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Do multi-sector energy system optimization models need hourly temporal resolution? A case study with an investment and dispatch model applied to France

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  • Shirizadeh, Behrang
  • Quirion, Philippe

Abstract

Energy system optimization models (ESOMs) increasingly cover the main energy-consuming sectors rather than just electricity, which massively raises calculation time. To reduce the latter, researchers apply various time-series aggregation methods, the pros and cons of which have been analyzed for electricity-only ESOMs but not for ESOMs also covering the main energy-consuming sectors. To address this question we compare the two main time-series aggregation methods: (1) reducing the temporal resolution (from one to two, four or eight hours) and (2) selecting representative periods (one week over one, two or three months, with an hourly resolution). We apply these methods to EOLES_mv, an ESOM covering the main French energy sectors. Both methods cut the calculation time by a similar amount but the former generates much smaller discrepancies for the main output variables (energy mix, system cost and CO2 emissions). These results are at odds with those generally obtained with electricity-only ESOMs, for which reducing the temporal resolution generates significant discrepancies when wind and solar dominate the electricity mix.

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  • Shirizadeh, Behrang & Quirion, Philippe, 2022. "Do multi-sector energy system optimization models need hourly temporal resolution? A case study with an investment and dispatch model applied to France," Applied Energy, Elsevier, vol. 305(C).
    • Handle: RePEc:eee:appene:v:305:y:2022:i:c:s0306261921012617
    DOI: 10.1016/j.apenergy.2021.117951
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    1. Maximilian Hoffmann & Leander Kotzur & Detlef Stolten & Martin Robinius, 2020. "A Review on Time Series Aggregation Methods for Energy System Models," Energies, MDPI, vol. 13(3), pages 1-61, February.
    2. de Guibert, Paul & Shirizadeh, Behrang & Quirion, Philippe, 2020. "Variable time-step: A method for improving computational tractability for energy system models with long-term storage," Energy, Elsevier, vol. 213(C).
    3. Gils, Hans Christian, 2014. "Assessment of the theoretical demand response potential in Europe," Energy, Elsevier, vol. 67(C), pages 1-18.
    4. Krakowski, Vincent & Assoumou, Edi & Mazauric, Vincent & Maïzi, Nadia, 2016. "Reprint of Feasible path toward 40–100% renewable energy shares for power supply in France by 2050: A prospective analysis," Applied Energy, Elsevier, vol. 184(C), pages 1529-1550.
    5. Behrang Shirizadeh & Quentin Perrier & Philippe Quirion, 2022. "How Sensitive are Optimal Fully Renewable Power Systems to Technology Cost Uncertainty?," The Energy Journal, , vol. 43(1), pages 43-75, January.
    6. Shirizadeh, Behrang & Quirion, Philippe, 2021. "Low-carbon options for the French power sector: What role for renewables, nuclear energy and carbon capture and storage?," Energy Economics, Elsevier, vol. 95(C).
    7. Henning, Hans-Martin & Palzer, Andreas, 2014. "A comprehensive model for the German electricity and heat sector in a future energy system with a dominant contribution from renewable energy technologies—Part I: Methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 1003-1018.
    8. Pfenninger, Stefan, 2017. "Dealing with multiple decades of hourly wind and PV time series in energy models: A comparison of methods to reduce time resolution and the planning implications of inter-annual variability," Applied Energy, Elsevier, vol. 197(C), pages 1-13.
    9. Gea-Bermúdez, Juan & Jensen, Ida Græsted & Münster, Marie & Koivisto, Matti & Kirkerud, Jon Gustav & Chen, Yi-kuang & Ravn, Hans, 2021. "The role of sector coupling in the green transition: A least-cost energy system development in Northern-central Europe towards 2050," Applied Energy, Elsevier, vol. 289(C).
    10. Zhu, K. & Victoria, M. & Brown, T. & Andresen, G.B. & Greiner, M., 2019. "Impact of CO2 prices on the design of a highly decarbonised coupled electricity and heating system in Europe," Applied Energy, Elsevier, vol. 236(C), pages 622-634.
    11. 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.
    12. Zhu, K. & Victoria, M. & Andresen, G.B. & Greiner, M., 2020. "Impact of climatic, technical and economic uncertainties on the optimal design of a coupled fossil-free electricity, heating and cooling system in Europe," Applied Energy, Elsevier, vol. 262(C).
    13. Staffell, Iain & Pfenninger, Stefan, 2016. "Using bias-corrected reanalysis to simulate current and future wind power output," Energy, Elsevier, vol. 114(C), pages 1224-1239.
    14. Palzer, Andreas & Henning, Hans-Martin, 2014. "A comprehensive model for the German electricity and heat sector in a future energy system with a dominant contribution from renewable energy technologies – Part II: Results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 1019-1034.
    15. Krakowski, Vincent & Assoumou, Edi & Mazauric, Vincent & Maïzi, Nadia, 2016. "Feasible path toward 40–100% renewable energy shares for power supply in France by 2050: A prospective analysis," Applied Energy, Elsevier, vol. 171(C), pages 501-522.
    16. Postic, Sebastien & Selosse, Sandrine & Maïzi, Nadia, 2017. "Energy contribution to Latin American INDCs: Analyzing sub-regional trends with a TIMES model," Energy Policy, Elsevier, vol. 101(C), pages 170-184.
    17. Lund, Henrik & Østergaard, Poul Alberg & Connolly, David & Mathiesen, Brian Vad, 2017. "Smart energy and smart energy systems," Energy, Elsevier, vol. 137(C), pages 556-565.
    18. Alimou, Yacine & Maïzi, Nadia & Bourmaud, Jean-Yves & Li, Marion, 2020. "Assessing the security of electricity supply through multi-scale modeling: The TIMES-ANTARES linking approach," Applied Energy, Elsevier, vol. 279(C).
    19. Perrier, Quentin, 2018. "The second French nuclear bet," Energy Economics, Elsevier, vol. 74(C), pages 858-877.
    20. Schill, Wolf-Peter & Zerrahn, Alexander, 2018. "Long-run power storage requirements for high shares of renewables: Results and sensitivities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 83(C), pages 156-171.
    21. 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.
    22. Prina, Matteo Giacomo & Casalicchio, Valeria & Kaldemeyer, Cord & Manzolini, Giampaolo & Moser, David & Wanitschke, Alexander & Sparber, Wolfram, 2020. "Multi-objective investment optimization for energy system models in high temporal and spatial resolution," Applied Energy, Elsevier, vol. 264(C).
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