NZ residential demand diurnal shape — GREEN Grid Part B reconstruction (compiled synthesis)
Compiled research — reconstructed from period-averages, not the time series
A Claude / Perplexity-MCP research-agent synthesis (Perplexity MCP unavailable → WebSearch + Consensus fallback). The 3-slice fractions are reconstructed from the GREEN Grid EECA Part B published period-average power figures, not the underlying half-hourly series. data_quality: medium.
Summary
Reconstructs the three time-of-day slice fractions of daily NZ household electricity from the GREEN Grid EECA Part B period-average load curve: total-load annual 0.23 / 0.26 / 0.51, heating-stripped 0.25 / 0.20 / 0.55 (solar_day / evening_peak / night_base). The “Research A” demand-shape option for the NI electricity engine, companion to CR_019 (Research B). The two agree on solar_day (~0.22–0.23) but diverge on the evening peak (0.26 here vs 0.38 in CR_019): this reconstruction uses the 4-hour-window average (~1.7× the daily mean), whereas CR_019 applies a peak-half-hour multiplier (~2.2×). The divergence is the load-bearing uncertainty for battery sizing.
Key claims
- claim: "Reconstructed from GREEN Grid EECA Part B winter period-averages (morning 07–09 0.76 kW, daytime 09–17 0.48 kW, evening 17–21 0.94 kW, night 21–07 0.41 kW), the total-load three-slice split of daily NZ household electricity is ~0.23 / 0.26 / 0.51 (solar_day / evening_peak / night_base), annual blend."
- claim: "Heating-stripped three-slice split is ~0.25 / 0.20 / 0.55 — removing space + water heating (concentrated in the evening/morning) lowers the evening fraction and raises night_base."
- claim: "The evening (17–21) window holds ~a quarter of daily ENERGY even though its peak power nearly doubles in winter; the 14-hour night_base window holds ~half — so a flat 0.30/0.40/0.30 placeholder overstates the evening energy share."
- claim: "GREEN Grid is per-dwelling, gross demand (pre-solar), n=44 (heat-pump-over-represented, non-representative); ~38% of the winter evening peak is space + water heating."Three-slice fractions
| Slice | Total annual | Winter | Summer | Heating-stripped |
|---|---|---|---|---|
| solar_day (09–15) | 0.23 | 0.22 | 0.25 | 0.25 |
| evening_peak (17–21) | 0.26 | 0.28 | 0.22 | 0.20 |
| night_base (rest) | 0.51 | 0.50 | 0.53 | 0.55 |
Neobiome Intelligence relevance
The “Research A” option in the workbook profiles → demand_distribution selector (E1/E2); heating-stripped frame matches elec_nonheat. Held alongside CR_019 (Research B, higher evening fraction) as competing options pending primary-data resolution via the EPECentre database (RT_224) or EECA 2024 Miller study (RT_225).
Research targets
Upstream is the GREEN Grid dataset (RT_165, open); the firming path (EPECentre ~18k-ICP DB, EECA 2024 Miller) is already captured as RT_224 / RT_225 (raised with CR_019). No new RTs.
Connections
Links to
Sources (1): CR_019
Referenced by
Sources (3): LIT_078 · OT_061 · RD_021
EDT domains (1): D01: Renewable Energy & Storage Systems