Carbon-Free Electricity Generation in Spain with PV–Storage Hybrid Systems

Jesús Fraile Ardanuy, Roberto Alvaro-Hermana, Sandra Castano-Solis, Julia Merino

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
5 Downloads (Pure)

Abstract

Climate change motivated by human activities constitutes one of the main challenges of this century. To cut carbon emissions in order to mitigate carbon’s dangerous effects, the current energy generation mix should be shifted to renewable sources. The main drawback of these technologies is their intermittency, which will require energy storage systems to be fully integrated into the generation mix, allowing them to be more controllable. In recent years, great progress to develop an effective and economically feasible energy storage systems, particularly motivated by the recent rise of demand for electric transportation, has been made. Lithium-ion (Li-ion) battery prices have fallen near 90% over the past decade, making possible the affordability of electric vehicles and transforming the economics of renewable energy. In this work, a study on storage capacity demand previously presented as conference paper is expanded, including a deep analysis of the Spanish generation mix, the evaluation of the energy storage requirements for different low-carbon and carbon-free scenarios in Mainland Spain, and the calculation of the CO2 emissions’ reduction and the associated storage costs.
Original languageEnglish
Article number4780
Pages (from-to)4780
Number of pages1
JournalEnergies
Volume15
Issue number13
DOIs
Publication statusPublished - 29 Jun 2022

Keywords

  • Energy storage
  • Power systems
  • Solar power generation
  • Pumped storage generation
  • Battery storage plants
  • Carbon emission-free
  • Renewable energy
  • Generation mix
  • Lithium-ion battery

Project and Funding Information

  • Project ID
  • info:eu-repo/grantAgreement/EC/H2020/957779/EU/greEN Energy hUbs for local integRated energy cOmmunities optimizatioN/eNeuron
  • Funding Info
  • This research was partially funded by eNeuron Project from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement number 957779.

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