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Parametric study on the advantages of weather-predicted control algorithm of free cooling ventilation system

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  • Medved, Sašo
  • Babnik, Miha
  • Vidrih, Boris
  • Arkar, Ciril

Abstract

Predicted climate changes and the increased intensity of urban heat islands, as well as population aging, will increase the energy demand for the cooling of buildings in the future. However, the energy demand for cooling can be efficiently reduced by low-exergy free-cooling systems, which use natural processes, like evaporative cooling or the environmental cold of ambient air during night-time ventilation for the cooling of buildings. Unlike mechanical cooling systems, the energy for the operation of free-cooling system is needed only for the transport of the cold from the environment into the building. Because the natural cold potential is time dependent, the efficiency of free-cooling systems could be improved by introducing a weather forecast into the algorithm for the controlling. In the article, a numerical algorithm for the optimization of the operation of free-cooling systems with night-time ventilation is presented and validated on a test cell with different thermal storage capacities and during different ambient conditions. As a case study, the advantage of weather-predicted controlling is presented for a summer week for typical office room. The results show the necessity of the weather-predicted controlling of free-cooling ventilation systems for achieving the highest overall energy efficiency of such systems in comparison to mechanical cooling, better indoor comfort conditions and a decrease in the primary energy needed for cooling of the buildings.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:73:y:2014:i:c:p:80-87
    DOI: 10.1016/j.energy.2014.05.080
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    1. 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.
    2. Alizadeh, M. & Sadrameli, S.M., 2016. "Development of free cooling based ventilation technology for buildings: Thermal energy storage (TES) unit, performance enhancement techniques and design considerations – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 619-645.
    3. Liu, Jiang & Liu, Yan & Yang, Liu & Liu, Tang & Zhang, Chen & Dong, Hong, 2020. "Climatic and seasonal suitability of phase change materials coupled with night ventilation for office buildings in Western China," Renewable Energy, Elsevier, vol. 147(P1), pages 356-373.
    4. Yang, Dong & Li, Ping, 2015. "Dimensionless design approach, applicability and energy performance of stack-based hybrid ventilation for multi-story buildings," Energy, Elsevier, vol. 93(P1), pages 128-140.
    5. Suárez de la Fuente, Santiago & Larsen, Ulrik & Pawling, Rachel & García Kerdan, Iván & Greig, Alistair & Bucknall, Richard, 2018. "Using the forward movement of a container ship navigating in the Arctic to air-cool a marine organic Rankine cycle unit," Energy, Elsevier, vol. 159(C), pages 1046-1059.
    6. Tejero-González, Ana & Andrés-Chicote, Manuel & García-Ibáñez, Paola & Velasco-Gómez, Eloy & Rey-Martínez, Francisco Javier, 2016. "Assessing the applicability of passive cooling and heating techniques through climate factors: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 727-742.

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