Sustainability ranking of desalination plants using Mamdani Fuzzy Logic Inference Systems

Rustum, R, Kurichiyanil, AMJ, Forrest, S, Sommariva, C, Adeloye, AJ, Zounemat-Kermani, M and Scholz, M ORCID: 2020, 'Sustainability ranking of desalination plants using Mamdani Fuzzy Logic Inference Systems' , Sustainability, 12 (2) , e631.

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As water desalination continues to expand globally, desalination plants are continually under pressure to meet the requirements of sustainable development. However, the majority of desalination sustainability research has focused on new desalination projects, with limited research on sustainability performance of existing desalination plants. This is particularly important while considering countries with limited resources for freshwater such as the United Arab Emirates (UAE) as it is heavily reliant on existing desalination infrastructure. In this regard, the current research deals with the sustainability analysis of desalination processes using a generic sustainability ranking framework based on Mamdani Fuzzy Logic Inference Systems. The fuzzy-based models were validated using data from two typical desalination plants in the UAE. The promising results obtained from the fuzzy ranking framework suggest this more in-depth sustainability analysis should be beneficial due to its flexibility and adaptability in meeting the requirements of desalination sustainability.

Item Type: Article
Additional Information: ** From MDPI via Jisc Publications Router ** Licence for this article: **Journal IDs: eissn 2071-1050 **History: published 15-01-2020; accepted 13-01-2020
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: Sustainability
Publisher: MDPI
ISSN: 2071-1050
Related URLs:
SWORD Depositor: Publications Router
Depositing User: Publications Router
Date Deposited: 17 Jan 2020 14:33
Last Modified: 16 Feb 2022 03:51

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