RT info:eu-repo/semantics/article
T1 Capturing features of hourly-resolution energy models through statistical annual indicators
A1 Parrado-Hernando, Gonzalo
A1 Herc, Luka
A1 Pfeifer, Antun
A1 Capellán-Perez, Iñigo
A1 Batas Bjelić, Ilija
A1 Duić, Neven
A1 Frechoso-Escudero, Fernando
A1 Miguel González, Luis Javier
A1 Gjorgievski, Vladimir Z.
K1 EnergyPLAN
K1 Integrated assessment model (IAM)
K1 100% renewables
K1 Variable renewable energy source (VRES)
K1 3306 Ingeniería y Tecnología Eléctricas
K1 3322 Tecnología Energética
AB 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. This article presents a method to translate the main dynamics of an hourly-resolution energy model into a yearly-resolution model. Here we test our method with the current European Union region (EU-27) by configuring and applying the hourly-resolution EnergyPLAN. Multiple linear regression analysis is applied to 174960 simulations (set by varying 39 inputs by clusters and reaching 100% renewable systems), relating the adjusted capacity factors of the technologies as well as the variation of electricity demand and natural gas consumption as a function of the options installed to manage the variable RES. The obtained results allow validation of the developed approach, which shows to be flexible and easily generalizable enough to be applied to any couple of hourly and annual-resolution models and/or country.
PB Elsevier Ltd
SN 0960-1481
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/75726
UL https://uvadoc.uva.es/handle/10324/75726
LA spa
NO Renewable Energy, September 2022, vol. 197, p. 1192-1223
NO Producción Científica
DS UVaDOC
RD 17-jul-2025