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Electrical and gas networks coupling through hydrogen blending under increasing distributed photovoltaic generation

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  • Cavana, Marco
  • Mazza, Andrea
  • Chicco, Gianfranco
  • Leone, Pierluigi

Abstract

Electricity and gas infrastructure coupling has the twofold effect of solving production-consumption mismatches and decarbonizing the natural gas system through power-to-gas technologies producing hydrogen to be injected within the gas network. However, little is known on how this may impact the gas network operation, especially at a local level. This paper aims to fill this gap by presenting a methodology for modeling the interactions between electricity and gas distribution networks through the implementation of their physical models. A scenario of increasing penetration of distributed photovoltaic production is considered for a sample urban area. Whenever photovoltaic production exceeds the urban area consumption, hydrogen is produced and injected into the gas network. 24 injection scenarios were examined and compared to evaluate their impacts on fluid-dynamics and the quality of gas blends. Results show possible bottlenecks against hydrogen injection caused by the gas network. During summertime operations and in the cases of injection following directly the solar over-production, the hydrogen share peaks 20–30% already in the scenario of 40% solar penetration, generating unacceptable blends. These gas quality perturbations are considerably reduced when hydrogen is injected constantly throughout the day. The choice of the injection node also contributes to perturbation reduction. Sector coupling through hydrogen blending results in a complex interplay between renewable energy excess and local gas network availability which can be enhanced by buffer storage solutions and proper choice of injection node. In the framework of integrated and multi-gas systems, combined simulation tools are necessary to evaluate sector-coupling opportunities case-by-case.

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  • Cavana, Marco & Mazza, Andrea & Chicco, Gianfranco & Leone, Pierluigi, 2021. "Electrical and gas networks coupling through hydrogen blending under increasing distributed photovoltaic generation," Applied Energy, Elsevier, vol. 290(C).
    • Handle: RePEc:eee:appene:v:290:y:2021:i:c:s0306261921002713
    DOI: 10.1016/j.apenergy.2021.116764
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    3. Romeo, Luis M. & Cavana, Marco & Bailera, Manuel & Leone, Pierluigi & Peña, Begoña & Lisbona, Pilar, 2022. "Non-stoichiometric methanation as strategy to overcome the limitations of green hydrogen injection into the natural gas grid," Applied Energy, Elsevier, vol. 309(C).
    4. Adrian Neacsa & Cristian Nicolae Eparu & Cașen Panaitescu & Doru Bogdan Stoica & Bogdan Ionete & Alina Prundurel & Sorin Gal, 2023. "Hydrogen–Natural Gas Mix—A Viable Perspective for Environment and Society," Energies, MDPI, vol. 16(15), pages 1-38, August.
    5. Shen, Xiaojun & Li, Xingyi & Yuan, Jiahai & Jin, Yu, 2022. "A hydrogen-based zero-carbon microgrid demonstration in renewable-rich remote areas: System design and economic feasibility," Applied Energy, Elsevier, vol. 326(C).
    6. Pastore, Lorenzo Mario & Lo Basso, Gianluigi & Ricciardi, Guido & de Santoli, Livio, 2022. "Synergies between Power-to-Heat and Power-to-Gas in renewable energy communities," Renewable Energy, Elsevier, vol. 198(C), pages 1383-1397.
    7. Saedi, Isam & Mhanna, Sleiman & Mancarella, Pierluigi, 2021. "Integrated electricity and gas system modelling with hydrogen injections and gas composition tracking," Applied Energy, Elsevier, vol. 303(C).
    8. Devinder Mahajan & Kun Tan & T. Venkatesh & Pradheep Kileti & Clive R. Clayton, 2022. "Hydrogen Blending in Gas Pipeline Networks—A Review," Energies, MDPI, vol. 15(10), pages 1-32, May.
    9. Enrico Vaccariello & Riccardo Trinchero & Igor S. Stievano & Pierluigi Leone, 2021. "A Statistical Assessment of Blending Hydrogen into Gas Networks," Energies, MDPI, vol. 14(16), pages 1-17, August.
    10. Dong, Haiyan & Fu, Yanbo & Jia, Qingquan & Zhang, Tie & Meng, Dequn, 2023. "Low carbon optimization of integrated energy microgrid based on life cycle analysis method and multi time scale energy storage," Renewable Energy, Elsevier, vol. 206(C), pages 60-71.

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