The Role of Spill and Evaporation in Reservoir Optimization Models

Celeste, Alcigeimes B.; Billib, Max

doi:10.1007/s11269-009-9468-4

Cited by 28 publications

(13 citation statements)

References 11 publications

(12 reference statements)

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“…The authors questioned the practice of adding an arbitrary allowance to the storage capacity to consider evaporation losses. Modeling evaporation and spills for the management of reservoirs has been the object of recent research (Celeste and Bilib 2009;Sivapragasam et al 2009). Opricovic (2009) proposed a compromise solution in water resource planning in a decision problem for reservoir system design of surface flows of the Mlava River and its tributaries.…”

Section: Review Of Reservoir Capacity-yield Proceduresmentioning

confidence: 99%

Modeling the Yield–Evaporation–Spill in the Reservoir Storage Process: The Regulation Triangle Diagram

Campos

2010

Water Resour Manage

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From the dimensionless reservoir water budget equation, a graphical method to model the yield-spill-evaporation loss trade-off in the reservoir storage process was built. The reservoir inflows were transformed into three parts that sum to the total mean inflow for long-term operation: evaporation, spill and yield. A regulation triangle diagram (RTD) has been proposed to provide a better understanding of the reservoir storage process as a function of reservoir capacity, hydrological river regime, evaporation and reservoir morphology. The inflows were assumed to be serially uncorrelated and to originate from a Gamma probability distribution function. The diagrams were developed using the Monte Carlo method, while the graphics were developed for intermittent rivers with a coefficient of variation of annual inflows that ranges from 0.6 to 1.6. In the model, the reservoir is a single over-year system, and the values are referenced to the steady state conditions.

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Section: Review Of Reservoir Capacity-yield Proceduresmentioning

confidence: 99%

Modeling the Yield–Evaporation–Spill in the Reservoir Storage Process: The Regulation Triangle Diagram

Campos

2010

Water Resour Manage

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“…3-10 may lead to spill occurring when the reservoir storage is below its capacity, which does not make sense. Such issue with spills in reservoir optimization models has been already discussed by the author in a previous paper published by this journal (Celeste and Billib 2010).…”

Section: Managing Spills In Arcomentioning

confidence: 77%

Reservoir Design Optimization Incorporating Performance Indices

Celeste

2015

Water Resour Manage

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This paper introduces a reservoir design optimization model adapted to incorporate performance norms so that the active storage capacity can be determined assuming that failures may occur during the reservoir operation. The model is able to find the optimal reservoir capacity admitting either a predefined minimum number of failure periods or a maximum failure magnitude, or both. It is formulated as a mixed integer linear program that properly manages reservoir spills and includes evaporation losses. The procedure performs effectively for an example problem and Monte Carlo simulations and shows that lower accepted reliabilities and higher accepted vulnerabilities require less active storage.

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“…Shiau [8] introduced the multi-period ahead hedging rule and applied the same for a reservoir system serving domestic and agricultural demands. The e ect of spill and evaporation while applying the hedging rules was studied by Celeste and Billib [19]. They found that preserving water before drought should be judged carefully, especially in the regions where the evaporation rate was high.…”

Section: Hedging Rules For Reservoir Operationmentioning

confidence: 99%

Optimization of Hedging Rules for Hydropower Reservoir Operation

Sasireka

Neelakantan

2017

Scientia Iranica

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Abstract. Reservoir operation plays an important role in economic development of a region. Hedging operations were used for municipal, industrial, and irrigation water supplies from reservoirs in the past. However, hedging operation for hydropower reservoir operation is very rare. A practically simple and useful new form of Standard Operation Policy and a new form of hedging rules for hydropower production are introduced in this paper and demonstrated with a case study for hydropower reservoir operation of Indirasagar reservoir system in India. The performance of optimal hedging rules is compared with that of a new standard operation policies and the superiority (reliability increases by about 10%) of the hedging rules is demonstrated. When the number of decision variables is increased from 5 to 15, energy production increases by 0.7%, the spill is reduced by 16.8%, and reliability slightly decreases by 2.1%. A bi-level simulation-optimization algorithm is used for optimizing the hedging rules. For optimization, Genetic Algorithm, arti cial bee colony algorithm, and imperialistic competitive algorithms are utilized. The results indicate that all the three algorithms are competitive and arti cial bee colony algorithm is marginally better than the other two.

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The Role of Spill and Evaporation in Reservoir Optimization Models

Cited by 28 publications

References 11 publications

Modeling the Yield–Evaporation–Spill in the Reservoir Storage Process: The Regulation Triangle Diagram

Modeling the Yield–Evaporation–Spill in the Reservoir Storage Process: The Regulation Triangle Diagram

Reservoir Design Optimization Incorporating Performance Indices

Optimization of Hedging Rules for Hydropower Reservoir Operation

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