Self-consumption: the number that decides whether solar pays

A unit you use is worth about 26p. The same unit exported is worth about 4p. So the single most important figure in domestic solar is what share you use — and the UK’s own official method puts it far lower than most calculators assume, including, until we checked, ours.

Self-consumption is the share of your generation you use rather than export, and it decides the answer more than anything else on your roof.

A unit used saves your import rate — 26.11p under the current price cap. A unit exported earns your SEG rate, and many tariffs pay 4.1p or less. The same kilowatt hour is worth six times more if somebody is in to use it.

MCS’s own guidance note puts a typical household with a 4 kWp array at 14% to 23% without a battery. Most calculators assume far more. So did ours, until we read the document.

The six-to-one ratio

Everything on this page follows from one arithmetic fact.

What happens to a kilowatt hourWhat it is worthSource
You use it as it is generated26.11p avoidedOfgem price cap unit rate, direct debit, 1 July to 30 September 2026
You export it on a good untied tariff12p earnedBest untied rate in our SEG table
You export it on a common tariff4.1p earnedA rate several suppliers in Ofgem’s latest SEG report pay
You export it with no SEG tariff0pNo export tariff, or no export meter

So generation is not the product. Generation multiplied by what each unit is worth is the product, and self-consumption is what sets the second term.

Why this dwarfs everything else
Moving a 4 kWp array from Shetland to Sussex gains about 50% more generation. Moving the same array from 14% to 60% self-consumption changes the money by more. Nobody chooses their latitude; everybody has some influence over the second one — which is exactly why sales material prefers to talk about the first.

What the UK’s official method says

MCS publishes the authoritative UK method in guidance note MGD 003, and every MCS installer is required by MIS 3002 to give you a self-consumption figure derived from it, in writing, before you buy.

The method takes three inputs:

  1. Annual generation from the array, in kWh.
  2. Annual electricity consumption of the property, in kWh, from actual meter readings or bills. Where it cannot be established, MGD 003 directs the installer to use 3,500 kWh.
  3. An occupancy archetype, chosen by asking the occupier which best describes them.

The archetypes are the interesting part, because they are the whole behavioural model reduced to three options:

ArchetypeMGD 003’s description
Home all day“generally occupied by at least one occupant between 9:00am to 5:00pm on weekdays”
In half the day“typically empty for half the day e.g. either all morning or all afternoon on weekdays”
Out all day“typically empty on weekdays”

Where occupancy is unknown, the guidance says to use the “in half the day” table. The number of occupants is not an input: MGD 003 treats it as already represented by the annual consumption figure.

You then read a percentage out of a lookup table and multiply it by generation.

The figures, for the most common case

Here is the case a great many British households are actually in: Ofgem’s typical medium consumption of 2,500 kWh a year, and a 4 kWp south-facing array, which on our own modelling generates about 3,676 kWh in London.

That puts you in MGD 003’s 2,500–2,999 kWh consumption tables at the 3,600–3,899 kWh generation row. The PV-only column gives:

OccupancySelf-consumptionOf 3,676 kWh, you useYou export
Home all day23%about 845 kWhabout 2,830 kWh
In half the day19%about 700 kWhabout 2,980 kWh
Out all day14%about 515 kWhabout 3,160 kWh

Between one fifth and one seventh. Not half, and not the two thirds that a payback figure on an installer’s website often quietly assumes.

Two patterns worth knowing, both visible in the tables:

It falls steeply as the array grows relative to demand. For the same home-all-day household, MGD 003 gives 86% for a tiny array under 300 kWh, 29% at around 2,550 kWh of generation, 23% at 3,750 kWh and 17% at 5,850 kWh. This is the ceiling effect: surplus has nowhere to go but the grid.

Occupancy moves it by a factor of about 1.6. Being home all day rather than out all day raises self-consumption by around 60% in relative terms — real, and smaller than the difference a modestly sized battery makes.

What a battery does

On MCS’s figures, quite a lot. For the same household and the same 3,676 kWh array, the home-all-day row moves from 23% with no storage to 37% at 1.1–2.1 kWh of usable capacity, 45% at 2.1–3.1 kWh and 50% at 3.1–4.1 kWh. Those are the column bands MGD 003 uses, and the capacity that counts is usable rather than nameplate.

MGD 003 also sets a hard ceiling: “the self-consumption cannot exceed 95% of the total annual generation”, however much storage is fitted.

A battery shifts electricity by hours, not by months. It cannot move a July surplus into a January evening, so it does not close the seasonal gap described on solar irradiance in the UK. Sizing one is a separate calculation and a page we have not written yet.

The limits MCS states about its own method

This is the part worth reading before treating any figure as a prediction, and MGD 003 is admirably direct about it.

It is an average, not a forecast. The guidance says self-consumption determined by it “is not a performance prediction for an individual property but rather it is the average self-consumption for a sample of domestic properties with similar occupancies, electricity consumption and solar PV systems.”

Whole categories of load are excluded. MGD 003 says that additional self-consumption from “non-typical domestic loads such as electric space heating, swimming pools, heat pumps, electricity power diverters, electric water heating and electric vehicles is not accounted for in the method.”

That exclusion is a large gap in 2026, and it cuts in the direction that favours solar. A household charging a car at home in daylight, or running a heat pump, will self-consume more than these tables show, so for those households the figure should be read as conservative. How much more, MGD 003 does not say — and neither will we, because we have no source for it.

It is year one only. It does not account for panel degradation, battery degradation, or people changing their habits.

The research behind it predates 2022. It rests on Loughborough University occupancy research, battery modelling developed with Advance Further Energy, and validation by the BRE National Solar Centre.

The correction we made to our own calculators

We had this wrong, so it goes here rather than in a changelog nobody reads.

Both our calculators asked for a self-consumption range and defaulted to one. The rooftop calculator defaulted to 25–60% and the plug-in calculator to 50–90%, both labelled as our assumption rather than a measurement — which was honest about the type of the number but not about its size. Having now read MGD 003 properly, those defaults were too high, and the rooftop one was comprehensively so: the bottom of our range sat above the top of what the official method gives for the same scenario.

So we have changed them:

CalculatorWasNowBasis
Rooftop solar25–60%14–23%MGD 003, 2,500–2,999 kWh consumption, 3,600–3,899 kWh generation, PV only, across the three archetypes
Plug-in solar50–90%40–56%MGD 003, same consumption band, 600–899 kWh generation, PV only, across the three archetypes

The direction of the error is the one that should embarrass us: it flattered solar, which is the same failure we criticise elsewhere on this site. The cause was ordinary — we set a plausible-looking range early and did not go back to the primary document until we wrote this page. That is precisely why the site’s rules say figures must come from sources rather than from judgement.

Both remain editable inputs, because the right value depends on your consumption, your generation and your occupancy, and only you know the third.

The defaults are correct for the calculator’s own default scenario and only for that. Change the system size or your consumption materially and the appropriate range moves — downward as the array grows relative to demand. The calculators say so on the page, and the honest source of a figure for your own case is MGD 003 or an MCS installer’s written estimate.

How to raise your own self-consumption

Ordered roughly by how much they achieve for what they cost.

Move flexible loads into daylight. Dishwasher, washing machine, tumble dryer, immersion heater, car charging. Free, and it acts on the largest single controllable chunk of household demand.

Get your own half-hourly data. Your supplier holds it and you can ask for it. It is the only thing that turns this question from a lookup table into a measurement.

Consider a solar diverter before a battery. Diverting surplus to hot water is cheaper than storing it in a battery, and MGD 003 excludes diverters from its model, so the tables understate what one does.

Then consider a battery. It is the largest single lever and the most expensive one. On MCS’s figures, 3–4 kWh of usable capacity roughly doubles self-consumption for a typical household.

Size the array to the consumption, not the roof. If the goal is value per pound rather than maximum generation, an array that overshoots annual demand is buying kilowatt hours at 26p of value and selling them at 4p.

Get an export tariff regardless. Whatever your self-consumption, the surplus is worth more than nothing. Our SEG table lists every rate we could find, and the gap between the best untied tariff and a common one is roughly threefold.

Sources

  1. MGD 003: Solar PV Self-Consumption, issue 2.0 (1 April 2022) MCS · Accessed 17 August 2026
  2. MIS 3002: The Solar PV Standard, issue 6.0 MCS · Accessed 17 August 2026
  3. Energy price cap unit rates and standing charges Ofgem · Accessed 15 August 2026 · OGL v3.0
  4. Smart Export Guarantee Annual Report — SEG Year 5 Ofgem · Accessed 15 August 2026 · OGL v3.0
  5. Review of typical domestic consumption values: decision Ofgem · Accessed 15 August 2026 · OGL v3.0

Contains public sector information licensed under the Open Government Licence v3.0.

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