The Cequia of Manresa is a 26-km open channel constructed in the fourteenth century that conveys water from the Llobregat River to the city of Manresa using an elevation difference of 10.4 ...

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Numerical Model for a Nineteenth-Century Hydrometric Module

Incorporating ecological requirement into multipurpose reservoir operating rule curves for adaptation to climate change

The paper presents a survey of several optimization techniques, mainly artificial intelligences (AIs) which have been applied to the reservoir operation modelling whether its single or multi-reservoir system The reservoir system modeling is essential for any nations and the optimal use of it is always asked The main objective of this review article is to discuss the potentiality of the evolutionary algorithms (EAs) and the ability to integrate with other techniques which can provide the best results Also the formulation of these types of application has described on the ground of a well known benchmark problem regarding this field The traditional algorithms got some drawbacks The study provides a complete understanding to the EA users about next generation optimal search procedure and help to overcome the drawbacks Though the background of application number of swarm intelligences is less comparatively than the genetic algorithm (GA), it provides a great scope for the researcher for further development Also comparative results with other popular methods (such as, linear programming, stochastic dynamic programming) are discussed on the basis of past research results Conclusions and suggestive remarks are made for the help of researchers and the reservoir decision makers as well

Intelligent Systems in Optimizing Reservoir Operation Policy: A Review

Improved decomposition-coordination and discrete differential dynamic programming for optimization of large-scale hydropower system

Discharge formula for rectangular sharp-crested weirs

Application of optimization techniques for determining the optimal operating policy of reservoirs is a major issue in water resources planning and management. As an optimization Genetic Algorithm, ruled by evolution techniques, have become popular in diversified fields of science. The main aim of this study is to explore the efficiency and effectiveness of genetic algorithm in optimization of multi-reservoirs. A computer code has been constructed for this purpose and verified by means of a reference problem with a known global optimum. Three reservoirs in the Colorado River Storage Project were optimized for maximization of energy production. Besides, a real-time approach utilizing a blend of online and a posteriori data was proposed. The results obtained were compared to the real operational data and genetic algorithm was found to be effective and can be utilized as an alternative technique to other traditional optimization techniques.

Optimization of Multireservoir Systems by Genetic Algorithm

The optimum values of the section variables (side slope, bottom width, flow depth, and radius) for triangular, rectangular, trapezoidal, and circular channels are computed by minimizing the cost of...

Optimal lined channel design

Computation of discharge for simultaneous flow over weirs and below gates (H-weirs)

Slit weirs designed to measure small discharges in open channel flows are investigated. Experimental data available in the literature are added to study the effect of the slit width. An explicit relation for the discharge coefficient is obtained by a conventional Reynolds number definition. The discharge coefficient is modified to increase the working range of slit weirs for small values of head to slit-width ratios.

A. Burcu Altan-Sakarya

Papers

Optimization of Multireservoir Systems by Genetic Algorithm

Discharge formula for rectangular sharp-crested weirs

Optimal lined channel design

Computation of discharge for simultaneous flow over weirs and below gates (H-weirs)

Performance of Slit Weir