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Investigating Hydrogen-Based Non-Conventional Storage for PV Power in Eco-Energetic Optimization of a Multi-Energy System

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  • Marialaura Di Somma

    (Department of Energy Technologies and Renewable Sources, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00123 Rome, Italy)

  • Martina Caliano

    (Department of Energy Technologies and Renewable Sources, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00123 Rome, Italy)

  • Viviana Cigolotti

    (Department of Energy Technologies and Renewable Sources, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00123 Rome, Italy)

  • Giorgio Graditi

    (Department of Energy Technologies and Renewable Sources, Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00123 Rome, Italy)

Abstract

Through the integration of multiple energy carriers with related technologies, multi-energy systems (MES) can exploit the synergies coming from their interplay for several benefits towards decarbonization. In such a context, inclusion of Power-to-X technologies in periods of excess renewable electricity supply, removes the need for curtailment of renewable electricity generation. In order to achieve the environmental benefits of MES without neglecting their economic feasibility, the optimal design problem is as crucial as challenging and requires the adoption of a multi-objective approach. This paper extends the results of a previous work, by investigating hydrogen-based non-conventional storage for PV power in the eco-energetic optimization of an MES. The system under study consists of a reversible fuel cell (r-SOC), photovoltaic (PV), electric heat pump, absorption chiller and thermal storage, and allows satisfying the multi-energy needs of a residential end-user. A multi-objective linear problem is established to find the optimal MES configuration including the sizes of the involved technologies with the goal of reducing the total annual cost and the fossil primary energy input. Simulation results are compared with those obtained in previous work with a conventional nanogrid where a combined heat and power (CHP) system with gas-fired internal combustion engine and a battery were present instead of an r-SOC. The optimized configuration of the non-conventional nanogrid allows achieving a maximum primary energy reduction amounting to 66.3%, compared to the conventional nanogrid. In the face of the environmental benefits, the non-conventional nanogrid leads to an increase in total annual costs, which, compared to the conventional nanogrid, is in the range of 41–65%.

Suggested Citation

  • Marialaura Di Somma & Martina Caliano & Viviana Cigolotti & Giorgio Graditi, 2021. "Investigating Hydrogen-Based Non-Conventional Storage for PV Power in Eco-Energetic Optimization of a Multi-Energy System," Energies, MDPI, vol. 14(23), pages 1-17, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:23:p:8096-:d:694326
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    References listed on IDEAS

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    1. Mancarella, Pierluigi, 2014. "MES (multi-energy systems): An overview of concepts and evaluation models," Energy, Elsevier, vol. 65(C), pages 1-17.
    2. Di Somma, M. & Yan, B. & Bianco, N. & Graditi, G. & Luh, P.B. & Mongibello, L. & Naso, V., 2017. "Multi-objective design optimization of distributed energy systems through cost and exergy assessments," Applied Energy, Elsevier, vol. 204(C), pages 1299-1316.
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    4. Peng Fu & Danny Pudjianto & Xi Zhang & Goran Strbac, 2020. "Integration of Hydrogen into Multi-Energy Systems Optimisation," Energies, MDPI, vol. 13(7), pages 1-19, April.
    5. Luigi Bottecchia & Pietro Lubello & Pietro Zambelli & Carlo Carcasci & Lukas Kranzl, 2021. "The Potential of Simulating Energy Systems: The Multi Energy Systems Simulator Model," Energies, MDPI, vol. 14(18), pages 1-27, September.
    6. Gabrielli, Paolo & Gazzani, Matteo & Mazzotti, Marco, 2018. "Electrochemical conversion technologies for optimal design of decentralized multi-energy systems: Modeling framework and technology assessment," Applied Energy, Elsevier, vol. 221(C), pages 557-575.
    7. Bailera, Manuel & Peña, Begoña & Lisbona, Pilar & Romeo, Luis M., 2018. "Decision-making methodology for managing photovoltaic surplus electricity through Power to Gas: Combined heat and power in urban buildings," Applied Energy, Elsevier, vol. 228(C), pages 1032-1045.
    8. Viviana Cigolotti & Matteo Genovese & Petronilla Fragiacomo, 2021. "Comprehensive Review on Fuel Cell Technology for Stationary Applications as Sustainable and Efficient Poly-Generation Energy Systems," Energies, MDPI, vol. 14(16), pages 1-28, August.
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    Cited by:

    1. Zhang, Guodao & Ge, Yisu & Pan, Xiaotian & Zheng, Yun & Yang, Yanhong, 2023. "Hybrid robust-stochastic multi-objective optimization of combined cooling, heating, hydrogen and power-based microgrids," Energy, Elsevier, vol. 274(C).
    2. Ma, Ning & Fan, Lurong, 2023. "Double recovery strategy of carbon for coal-to-power based on a multi-energy system with tradable green certificates," Energy, Elsevier, vol. 273(C).

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