LAPSE:2025.0203
Published Article

LAPSE:2025.0203
Energy Water Nexus Resilience Analysis Using Integrated Resource Allocation Approach
June 27, 2025
Abstract
This work presents a macroscopic, high-level representation of the interconnected nexus system, utilizing a resource allocation model to capture the interactions between the power and water subsystems. The model is employed to assess the system's performance under various external stressor impact scenarios, determining the thresholds at which the system can no longer maintain a continuous supply of functional services (i.e. power and water), which reveal the system's vulnerabilities. Resilience metrics are incorporated to interpret these results and characterize the nexus performance. The proposed methodology is generalizable, and its capabilities will be demonstrated through a case study on the energy-water nexus in the Gulf Cooperation Council region.
This work presents a macroscopic, high-level representation of the interconnected nexus system, utilizing a resource allocation model to capture the interactions between the power and water subsystems. The model is employed to assess the system's performance under various external stressor impact scenarios, determining the thresholds at which the system can no longer maintain a continuous supply of functional services (i.e. power and water), which reveal the system's vulnerabilities. Resilience metrics are incorporated to interpret these results and characterize the nexus performance. The proposed methodology is generalizable, and its capabilities will be demonstrated through a case study on the energy-water nexus in the Gulf Cooperation Council region.
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Elfaki H, Lameh M, Al-Mohannadi DM. Energy Water Nexus Resilience Analysis Using Integrated Resource Allocation Approach. Systems and Control Transactions 4:327-332 (2025) https://doi.org/10.69997/sct.169557
Author Affiliations
Elfaki H: Texas A&M University, Artie McFerrin Department of Chemical Engineering, College Station, Texas, United States; Texas A&M University at Qatar, Chemical Engineering Program, Education City, Doha, Qatar
Lameh M: Texas A&M University, Artie McFerrin Department of Chemical Engineering, College Station, Texas, United States; Texas A&M University at Qatar, Chemical Engineering Program, Education City, Doha, Qatar
Al-Mohannadi DM: Texas A&M University at Qatar, Chemical Engineering Program, Education City, Doha, Qatar; Hamad Bin Khalifa University, Education City, Doha, Qatar
Lameh M: Texas A&M University, Artie McFerrin Department of Chemical Engineering, College Station, Texas, United States; Texas A&M University at Qatar, Chemical Engineering Program, Education City, Doha, Qatar
Al-Mohannadi DM: Texas A&M University at Qatar, Chemical Engineering Program, Education City, Doha, Qatar; Hamad Bin Khalifa University, Education City, Doha, Qatar
Journal Name
Systems and Control Transactions
Volume
4
First Page
327
Last Page
332
Year
2025
Publication Date
2025-07-01
Version Comments
Original Submission
Other Meta
PII: 0327-0332-1630-SCT-4-2025, Publication Type: Journal Article
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LAPSE:2025.0203
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https://doi.org/10.69997/sct.169557
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Jun 27, 2025
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References Cited
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