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Optimization of deterministic controls for a cooling radiant wall coupled to a PV array

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  • Romaní, Joaquim
  • Belusko, Martin
  • Alemu, Alemu
  • Cabeza, Luisa F.
  • de Gracia, Alvaro
  • Bruno, Frank

Abstract

Thermally activated building systems (TABS) can work as thermal energy storage (TES) systems, which are useful in shifting the energy use of space cooling and heating in buildings. The present study analyses and optimizes simple deterministic control concepts for radiant wall supplied by a heat pump for cooling purposes. First, the “solar” concept was studied, which was focused on exploiting the output of a photovoltaic (PV) array. Secondly, a “peak load shifting” concept exploiting the low electricity cost and high heat pump energy efficiency during night periods was evaluated. The results showed that the “solar” concept saved between 57% and 95% in comparison to a conventional control in different PV installed capacities. Moreover, the optimized “peak load shifting” concept had lower operation cost than the conventional control with most of the PV configurations proposed. Therefore, the study showed that the investment in the PV array was fully harnessed only with specific controls. Furthermore, the “solar” control concepts were found to help achieving the goals of net-zero energy buildings by maximising self-consumption of renewable energies in the building, as well as reducing the total imported/exported energy.

Suggested Citation

  • Romaní, Joaquim & Belusko, Martin & Alemu, Alemu & Cabeza, Luisa F. & de Gracia, Alvaro & Bruno, Frank, 2018. "Optimization of deterministic controls for a cooling radiant wall coupled to a PV array," Applied Energy, Elsevier, vol. 229(C), pages 1103-1110.
    • Handle: RePEc:eee:appene:v:229:y:2018:i:c:p:1103-1110
    DOI: 10.1016/j.apenergy.2018.08.035
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    References listed on IDEAS

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    2. Simon Heslop & Baran Yildiz & Mike Roberts & Dong Chen & Tim Lau & Shayan Naderi & Anna Bruce & Iain MacGill & Renate Egan, 2022. "A Novel Temperature-Independent Model for Estimating the Cooling Energy in Residential Homes for Pre-Cooling and Solar Pre-Cooling," Energies, MDPI, vol. 15(23), pages 1-18, December.
    3. Sun, Yue & Luo, Zhiwen & Li, Yu & Zhao, Tianyi, 2024. "Grey-box model-based demand side management for rooftop PV and air conditioning systems in public buildings using PSO algorithm," Energy, Elsevier, vol. 296(C).
    4. Yang, Yang & Chen, Sarula & Zhang, Jiqiang, 2023. "A comprehensive study on transient thermal behaviors and performances of the modular pipe-embedded energy wall system under intermittent operation conditions," Energy, Elsevier, vol. 280(C).
    5. Miranda, Nicole D. & Renaldi, Renaldi & Khosla, Radhika & McCulloch, Malcolm D., 2021. "Bibliometric analysis and landscape of actors in passive cooling research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).

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