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Fuzzy Logic Energy Management Strategy of a Multiple Latent Heat Thermal Storage in a Small-Scale Concentrated Solar Power Plant

Author

Listed:
  • Roberto Tascioni

    (DIAEE, Sapienza Università di Roma, 00185 Rome, Italy
    CREAT, Università Telematica eCampus, 22060 Novedrate, Italy)

  • Alessia Arteconi

    (DIISM, Università Politecnica delle Marche, 60131 Ancona, Italy
    Department of Mechanical Engineering, KU Leuven, B-3000 Leuven, Belgium)

  • Luca Del Zotto

    (CREAT, Università Telematica eCampus, 22060 Novedrate, Italy)

  • Luca Cioccolanti

    (CREAT, Università Telematica eCampus, 22060 Novedrate, Italy)

Abstract

Latent heat thermal energy storage (LHTES) systems allow us to effectively store and release the collected thermal energy from solar thermodynamic plants; however, room for improvements exists to increase their efficiency when in operation. For this reason, in this work, a smart management strategy of an innovative LHTES in a micro-scale concentrated solar combined heat and power plant is proposed and numerically investigated. The novel thermal storage system, as designed and built by the partners within the EU funded Innova MicroSolar project, is subdivided into six modules and consists of 3.8 tons of nitrate solar salt kNO 3 /NaNO 3 , whose melting temperature is in the range 216 ÷ 223 °C. In this study, the partitioning of the storage system on the performance of the integrated plant is evaluated by applying a smart energy management strategy based on a fuzzy logic approach. Compared to the single thermal energy storage (TES) configuration, the proposed strategy allows a reduction in storage thermal losses and improving of the plant’s overall efficiency especially in periods with limited solar irradiance. The yearly dynamic simulations carried out show that the electricity produced by the combined heat and power plant is increased by about 5%, while the defocus thermal losses in the solar plant are reduced by 30%.

Suggested Citation

  • Roberto Tascioni & Alessia Arteconi & Luca Del Zotto & Luca Cioccolanti, 2020. "Fuzzy Logic Energy Management Strategy of a Multiple Latent Heat Thermal Storage in a Small-Scale Concentrated Solar Power Plant," Energies, MDPI, vol. 13(11), pages 1-16, May.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:2733-:d:364521
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    References listed on IDEAS

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    Cited by:

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    3. Behzadi, Amirmohammad & Holmberg, Sture & Duwig, Christophe & Haghighat, Fariborz & Ooka, Ryozo & Sadrizadeh, Sasan, 2022. "Smart design and control of thermal energy storage in low-temperature heating and high-temperature cooling systems: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
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    5. Giorgio Cau & Mario Petrollese & Vittorio Tola, 2022. "Modeling, Optimization and Testing of Thermal Energy Storage Systems and Their Integration in Energy Conversion Processes," Energies, MDPI, vol. 15(3), pages 1-3, February.

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