01Size the solar array
Annual household demand is 7,200 kWh/year. The existing solar calculator uses 950 kWh/kWp/year as an EngineerHub representative Baltic screening assumption; it is not an address-specific PVGIS or PVWatts result. For this worked example, an illustrative good-orientation factor of 0.95 and 5% additional shading are applied, giving:
950 × 0.95 × (1 − 0.05) = 857 kWh/kWp/year
A 100% annual-energy target therefore requires about 8.40 kWp. Using illustrative 440 W, 2.0 m² modules and a 12% layout allowance, that rounds up to 20 panels = 8.8 kWp, and the array uses about 44.8 m²—just within the stated 45 m² usable roof.
Important: 104.8% annual production does not mean the home is energy-independent. Production timing matters.
02Check the seasonal mismatch
Using the same representative northern solar profile and a winter-heavy household demand profile, the array produces far more than demand in late spring and summer, but much less than demand in winter. December is roughly 38 kWh of PV against 743 kWh of household demand in this simplified monthly model; June is roughly 1,201 kWh of PV against 486 kWh of demand.
Jan98 / 743
Feb263 / 714
Mar563 / 657
Apr863 / 571
May1089 / 514
Jun1201 / 486
Jul1164 / 457
Aug1013 / 486
Sep713 / 543
Oct413 / 600
Nov128 / 686
Dec38 / 743
Each cell shows approximate PV production / household demand in kWh for the month. This is a screening profile, not an address-level forecast.
A household battery shifts energy by hours—not from June to December. It can improve daytime-to-evening matching but does not solve seasonal storage.
03Size battery backup separately
For a 12-hour outage, suppose the home backs up a refrigerator, LED lighting, internet router, laptop and phone charging. Using the detailed appliance preset in the Battery Size & Backup Runtime Calculator, those loads require about 1.56 kWh before reserve. Adding a 15% energy margin gives 1.80 kWh at the load.
Using the Battery Size calculator’s EngineerHub screening assumptions of 90% allowable depth of discharge and 92% combined battery/inverter efficiency (replace these with actual product data for a real design):
Nominal battery = 1.80 ÷ (0.90 × 0.92) ≈ 2.17 kWh
The same load set needs only about 0.38 kW continuous after a 20% margin, but refrigerator startup raises the screening surge requirement to about 1.28 kW.
Nominal battery
≈ 2.17 kWh
Continuous power
≈ 0.38 kW
Lesson: a 10 kWh household battery would be much larger than needed for this narrow essential-load backup case. Whole-house backup is a different requirement and can be much larger.
04Test a 10 kWh battery for solar shifting
Now ask a different question: can a 10 kWh battery improve use of the 7,545 kWh/year PV system? Use the following illustrative EngineerHub screening assumptions: 45% of PV is already self-consumed directly, 90% usable battery fraction, 90% round-trip efficiency and 250 useful cycling opportunities per year. These are not product guarantees or a site-specific dispatch forecast.
Before the battery, about 3,395 kWh/year of PV is used directly and about 4,150 kWh/year is surplus. A 10 kWh battery has 9 kWh usable stored energy per cycle. Across 250 useful cycles, the annual charging-throughput limit is 2,250 kWh. After round-trip losses, it delivers about 2,025 kWh/year of useful solar energy later in the day.
PV self-consumption before
45.0%
PV self-consumption after
≈ 74.8%
Useful battery output
≈ 2,025 kWh/yr
Solar share of load
≈ 75.3%
These values are deliberately annualized. Real self-consumption requires hourly or sub-hourly solar and load data; the screening result shows the direction and the energy limits.
05Put a price on the shifted energy
For illustration only, assume electricity avoided in the evening is worth 0.25 currency/kWh and exported solar would otherwise earn 0.06 currency/kWh. With no grid charging, year-1 battery value is approximately:
2,025 × 0.25 − 2,250 × 0.06 ≈ 371 currency/year
At an installed battery cost of 6,000 currency, the simple payback is about 16.2 years before degradation, financing or other costs. That does not mean the battery is “bad”: backup resilience and tariff services can have value too. It means the solar-shifting economics alone are sensitive to the price spread and installed cost.
If another 5 kWh module costs 2,500 currency, the larger 15 kWh system captures more energy—but the incremental annual value is only about 186 currency/year under the same annualized assumptions, or roughly a 13.5-year incremental simple payback. This is the diminishing-marginal-value effect.
From one home to hyperscale infrastructure
At residential scale, storage decisions are dominated by roof production, household load timing, tariffs and outage priorities. At data-center scale, electricity demand also drives large cooling and infrastructure questions. For a very different scale comparison, use EngineerHub's Data Center Water Usage & WUE Calculator, which shows how IT load, PUE and heat-rejection architecture influence cooling-water demand.
The common engineering principle is the same: define the system boundary first, then keep power, energy, efficiency, timing and resource flows separate.