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

Jefferson A. Riera, Ricardo M. Lima, Ibrahim Hoteit and Omar Knio ()
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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)

Nature Communications, 2022, vol. 13, issue 1, 1-12

Abstract: 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.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31233-3

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DOI: 10.1038/s41467-022-31233-3

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