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EVOLV/wiki/findings/curve-non-convexity.md
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Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-11 22:24:51 +02:00

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---
title: Pump Curve Non-Convexity
created: 2026-04-07
updated: 2026-04-07
status: proven
tags: [curves, interpolation, C5, non-convex]
sources: [nodes/generalFunctions/datasets/assetData/curves/hidrostal-C5-D03R-SHN1.json]
---
![code-ref](https://img.shields.io/badge/code--ref-9ab9f6b-blue) ![type](https://img.shields.io/badge/type-algorithm_finding-orange)
> [!NOTE]
> Reference page. Maintained for context; not regenerated by code. See [Home](Home) for current top-level navigation.
# Pump Curve Non-Convexity from Sparse Data
## Finding
The C5-D03R-SHN1 pump's power curve is non-convex after spline interpolation. The marginal cost (dP/dQ) shows a spike-then-valley pattern:
```
C5 dP/dQ across flow range @ ΔP=2000 mbar:
6.4 m3/h → 1,316,610 (high)
10.2 m3/h → 2,199,349 (spikes UP)
17.7 m3/h → 1,114,700 (dropping)
21.5 m3/h → 453,316 (valley — cheapest)
29.0 m3/h → 1,048,375 (rising again)
44.1 m3/h → 1,107,708 (high)
```
## Root Cause
The C5 curve has only **5 raw data points** per pressure level. The monotonic cubic spline (Fritsch-Carlson) creates a smooth curve through all 5 points, but with such sparse data it introduces non-convex regions that don't match the physical convexity of a real pump.
## Impact
- The equal-marginal-cost theorem (KKT conditions) does not apply — it requires convexity
- The BEP-Gravitation slope estimate at a single point can be misleading in non-convex regions
- The marginal-cost refinement loop fixes this by using actual power evaluations instead of slope assumptions
## Recommendation
Add more data points (15-20 per pressure level) to the C5 curve. This would make the spline track the real convex physics more closely, eliminating the non-convex artifacts.