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Data analytics and optimization of an ice-based energy storage system for commercial buildings

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  1. Nelson, James & Johnson, Nathan G. & Chinimilli, Prudhvi Tej & Zhang, Wenlong, 2019. "Residential cooling using separated and coupled precooling and thermal energy storage strategies," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
  2. Wang, Zhe & Hong, Tianzhen & Piette, Mary Ann, 2020. "Building thermal load prediction through shallow machine learning and deep learning," Applied Energy, Elsevier, vol. 263(C).
  3. Jia, Lizhi & Liu, Junjie & Chong, Adrian & Dai, Xilei, 2022. "Deep learning and physics-based modeling for the optimization of ice-based thermal energy systems in cooling plants," Applied Energy, Elsevier, vol. 322(C).
  4. He, Zhaoyu & Guo, Weimin & Zhang, Peng, 2022. "Performance prediction, optimal design and operational control of thermal energy storage using artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
  5. Zou, Wenke & Sun, Yongjun & Gao, Dian-ce & Zhang, Xu, 2023. "Globally optimal control of hybrid chilled water plants integrated with small-scale thermal energy storage for energy-efficient operation," Energy, Elsevier, vol. 262(PA).
  6. Shan, Kui & Fan, Cheng & Wang, Jiayuan, 2019. "Model predictive control for thermal energy storage assisted large central cooling systems," Energy, Elsevier, vol. 179(C), pages 916-927.
  7. Zhang, Yafei & Liu, Zedong & Chen, Hua & Li, Guangkang & Zhang, Jiaming, 2024. "Experimental study on the influence of gas-blowing flow rate on the cold discharge characteristics of external ice-melting ice storage system," Renewable Energy, Elsevier, vol. 230(C).
  8. Dhumane, Rohit & Ling, Jiazhen & Aute, Vikrant & Radermacher, Reinhard, 2017. "Portable personal conditioning systems: Transient modeling and system analysis," Applied Energy, Elsevier, vol. 208(C), pages 390-401.
  9. Cao, Hui & Lin, Jiajing & Li, Nan, 2023. "Optimal control and energy efficiency evaluation of district ice storage system," Energy, Elsevier, vol. 276(C).
  10. Pan, Chunjian & Vermaak, Natasha & Romero, Carlos & Neti, Sudhakar & Hoenig, Sean & Chen, Chien-Hua & Bonner, Richard, 2018. "Cost estimation and sensitivity analysis of a latent thermal energy storage system for supplementary cooling of air cooled condensers," Applied Energy, Elsevier, vol. 224(C), pages 52-68.
  11. Wan, Hang & Gong, Yuyang & Dang, Chuangyin & Wang, Shengwei & Huang, Gongsheng, 2025. "Power control of latent heat thermal energy storage units using a model-based predictive strategy," Applied Energy, Elsevier, vol. 382(C).
  12. Wang, Zhe & Hong, Tianzhen & Piette, Mary Ann, 2019. "Data fusion in predicting internal heat gains for office buildings through a deep learning approach," Applied Energy, Elsevier, vol. 240(C), pages 386-398.
  13. Xu, Xiao & Hu, Weihao & Liu, Wen & Du, Yuefang & Huang, Rui & Huang, Qi & Chen, Zhe, 2021. "Look-ahead risk-constrained scheduling for an energy hub integrated with renewable energy," Applied Energy, Elsevier, vol. 297(C).
  14. Xiao Yang & Qiyang Wang & Yang Liu & Dongmei Yang & Yixu Wang & Haiyan Qin & Zedong Liu & Hua Chen, 2022. "Flow Characteristics and Heat-Transfer Enhancement of Air Agitation in Ice Storage Air Conditioning Systems," Energies, MDPI, vol. 15(16), pages 1-16, August.
  15. Zhu, Kai & Li, Xueqiang & Campana, Pietro Elia & Li, Hailong & Yan, Jinyue, 2018. "Techno-economic feasibility of integrating energy storage systems in refrigerated warehouses," Applied Energy, Elsevier, vol. 216(C), pages 348-357.
  16. 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).
  17. Athanasios Anagnostis & Serafeim Moustakidis & Elpiniki Papageorgiou & Dionysis Bochtis, 2022. "A Hybrid Bimodal LSTM Architecture for Cascading Thermal Energy Storage Modelling," Energies, MDPI, vol. 15(6), pages 1-24, March.
  18. Li, Tailu & Yu, Haifang & Qi, Jing & Yuan, Ye, 2024. "Thermodynamic performance of air-cooled seasonal cold energy storage for space cooling: A case study," Renewable Energy, Elsevier, vol. 235(C).
  19. Kamal, Rajeev & Moloney, Francesca & Wickramaratne, Chatura & Narasimhan, Arunkumar & Goswami, D.Y., 2019. "Strategic control and cost optimization of thermal energy storage in buildings using EnergyPlus," Applied Energy, Elsevier, vol. 246(C), pages 77-90.
  20. Ding, Yan & Wang, Qiaochu & Kong, Xiangfei & Yang, Kun, 2019. "Multi-objective optimisation approach for campus energy plant operation based on building heating load scenarios," Applied Energy, Elsevier, vol. 250(C), pages 1600-1617.
  21. Yuness Badiei & Josue Campos do Prado, 2023. "Analyzing the Impact of Electricity Rates on the Feasibility of Solar PV and Energy Storage Systems in Commercial Buildings: Financial vs. Resilience Perspective," Energies, MDPI, vol. 16(5), pages 1-15, March.
  22. Hao, Ling & Wei, Mingshan & Xu, Fei & Yang, Xiaochen & Meng, Jia & Song, Panpan & Min, Yong, 2020. "Study of operation strategies for integrating ice-storage district cooling systems into power dispatch for large-scale hydropower utilization," Applied Energy, Elsevier, vol. 261(C).
  23. Fanghan Su & Zhiyuan Wang & Yue Yuan & Chengcheng Song & Kejun Zeng & Yixing Chen & Rongpeng Zhang, 2023. "Enhanced Operation of Ice Storage System for Peak Load Management in Shopping Malls across Diverse Climate Zones," Sustainability, MDPI, vol. 15(20), pages 1-23, October.
  24. Sun, Fangtian & Li, Junlong & Fu, Lin & Li, Yonghong & Wang, Ruixiang & Zhang, Shigang, 2020. "New configurations of district heating and cooling system based on absorption and compression chillers driven by waste heat of flue gas from coke ovens," Energy, Elsevier, vol. 193(C).
  25. Morimoto, Takashi & Asaoka, Tatsunori & Kumano, Hiroyuki, 2023. "Heat storage characteristics of multi-component sugar alcohol slurries," Energy, Elsevier, vol. 272(C).
  26. Wunvisa Tipasri & Amnart Suksri & Karthikeyan Velmurugan & Tanakorn Wongwuttanasatian, 2022. "Energy Management for an Air Conditioning System Using a Storage Device to Reduce the On-Peak Power Consumption," Energies, MDPI, vol. 15(23), pages 1-19, November.
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