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Weather-predicted control of building free cooling system

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  • Dovrtel, Klemen
  • Medved, Sašo

Abstract

In this paper, the optimization of a weather-predicted free cooling system combined with heat storage is shown. The method of incorporating weather forecasts into the control system is presented. The regime of operation was selected and optimized based on free cooling energy and the required temperature parameters of a building’s indoor environment, using variable flow rate control through the heat storage. The savings achieved by optimal operation compared to steady state operation were analyzed. The parametric analysis of optimal system operation was done for different outdoor and indoor environment parameters and for different heat storage construction parameters. The results showed a significant influence of system operation control on system performance.

Suggested Citation

  • Dovrtel, Klemen & Medved, Sašo, 2011. "Weather-predicted control of building free cooling system," Applied Energy, Elsevier, vol. 88(9), pages 3088-3096.
  • Handle: RePEc:eee:appene:v:88:y:2011:i:9:p:3088-3096
    DOI: 10.1016/j.apenergy.2011.03.010
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    References listed on IDEAS

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    1. Kolokotroni, M. & Aronis, A., 1999. "Cooling-energy reduction in air-conditioned offices by using night ventilation," Applied Energy, Elsevier, vol. 63(4), pages 241-253, August.
    2. Gwerder, M. & Lehmann, B. & Tödtli, J. & Dorer, V. & Renggli, F., 2008. "Control of thermally-activated building systems (TABS)," Applied Energy, Elsevier, vol. 85(7), pages 565-581, July.
    3. Shaviv, Edna & Yezioro, Abraham & Capeluto, Isaac G, 2001. "Thermal mass and night ventilation as passive cooling design strategy," Renewable Energy, Elsevier, vol. 24(3), pages 445-452.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    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. Candanedo, J.A. & Dehkordi, V.R. & Stylianou, M., 2013. "Model-based predictive control of an ice storage device in a building cooling system," Applied Energy, Elsevier, vol. 111(C), pages 1032-1045.
    4. Waqas, Adeel & Ud Din, Zia, 2013. "Phase change material (PCM) storage for free cooling of buildings—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 607-625.
    5. Xu, Xinhua & Yu, Jinghua & Wang, Shengwei & Wang, Jinbo, 2014. "Research and application of active hollow core slabs in building systems for utilizing low energy sources," Applied Energy, Elsevier, vol. 116(C), pages 424-435.
    6. 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.
    7. Lim, Jae-Han & Song, Jin-Hee & Song, Seung-Yeong, 2014. "Development of operational guidelines for thermally activated building system according to heating and cooling load characteristics," Applied Energy, Elsevier, vol. 126(C), pages 123-135.
    8. 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.
    9. Dai, Jun & Das, Diganta & Pecht, Michael, 2012. "Prognostics-based risk mitigation for telecom equipment under free air cooling conditions," Applied Energy, Elsevier, vol. 99(C), pages 423-429.
    10. Dai, Jun & Das, Diganta & Ohadi, Michael & Pecht, Michael, 2013. "Reliability risk mitigation of free air cooling through prognostics and health management," Applied Energy, Elsevier, vol. 111(C), pages 104-112.
    11. 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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