2019
DOI: 10.1016/j.apenergy.2018.10.055
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Hourly-resolution analysis of electricity decarbonization in Spain (2017–2030)

Abstract: Two alternative paths to achieve highly-renewable electricity generation in peninsular Spain are investigated in this paper. Every transition path comprises a description of the installed and decommissioned generation and storage capacities, from 2017 to 2030, as well as a hypothesis on the evolution of the electricity demand. The electricity mix for every hour within the transition path is determined through a dispatch algorithm that prioritízes electricity from renewable energy sources. The simulation is run… Show more

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Cited by 20 publications
(19 citation statements)
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“…This section summarises the main aspects of the tool for transition path analysis introduced in Reference [9]. The model uses an hourly dispatch algorithm based on heuristic rules that prioritise the use of renewable technologies.…”
Section: Review Of the Model Basismentioning
confidence: 99%
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“…This section summarises the main aspects of the tool for transition path analysis introduced in Reference [9]. The model uses an hourly dispatch algorithm based on heuristic rules that prioritise the use of renewable technologies.…”
Section: Review Of the Model Basismentioning
confidence: 99%
“…Assessing the viability of a power system in the context of the energy transition requires detailed simulations in order to account for the variability in the different timescales of solar radiation, wind, rain patterns and electricity demand, among others, together with considering the constraints of the available flexible generation and storage systems. In Reference [9], an hourly-resolved tool for transition path analysis was introduced, and employed for analysing energy transition paths in Spain up to 2030. The modelling of the hydropower technology was grounded on maximum capacity together with maximum and minimum reservoir levels, disregarding other constraints affecting hydropower time series dynamics.…”
Section: Introductionmentioning
confidence: 99%
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