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A New Solar Assisted Heat Pump System with Underground Energy Storage: Modelling and Optimisation

Author

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  • Paweł Ocłoń

    (Faculty of Mechanical Engineering, Institute of Thermal Power Engineering, Cracow University of Technology, al. Jana Pawła II 37, 31-864 Kraków, Poland)

  • Maciej Ławryńczuk

    (Faculty of Electronics and Information Technology, Institute of Control and Computation Engineering, Warsaw University of Technology, ul. Nowowiejska 15/19, 00-665 Warsaw, Poland)

  • Marek Czamara

    (Czamara Urządzenia Chłodnicze Company, ul. Ceglarska 27, 34-600 Limanowa, Poland)

Abstract

The objectives of this work are: (a) to present a new system for building heating which is based on underground energy storage, (b) to develop a mathematical model of the system, and (c) to optimise the energy performance of the system. The system includes Photovoltaic Thermal Hybrid Solar Panels (PVT) panels with cooling, an evacuated solar collector and a water-to-water heat pump. Additionally, storage tanks, placed underground, are used to store the waste heat from PVT panels cooling. The thermal energy produced by the solar collectors is used for both domestic hot water preparation and thermal energy storage. Both PVT panels and solar collectors are assembled with a sun-tracking system to achieve the highest possible solar energy gain. Optimisation of the proposed system is considered to achieve the highest Renewable Energy Sources (RES) share during the heating period. Because the resulting optimisation problem is nonlinear, the classical gradient-based optimisation algorithm gives solutions that are not satisfying. As alternatives, three heuristic global optimisation methods are considered: the Genetic Algorithm (GA), the Particle Swarm Optimisation (PSO) algorithm, and the Jaya algorithm. It is shown that the Jaya algorithm outperforms the GA and PSO methods. The most significant result is that 93% of thermal energy is covered by using the underground energy storage unit consisting of two tanks.

Suggested Citation

  • Paweł Ocłoń & Maciej Ławryńczuk & Marek Czamara, 2021. "A New Solar Assisted Heat Pump System with Underground Energy Storage: Modelling and Optimisation," Energies, MDPI, vol. 14(16), pages 1-15, August.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:5137-:d:617992
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    Cited by:

    1. Zhang, Sheng & Ocłoń, Paweł & Klemeš, Jiří Jaromír & Michorczyk, Piotr & Pielichowska, Kinga & Pielichowski, Krzysztof, 2022. "Renewable energy systems for building heating, cooling and electricity production with thermal energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    2. Fedorczak-Cisak, Małgorzata & Radziszewska-Zielina, Elżbieta & Nowak-Ocłoń, Marzena & Biskupski, Jacek & Jastrzębski, Paweł & Kotowicz, Anna & Varbanov, Petar Sabev & Klemeš, Jiří Jaromír, 2023. "A concept to maximise energy self-sufficiency of the housing stock in central Europe based on renewable resources and efficiency improvement," Energy, Elsevier, vol. 278(C).
    3. Vallati, Andrea & Di Matteo, Miriam & Sundararajan, Mukund & Muzi, Francesco & Fiorini, Costanza Vittoria, 2024. "Development and optimization of an energy saving strategy for social housing applications by water source-heat pump integrating photovoltaic-thermal panels," Energy, Elsevier, vol. 301(C).
    4. Jacek Kasperski & Anna Bać & Oluwafunmilola Oladipo, 2023. "A Simulation of a Sustainable Plus-Energy House in Poland Equipped with a Photovoltaic Powered Seasonal Thermal Storage System," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    5. Barnaś, Krzysztof & Jeleński, Tomasz & Nowak-Ocłoń, Marzena & Racoń-Leja, Kinga & Radziszewska-Zielina, Elżbieta & Szewczyk, Bartłomiej & Śladowski, Grzegorz & Toś, Cezary & Varbanov, Petar Sabev, 2023. "Algorithm for the comprehensive thermal retrofit of housing stock aided by renewable energy supply: A sustainable case for Krakow," Energy, Elsevier, vol. 263(PD).

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