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Control concepts of a radiant wall working as thermal energy storage for peak load shifting of a heat pump coupled to a PV array

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

Abstract

Photovoltaic panels (PV) coupled to a heat pump supplying heat to a radiant wall is a system with potential to reduce the imported energy from the grid for heating and cooling of buildings. The radiant wall works as a thermal storage system (TES) allowing storage of the PV output and, thus, peak load shifting. However, the management of these technologies is complex due to the dynamics of the system. This paper presents several control concepts with different purposes such as shifting energy use to off-peak periods, maximizing self-consumption of PV output, and minimization of imported energy from the grid. An experimentally validated numerical model from previous research was used to investigate and compare the different proposed control concepts. Results showed that charging the wall with solar energy resulted in higher overall energy use of the heat pump, while the imported grid energy was significantly reduced, thanks to self-consumption.

Suggested Citation

  • Romaní, Joaquim & Belusko, Martin & Alemu, Alemu & Cabeza, Luisa F. & de Gracia, Alvaro & Bruno, Frank, 2018. "Control concepts of a radiant wall working as thermal energy storage for peak load shifting of a heat pump coupled to a PV array," Renewable Energy, Elsevier, vol. 118(C), pages 489-501.
    • Handle: RePEc:eee:renene:v:118:y:2018:i:c:p:489-501
    DOI: 10.1016/j.renene.2017.11.036
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    References listed on IDEAS

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    Cited by:

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    2. Vallati, A. & Ocłoń, P. & Colucci, C. & Mauri, L. & de Lieto Vollaro, R. & Taler, J., 2019. "Energy analysis of a thermal system composed by a heat pump coupled with a PVT solar collector," Energy, Elsevier, vol. 174(C), pages 91-96.
    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. 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.
    5. Sarmas, Elissaios & Spiliotis, Evangelos & Stamatopoulos, Efstathios & Marinakis, Vangelis & Doukas, Haris, 2023. "Short-term photovoltaic power forecasting using meta-learning and numerical weather prediction independent Long Short-Term Memory models," Renewable Energy, Elsevier, vol. 216(C).
    6. Wiesheu, Michael & Rutešić, Luka & Shukhobodskiy, Alexander Alexandrovich & Pogarskaia, Tatiana & Zaitcev, Aleksandr & Colantuono, Giuseppe, 2021. "RED WoLF hybrid storage system: Adaptation of algorithm and analysis of performance in residential dwellings," Renewable Energy, Elsevier, vol. 179(C), pages 1036-1048.
    7. Yang, Yang & Chen, Sarula, 2022. "Thermal insulation solutions for opaque envelope of low-energy buildings: A systematic review of methods and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    8. Celena Lorenzo & Luis Narvarte & Ana Belén Cristóbal, 2020. "A Comparative Economic Feasibility Study of Photovoltaic Heat Pump Systems for Industrial Space Heating and Cooling," Energies, MDPI, vol. 13(16), pages 1-20, August.
    9. 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.

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