NZ wind resource layer (2026 web synthesis)
The primary NZ wind-speed datasets to replace CR_013's AI-derived small-wind CF (RT_250)
Identifies the authoritative NZ wind-resource data layers (NIWA climate maps + Global Wind Atlas) and the critical distinction between NZ utility wind CF (~40%) and small-wind CF (10–30%). The primary basis for re-deriving the model’s regional
wind_cf. ⚠ The datasets give wind SPEED (not small-turbine CF); per-region values require download; data_quality medium.
Summary
The authoritative NZ wind-resource layers are NIWA’s national/regional climate maps (mean wind speed, 500 m grid, 1981–2010 normals, via DataHub) and the Global Wind Atlas (wind speed + power density at 10–200 m, 250 m resolution, free). Both give wind speed; converting to a small-turbine capacity factor needs a power curve applied to the local wind distribution. NZ has a world-class utility wind resource (~40% CF), but small/distributed turbines achieve far less (10–30%) — the two must not be conflated.
Key claims
- claim: "Primary NZ wind-resource data layers: (1) NIWA national/regional climate maps give mean wind speed on a 500 m grid (1981–2010 climate normals, from climate-station data, with median/20th/80th-percentile statistics) via NIWA DataHub; NIWA flags mean annual wind speed >8 m/s as good wind-power potential. (2) The Global Wind Atlas (DTU/World Bank, free) gives wind speed + power density at 10/50/100/150/200 m above ground at 250 m resolution (ERA5 2008–2017 downscaled via WRF + WAsP). These are the authoritative primary layers to replace AI-derived regional wind CF."
source_location: "NIWA climate maps / DataHub; Global Wind Atlas"
- claim: "Conversion + the utility-vs-small-wind CF gap: these layers give wind SPEED, not capacity factor — converting to a small-turbine CF requires applying the turbine power curve to the local wind-speed (Weibull) distribution (the method CR_013 used). CRITICAL: NZ UTILITY wind CF ~40% (40–48%; Tararua ~46% = 650 GWh from 161 MW; some Manawatū sites >50%) — among the world's highest (Cook Strait / Manawatu Gorge funnelling) — does NOT apply to SMALL wind, which runs 10–30% (OT_062/CR_013), with building-mounted <8%. Small-wind regional CF must be derived from wind speed and is far below utility CF."
source_location: "MBIE/EECA + Wikipedia (utility CF); OT_062/CR_013 (small-wind CF)"
- claim: "National context + regional distribution: NZ installed wind capacity 690 MW (2020) → 1,059 MW (2023) → 1,265 MW (2024); generation 3,919 GWh (2024), >6% of electricity; NZWEA projects ~20% by 2035. Over three-quarters (512 MW) of wind generation is within 150 km of Palmerston North (Manawatū / Wellington / South Taranaki); Southland and Otago are the current growth corridors. Best small-wind regions track the same pattern (windy lower North Island, Cook Strait, exposed coasts/ridges) but at much lower CF."
source_location: "Wikipedia 'Wind power in NZ'; MBIE/EECA"Retrieval provenance
- Upstream: NIWA national/regional climate maps + DataHub; Global Wind Atlas (DTU/World Bank); MBIE/EECA wind statistics; Wikipedia “Wind power in NZ.”
- Retrieved via: WebSearch + WebFetch, 2026-06-12. (Queries + extracts in the
_retrieval.mdsidecar.) - Verification: AI-synthesised; the datasets named are authoritative but per-region wind-speed values require downloading NIWA DataHub / Global Wind Atlas; small-wind CF conversion is site/turbulence-sensitive.
data_quality: medium.
Neobiome Intelligence relevance
The primary wind-resource layer for the model (RT_250). The regional wind_cf (small_wind) can be re-derived from NIWA 500 m wind-speed maps or Global Wind Atlas 10 m via a small-turbine power curve — a defensible primary basis to replace CR_013’s AI-derived values (moving wind_cf from assumed toward sourced). For the parcel-GIS wind layer (§11 I3), Global Wind Atlas (10 m, 250 m GIS) or the NIWA 500 m grid are the data sources. ⚠ Critical model guard: NZ’s world-class ~40% utility CF must NOT be used for small_wind — small turbines achieve 10–30% (building-mounted <8%), so wind stays a marginal, windy-site-only option (consistent with OT_062 and the wind_turbine page). Resolves RT_250 (the data-source identification; an actual per-region re-derivation from NIWA/GWA + a power curve would fully firm wind_cf).
Research targets
Research gaps
- A per-region small-wind CF re-derivation from NIWA 500 m / Global Wind Atlas 10 m wind speeds + a standard small-turbine power curve would lift the model’s
wind_cffrom AI-derived (CR_013) to a documented primary basis — noted, no new RT (the data sources are now identified).
Connections
Links to
Technologies (1): community-scale)
Referenced by
Sources (3): DS_001 · OT_121 · URL_017
EDT domains (1): D01: Renewable Energy & Storage Systems
Technologies (1): community-scale)