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Simulated co-optimization of renewable energy and desalination systems in Neom, Saudi Arabia

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  • Jefferson A. Riera

    (King Abdullah University of Science and Technology, (KAUST))

  • Ricardo M. Lima

    (King Abdullah University of Science and Technology, (KAUST))

  • Ibrahim Hoteit

    (King Abdullah University of Science and Technology, (KAUST))

  • Omar Knio

    (King Abdullah University of Science and Technology, (KAUST))

Abstract

The interdependence between the water and power sectors is a growing concern as the need for desalination increases globally. Therefore, co-optimizing interdependent systems is necessary to understand the impact of one sector on another. We propose a framework to identify the optimal investment mix for a co-optimized water-power system and apply it to Neom, Saudi Arabia. Our results show that investment strategies that consider the co-optimization of both systems result in total cost savings for the power sector compared to independent approaches. Analysis results suggest that systems with higher shares of non-dispatchable renewables experience the most significant cost reductions.

Suggested Citation

  • Jefferson A. Riera & Ricardo M. Lima & Ibrahim Hoteit & Omar Knio, 2022. "Simulated co-optimization of renewable energy and desalination systems in Neom, Saudi Arabia," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31233-3
    DOI: 10.1038/s41467-022-31233-3
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    References listed on IDEAS

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