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Optimization for ice-storage air-conditioning system using particle swarm algorithm

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  1. Ikeda, Shintaro & Ooka, Ryozo, 2015. "Metaheuristic optimization methods for a comprehensive operating schedule of battery, thermal energy storage, and heat source in a building energy system," Applied Energy, Elsevier, vol. 151(C), pages 192-205.
  2. Xie, Yingming & Li, Gang & Liu, Daoping & Liu, Ni & Qi, Yingxia & Liang, Deqing & Guo, Kaihua & Fan, Shuanshi, 2010. "Experimental study on a small scale of gas hydrate cold storage apparatus," Applied Energy, Elsevier, vol. 87(11), pages 3340-3346, November.
  3. Luerssen, Christoph & Gandhi, Oktoviano & Reindl, Thomas & Sekhar, Chandra & Cheong, David, 2019. "Levelised Cost of Storage (LCOS) for solar-PV-powered cooling in the tropics," Applied Energy, Elsevier, vol. 242(C), pages 640-654.
  4. Li, Xiwang & Wen, Jin & Bai, Er-Wei, 2016. "Developing a whole building cooling energy forecasting model for on-line operation optimization using proactive system identification," Applied Energy, Elsevier, vol. 164(C), pages 69-88.
  5. 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).
  6. Li, Xiao-Yan & Qu, Dong-Qi & Yang, Liu & Li, Kai-Di, 2017. "Experimental and numerical investigation of discharging process of direct contact thermal energy storage for use in conventional air-conditioning systems," Applied Energy, Elsevier, vol. 189(C), pages 211-220.
  7. Powell, Kody M. & Cole, Wesley J. & Ekarika, Udememfon F. & Edgar, Thomas F., 2013. "Optimal chiller loading in a district cooling system with thermal energy storage," Energy, Elsevier, vol. 50(C), pages 445-453.
  8. Jafari-Marandi, Ruholla & Hu, Mengqi & Omitaomu, OluFemi A., 2016. "A distributed decision framework for building clusters with different heterogeneity settings," Applied Energy, Elsevier, vol. 165(C), pages 393-404.
  9. Luo, Na & Hong, Tianzhen & Li, Hui & Jia, Ruoxi & Weng, Wenguo, 2017. "Data analytics and optimization of an ice-based energy storage system for commercial buildings," Applied Energy, Elsevier, vol. 204(C), pages 459-475.
  10. Luerssen, Christoph & Gandhi, Oktoviano & Reindl, Thomas & Sekhar, Chandra & Cheong, David, 2020. "Life cycle cost analysis (LCCA) of PV-powered cooling systems with thermal energy and battery storage for off-grid applications," Applied Energy, Elsevier, vol. 273(C).
  11. Yu, F.W. & Chan, K.T., 2010. "Simulation and electricity savings estimation of air-cooled centrifugal chiller system with mist pre-cooling," Applied Energy, Elsevier, vol. 87(4), pages 1198-1206, April.
  12. Parameshwaran, R. & Kalaiselvam, S. & Harikrishnan, S. & Elayaperumal, A., 2012. "Sustainable thermal energy storage technologies for buildings: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2394-2433.
  13. Hu, Mengqi, 2015. "A data-driven feed-forward decision framework for building clusters operation under uncertainty," Applied Energy, Elsevier, vol. 141(C), pages 229-237.
  14. Shuai Hao & Wenjie Zhou & Junliang Lu & Jiajun Wang, 2021. "The Optimal Pumping Power under Different Ice Slurry Concentrations Using Evolutionary Strategy Algorithms," Energies, MDPI, vol. 14(20), pages 1-16, October.
  15. Amirhossein Eshraghi & Gholamreza Salehi & Seyedmohammadreza Heibati & Kamran Lari, 2019. "Developing operation of combined cooling, heat, and power system based on energy hub in a micro-energy grid: The application of energy storages," Energy & Environment, , vol. 30(8), pages 1356-1379, December.
  16. Chang, Yung-Chung & Chan, Tien-Shun & Lee, Wen-Shing, 2010. "Economic dispatch of chiller plant by gradient method for saving energy," Applied Energy, Elsevier, vol. 87(4), pages 1096-1101, April.
  17. Heidari, A. & Mortazavi, S.S. & Bansal, R.C., 2020. "Stochastic effects of ice storage on improvement of an energy hub optimal operation including demand response and renewable energies," Applied Energy, Elsevier, vol. 261(C).
  18. Wang, Zhe & Hong, Tianzhen & Piette, Mary Ann, 2019. "Predicting plug loads with occupant count data through a deep learning approach," Energy, Elsevier, vol. 181(C), pages 29-42.
  19. Cox, Sam J. & Kim, Dongsu & Cho, Heejin & Mago, Pedro, 2019. "Real time optimal control of district cooling system with thermal energy storage using neural networks," Applied Energy, Elsevier, vol. 238(C), pages 466-480.
  20. Said, M.A. & Hassan, Hamdy, 2018. "Parametric study on the effect of using cold thermal storage energy of phase change material on the performance of air-conditioning unit," Applied Energy, Elsevier, vol. 230(C), pages 1380-1402.
  21. Whei-Min Lin & Chia-Sheng Tu & Ming-Tang Tsai & Chi-Chun Lo, 2015. "Optimal Energy Reduction Schedules for Ice Storage Air-Conditioning Systems," Energies, MDPI, vol. 8(9), pages 1-18, September.
  22. Kyriakarakos, George & Dounis, Anastasios I. & Rozakis, Stelios & Arvanitis, Konstantinos G. & Papadakis, George, 2011. "Polygeneration microgrids: A viable solution in remote areas for supplying power, potable water and hydrogen as transportation fuel," Applied Energy, Elsevier, vol. 88(12), pages 4517-4526.
  23. Daishi Sagawa & Kenji Tanaka, 2023. "Machine Learning-Based Estimation of COP and Multi-Objective Optimization of Operation Strategy for Heat Source Considering Electricity Cost and On-Site Consumption of Renewable Energy," Energies, MDPI, vol. 16(13), pages 1-26, June.
  24. Cui, Borui & Wang, Shengwei & Sun, Yongjun, 2014. "Life-cycle cost benefit analysis and optimal design of small scale active storage system for building demand limiting," Energy, Elsevier, vol. 73(C), pages 787-800.
  25. Cui, Borui & Gao, Dian-ce & Xiao, Fu & Wang, Shengwei, 2017. "Model-based optimal design of active cool thermal energy storage for maximal life-cycle cost saving from demand management in commercial buildings," Applied Energy, Elsevier, vol. 201(C), pages 382-396.
  26. Hu, Mengqi & Weir, Jeffery D. & Wu, Teresa, 2012. "Decentralized operation strategies for an integrated building energy system using a memetic algorithm," European Journal of Operational Research, Elsevier, vol. 217(1), pages 185-197.
  27. Wooyoung Jeon, Jung Youn Mo, and Timothy D. Mount, 2015. "Developing a Smart Grid that Customers can Afford: The Impact of Deferrable Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
  28. Cao, Hui & Lin, Jiajing & Li, Nan, 2023. "Optimal control and energy efficiency evaluation of district ice storage system," Energy, Elsevier, vol. 276(C).
  29. Pu, Jing & Liu, Guilian & Feng, Xiao, 2012. "Cumulative exergy analysis of ice thermal storage air conditioning system," Applied Energy, Elsevier, vol. 93(C), pages 564-569.
  30. Chi-Chun Lo & Shang-Ho Tsai & Bor-Shyh Lin, 2016. "Ice Storage Air-Conditioning System Simulation with Dynamic Electricity Pricing: A Demand Response Study," Energies, MDPI, vol. 9(2), pages 1-16, February.
  31. Naranjo Palacio, Santiago & Valentine, Keenan F. & Wong, Myra & Zhang, K. Max, 2014. "Reducing power system costs with thermal energy storage," Applied Energy, Elsevier, vol. 129(C), pages 228-237.
  32. Xuan Vien Nguyen, 2021. "Fabrication and Performance Evaluation of Cold Thermal Energy Storage Tanks Operating in Water Chiller Air Conditioning System," Energies, MDPI, vol. 14(14), pages 1-16, July.
  33. Niknam, Taher & Firouzi, Bahman Bahmani & Ostadi, Amir, 2010. "A new fuzzy adaptive particle swarm optimization for daily Volt/Var control in distribution networks considering distributed generators," Applied Energy, Elsevier, vol. 87(6), pages 1919-1928, June.
  34. Liu, Zichu & Quan, Zhenhua & Zhang, Nan & Wang, Yubo & Yang, Mingguang & Zhao, Yaohua, 2023. "Energy and exergy analysis of a novel direct-expansion ice thermal storage system based on three-fluid heat exchanger module," Applied Energy, Elsevier, vol. 330(PB).
  35. Ebrahimi, Mahyar, 2020. "Storing electricity as thermal energy at community level for demand side management," Energy, Elsevier, vol. 193(C).
  36. Dai, Rui & Hu, Mengqi & Yang, Dong & Chen, Yang, 2015. "A collaborative operation decision model for distributed building clusters," Energy, Elsevier, vol. 84(C), pages 759-773.
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