 Feasibility and practical limits of full decarbonization of the electricity market with renewable energy: Application to the Spanish power sectorJavier Bonilla, Julian Blanco, Eduardo Zarza and Diego C. Alarcón-Padilla Energy, 2022, vol. 239, issue PE Abstract: Electricity market decarbonization using renewable energies is essential to significantly reduce greenhouse gas emissions. However, the identification of the optimum electrical mix for each country is a challenging and complex task because of the many boundary conditions that must be taken into account, thus demanding the use of advanced analysis and computing tools. This paper presents a methodology based on artificial intelligence developed for this purpose and the results obtained when applied to the specific case of the Spanish electricity market long-term decarbonization. It also shows how effective this methodology is to find the optimum electrical mix fulfilling previously defined objectives: 100% coverage of the demand while simultaneously minimizing the electricity cost and curtailments. Results show the significant barriers to achieve a 100% renewable electrical mix without excessive curtailments or installed power. The methodology described here is suitable for any other country and target objectives. Keywords: Greenhouse gas emissions; Electricity mix; Multi-objective optimization; Genetic algorithm (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:239:y:2022:i:pe:s0360544221026864 DOI: 10.1016/j.energy.2021.122437 Access Statistics for this article Energy is currently edited by Henrik Lund and Mark J. Kaiser More articles in Energy from Elsevier |
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