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April 17, 2026Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy

Modeling, sensitivity analysis, and multi-objective optimization of a humidification-dehumidification-desalination system

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This research aims to model and optimize the humidification-dehumidification desalination system to enhance its efficiency and reduce costs.
Developed a complete model for pressure drops and heat/mass transfer in the humidifier and dehumidifier.
Conducted a local sensitivity analysis to identify key variables affecting cost and gain output ratio (GOR).
Introduced a new dehumidifier design to improve heat transfer and reduce water flow pressure drop.
Formulated optimization problems using a genetic algorithm and direct search method for cost and GOR.
At minimum cost, the HDH system operates at higher temperatures than under optimum GOR conditions.
The average heat transfer coefficient in the dehumidifier at minimum cost is 5.3 times that at optimum GOR.
Minimizing total cost decreased the optimal GOR cost by 89% and raised production by 121%.
Fouling reduced heat transfer efficiency by 10 to 21% and increased annual costs.
Switching from copper to stainless steel tubes cut costs by an additional 39% while maintaining the same production rate.

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Implication

Modeling reveals optimization strategies for cost and efficiency in humidification-dehumidification desalination systems, suggesting significant improvements.

Cite This Study

Ashraf Bassily (2026) studied this question.

synapsesocial.com/papers/69e1cecc5cdc762e9d857c90 https://doi.org/10.1177/09576509261435834

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Implication

Modeling reveals optimization strategies for cost and efficiency in humidification-dehumidification desalination systems, suggesting significant improvements.

Modeling, sensitivity analysis, and multi-objective optimization of a humidification-dehumidification-desalination system

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Implication

Cite This Study

Modeling, sensitivity analysis, and multi-objective optimization of a humidification-dehumidification-desalination system

Key Points

Discussion

Implication

Cite This Study

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