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Robust enhancement of chiller sequencing control for tolerating sensor measurement uncertainties through controlling small-scale thermal energy storage

  • Wenke Zou
  • , Yongjun Sun
  • , Dian-ce Gao*
  • , Zhitao Cui
  • , Zhiqiang You
  • , Xiaowen Ma
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Reliable chiller sequencing control strategy is crucial to enhancing control robustness and energy efficiency of the multiple-chiller systems. However, the commonly used conventional chiller sequencing control strategy, which determines the chiller stage by comparing the measurement instantaneous cooling load with the chiller's cooling capacity, often deviate significantly from its desired results due to the presence of measurement uncertainties. Different from the existing solutions focusing on improving the accuracy of measured cooling load using complicated models fed with large amounts of measurement information, this study presents a novel solution from a new perspective, tolerating rather than dealing with measurement uncertainties directly through introducing and controlling a small-scale thermal energy storage integrated with the chiller plant. Two schemes, namely robustness-enhancement scheme and chiller operating efficiency enhancement scheme, were developed and collaboratively utilized to achieve two objectives simultaneously: enhancing the robustness of the sequencing control and improving the operating efficiency of chillers even under measurement uncertainties. The results of case studies demonstrate that, compared with the conventional strategy, the proposed strategy can reduce the switching frequency by up to 77.42% as well as save the total energy use of chilled water systems by up to 4.44% without sacrificing indoor thermal comfort. © 2023 Elsevier Ltd.
Original languageEnglish
Article number128152
JournalEnergy
Volume280
Online published19 Jun 2023
DOIs
Publication statusPublished - 1 Oct 2023

Funding

The research work presented in this paper is supported by a grant of the National Natural Science Foundation of China (No. 52278133 and No. 52178091), and a grant of the Natural Science Foundation of Guangdong Province (No. 2021A1515012265).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Research Keywords

  • Chiller sequencing control
  • Control robustness
  • Energy efficiency
  • Thermal energy storage

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