Analysis of the Impact of Thermal and Electrical Energy Storage Solutions Coupled with PV and CSP Plants in Microgrids.

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Title: Analysis of the Impact of Thermal and Electrical Energy Storage Solutions Coupled with PV and CSP Plants in Microgrids.
Authors: Ferruzzi, Gabriella1 (AUTHOR), Liberatore, Raffaele1 (AUTHOR) raffaele.liberatore@enea.it
Source: Energies (19961073). May2026, Vol. 19 Issue 10, p2327. 36p.
Subject Terms: *Energy storage, *Microgrids, *Heat storage, *Grid energy storage, *Energy consumption, *Photovoltaic power systems, *Solar thermal energy, *Mixed integer linear programming
Abstract: This study analyzes the impact of thermal and electrical storage solutions coupled with Photovoltaic (PV) and Concentrating Solar Power (CSP) plants, proposing an innovative model to test a Hybrid Energy Storage System (HESS). The work presents an innovative Mixed Integer Linear Programming (MILP) model to determine the optimal configuration and operational strategy of a HESS within a grid-connected Microgrid (MG). The research focuses on the synergistic integration of PV with Lithium-ion Electrical Energy Storage (EES) and CSP with Thermal Energy Storage (TES). The MG includes dynamic residential, commercial, and hospital loads. The MILP model is optimized over a 24 h horizon across four season-representative days, utilizing a multi-criteria objective function that balances economic performance and CO2 emissions via a weighting factor ω ∈ [0, 1]. Three distinct CSP options such as Parabolic Trough Collectors with varying Heat Transfer Fluids (molten salt or thermal oil) and TES types (direct and indirect dual-tank, or Phase Change Material) are analyzed, each coupled with a Rankine or Organic Rankine Cycle. Key constraints address energy balances, component efficiencies, power limits, and storage dynamics. The comprehensive results identify the most suitable technology portfolio mix and optimal hour-by-hour operational rules, providing transparent decision-making criteria based on storage size, process temperatures, and specific demand profiles. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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DbLabel: Energy & Power Source
An: 194141442
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Analysis of the Impact of Thermal and Electrical Energy Storage Solutions Coupled with PV and CSP Plants in Microgrids.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ferruzzi%2C+Gabriella%22">Ferruzzi, Gabriella</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liberatore%2C+Raffaele%22">Liberatore, Raffaele</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> raffaele.liberatore@enea.it</i>
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  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 10, p2327. 36p.
– Name: Subject
  Label: Subject Terms
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  Data: *<searchLink fieldCode="DE" term="%22Energy+storage%22">Energy storage</searchLink><br />*<searchLink fieldCode="DE" term="%22Microgrids%22">Microgrids</searchLink><br />*<searchLink fieldCode="DE" term="%22Heat+storage%22">Heat storage</searchLink><br />*<searchLink fieldCode="DE" term="%22Grid+energy+storage%22">Grid energy storage</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br />*<searchLink fieldCode="DE" term="%22Photovoltaic+power+systems%22">Photovoltaic power systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Solar+thermal+energy%22">Solar thermal energy</searchLink><br />*<searchLink fieldCode="DE" term="%22Mixed+integer+linear+programming%22">Mixed integer linear programming</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study analyzes the impact of thermal and electrical storage solutions coupled with Photovoltaic (PV) and Concentrating Solar Power (CSP) plants, proposing an innovative model to test a Hybrid Energy Storage System (HESS). The work presents an innovative Mixed Integer Linear Programming (MILP) model to determine the optimal configuration and operational strategy of a HESS within a grid-connected Microgrid (MG). The research focuses on the synergistic integration of PV with Lithium-ion Electrical Energy Storage (EES) and CSP with Thermal Energy Storage (TES). The MG includes dynamic residential, commercial, and hospital loads. The MILP model is optimized over a 24 h horizon across four season-representative days, utilizing a multi-criteria objective function that balances economic performance and CO2 emissions via a weighting factor ω ∈ [0, 1]. Three distinct CSP options such as Parabolic Trough Collectors with varying Heat Transfer Fluids (molten salt or thermal oil) and TES types (direct and indirect dual-tank, or Phase Change Material) are analyzed, each coupled with a Rankine or Organic Rankine Cycle. Key constraints address energy balances, component efficiencies, power limits, and storage dynamics. The comprehensive results identify the most suitable technology portfolio mix and optimal hour-by-hour operational rules, providing transparent decision-making criteria based on storage size, process temperatures, and specific demand profiles. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19102327
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 36
        StartPage: 2327
    Subjects:
      – SubjectFull: Energy storage
        Type: general
      – SubjectFull: Microgrids
        Type: general
      – SubjectFull: Heat storage
        Type: general
      – SubjectFull: Grid energy storage
        Type: general
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Photovoltaic power systems
        Type: general
      – SubjectFull: Solar thermal energy
        Type: general
      – SubjectFull: Mixed integer linear programming
        Type: general
    Titles:
      – TitleFull: Analysis of the Impact of Thermal and Electrical Energy Storage Solutions Coupled with PV and CSP Plants in Microgrids.
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          Name:
            NameFull: Ferruzzi, Gabriella
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          Name:
            NameFull: Liberatore, Raffaele
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          Dates:
            – D: 15
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
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              Value: 19961073
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              Value: 19
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              Value: 10
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            – TitleFull: Energies (19961073)
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