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A hierarchical framework for holistic optimization of the operations of district cooling systems

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  • Chiam, Zhonglin
  • Easwaran, Arvind
  • Mouquet, David
  • Fazlollahi, Samira
  • Millás, Jaume V.

Abstract

The potential for greater energy efficiency gave rise to the popularity of implementing district cooling systems. In newer districts, however, the discrepancy between the designed capacity of the cooling system and actual cooling demand usually negates these benefits. In such scenarios, the optimization of the system’s operations with respect to cooling demand could considerably improve the energy efficiency of the system, without incurring additional capital costs.

Suggested Citation

  • Chiam, Zhonglin & Easwaran, Arvind & Mouquet, David & Fazlollahi, Samira & Millás, Jaume V., 2019. "A hierarchical framework for holistic optimization of the operations of district cooling systems," Applied Energy, Elsevier, vol. 239(C), pages 23-40.
    • Handle: RePEc:eee:appene:v:239:y:2019:i:c:p:23-40
    DOI: 10.1016/j.apenergy.2019.01.134
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    Cited by:

    1. Neri, Manfredi & Guelpa, Elisa & Verda, Vittorio, 2022. "Design and connection optimization of a district cooling network: Mixed integer programming and heuristic approach," Applied Energy, Elsevier, vol. 306(PA).
    2. Zabala, Laura & Febres, Jesus & Sterling, Raymond & López, Susana & Keane, Marcus, 2020. "Virtual testbed for model predictive control development in district cooling systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
    3. Guofu Luo & Tianxing Sun & Haoqi Wang & Hao Li & Jiaqi Wang & Zhuang Miao & Honglei Si & Fuliang Che & Gen Liu, 2023. "An Energy-Saving Regulation Framework of Central Air Conditioning Based on Cloud–Edge–Device Architecture," Sustainability, MDPI, vol. 15(3), pages 1-20, January.
    4. Jalil-Vega, Francisca & García Kerdan, Iván & Hawkes, Adam D., 2020. "Spatially-resolved urban energy systems model to study decarbonisation pathways for energy services in cities," Applied Energy, Elsevier, vol. 262(C).
    5. Chiam, Zhonglin & Papas, Ilias & Easwaran, Arvind & Alonso, Corinne & Estibals, Bruno, 2022. "Holistic optimization of the operation of a GCHP system: A case study on the ADREAM building in Toulouse, France," Applied Energy, Elsevier, vol. 321(C).
    6. Zhang, Wei & Hong, Wenpeng & Jin, Xu, 2022. "Research on performance and control strategy of multi-cold source district cooling system," Energy, Elsevier, vol. 239(PB).
    7. Alice Mugnini & Gianluca Coccia & Fabio Polonara & Alessia Arteconi, 2019. "Potential of District Cooling Systems: A Case Study on Recovering Cold Energy from Liquefied Natural Gas Vaporization," Energies, MDPI, vol. 12(15), pages 1-13, August.

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