this paper presents a relatively new management model for the optimal design and operation of irrigation water pumping systems. the model makes use of the newly introduced particle swarm optimization algorithm. a two step optimization model is developed and solved with the particle swarm optimization method. the model first carries out an exhaustive enumeration search for all feasible sets of p...

i ACKNOWLEDGEMENTS I am thankful to my Committee Members for their contributions to this dissertation. I am most grateful to my major Professor, Jay Lund, for his enthusiastic guidance and endless ideas during these four years. His sense of humor contributed to having a pleasant work environment. I am indebted to Professor Richard Howitt for his valuable comments and for providing the computati...

Currently, studies on hydropower systems operations primarily focus on multiple uses of water, i.e., water resources exploitation and control systems to satisfy human needs and demands connected to economic and social activities. Focuses include power generation, urban and industrial water supply, irrigation, navigation, leisure and recreation-related uses, flood control and water pollution con...

A novel multi-objective simulation-optimization (S-O) framework for flood mitigation in a river-reservoir system with multiple reservoirs and control points is proposed. Different combinations of objectives regarding flood mitigation in one or more of the reservoirs and/or one or more of the control points can be specified within the framework, namely, (1) maximizing the flood releases from the...

Reservoi r operation optimization (ROO) is a complicated dynamical ly constrained nonlinear problem that is important in the context of reservoir system operation. In this study, parallel deterministic dynamic programming (PDDP) and a hierarchic al adaptive genetic algorithm (HAGA) are proposed to solve the problem, which involves many conflicting objectives and constraints. In the PDDP method,...

One of the mostly used enhanced oil recovery methods is the injection of water or gas under pressure to maintain or reverse the declining pressure in a reservoir. Several parameters should be optimized in a fluid injection process. The usual optimizing methods evaluate several scenarios to find the best solution. Since it is required to run the reservoir simulator hundreds of times, the process...

Ant Colony Optimization (ACO) algorithms are basically developed for discrete optimization and hence their application to continuous optimization problems require the transformation of a continuous search space to a discrete one by discretization of the continuous decision variables. Thus, the allowable continuous range of decision variables is usually discretized into a discrete set of allowab...

Imha Reservoir has both a water transfer tunnel connecting Andong and selective withdrawal facility (SWF), which enable the innovative operation of reservoir. Although these facilities had not been equipped when constructed in 1993, structural measures were applied afterward as needed for effective reservoir operation. The was 2015 to minimize spillway discharge during floods by moving other wi...

Aiming at the problem that traditional optimal operation of hydropower reservoir pays little attention to ecology, an optimal operation model of multi-objective hydropower reservoir with ecology consideration is established which combines the ecology and power generation. The model takes the maximum annual power generation benefit, the maximum output of the minimal output stage in the year and ...

This paper presents the use of numerical simulations coupled with optimization techniques in oil reservoir modeling and production optimization. We describe three main components of an autonomic oil production management framework. The framework implements a dynamic, data-driven approach and enables Grid-based large scale optimization formulations in reservoir modeling.