Files
generalFunctions/datasets/assetData/curves/aerostrip-phoenix.json
znetsixe c59da5ca98 refactor(curves): canonical axis Nm³/(h·m² membrane) for all diffuser suppliers
Previously each curve file stored x in whatever convention the vendor
used (per-element Nm³/h for Jäger/GVA, per-element Sm³/h for PIK/PRK,
per-m² for Aerostrip). That meant the diffuser physics couldn't read
the data uniformly — selecting Aerostrip vs Jäger would feed wildly
different axes to the same interpolator.

All five curves now use the same canonical X: specific air flux in
Nm³/(h·m² membrane). Y stays SSOTR in g O₂/(Nm³·m); coverage % is the
parametric key.

Per-file conversions:
- jaeger-jetflex-td-65-2-g-epdm-1000: x divided by 0.18 m² perforated
  area (stated on the data sheet).
- gva-elastox-r: x divided by 0.18 m² placeholder mirroring Jäger
  TD-65 (no real GVA sheet exists — see _meta note).
- aerostrip-phoenix: native already in Nm³/(h·m²) — no x change. _meta
  area normalised to 1.0 m² per "element" so users set `elements` =
  total installed membrane area in m².
- pik300, prk300 (Sulzer ABS 300 mm disc): native was Sm³/h/disc on
  X and g O₂/(Sm³·m) on Y. Converted to canonical Nm³ basis (DIN-1343)
  by X × 0.9319 / 0.07, Y × 1.0732. Each disc = 0.07 m² membrane.

Supplier naming fixed: pikprk → sulzer, aquaconsult → aquaconsult-entec.
PIK = perforated EPDM, PRK = perforated PUR.

Config schema: new diffuser.membraneAreaPerElement field (nullable,
default null) so a node can override the curve's stored area. When
null, specificClass reads _meta.membraneArea_m2_per_element from the
resolved curve.

246/246 generalFunctions tests still pass.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-12 18:16:34 +02:00

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{
"_meta": {
"supplier": "Aquaconsult Anlagenbau / Entec",
"type": "Strip",
"model": "AEROSTRIP",
"membrane": "PHOENIX",
"membraneArea_m2_per_element": 1.0,
"membraneArea_m2_per_element_note": "Aerostrip strips are sized continuously rather than as discrete fixed-area elements. Setting per-element area to 1.0 m² is a normalisation choice: configure the diffuser node with `elements` equal to the total installed strip membrane area in m².",
"stdAir": { "temp_C": 0, "pressure_mbar": 1013.25, "RH_pct": 0 },
"coverageBasis": "bottom-coverage-pct",
"coverageReference": [5, 10, 15, 20],
"dataQuality": "multi-coverage",
"xAxisBasis": "per-m2-membrane-Nm3h",
"yAxisBasis": "ssotr-g-per-Nm3-per-m",
"waterDepth_m": 4.75,
"sources": [
"Floris de Winter (Entec Holland) email to R. de Ren on 2023-11-22 — tabulated SOTE [%] at 4.75 m water depth for bottom coverage 5/10/15/20 % at fluxes 10/25/40/55/70 Nm³/(h*m² membrane). Original chart in 'SSOTE_4.75m different density.pdf'.",
"'SSOTR_dP.pdf' — AEROSTRIP fine-bubble diffuser SSOTR + Druckverlust (DWP) chart at water depth 4.05 m, blow-in depth 4.00 m, 21 % bottom coverage. Used for the DWP curve only (read off the vector chart)."
],
"note": "SSOTR values are SOTE [%] / water_depth_m × 0.299 kg-O₂/Nm³ × 10 (linear depth scaling). DWP curve was measured at 21 % bottom coverage; pressure loss is intrinsic to the diffuser geometry so the curve is shared across coverage values (single 'p_curve' entry under key '0')."
},
"sote_curve": {
"5": { "x": [10, 25, 40, 55, 70], "y": [34.20, 28.75, 26.16, 24.89, 24.19] },
"10": { "x": [10, 25, 40, 55, 70], "y": [42.01, 35.32, 32.14, 30.58, 29.71] },
"15": { "x": [10, 25, 40, 55, 70], "y": [43.39, 36.48, 33.20, 31.59, 30.69] },
"20": { "x": [10, 25, 40, 55, 70], "y": [43.80, 36.82, 33.51, 31.88, 30.97] }
},
"ssote_curve": {
"5": { "x": [10, 25, 40, 55, 70], "y": [7.20, 6.05, 5.51, 5.24, 5.09] },
"10": { "x": [10, 25, 40, 55, 70], "y": [8.84, 7.44, 6.77, 6.44, 6.26] },
"15": { "x": [10, 25, 40, 55, 70], "y": [9.14, 7.68, 6.99, 6.65, 6.46] },
"20": { "x": [10, 25, 40, 55, 70], "y": [9.22, 7.75, 7.06, 6.71, 6.52] }
},
"otr_curve": {
"5": { "x": [10, 25, 40, 55, 70], "y": [21.53, 18.10, 16.47, 15.67, 15.23] },
"10": { "x": [10, 25, 40, 55, 70], "y": [26.44, 22.23, 20.23, 19.25, 18.70] },
"15": { "x": [10, 25, 40, 55, 70], "y": [27.31, 22.96, 20.90, 19.89, 19.32] },
"20": { "x": [10, 25, 40, 55, 70], "y": [27.57, 23.18, 21.10, 20.06, 19.49] }
},
"p_curve": {
"0": {
"x": [5, 10, 25, 40, 55, 70, 80],
"y": [46.0, 47.3, 51.1, 54.9, 58.7, 62.4, 65.0]
}
}
}