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Artificial Intelligence Model-Based Reliability Analysis for Desalination Systems

  • Status In Progress
Academic Division

Computer Information Science

Campus

Falaj Hazaa Campus

Project Start

02/2021

Project End

07/2023

Duration

30 Months

Problem or Opportunity Description

High Energy consumption in desalination process availability and reliability of desalination systems that are used to convert saline water into freshwater. The presence of salt in the source of the water makes the desalination systems less available and reliable.


Proposed Solution

Reliability in Desalination process to improve the life cycle of the desalination system and overall increase efficiency. The Artificial Intelligence model-based reliability analysis developed to understand parameters that affect the life-cycle of equipment in the desalination system to improve the production of potable water.


Rationale for Featuring in COP 28

Water Security Energy efficiency

  • Principal Investigator Azmi Alazzam

  • Grant Type Interdisciplinary

  • Grant Amount 200000
  • Industry Partner Al Ain Distribution Company

  • Industry Sector Water

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