Economic-Based Optimization of Panama Canal System Operations

Watkins, David; Moser, David A.

doi:10.1061/(asce)0733-9496(2006)132:6(503)

Cited by 16 publications

(8 citation statements)

References 12 publications

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“…These simple demand curves with only two blocks are similar to the traditional cost‐based penalty functions used in many reservoir studies where the economic costs (benefits) are assumed to be minimized (maximized) at some ideal storage levels and/or discharges [ Lund and Ferreira , 1996; Watkins and Moser , 2006]. From this assumption, any deviation from these target levels incurs some costs and must be penalized in the objective function.…”

Section: Hydro‐economic Modeling Of the Zambezi River Basinmentioning

confidence: 99%

Restoring a flow regime through the coordinated operation of a multireservoir system: The case of the Zambezi River basin

Tilmant

Beevers

Muyunda³

2010

Water Resources Research

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[1] Large storage facilities in hydropower-dominated river basins have traditionally been designed and managed to maximize revenues from energy generation. In an attempt to mitigate the externalities downstream due to a reduction in flow fluctuation, minimum flow requirements have been imposed to reservoir operators. However, it is now recognized that a varying flow regime including flow pulses provides the best conditions for many aquatic ecosystems. This paper presents a methodology to derive a trade-off relationship between hydropower generation and ecological preservation in a system with multiple reservoirs and stochastic inflows. Instead of imposing minimum flow requirements, the method brings more flexibility to the allocation process by building upon environmental valuation studies to derive simple demand curves for environmental goods and services, which are then used in a reservoir optimization model together with the demand for energy. The objective here is not to put precise monetary values on environmental flows but to see the marginal changes in release policies should those values be considered. After selecting appropriate risk indicators for hydropower generation and ecological preservation, the trade-off curve provides a concise way of exploring the extent to which one of the objectives must be sacrificed in order to achieve more of the other. The methodology is illustrated with the Zambezi River basin where large man-made reservoirs have disrupted the hydrological regime.

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Section: Hydro‐economic Modeling Of the Zambezi River Basinmentioning

confidence: 99%

Restoring a flow regime through the coordinated operation of a multireservoir system: The case of the Zambezi River basin

Tilmant

Beevers

Muyunda³

2010

Water Resources Research

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“…ResSim is serving as the reservoir systems operations component in the Corps Water Management System (CWMS) which is a modernized version of HEC water control management software system (Fritz et al 2002) accommodating several other simulation models from the HEC family. Other applications of HEC's softwares for reservoir systems operation simulation are widely reported in literature (Draper et al 2003;Jenkins et al 2004;Watkins and Moser 2006).…”

Section: Generalized Pure Simulation Modelsmentioning

confidence: 99%

Simulation–Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation

Rani

Moreira

2009

Water Resour Manage

393

199

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This paper presents a survey of simulation and optimization modeling approaches used in reservoir systems operation problems. Optimization methods have been proved of much importance when used with simulation modeling and the two approaches when combined give the best results. The main objective of this review article is to discuss simulation, optimization and combined simulationoptimization modeling approach and to provide an overview of their applications reported in literature. In addition to classical optimization techniques, application and scope of computational intelligence techniques, such as, evolutionary computations, fuzzy set theory and artificial neural networks, in reservoir system operation studies are reviewed. Conclusions and suggestive remarks based on this survey are outlined, which could be helpful for future research and for system managers to decide appropriate methodology for application to their systems.

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“…2002; McPhee and Yeh 2004; Rao et al. 2004; Watkins and Moser 2006). While these previous works have produced significant advances in understanding interactions between economic objectives and physical constraints, the complexity of the systems considered in these works has been relatively narrow.…”

Section: Iwrommentioning

confidence: 99%

“…2002; McPhee and Yeh 2004; Rao et al. 2004; Watkins and Moser 2006), with an emphasis on cost–benefit analysis of projects and operating strategies. More recently, integrated water resources optimization models (IWROM) have been developed to find optimal water allocation strategies when there is competition for water among the various use sectors.…”

Section: Introductionmentioning

confidence: 99%

“…Engineering optimization approaches have been advanced and applied to a wide range of water resources management problems for decades (see, for example, Belaineh et al 1999;Labadie 1997Labadie , 2004Lund and Guzman 1999;Mayer et al 2002;McPhee and Yeh 2004;Rao et al 2004;Watkins and Moser 2006), with an emphasis on cost-benefit analysis of projects and operating strategies. More recently, integrated water resources optimization models (IWROM) have been developed to find optimal water allocation strategies when there is competition for water among the various use sectors.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Integrated Water Resources Optimization Models: An Assessment of a Multidisciplinary Tool for Sustainable Water Resources Management Strategies

Mayer

Munoz-Hernandez

2009

Geography Compass

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Integrated water resources optimization models (IWROM) are tools that have been developed over the last decade for determining optimal water allocations among competing sectors. This article describes the state of the art of IWROMs. We illustrate the various approaches that have been taken to determine and maximize economic benefits of withdrawing water for various use categories in IWROM applications, including off‐stream human uses and in‐stream uses such as ecological flows. First, we describe the hydrologic simulators used in IWROM applications, and the mathematical methods used to solve the optimization problems. It is suggested that IWROMs (a) seek to model coupled human–nature relationships and mimic the impact of water resources management strategies on the environment at the basin scale; (b) allow for the simulation and assessment of economic policies and strategies on water resources management; (c) can support basin‐wide decision‐making; and (d) are particularly useful for water‐scarce regions. Finally, we have identify the need for improvements in (a) simulating biophysical systems; (b) handling model uncertainty; (c) inclusion of environmental flows and other relevant environmental factors through economic benefit functions; (d) accounting for social impacts related to shifts in water allocations among users; and (e) inclusion of stakeholders in the development of IWROMs.

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Economic-Based Optimization of Panama Canal System Operations

Cited by 16 publications

References 12 publications

Restoring a flow regime through the coordinated operation of a multireservoir system: The case of the Zambezi River basin

Restoring a flow regime through the coordinated operation of a multireservoir system: The case of the Zambezi River basin

Simulation–Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation

Integrated Water Resources Optimization Models: An Assessment of a Multidisciplinary Tool for Sustainable Water Resources Management Strategies

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