Abstract
Adsorption parameters (e.g. Langmuir constant, mass transfer coefficient and Thomas rate constant) are involved in the design of aqueous-media adsorption treatment units. However, the classic approach to estimating such parameters is perceived to be imprecise. Herein, the essential features and performances of the ant colony, bee colony and elephant herd optimisation approaches are introduced to the experimental chemist and chemical engineer engaged in adsorption research for aqueous systems. Key research and development directions, believed to harness these algorithms for real-scale water treatment (which falls within the wide-ranging coverage of the Sustainable Development Goal 6 (SDG 6) 'Clean Water and Sanitation forAll'), are also proposed. The ant colony, bee colony and elephant herd optimisations have higher precision and accuracy, and are particularly efficient in finding the global optimum solution. It is hoped that the discussions can stimulate both the experimental chemist and chemical engineer to delineate the progress achieved so far and collaborate further to devise strategies for integrating these intelligent optimisations in the design and operation of real multicomponent multi-complexity adsorption systems for water purification.
Original language | English |
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Title of host publication | Artificial Intelligence, Engineering Systems and Sustainable Development |
Subtitle of host publication | Driving the UN SDGs |
Publisher | Emerald Group Publishing Ltd. |
Pages | 55-66 |
Number of pages | 12 |
ISBN (Electronic) | 9781837535408 |
ISBN (Print) | 9781837535415 |
DOIs | |
Publication status | Published - 18 Jan 2024 |
Keywords
- Adsorption
- Ant colony
- Bee
- Elephant herd
- Model parameters
- Optimisation
ASJC Scopus subject areas
- General Economics,Econometrics and Finance
- General Business,Management and Accounting