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A Statistical Assessment of Blending Hydrogen into Gas Networks

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  • Enrico Vaccariello

    (Department of Energy, Politecnico di Torino, c.so Duca degli Abruzzi 24, 10129 Torino, Italy
    Department of Electronics and Telecommunications, Politecnico di Torino, c.so Duca degli Abruzzi 24, 10129 Torino, Italy)

  • Riccardo Trinchero

    (Department of Electronics and Telecommunications, Politecnico di Torino, c.so Duca degli Abruzzi 24, 10129 Torino, Italy)

  • Igor S. Stievano

    (Department of Electronics and Telecommunications, Politecnico di Torino, c.so Duca degli Abruzzi 24, 10129 Torino, Italy)

  • Pierluigi Leone

    (Department of Energy, Politecnico di Torino, c.so Duca degli Abruzzi 24, 10129 Torino, Italy)

Abstract

The deployment of low-carbon hydrogen in gas grids comes with strategic benefits in terms of energy system integration and decarbonization. However, hydrogen thermophysical properties substantially differ from natural gas and pose concerns of technical and regulatory nature. The present study investigates the blending of hydrogen into distribution gas networks, focusing on the steady-state fluid dynamic response of the grids and gas quality compliance issues at increasing hydrogen admixture levels. Two blending strategies are analyzed, the first of which involves the supply of NG–H 2 blends at the city gate, while the latter addresses the injection of pure hydrogen in internal grid locations. In contrast with traditional case-specific analyses, results are derived from simulations executed over a large number (i.e., one thousand) of synthetic models of gas networks. The responses of the grids are therefore analyzed in a statistical fashion. The results highlight that lower probabilities of violating fluid dynamic and quality restrictions are obtained when hydrogen injection occurs close to or in correspondence with the system city gate. When pure hydrogen is injected in internal grid locations, even very low volumes (1% vol of the total) may determine gas quality violations, while fluid dynamic issues arise only in rare cases of significant hydrogen injection volumes (30% vol of the total).

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:5055-:d:616300
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    References listed on IDEAS

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    1. Guandalini, Giulio & Campanari, Stefano & Romano, Matteo C., 2015. "Power-to-gas plants and gas turbines for improved wind energy dispatchability: Energy and economic assessment," Applied Energy, Elsevier, vol. 147(C), pages 117-130.
    2. Abeysekera, M. & Wu, J. & Jenkins, N. & Rees, M., 2016. "Steady state analysis of gas networks with distributed injection of alternative gas," Applied Energy, Elsevier, vol. 164(C), pages 991-1002.
    3. Zain Anwer Memon & Riccardo Trinchero & Paolo Manfredi & Flavio Canavero & Igor S. Stievano, 2020. "Compressed Machine Learning Models for the Uncertainty Quantification of Power Distribution Networks," Energies, MDPI, vol. 13(18), pages 1-18, September.
    4. Vaccariello, Enrico & Leone, Pierluigi & Canavero, Flavio G. & Stievano, Igor S., 2021. "Topological modelling of gas networks for co-simulation applications in multi-energy systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 183(C), pages 244-253.
    5. 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).
    6. Thema, M. & Bauer, F. & Sterner, M., 2019. "Power-to-Gas: Electrolysis and methanation status review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 775-787.
    7. Pellegrino, Sandro & Lanzini, Andrea & Leone, Pierluigi, 2017. "Greening the gas network – The need for modelling the distributed injection of alternative fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 266-286.
    8. Quarton, Christopher J. & Samsatli, Sheila, 2018. "Power-to-gas for injection into the gas grid: What can we learn from real-life projects, economic assessments and systems modelling?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 302-316.
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    Cited by:

    1. 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.
    2. Nejc Klopčič & Thomas Stöhr & Ilena Grimmer & Markus Sartory & Alexander Trattner, 2022. "Refurbishment of Natural Gas Pipelines towards 100% Hydrogen—A Thermodynamic-Based Analysis," Energies, MDPI, vol. 15(24), pages 1-23, December.
    3. Adrian Neacsa & Cristian Nicolae Eparu & Doru Bogdan Stoica, 2022. "Hydrogen–Natural Gas Blending in Distribution Systems—An Energy, Economic, and Environmental Assessment," Energies, MDPI, vol. 15(17), pages 1-26, August.
    4. Igor Simone Stievano & Riccardo Trinchero, 2023. "Advanced Techniques for the Modeling and Simulation of Energy Networks," Energies, MDPI, vol. 16(5), pages 1-3, February.

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