A hierarchical framework for holistic optimization of the operations of district cooling systems
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DOI: 10.1016/j.apenergy.2019.01.134
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Cited by:
- 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).
- 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).
- 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).
- 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.
- 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).
- 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.
- 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).
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Keywords
District cooling systems; Operation; Hierarchical; Optimization; Mixed integer linear program; Genetic algorithm;All these keywords.
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