Analysis of economic impact from erosive wear by hard particles in a run-of-the-river hydroelectric plant

Teran, Leonel A.; Aponte, Rodríguez; Muñoz-Cubillos, J.; Roa, C.V.; Coronado, J.J.; Ladino, Alexander; Larrahondo, F.; Rodríguez, S.A.

doi:10.1016/j.energy.2016.07.072

Cited by 33 publications

(20 citation statements)

References 13 publications

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“…It has been computationally determined that at both the optimal operational levels as well as partial loads, the pressure falls below the water's vapour pressure in the region at the outside edge of the blades, which makes them vulnerable to cavitation [1]. This also causes detachment and loss of material.…”

Section: Analysis Of the Wear Phenomenonmentioning

confidence: 99%

“…Computational Fluid Dynamics (CFD) simulations were developed to verify qualitatively the damage in the turbine components. A detailed explanation of the methodology used in this simulation is given in [1]. Fig.…”

Section: Analysis Of the Wear Phenomenonmentioning

confidence: 99%

“…One of these plants is the Amaime hydroelectric power plant, which began operation in January 2011 and has a generation capacity of 20 MW. However, 5 months after its operation began, its surfaces already exhibited wear damage, which led to increased temperatures in the driving bearings and average losses in the working efficiency of up to 30% [1]. Inspections verified that severe wear had occurred on the surfaces, which deteriorated the labyrinth seals and increased the flow of water towards the back side of the runner, which in turn increased the driving pressure by almost two bars.…”

Section: Introductionmentioning

confidence: 98%

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Failure analysis of a run-of-the-river hydroelectric power plant

Teran

Roa

Muñoz-Cubillos

et al. 2016

Engineering Failure Analysis

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Section: Analysis Of the Wear Phenomenonmentioning

confidence: 99%

Section: Analysis Of the Wear Phenomenonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

See 1 more Smart Citation

Failure analysis of a run-of-the-river hydroelectric power plant

Teran

Roa

Muñoz-Cubillos

et al. 2016

Engineering Failure Analysis

Self Cite

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“…The display is provided outside the base, which may be used to display the measurement values and may adopt a digital tube or a liquid crystal display screen and so on. [24][25][26][27][28][29][30][31][32]…”

Section: Prototypingmentioning

confidence: 99%

Development and experiment on an iron content monitor for the rapid detection of ferromagnetic wear particle in lubricating oil

Zhang

Zheng²,

Ma³

et al. 2017

Advances in Mechanical Engineering

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This article introduces a detection method and apparatus for rapid detection of the content of ferromagnetic wear particles in the lubricating oil, as well as the signal processing circuit. Moreover, an electromagnetic sensor of transformer type is used; meanwhile, the content of ferromagnetic substances in the lubricating oil is detected by the detection of changes in relevant parameters of the electromagnetic sensors based on the fact that the existence of the ferromagnetic wear particles has resulted in the changes in spatial distribution of the magnetic field. Finally, the influence of non-ferromagnetic pollutants may be eliminated and a high linearity may be achieved with low cost and good real time.

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“…Water hammer is a commonly recognized general problem in transmission penstocks, and occurs when there is an abrupt change of flow in the penstock. Some possible causes leading to water hammer include, among others, the startup (or shutdown) of hydro-turbine generator units, rapid change in transmission conditions, and opening and closure of valves [23][24][25][26][27]. Moreover, high-intensity water hammer can lead to significant damages and even disruption of the hydro-turbine governing system [28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Model validation and stochastic stability of a hydro-turbine governing system under hydraulic excitations

Chen

Tolo

et al. 2018

International Journal of Electrical Power & Energy Systems

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This paper addresses the stability of a hydro-turbine governing system under hydraulic excitations. During the operation of a hydro-turbine, water hammer with different intensities occurs frequently, resulting in the stochastic change of the cross-sectional area (A) of the penstock. In this study, we first introduce a stochastic variable u to the cross-sectional area (A) of the penstock related to the intensity of water hammer. Using the Chebyshev polynomial approximation, the stochastic hydro-turbine governing model is simplified to its equivalent deterministic model, by which the dynamic characteristics of the stochastic hydro-turbine governing system can be obtained from numerical experiments. From comparisons based on an operational hydropower station, we verify that the stochastic model is suitable for describing the dynamic behaviors of the hydro-turbine governing system in full-scale applications. We also analyze the change laws of the dynamic variables under increasing stochastic intensity. Moreover, the differential coefficient with different values is used to study the stability of the system, and stability of the hydro-turbine flow with the increasing load disturbance is also presented. Finally, all of the above numerical results supply some basis for modeling efficiently the operation of large hydropower stations.

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Analysis of economic impact from erosive wear by hard particles in a run-of-the-river hydroelectric plant

Cited by 33 publications

References 13 publications

Failure analysis of a run-of-the-river hydroelectric power plant

Failure analysis of a run-of-the-river hydroelectric power plant

Development and experiment on an iron content monitor for the rapid detection of ferromagnetic wear particle in lubricating oil

Model validation and stochastic stability of a hydro-turbine governing system under hydraulic excitations

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