pith:MYQD7ECU
Optimizing Chilled Water Systems with Cooling Towers via Virtual Power Metrics and Extremum-Seeking Control
An extremum-seeking controller for cooling tower fans minimizes total chilled water plant power with virtual power meters.
arxiv:2605.15431 v1 · 2026-05-14 · eess.SY · cs.SY
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Claims
Simulation studies across different climate locations demonstrate energy savings of approximately 15% compared to conventional control during summer conditions. Validation tests for the VPMs against physical meters showed good accuracy with a correlation of 96.11% and a normalized error of 5.11%.
The extremum-seeking controller can locate and track the true minimum of total plant power by varying only cooling-tower fan speed while all other system components and loads remain unchanged or are correctly captured by the simulation model (implicit in the ESC convergence analysis and the summer-condition simulation setup).
Extremum-seeking control for cooling tower fans plus virtual power meters achieves ~15% simulated energy savings in chilled water plants while maintaining 96% correlation to physical meters.
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| First computed | 2026-05-20T00:00:58.323229Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
66203f9054999ed8ff5ff1d4f9739e3aec027c8dcd8d0e6648689d40695c152f
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/MYQD7ECUTGPNR7276HKPS446HL \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 66203f9054999ed8ff5ff1d4f9739e3aec027c8dcd8d0e6648689d40695c152f
Canonical record JSON
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