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Capturing features of hourly-resolution energy models through statistical annual indicators

Author

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  • Parrado-Hernando, Gonzalo
  • Herc, Luka
  • Pfeifer, Antun
  • Capellán-Perez, Iñigo
  • Batas Bjelić, Ilija
  • Duić, Neven
  • Frechoso-Escudero, Fernando
  • Miguel González, Luis Javier
  • Gjorgievski, Vladimir Z.

Abstract

Long term-energy planning has gradually moved towards finer temporal and spatial resolutions of the energy system to design the decarbonization of the society. However, integrated assessment models (IAMs), focusing on a broader concept of sustainability transition, are typically yearly-resolution models which complicates capturing the specific supply-demand dynamics, relevant in the transition towards renewable energy sources (RES). Different methods for introducing sub-annual information are being used in IAMs, but the hourly representation of variable RES remains challenging.

Suggested Citation

  • Parrado-Hernando, Gonzalo & Herc, Luka & Pfeifer, Antun & Capellán-Perez, Iñigo & Batas Bjelić, Ilija & Duić, Neven & Frechoso-Escudero, Fernando & Miguel González, Luis Javier & Gjorgievski, Vladimir, 2022. "Capturing features of hourly-resolution energy models through statistical annual indicators," Renewable Energy, Elsevier, vol. 197(C), pages 1192-1223.
    • Handle: RePEc:eee:renene:v:197:y:2022:i:c:p:1192-1223
    DOI: 10.1016/j.renene.2022.07.040
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