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Energy reduction for a dual circuit cooling water system using advanced regulatory control

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  • Muller, C.J.
  • Craig, I.K.

Abstract

Various process utilities are used in the petrochemical industry as auxiliary variables to facilitate the addition/removal of energy to/from the process, power process equipment and inhibit unwanted reaction. Optimisation activities usually focus on the process itself or on the utility consumption though the generation and distribution of these utilities are often overlooked in this regard. Many utilities are prepared or generated far from the process plant and have to be transported or transmitted, giving rise to more losses and potential inefficiencies. To illustrate the potential benefit of utility optimisation, this paper explores the control of a dual circuit cooling water system with focus on energy reduction subject process constraints. This is accomplished through the development of an advanced regulatory control (ARC) and switching strategy which does not require the development of a system model, only rudimentary knowledge of the behaviour of the process and system constraints. The novelty of this manuscript lies in the fact that it demonstrates that significant energy savings can be obtained by applying ARC to a process utility containing both discrete and continuous dynamics. Furthermore, the proposed ARC strategy does not require a plant model, uses only existing plant equipment, and can be implemented on control system hardware commonly used in industry. The simulation results indicate energy saving potential in the region of 30% on the system under investigation.

Suggested Citation

  • Muller, C.J. & Craig, I.K., 2016. "Energy reduction for a dual circuit cooling water system using advanced regulatory control," Applied Energy, Elsevier, vol. 171(C), pages 287-295.
    • Handle: RePEc:eee:appene:v:171:y:2016:i:c:p:287-295
    DOI: 10.1016/j.apenergy.2016.03.069
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    References listed on IDEAS

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    Cited by:

    1. Ma, Keyan & Liu, Mingsheng & Zhang, Jili, 2021. "Online optimization method of cooling water system based on the heat transfer model for cooling tower," Energy, Elsevier, vol. 231(C).
    2. Ênio L. Junior & Moisés T. da Silva & Thiago A. M. Euzébio, 2022. "Avoiding Buffer Tank Overflow in an Iron Ore Dewatering System with Integrated Control System," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    3. Ma, Jiaze & Wang, Yufei & Feng, Xiao, 2018. "Optimization of multi-plants cooling water system," Energy, Elsevier, vol. 150(C), pages 797-815.
    4. Shi, Shaofei & Wang, Yufei & Wang, Youlei & Feng, Xiao, 2022. "A new optimization method for cooling systems considering low-temperature waste heat utilization in a polysilicon industry," Energy, Elsevier, vol. 238(PA).

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