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

• Published in: Energy (Oxford) 2014-08, Vol.73, p.80-87
• Main Authors: Medved, Sašo, Babnik, Miha, Vidrih, Boris, Arkar, Ciril
• Format: Article
• Language: English
• Subjects: Algorithms; Applied sciences; Buildings; Control systems; Cooling systems; Demand; Energy; Energy management; Evaporative cooling; Exact sciences and technology; Experimental validation of numerical model; Free cooling; Numerical modelling; Thermal response of the buildings; Ventilation; Weather forecast
• ISSN: 0360-5442
• DOI: 10.1016/j.energy.2014.05.080

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. •Energy demand for cooling will increase due to climate changes and urban heat island•Free cooling could significantly reduce energy demand for cooling of the buildings.•Free cooling is more effective if weather prediction is included in operation control.•Weather predicted free cooling operation algorithm was validated on test cell.•Advantages of free-cooling on mechanical cooling is shown with different indicators.