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  • 标题:Optimal renewable resources mix for low carbon production energy system in Morocco
  • 本地全文:下载
  • 作者:Omar Benzohra ; Sidi Salah Ech-Charqaouy ; Fouzia Fraija
  • 期刊名称:Energy Informatics
  • 电子版ISSN:2520-8942
  • 出版年度:2020
  • 卷号:3
  • 期号:1
  • 页码:1-21
  • DOI:10.1186/s42162-020-00105-9
  • 摘要:The production of electrical energy has always been a subject of debate to fight against climate change and preserve natural resources. Several countries, including Morocco, have proposed ambitious policies to develop renewable energy sources of production in the short and medium term. The major problem of renewable sources production is their intermittent nature. Using storage units, particularly PETS’ and molten salt technologies, will increase the penetration rate of renewable energies. The balance between production and consumption will optimize production, and it represents an important aspect of smart grids. In this article, an electrical energy consumption prediction was developed for the period 2019-2025, and optimization of the renewable energies injected within the grid was made by introducing the algorithm used. The results show that the use of storage units will increase the rate of renewable energies integration to 47.189% of the total installed capacity.
  • 关键词:Renewable energy;forecasting;electricity demand;demand-side management;low carbon system;optimization
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