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Interaction of a Hydrogen Refueling Station Network for Heavy-Duty Vehicles and the Power System in Germany for 2050

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  • Philipp Kluschke
  • Fabian Neumann

Abstract

A potential solution to reduce greenhouse gas (GHG) emissions in the transport sector is to use alternatively fueled vehicles (AFV). Heavy-duty vehicles (HDV) emit a large share of GHG emissions in the transport sector and are therefore the subject of growing attention from global regulators. Fuel cell and green hydrogen technologies are a promising option to decarbonize HDVs, as their fast refueling and long vehicle ranges are in line with current logistic operation concepts. Moreover, the application of green hydrogen in transport could enable more effective integration of renewable energies (RE) across different energy sectors. This paper explores the interplay between HDV Hydrogen Refueling Stations (HRS) that produce hydrogen locally and the power system by combining an infrastructure location planning model and an energy system optimization model that takes grid expansion options into account. Two scenarios - one sizing refueling stations in symbiosis with the power system and one sizing them independently of it - are assessed regarding their impacts on the total annual energy system costs, regional RE integration and the levelized cost of hydrogen (LCOH). The impacts are calculated based on locational marginal pricing for 2050. Depending on the integration scenario, we find average LCOH of between 5.66 euro/kg and 6.20 euro/kg, for which nodal electricity prices are the main determining factor as well as a strong difference in LCOH between north and south Germany. From a system perspective, investing in HDV-HRS in symbiosis with the power system rather than independently promises cost savings of around one billion-euros per annum. We therefore conclude that the co-optimization of multiple energy sectors is important for investment planning and has the potential to exploit synergies.

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  • Philipp Kluschke & Fabian Neumann, 2019. "Interaction of a Hydrogen Refueling Station Network for Heavy-Duty Vehicles and the Power System in Germany for 2050," Papers 1908.10119, arXiv.org.
    • Handle: RePEc:arx:papers:1908.10119
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    1. Capar, Ismail & Kuby, Michael & Leon, V. Jorge & Tsai, Yu-Jiun, 2013. "An arc cover–path-cover formulation and strategic analysis of alternative-fuel station locations," European Journal of Operational Research, Elsevier, vol. 227(1), pages 142-151.
    2. Helmus, J.R. & Spoelstra, J.C. & Refa, N. & Lees, M. & van den Hoed, R., 2018. "Assessment of public charging infrastructure push and pull rollout strategies: The case of the Netherlands," Energy Policy, Elsevier, vol. 121(C), pages 35-47.
    3. Tom Brown & Mirko Schäfer & Martin Greiner, 2019. "Sectoral Interactions as Carbon Dioxide Emissions Approach Zero in a Highly-Renewable European Energy System," Energies, MDPI, vol. 12(6), pages 1-16, March.
    4. Welder, Lara & Ryberg, D.Severin & Kotzur, Leander & Grube, Thomas & Robinius, Martin & Stolten, Detlef, 2018. "Spatio-temporal optimization of a future energy system for power-to-hydrogen applications in Germany," Energy, Elsevier, vol. 158(C), pages 1130-1149.
    5. Wang, Ying-Wei & Wang, Chuan-Ren, 2010. "Locating passenger vehicle refueling stations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(5), pages 791-801, September.
    6. Zhang, Anpeng & Kang, Jee Eun & Kwon, Changhyun, 2017. "Incorporating demand dynamics in multi-period capacitated fast-charging location planning for electric vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 5-29.
    7. Patrick Jochem & Carsten Brendel & Melanie Reuter-Oppermann & Wolf Fichtner & Stefan Nickel, 2016. "Optimizing the allocation of fast charging infrastructure along the German autobahn," Journal of Business Economics, Springer, vol. 86(5), pages 513-535, July.
    8. Brown, T. & Schlachtberger, D. & Kies, A. & Schramm, S. & Greiner, M., 2018. "Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system," Energy, Elsevier, vol. 160(C), pages 720-739.
    9. Kuby, Michael & Lim, Seow, 2005. "The flow-refueling location problem for alternative-fuel vehicles," Socio-Economic Planning Sciences, Elsevier, vol. 39(2), pages 125-145, June.
    10. Plötz, Patrick & Gnann, Till & Jochem, Patrick & Yilmaz, Hasan Ümitcan & Kaschub, Thomas, 2019. "Impact of electric trucks powered by overhead lines on the European electricity system and CO2 emissions," Energy Policy, Elsevier, vol. 130(C), pages 32-40.
    11. Martin Robinius & Alexander Otto & Konstantinos Syranidis & David S. Ryberg & Philipp Heuser & Lara Welder & Thomas Grube & Peter Markewitz & Vanessa Tietze & Detlef Stolten, 2017. "Linking the Power and Transport Sectors—Part 2: Modelling a Sector Coupling Scenario for Germany," Energies, MDPI, vol. 10(7), pages 1-23, July.
    12. Yueyue Fan & Allen Lee & Nathan Parker & Daniel Scheitrum & Rosa Dominguez-Faus & Amy Myers Jaffe & Kenneth Medlock III, 2017. "Geospatial, Temporal and Economic Analysis of Alternative Fuel Infrastructure: The case of freight and U.S. natural gas markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
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    1. Clinton Thai & Jack Brouwer, 2023. "Comparative Levelized Cost Analysis of Transmitting Renewable Solar Energy," Energies, MDPI, vol. 16(4), pages 1-21, February.

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