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Simulation of Coupled Power and Gas Systems with Hydrogen-Enriched Natural Gas

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  • Yifei Lu

    (IEK-10: Energy Systems Engineering, Institute of Energy and Climate Research, Forschungszentrum Jülich, 52428 Jülich, Germany
    Faculty of Mechanical Engineering, RWTH Aachen University, 52062 Aachen, Germany)

  • Thiemo Pesch

    (IEK-10: Energy Systems Engineering, Institute of Energy and Climate Research, Forschungszentrum Jülich, 52428 Jülich, Germany)

  • Andrea Benigni

    (IEK-10: Energy Systems Engineering, Institute of Energy and Climate Research, Forschungszentrum Jülich, 52428 Jülich, Germany
    Faculty of Mechanical Engineering, RWTH Aachen University, 52062 Aachen, Germany)

Abstract

Due to the increasing share of renewable energy sources in the electrical network, the focus on decarbonization has extended into other energy sectors. The gas sector is of special interest because it can offer seasonal storage capacity and additional flexibility to the electricity sector. In this paper, we present a new simulation method designed for hydrogen-enriched natural gas network simulation. It can handle different gas compositions and is thus able to accurately analyze the impact of hydrogen injections into natural gas pipelines. After describing the newly defined simulation method, we demonstrate how the simulation tool can be used to analyze a hydrogen-enriched gas pipeline network. An exemplary co-simulation of coupled power and gas networks shows that hydrogen injections are severely constrained by the gas pipeline network, highlighting the importance and necessity of considering different gas compositions in the simulation.

Suggested Citation

  • Yifei Lu & Thiemo Pesch & Andrea Benigni, 2021. "Simulation of Coupled Power and Gas Systems with Hydrogen-Enriched Natural Gas," Energies, MDPI, vol. 14(22), pages 1-17, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7680-:d:680682
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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. Daniel Lohmeier & Dennis Cronbach & Simon Ruben Drauz & Martin Braun & Tanja Manuela Kneiske, 2020. "Pandapipes: An Open-Source Piping Grid Calculation Package for Multi-Energy Grid Simulations," Sustainability, MDPI, vol. 12(23), pages 1-39, November.
    3. Pambour, Kwabena Addo & Cakir Erdener, Burcin & Bolado-Lavin, Ricardo & Dijkema, Gerard P.J., 2017. "SAInt – A novel quasi-dynamic model for assessing security of supply in coupled gas and electricity transmission networks," Applied Energy, Elsevier, vol. 203(C), pages 829-857.
    4. de Boer, Harmen Sytze & Grond, Lukas & Moll, Henk & Benders, René, 2014. "The application of power-to-gas, pumped hydro storage and compressed air energy storage in an electricity system at different wind power penetration levels," Energy, Elsevier, vol. 72(C), pages 360-370.
    5. Guandalini, Giulio & Colbertaldo, Paolo & Campanari, Stefano, 2017. "Dynamic modeling of natural gas quality within transport pipelines in presence of hydrogen injections," Applied Energy, Elsevier, vol. 185(P2), pages 1712-1723.
    6. Ryan Wiser & Karen Jenni & Joachim Seel & Erin Baker & Maureen Hand & Eric Lantz & Aaron Smith, 2016. "Expert elicitation survey on future wind energy costs," Nature Energy, Nature, vol. 1(10), pages 1-8, October.
    7. Pfenninger, Stefan & Staffell, Iain, 2016. "Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data," Energy, Elsevier, vol. 114(C), pages 1251-1265.
    8. 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.
    9. Davis, William & Martín, Mariano, 2014. "Optimal year-round operation for methane production from CO2 and water using wind energy," Energy, Elsevier, vol. 69(C), pages 497-505.
    10. Zhou, Wei & Yang, Hongxing & Fang, Zhaohong, 2007. "A novel model for photovoltaic array performance prediction," Applied Energy, Elsevier, vol. 84(12), pages 1187-1198, December.
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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. German Dominguez-Gonzalez & Jose Ignacio Muñoz-Hernandez & Derek Bunn & Carlos Jesus Garcia-Checa, 2022. "Integration of Hydrogen and Synthetic Natural Gas within Legacy Power Generation Facilities," Energies, MDPI, vol. 15(12), pages 1-27, June.
    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. Johannes Schaffert, 2022. "Progress in Power-to-Gas Energy Systems," Energies, MDPI, vol. 16(1), pages 1-9, December.
    5. Mustapha D. Ibrahim & Fatima A. S. Binofai & Maha O. A. Mohamad, 2022. "Transition to Low-Carbon Hydrogen Energy System in the UAE: Sector Efficiency and Hydrogen Energy Production Efficiency Analysis," Energies, MDPI, vol. 15(18), pages 1-19, September.

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