Publication:
Optimal operation of hydropower reservoirs under climate change

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dc.citedby1
dc.contributor.authorEhteram M.en_US
dc.contributor.authorAhmed A.N.en_US
dc.contributor.authorChow M.F.en_US
dc.contributor.authorLatif S.D.en_US
dc.contributor.authorChau K.-W.en_US
dc.contributor.authorChong K.L.en_US
dc.contributor.authorEl-Shafie A.en_US
dc.contributor.authorid57113510800en_US
dc.contributor.authorid57214837520en_US
dc.contributor.authorid57214146115en_US
dc.contributor.authorid57216081524en_US
dc.contributor.authorid7202674661en_US
dc.contributor.authorid57208482172en_US
dc.contributor.authorid16068189400en_US
dc.date.accessioned2023-05-29T09:40:16Z
dc.date.available2023-05-29T09:40:16Z
dc.date.issued2022
dc.description.abstractThe current research aims to optimize the water release to generate optimal hydropower generation for the future up to the year 2039. The study�s novelty is the adaptive and nonadaptive rule curves for power production using optimization algorithms under the climate change model. In addition, the study used the RCP 8.5 scenario based on seven climate change models. A weighting method was used to select the best climate change models. The method can allocate more weights to more accurate models. The results revealed that the temperature increased by about 26% in the future, while precipitation would decreased by around 3%. The bat algorithm was also used, given it is a powerful method in solving optimization problems in water resources management. The results indicated that less power could be generated during the future period in comparison with the base period as there will be less inflow to the reservoir and released water for hydropower generation. However, by applying adaptive rule curves, the hydropower generation may be improved even under the climate change conditions. For example, the volumetric reliability index obtained when using adaptive rule curves (92%) was higher than when nonadaptive rule curves (90%) were applied. Also, the adoption of adaptive rule curves decreased the vulnerability index for the future period. Therefore, the bat algorithm with adaptive rule curves has a high potential for optimizing reservoir operations under the climate change conditions. � 2022, The Author(s), under exclusive licence to Springer Nature B.V.en_US
dc.description.natureArticle in Pressen_US
dc.identifier.doi10.1007/s10668-022-02497-y
dc.identifier.scopus2-s2.0-85134348570
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85134348570&doi=10.1007%2fs10668-022-02497-y&partnerID=40&md5=9a3005aa421cf8a25f7ef85e2b9f7bef
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27154
dc.publisherSpringer Science and Business Media B.V.en_US
dc.sourceScopus
dc.sourcetitleEnvironment, Development and Sustainability
dc.titleOptimal operation of hydropower reservoirs under climate changeen_US
dc.typeArticleen_US
dspace.entity.typePublication
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