Optimizing Chilled Water Systems with Cooling Towers via Virtual Power Metrics and Extremum-Seeking Control

Fuente: arXiv
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Autores principales: Yu, Min Gyung, Vlachokostas, Alex, Devaprasad, Karthik, Cornachione, Matt, Johnson, Stephanie, Yoder, Tim A., Salsbury, Timothy I.
Formato: Preprint
Publicado: 2026
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author Yu, Min Gyung
Vlachokostas, Alex
Devaprasad, Karthik
Cornachione, Matt
Johnson, Stephanie
Yoder, Tim A.
Salsbury, Timothy I.
author_facet Yu, Min Gyung
Vlachokostas, Alex
Devaprasad, Karthik
Cornachione, Matt
Johnson, Stephanie
Yoder, Tim A.
Salsbury, Timothy I.
contents This paper presents an extremum seeking control (ESC) method for cooling tower fans to minimize overall power consumption of a chilled water plant system. Simulation studies across different climate locations demonstrate energy savings of approximately 15% compared to conventional control during summer conditions. This paper also proposes a virtual power meter (VPM) to enable use of the strategy in systems that lack physical power meters. Validation tests for the VPMs against physical meters showed good accuracy with a correlation of 96.11% and a normalized error of 5.11%. Coupled with the VPM, the proposed ESC control solution can be implemented on systems using typically available sensor measurements without the need for additional instrumentation.
format Preprint
id arxiv_https___arxiv_org_abs_2605_15431
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Optimizing Chilled Water Systems with Cooling Towers via Virtual Power Metrics and Extremum-Seeking Control
Yu, Min Gyung
Vlachokostas, Alex
Devaprasad, Karthik
Cornachione, Matt
Johnson, Stephanie
Yoder, Tim A.
Salsbury, Timothy I.
Systems and Control
This paper presents an extremum seeking control (ESC) method for cooling tower fans to minimize overall power consumption of a chilled water plant system. Simulation studies across different climate locations demonstrate energy savings of approximately 15% compared to conventional control during summer conditions. This paper also proposes a virtual power meter (VPM) to enable use of the strategy in systems that lack physical power meters. Validation tests for the VPMs against physical meters showed good accuracy with a correlation of 96.11% and a normalized error of 5.11%. Coupled with the VPM, the proposed ESC control solution can be implemented on systems using typically available sensor measurements without the need for additional instrumentation.
title Optimizing Chilled Water Systems with Cooling Towers via Virtual Power Metrics and Extremum-Seeking Control
topic Systems and Control
url https://arxiv.org/abs/2605.15431