Prediction and Simulation of Kainji Hydropower Reservoir Operation in Nigeria

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dc.contributor.authorMohammed Abdulrazaq Apalndo
dc.contributor.authorSule Bolaji Fatai
dc.contributor.authorSalami Adebayo Wahab
dc.contributor.authorAdeogun Adeniyi Ganiyu
dc.contributor.authorAyansola Ayanniyi Mufutau
dc.contributor.authorOladeji Akinola Sunday
dc.date.accessioned2025-01-28T11:56:44Z
dc.date.available2025-01-28T11:56:44Z
dc.date.issued2022-04
dc.description.abstractKainji hydropower reservoir streamflow was forecast from 2017 to 2050 using measures historical streamflow data and Markov model. The model was evaluated with statistical parameters. Various percentage of water stored in the reservoir as Ecological Flow Release (EFR) were used to simulate future generation taking hydropower equation and operational constraints into consideration. It was observed that the model forecast the sreamflow adequately with coefficient of determination (R2 ), Mean Absolute Error (MAE), Relative Bias (RB) and correlation coefficient (r) of: 0.98, 0.10, 0.002 and 0.99 respectively. Total simulated energy generation reduces as EFR percentage increases. The energy generation simulated is greater than the observed generated energy for the scenarios. The outcomes of this study can be applied to the Kainji hydropower operational management.
dc.identifier.urihttps://kwasuspace.kwasu.edu.ng/handle/123456789/3475
dc.language.isoen
dc.titlePrediction and Simulation of Kainji Hydropower Reservoir Operation in Nigeria
dc.typeArticle
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