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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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    1. Romaní, Joaquim & Pérez, Gabriel & de Gracia, Alvaro, 2017. "Experimental evaluation of a heating radiant wall coupled to a ground source heat pump," Renewable Energy, Elsevier, vol. 105(C), pages 520-529.
    2. Arteconi, Alessia & Ciarrocchi, Eleonora & Pan, Quanwen & Carducci, Francesco & Comodi, Gabriele & Polonara, Fabio & Wang, Ruzhu, 2017. "Thermal energy storage coupled with PV panels for demand side management of industrial building cooling loads," Applied Energy, Elsevier, vol. 185(P2), pages 1984-1993.
    3. Gwerder, M. & Tödtli, J. & Lehmann, B. & Dorer, V. & Güntensperger, W. & Renggli, F., 2009. "Control of thermally activated building systems (TABS) in intermittent operation with pulse width modulation," Applied Energy, Elsevier, vol. 86(9), pages 1606-1616, September.
    4. Cho, S.-H & Zaheer-uddin, M, 1999. "An experimental study of multiple parameter switching control for radiant floor heating systems," Energy, Elsevier, vol. 24(5), pages 433-444.
    5. Bojic, Milorad & Nikolic, Novak & Nikolic, Danijela & Skerlic, Jasmina & Miletic, Ivan, 2011. "Toward a positive-net-energy residential building in Serbian conditions," Applied Energy, Elsevier, vol. 88(7), pages 2407-2419, July.
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    1. 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.
    2. 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.
    3. Alicia Crespo & Gabriel Zsembinszki & David Vérez & Emiliano Borri & Cèsar Fernández & Luisa F. Cabeza & Alvaro de Gracia, 2021. "Optimization of Design Variables of a Phase Change Material Storage Tank and Comparison of a 2D Implicit vs. 2D Explicit Model," Energies, MDPI, vol. 14(9), pages 1-15, May.
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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).

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