Source
https://www.energyrating.gov.au/industry-information/publications/report-2021-residential-baseline-study-australia-and-new-zealand-2000-2040 — original source (opens in a new tab; the file is not redistributed)
EnergyConsult (2020) — RBS2.0 Methodology Report
The documented methodology behind the RBS dataset OT_070 draws on — provenance for RT_237, plus the time-of-use demand method
The methodology report (EnergyConsult for the Australian Dept of Industry, Science, Energy & Resources; 2 Sept 2020, V1.3) for the Residential Baseline Study 2.0 — a bottom-up engineering end-use energy model of the AU + NZ residential sectors. It documents the AEC = Stock × UEC core method, the new time-of-use (average hourly demand) method, and the RBS2.0 additions (battery storage + EV products). ⚠ NZ is 1 of 9 regions and the load-profile data is Australian-sourced — provenance/method value, not a NZ diurnal-shape source. data_quality: verified.
Summary
The methodology report for the 2021 update (RBS2.0) of the Residential Baseline Study — the Australian Government’s bottom-up engineering model of residential energy end-use across the 8 Australian states/territories and New Zealand (9 regions). It describes the unchanged core method (annual energy = product stock × unit energy consumption, aggregated across ~129 products to a national total, projected to 2040) and four enhancements: time-of-use/power-demand-by-hour, weather linkage, policy-scenario testing, and finer product granularity. For Neobiome it is primarily provenance and method for the appliance dataset that Rewiring Aotearoa’s household model draws on (OT_070, RT_237), plus a documented method for turning annual energy into an average hourly (and hence 3-slice) demand profile.
Key claims
- claim: "The RBS is a bottom-up engineering end-use energy model of the residential sector in Australia AND New Zealand, run by EnergyConsult for the Australian Dept of Industry, Science, Energy & Resources (earlier editions 1999, 2008, 2015). It computes Annual Energy Consumed = Stock Numbers × Unit Energy Consumption (UEC), aggregated across ~129 products to locality/national totals and projected to 2040. NZ is modelled as 1 of 9 regions (8 AU states/territories + 1 NZ); NZ-specific products exist (ESWH Small/Med/Large NZ, PV-NZ1/NZ2, wood 'Wetbacks' water heating)."
source_location: "§2 Summary of Core Model p.3; Appendix A Underlying Method p.25; Table 3 product list pp.34–38"
- claim: "Time-of-use method (Enhancement 1): average hourly demand is derived by proportioning each product's Annual Energy Consumption to a typical day (by season and weekday/weekend), then across 24 hours via a daily load profile that SUMS TO 1.0. Default season/day-type proportions: Summer 0.247, Winter 0.252, Shoulder-Daylight-Savings 0.251, Shoulder-Non-DS 0.250; weekday share 0.71429, weekend 0.28571 (weekday days 64.3–65.7, weekend 25.7–26.3). Profiles do not vary by year; 72–288 profiles per product, ~12,816 total (178 products × 4 seasons × 2 day-types × 9 regions)."
source_location: "§5 Enhancement 1 pp.16–18 (equation + default proportions table p.17)"
- claim: "Hourly vs half-hourly resolution makes <8% difference to average power for a typical Victorian winter weekday (Figure 2), so the RBS adopts hourly (not ½-hourly) profiles; AEMO requested hourly. The load-profile data sources are the CSIRO household-monitoring study (2012–2017), Solar Analytics, and Sustainability Victoria — all Australian."
source_location: "§5 Enhancement 1 p.16 (data sources) + p.19 Figure 2"
- claim: "Unit energy is UEC = Hours of usage × Usage Adjustment Factor × Unit Capacity × Unit Efficiency. For space conditioning the UAF bundles duty cycle, reverse-cycle use, saturation, building shell, and occupancy (~10% of dwellings unoccupied at any time). Reverse-cycle heating varies sharply by climate — only ~5% of AC units are used for heating in the Northern Territory vs ~95% in Tasmania — a cold-climate heat-pump-for-heating signal. Peak demand uses kW = units × kW/unit × RLF × DF × CF (TecMarket/Stern combined approach)."
source_location: "Appendix A: Space Conditioning Method pp.28–30; Peak Electricity Demand Method pp.30–31"
- claim: "RBS2.0 adds new products as explicit model lines: battery storage (BSS — Retrofit S1/S2 and Integrated S1/S2), EV (Transport end-use), PV >10kW, plus RF-Drink/RF-Wine fridges, Broadband Terminal and Smart Speaker/Display. Modes are condensed to Operation 1 (heating), Operation 2 (cooling), Auxiliary and Standby."
source_location: "Table 3 product list (new RBS2.0 items in blue) pp.37–38; Table 2 Modes p.27"Neobiome Intelligence relevance
Two distinct values, both bounded by one big caveat. (1) Provenance for RT_237 — this is the documented method behind the RBS dataset that OT_070 (Rewiring Aotearoa) draws appliance energy from; it confirms the bottom-up AEC = Stock × UEC logic that the NI engine mirrors (per-household → community aggregation) and the UEC = Hours × UAF × Capacity × Efficiency decomposition behind the model’s appliance/heat figures. (2) A documented time-of-use method — the AEC→hourly-profile-summing-to-1.0 approach is exactly the logic the NI 3-slice demand-shape uses; the season/day-type proportions (Summer 0.247 / Winter 0.252 / Shoulder ~0.25) are a defensible annual→seasonal split if the model ever seasonalises beyond its single representative day, and the <8% hourly-vs-half-hourly finding independently corroborates the NI coarse-resolution caveat (cf. OT_061). RBS2.0 also treating battery storage and EVs as first-class residential products affirms their place in the NI demand/generation scope. ⚠ The binding caveat: NZ is 1 of 9 regions and the diurnal load-profile data is Australian-sourced (CSIRO / Solar Analytics / Sustainability Victoria) — so any RBS NZ load shape is AU-data-driven and weaker than GREEN Grid (RD_019) for the NZ 3-slice fractions; use RBS for method and provenance, not as a NZ demand-shape source. It is also a methodology/specification (Sept 2020) describing the planned RBS2.0 — population-average, explicitly not for individual dwellings. Advances RT_237 (the closing NZ numbers are in the RBS output tables).
Research targets
Research gaps
- RT_237 (advanced): this report is the methodology + provenance; the NZ appliance/household energy numbers that close it are in the RBS Output Tables (NZ) xlsx.
Connections
Links to
Referenced by
EDT domains (1): D01: Renewable Energy & Storage Systems