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A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms

Reservoir operation optimisation secures benefits, such as optimising energy production while minimising the possibility of flooding, operating costs, and water scarcity, at the lowest possible cost. This paper carries reviews of research on reservoir optimisation models and the consequential challe...

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Autores principales: Lai, Vivien, Huang, Yuk Feng, Koo, Chai Hoon, Ahmed, Ali Najah, El-Shafie, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877748/
https://www.ncbi.nlm.nih.gov/pubmed/35250256
http://dx.doi.org/10.1007/s11831-021-09701-8
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author Lai, Vivien
Huang, Yuk Feng
Koo, Chai Hoon
Ahmed, Ali Najah
El-Shafie, Ahmed
author_facet Lai, Vivien
Huang, Yuk Feng
Koo, Chai Hoon
Ahmed, Ali Najah
El-Shafie, Ahmed
author_sort Lai, Vivien
collection PubMed
description Reservoir operation optimisation secures benefits, such as optimising energy production while minimising the possibility of flooding, operating costs, and water scarcity, at the lowest possible cost. This paper carries reviews of research on reservoir optimisation models and the consequential challenges of optimally operating reservoir operations. An introductory section is given to the background of reservoir operations and the current concerns on the optimal reservoir operations, for the decision-makers and stakeholders. Next, the review covered the recent ten years (between 2011 and 2021), on the recent research developments in innovation and techniques of reservoir operation optimisation. Further reviews on the conventional techniques that are the traditional methods, linear programming, nonlinear programming, and dynamic programming are discussed. Enhancements to the techniques in improving the drawbacks of the traditional techniques in optimisation of reservoir policies are next explained and evaluated. Recent advances in applying metaheuristics optimisation algorithms beneficial to the reservoir operations are explained, including the advantages and hinderances. A comprehensive tabulated and categorised review according to the classification of reservoir models, evaluation methods, and reservoir systems is given.
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spelling pubmed-88777482022-02-28 A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms Lai, Vivien Huang, Yuk Feng Koo, Chai Hoon Ahmed, Ali Najah El-Shafie, Ahmed Arch Comput Methods Eng Review Article Reservoir operation optimisation secures benefits, such as optimising energy production while minimising the possibility of flooding, operating costs, and water scarcity, at the lowest possible cost. This paper carries reviews of research on reservoir optimisation models and the consequential challenges of optimally operating reservoir operations. An introductory section is given to the background of reservoir operations and the current concerns on the optimal reservoir operations, for the decision-makers and stakeholders. Next, the review covered the recent ten years (between 2011 and 2021), on the recent research developments in innovation and techniques of reservoir operation optimisation. Further reviews on the conventional techniques that are the traditional methods, linear programming, nonlinear programming, and dynamic programming are discussed. Enhancements to the techniques in improving the drawbacks of the traditional techniques in optimisation of reservoir policies are next explained and evaluated. Recent advances in applying metaheuristics optimisation algorithms beneficial to the reservoir operations are explained, including the advantages and hinderances. A comprehensive tabulated and categorised review according to the classification of reservoir models, evaluation methods, and reservoir systems is given. Springer Netherlands 2022-02-25 2022 /pmc/articles/PMC8877748/ /pubmed/35250256 http://dx.doi.org/10.1007/s11831-021-09701-8 Text en © The Author(s) under exclusive licence to International Center for Numerical Methods in Engineering (CIMNE) 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Review Article
Lai, Vivien
Huang, Yuk Feng
Koo, Chai Hoon
Ahmed, Ali Najah
El-Shafie, Ahmed
A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms
title A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms
title_full A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms
title_fullStr A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms
title_full_unstemmed A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms
title_short A Review of Reservoir Operation Optimisations: from Traditional Models to Metaheuristic Algorithms
title_sort review of reservoir operation optimisations: from traditional models to metaheuristic algorithms
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877748/
https://www.ncbi.nlm.nih.gov/pubmed/35250256
http://dx.doi.org/10.1007/s11831-021-09701-8
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