Acorn Property Group) – if you’d like your house types modelled against SAP 10.3 now, with an eye on what HEM will eventually ask for, our team can talk you through the practical steps.

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