Model-Based Optimization of Downstream Impact during Filling of a New Reservoir: Case Study of Mandaya/Roseires Reservoirs on the Blue Nile River |
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Authors: | K Hassaballah A Jonoski I Popescu D P Solomatine |
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Affiliation: | (1) Ministry of Irrigation and Water Resources, Hydraulics Research Station, Wad Medani, Sudan, P.O. Box 318;(2) Department of Hydroinformatics and Knowledge Management, UNESCO-IHE Institute for Water Education, P.O. Box 3015, 2601 DA Delft, The Netherlands; |
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Abstract: | The aim of this paper is to develop a methodology based on coupled simulation-optimization approach for determining filling
rules for the proposed Mandaya Reservoir in Ethiopia with minimum impact on hydropower generation downstream at Roseires Reservoir
in Sudan, and ensuring power generation at Mandaya Reservoir in Ethiopia. The Multi-Objective Optimization (MOO) approach
for reservoir optimization presented in this paper is a combination of simulation and optimization models, which can assist
decision making in water resource planning and management (WRPM). The combined system of reservoirs is set in MIKE BASIN Simulation
model, which is then used for simulation of a limited set of feasible filling rules of the Mandaya reservoir according to
the current storage level, the inflow, and the time of the year. The same simulation model is then coupled with Multi-Objective
optimization Non-dominated Sorting Genetic Algorithm (NSGA-II), which is adopted for determining optimial filling rules of
the Mandaya Reservoir. The optimization puts focus on maximization of hydropower generation in both the Mandaya and the Roseires
Reservoirs. The results demonstrate that optimal release- (and correspondingly filling-) rules for Mandaya Reservoir which
maximize the hydropower generation in both Mandaya and Roseires reservoirs can be found. These rules are determined along
the Pareto frontier obtained by the optimization algorithm, which can serve as a decision support tool for choosing the actual
filling rule. The results also showed that the NSGA- II is an efficient and powerful tool that could assist decision makers
for solving optimization problems in complex water resource systems. |
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