IDEAS home Printed from https://ideas.repec.org/r/eee/appene/v111y2013icp1032-1045.html
   My bibliography  Save this item

Model-based predictive control of an ice storage device in a building cooling system

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. 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).
  2. Yang Yuan & Neng Zhu & Haizhu Zhou & Hai Wang, 2021. "A New Model Predictive Control Method for Eliminating Hydraulic Oscillation and Dynamic Hydraulic Imbalance in a Complex Chilled Water System," Energies, MDPI, vol. 14(12), pages 1-23, June.
  3. Le Cam, M. & Daoud, A. & Zmeureanu, R., 2016. "Forecasting electric demand of supply fan using data mining techniques," Energy, Elsevier, vol. 101(C), pages 541-557.
  4. 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.
  5. 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.
  6. Wei, Shuangyu & Tien, Paige Wenbin & Calautit, John Kaiser & Wu, Yupeng & Boukhanouf, Rabah, 2020. "Vision-based detection and prediction of equipment heat gains in commercial office buildings using a deep learning method," Applied Energy, Elsevier, vol. 277(C).
  7. Vidrih, Boris & Arkar, Ciril & Medved, Sašo, 2016. "Generalized model-based predictive weather control for the control of free cooling by enhanced night-time ventilation," Applied Energy, Elsevier, vol. 168(C), pages 482-492.
  8. Xiaoyu Xu & Chun Chang & Xinxin Guo & Mingzhi Zhao, 2023. "Experimental and Numerical Study of the Ice Storage Process and Material Properties of Ice Storage Coils," Energies, MDPI, vol. 16(14), pages 1-18, July.
  9. Lazos, Dimitris & Sproul, Alistair B. & Kay, Merlinde, 2014. "Optimisation of energy management in commercial buildings with weather forecasting inputs: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 587-603.
  10. Gert van Wyk & Vinessa Naidoo & E. Innocents Edoun, 2021. "Guiding Principles for Establishing Energy Consumption Reduction and Increase Production Performance in Manufacturing," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 502-515.
  11. Cao, Hui & Lin, Jiajing & Li, Nan, 2023. "Optimal control and energy efficiency evaluation of district ice storage system," Energy, Elsevier, vol. 276(C).
  12. Saloux, E. & Candanedo, J.A., 2019. "Modelling stratified thermal energy storage tanks using an advanced flowrate distribution of the received flow," Applied Energy, Elsevier, vol. 241(C), pages 34-45.
  13. She, Xiaohui & Cong, Lin & Nie, Binjian & Leng, Guanghui & Peng, Hao & Chen, Yi & Zhang, Xiaosong & Wen, Tao & Yang, Hongxing & Luo, Yimo, 2018. "Energy-efficient and -economic technologies for air conditioning with vapor compression refrigeration: A comprehensive review," Applied Energy, Elsevier, vol. 232(C), pages 157-186.
  14. 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.
  15. Drgoňa, Ján & Picard, Damien & Kvasnica, Michal & Helsen, Lieve, 2018. "Approximate model predictive building control via machine learning," Applied Energy, Elsevier, vol. 218(C), pages 199-216.
  16. Tarragona, Joan & Pisello, Anna Laura & Fernández, Cèsar & de Gracia, Alvaro & Cabeza, Luisa F., 2021. "Systematic review on model predictive control strategies applied to active thermal energy storage systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
  17. Wang, Chengshan & Jiao, Bingqi & Guo, Li & Tian, Zhe & Niu, Jide & Li, Siwei, 2016. "Robust scheduling of building energy system under uncertainty," Applied Energy, Elsevier, vol. 167(C), pages 366-376.
  18. Ruddell, Benjamin L. & Salamanca, Francisco & Mahalov, Alex, 2014. "Reducing a semiarid city’s peak electrical demand using distributed cold thermal energy storage," Applied Energy, Elsevier, vol. 134(C), pages 35-44.
  19. Medved, Sašo & Babnik, Miha & Vidrih, Boris & Arkar, Ciril, 2014. "Parametric study on the advantages of weather-predicted control algorithm of free cooling ventilation system," Energy, Elsevier, vol. 73(C), pages 80-87.
  20. Fu, Yangyang & Xu, Shichao & Zhu, Qi & O’Neill, Zheng & Adetola, Veronica, 2023. "How good are learning-based control v.s. model-based control for load shifting? Investigations on a single zone building energy system," Energy, Elsevier, vol. 273(C).
  21. Laird, Cary & Kang, Ziliang & James, Kai A. & Alleyne, Andrew G., 2022. "Framework for integrated plant and control optimization of electro-thermal systems: An energy storage system case study," Energy, Elsevier, vol. 258(C).
  22. Barzin, Reza & Chen, John J.J. & Young, Brent R. & Farid, Mohammed M, 2016. "Application of weather forecast in conjunction with price-based method for PCM solar passive buildings – An experimental study," Applied Energy, Elsevier, vol. 163(C), pages 9-18.
  23. James Allen & Ari Halberstadt & John Powers & Nael H. El-Farra, 2020. "An Optimization-Based Supervisory Control and Coordination Approach for Solar-Load Balancing in Building Energy Management," Mathematics, MDPI, vol. 8(8), pages 1-28, July.
  24. 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.
  25. Tarragona, Joan & Fernández, Cèsar & de Gracia, Alvaro, 2020. "Model predictive control applied to a heating system with PV panels and thermal energy storage," Energy, Elsevier, vol. 197(C).
  26. Buttitta, Giuseppina & Jones, Colin N. & Finn, Donal P., 2021. "Evaluation of advanced control strategies of electric thermal storage systems in residential building stock," Utilities Policy, Elsevier, vol. 69(C).
  27. Wang, Yi-Fei & Chen, Qun, 2015. "A direct optimal control strategy of variable speed pumps in heat exchanger networks and experimental validations," Energy, Elsevier, vol. 85(C), pages 609-619.
  28. 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.
  29. 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.
  30. Xia, Lei & Ma, Zhenjun & Kokogiannakis, Georgios & Wang, Shugang & Gong, Xuemei, 2018. "A model-based optimal control strategy for ground source heat pump systems with integrated solar photovoltaic thermal collectors," Applied Energy, Elsevier, vol. 228(C), pages 1399-1412.
  31. Wang, Yijun & Jin, Xinqiao & Shi, Wantao & Wang, Jiangqing, 2019. "Online chiller loading strategy based on the near-optimal performance map for energy conservation," Applied Energy, Elsevier, vol. 238(C), pages 1444-1451.
  32. Li, Xiwang & Wen, Jin & Malkawi, Ali, 2016. "An operation optimization and decision framework for a building cluster with distributed energy systems," Applied Energy, Elsevier, vol. 178(C), pages 98-109.
  33. Gruber, J.K. & Huerta, F. & Matatagui, P. & Prodanović, M., 2015. "Advanced building energy management based on a two-stage receding horizon optimization," Applied Energy, Elsevier, vol. 160(C), pages 194-205.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.