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Main Authors: Guo, Zhong, Barooah, Prabir
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2508.15649
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author Guo, Zhong
Barooah, Prabir
author_facet Guo, Zhong
Barooah, Prabir
contents We describe a framework of modeling a central chilled water plant (CCWP) that consists of an aggregate cooling coil, a number of heterogeneous chillers and cooling towers, and a chilled water-based thermal energy storage system. We improve upon existing component models from the open literature using a constrained optimization-based framework to ensure that the models respect capacities of all the heat exchangers (cooling coils, chillers, and cooling towers) irrespective of the inputs provided. As a result, the proposed model has a wider range of validity compared to existing models; the latter can produce highly erroneous outputs when inputs are not within normal operating range. This feature is essential for training learning-based controllers that can choose inputs beyond normal operating conditions and is lacking in currently available models. The overall plant model is implemented in Matlab and is made publicly available. Simulation of a CCWP with closed loop control is provided as an illustration.
format Preprint
id arxiv_https___arxiv_org_abs_2508_15649
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Central Chilled Water Plant Model for Designing Learning-Based Controllers
Guo, Zhong
Barooah, Prabir
Systems and Control
We describe a framework of modeling a central chilled water plant (CCWP) that consists of an aggregate cooling coil, a number of heterogeneous chillers and cooling towers, and a chilled water-based thermal energy storage system. We improve upon existing component models from the open literature using a constrained optimization-based framework to ensure that the models respect capacities of all the heat exchangers (cooling coils, chillers, and cooling towers) irrespective of the inputs provided. As a result, the proposed model has a wider range of validity compared to existing models; the latter can produce highly erroneous outputs when inputs are not within normal operating range. This feature is essential for training learning-based controllers that can choose inputs beyond normal operating conditions and is lacking in currently available models. The overall plant model is implemented in Matlab and is made publicly available. Simulation of a CCWP with closed loop control is provided as an illustration.
title A Central Chilled Water Plant Model for Designing Learning-Based Controllers
topic Systems and Control
url https://arxiv.org/abs/2508.15649