scholarly journals Modal Analysis of a Steel Radial Gate Exposed to Different Water Levels

2017 ◽  
Vol 64 (1) ◽  
pp. 37-47 ◽  
Author(s):  
Krzysztof Brusewicz ◽  
Witold Sterpejkowicz-Wersocki ◽  
Robert Jankowski
Keyword(s):  
Modal Analysis ◽  
Power Plants ◽  
Dynamic Properties ◽  
Water Levels ◽  
Dynamic Loads ◽  
Dynamic Resistance ◽  
Hydroelectric Power ◽  
Railway Traffic ◽  
Water Gate ◽  
Radial Gate

AbstractWith the increase in water retention needs and planned river regulation, it might be important to investigate the dynamic resistance of vulnerable elements of hydroelectric power plants, including steelwater locks. The most frequent dynamic loads affecting hydroengineering structures in Poland include vibrations caused by heavy road and railway traffic, piling works and mining tremors. More destructive dynamic loads, including earthquakes, may also occur in our country, although their incidence is relatively low. However, given the unpredictable nature of such events, as well as serious consequences they might cause, the study of the seismic resistance of the steel water gate, as one of the most vulnerable elements of a hydroelectric power plant, seems to be important. In this study, a steel radial gate has been analyzed. As far as water gates are concerned, it is among the most popular solutions because of its relatively small weight, compared to plain gates. A modal analysis of the steel radial gate was conducted with the use of the FEM in the ABAQUS software. All structural members were modelled using shell elements with detailed geometry representing a real structure.Water was modelled as an added mass affecting the structure. Different water levels were used to determine the most vulnerable state of the working steel water gate. The results of the modal analysis allowed us to compare the frequencies and their eigenmodes in response to different loads, which is one of the first steps in researching the dynamic properties of steel water gates and their behaviour during extreme dynamic loads, including earthquakes.

scholarly journals Influence of digital technologies on the quality of life by modelling the risk of flooding of territories by flood waters

2021 ◽  
Vol 2094 (2) ◽  
pp. 022061
Author(s):  
Ya V Grebnev ◽  
A K Moskalev ◽  
D I Shagidulina
Keyword(s):  
Quality Of Life ◽  
Power Plants ◽  
Residential Buildings ◽  
Water Levels ◽  
System Modelling ◽  
Hydroelectric Power ◽  
Negative Consequences ◽  
Hydroelectric Power Plants ◽  
Modelling Environment

Abstract Every year, there are many floods on the planet, which have a significant impact on ensuring the safety of people and affects the quality of life. The development of modern modelling technologies makes it possible to predict various scenarios for the development of the situation and reduce the likelihood of negative consequences. This issue is especially relevant for settlements located in the immediate vicinity of hydroelectric power plants, since by regulating discharge costs from hydroelectric power plants, it is possible to safely pass flood waters avoiding flooding of residential buildings and infrastructure, but this requires knowing the flooding zones at different water levels and discharge costs. This paper presents the results of solving the problem of modelling the dynamics of flood waters within the boundaries of the settlement of Krasnoyarsk. To calculate the flooded areas, the TUFLOW program was used in the Surface-water Modelling System modelling environment, as well as neural network forecasting using the NeuroPro software product. The simulation results made it possible to predict local flooding of the settlement during the flood of 2021 and take preventive measures to reduce the risk of flooding.

scholarly journals A Conceptual Model of Groundwater Dynamics in the Catchment Area of the Zagorska Mrežnica Spring, the Karst Massif of Kapela Mountain

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1983
Author(s):  
Renato Buljan ◽  
Krešimir Pavlić ◽  
Josip Terzić ◽  
Dario Perković
Keyword(s):  
Groundwater Flow ◽  
Conceptual Model ◽  
Power Plants ◽  
Meteorological Data ◽  
Electrical Energy ◽  
Water Levels ◽  
Mountain Range ◽  
Hydroelectric Power ◽  
Dinaric Karst ◽  
Groundwater Dynamics

The investigation area is located in the world-famous Dinaric karst. This study presents a conceptual model of groundwater dynamics and its interaction with surface waters, extending from the natural water retention of the Drežničko Polje to the spring zone on the far side of the Kapela Mountain range, including a description of the regional groundwater flow in the Zagorska Mrežnica spring zone. The aim of this research was to determine the possibility of an artificial enlargement of the natural retention of this karst field. Large amounts of water could be exploited in this way for the existing hydroelectric power plants of Gojak and Lešće on the Donja Dobra River. The prolonged retention of the water wave in the Drežničko Polje would extend its efficiency in regards to the production of electrical energy, and simultaneously achieve the mitigation of floods that frequently occur in the broader area of Ogulin. Photogeological analysis of the area was performed, together with geological and hydrogeological mapping, groundwater tracing, measurements of water flows in streams and springs, exploratory drilling and measurements of water levels in 26 piezometric boreholes in the Drežničko Polje. Available meteorological data from nearby weather stations (Jasenak, Drežnica and Modruš) were exploited, as well as hydrological data collected specifically for the modelling of runoff. Based on the results of the data processing, this study has determined: (1) the dynamics of the groundwater flow from the Drežničko Polje to the spring area of the Zagorska Mrežnica, (2) the dynamics of recharge and discharge of the natural retention of the Drežničko Polje; and (3) an improved interpretation of the Zagorska Mrežnica karst spring dynamics. The obtained results of groundwater flow dynamics indicate typical karst flow conditions in the Dinaric Karst, but also contain some specific features.

scholarly journals Predicting Energy Generation Using Forecasting Techniques in Catalan Reservoirs

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1832 ◽  
Author(s):  
Raúl Parada ◽  
Jordi Font ◽  
Jordi Casas-Roma
Keyword(s):  
Water Level ◽  
Power Plants ◽  
Meteorological Data ◽  
Energy Generation ◽  
Water Levels ◽  
Electricity Production ◽  
Support Vector ◽  
Hydroelectric Power ◽  
Times Series ◽  
Forecasting Techniques

Reservoirs are natural or artificial lakes used as a source of water supply for society daily applications. In addition, hydroelectric power plants produce electricity while water flows through the reservoir. However, reservoirs are limited natural resources since water levels vary according to annual rainfalls and other natural events, and consequently, the energy generation. Therefore, forecasting techniques are helpful to predict water level, and thus, electricity production. This paper examines state-of-the-art methods to predict the water level in Catalan reservoirs comparing two approaches: using the water level uniquely, uni-variant; and adding meteorological data, multi-variant. With respect to relating works, our contribution includes a longer times series prediction keeping a high precision. The results return that combining Support Vector Machine and the multi-variant approach provides the highest precision with an R 2 value of 0.99.

scholarly journals Analytical Approach to Sampling Estimation of Underwater Tunnels Using Mechanical Profiling Sonars

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1900
Author(s):  
Vitor Augusto Machado Jorge ◽  
Pedro Daniel de Cerqueira Gava ◽  
Juan Ramon Belchior de França Silva ◽  
Thais Mancilha ◽  
Waldir Vieira ◽  
...  
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
Hydroelectric Power ◽  
Large Power ◽  
Unmanned Underwater Vehicles ◽  
Power House ◽  
Simulated Environment ◽  
Sonar Sensor ◽  
Power Plant Operation ◽  
Plant Power

Hydroelectric power plants often make use of tunnels to redirect the flow of water to the plant power house. Such tunnels are often flooded and can span considerable distances. Periodical inspections of such tunnels are highly desirable since a tunnel collapse will be catastrophic, disrupting the power plant operation. In many cases, the use of Unmanned Underwater Vehicles (UUVs) equipped with mechanical profiling sonars is a suitable and affordable way to gather data to generate 3D mapping of flooded tunnels. In this paper, we study the resolution of 3D tunnel maps generated by one or more mechanical profiling sonars working in tandem, considering synchronization and occlusion problems. The article derives the analytical equations to estimate the sampling of the underwater tunnels using mechanical profiling sonars (scanning sonars). Experiments in a simulated environment using up to four sensors simultaneously are presented. We also report experimental results obtained by a UUV inside a large power plant tunnel, together with a first map of this environment using a single sonar sensor.

Water quality impacts of small hydroelectric power plants in a tributary to the Pantanal floodplain, Brazil

2021 ◽  
Author(s):  
Rúbia Fantin Cruz ◽  
Stephen K. Hamilton ◽  
Hans M. Tritico ◽  
Ibraim Fantin‐Cruz ◽  
Daniela Maimoni Figueiredo ◽  
...  
Keyword(s):  
Water Quality ◽  
Power Plants ◽  
Hydroelectric Power ◽  
Hydroelectric Power Plants
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