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The research presents an optimal planning and preliminary design model (OPD) that maximizes the net annual benefit of developing the hydropower potential of a given stream by identifying multiple optimal, non-overlapping RoR projects. For each project, the OPD model determines intake location; penstock diameter and length; and type, number, and discharge of turbines. The OPD model applies a genetic algorithm in two stages. The first stage optimizes the design of individual potentially overlapping projects densely spaced at uniform intervals along the stream and the second stage determines the…mehr

Produktbeschreibung
The research presents an optimal planning and preliminary design model (OPD) that maximizes the net annual benefit of developing the hydropower potential of a given stream by identifying multiple optimal, non-overlapping RoR projects. For each project, the OPD model determines intake location; penstock diameter and length; and type, number, and discharge of turbines. The OPD model applies a genetic algorithm in two stages. The first stage optimizes the design of individual potentially overlapping projects densely spaced at uniform intervals along the stream and the second stage determines the set of non-overlapping projects that maximizes the net hydropower benefit. Results of the OPD model compared favorably to results of previous models for a hypothetical case study. Further application of the OPD model to idealized case studies with different stream elevation profiles and with tributary flows indicated that the model gives reliable results. The OPD model was used to identify optimal RoR projects for the Guder River, Ethiopia. The OPD model identified 22 optimal RoR projects covering ~49 km of the Guder River.
Autorenporträt
Profesor asistente de la Facultad de Ingeniería de la Universidad de El Cairo.Doctorado en Ingeniería Civil - Riego e hidráulica, Universidad de El Cairo (2019). Máster en Ingeniería Civil - Riego e hidráulica, Universidad de El Cairo (2014).