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• W143487890 abstract "The aim of this research is to investigate the application of nonlinear programmingtechniques to multipurpose reservoir systems. A multipurpose multiple reservoiroperation problem is a typical nonlinear large scale optimization problem. Thecurrently applied techniques overcome the nonlinearity and dimensionality problemsthrough simplification. To model the problem more closely, a successful trial is made inthis study to apply the most efficient and suitable nonlinear programming techniques.Although research in large scale nonlinear optimization has been in recent'years amajor subject of interest within the mathematical programming community, itsapplication to reservoir systems is very limited. As a result of these activities softwarepackages, as Lancelot, have been developed. Lancelot is a general purpose softwarepackage designed for solving large-scale nonlinear optimization problems. It usesAugmented Lagrangian and Conjugate Gradient methods. This software is used heresuccessfully to solve an optimization problem formulated for a major river system, theBlue Nile in Sudan. The system has two in series reservoirs used for hydropowergeneration, maintaining minimum downstream flows and irrigation. For optimization,some features of the system have been modelled. These are sedimentation,evaporation, demand and flow. To represent the effect of sedimentation a model isfitted and verified. To include the effect of evaporation a model that estimates the totalevaporation losses is fitted using Penman approach and verified using water balance.To cope with flow uncertainty the Blue Nile flow has been modelled. ARMA(1,1) hasgiven the best fitting. Irrigation requirements have been estimated using Penman-Monteith approach. Efficiency of water use has been investigated and other possibledemand scenarios resulting from efficient water use are obtained. The results of flowand demand modelling are used as direct input to the optimization model whilesedimentation and evaporation models are incorporated in the model.The objective of this model is to maximise power benefits on condition that certainirrigation and downstream requirements be met. To solve this problem a doubleprecision version of Lancelot was installed in a hp-UNIX system. For the problem a specification and a standard input format, SEF, files were written and put under thesame directory with Lancelot to run the program. The problem was solved successfullyin few minutes. The solution includes values for the objective function, decisionvariables (releases and storage volumes), penalty parameter, Lagrange multipliers andslack variables. The optimization output is affected by reservoir sedimentation.Therefore the developed optimization and sedimentation models have been linked to investigate sedimentation effect on optimization on output along the course of reservoir operation.Results have shown that this approach can be used to investigate the effect ofsedimentation on reservoir optimum output.In, a multipurpose reservoir system, the optimization output for one purpose isaffected by the efficiency of water use for other purposes. Therefore the effect ofefficient water use in irrigation on power benefits is investigated. Results have shownan increment in benefits due to using irrigation water efficiently. This approach can beapplied to systems where priority is given for one purpose over the others." @default.
• W143487890 created "2016-06-24" @default.
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• W143487890 date "1999-01-01" @default.
• W143487890 modified "2023-09-23" @default.
• W143487890 title "Application of non-linear optimisation to multipurpose reservoir systems" @default.
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