scholarly journals Assessment of Failure and Repair Behaviours of the Jebba Hydroelectric Power Station

2018 ◽  
Vol 17 (3) ◽  
pp. 13-19
Author(s):  
Cornelius Temitope Thomas ◽  
Olalekan Ogunbiyi ◽  
Mudathir Funsho Akorede ◽  
Jimi Benjamin Olufeagba
Keyword(s):  
Power Generation ◽  
Hydroelectric Power Station ◽  
Hydroelectric Power ◽  
Power Station ◽  
Frequency Distributions ◽  
Basic Concepts ◽  
Set Up ◽  
Hydropower Stations

Nigeria power generation is circa 4000 MW as at October 2016, this is far less than the national required value.Jebba Hydroelectric Power Station (JHEPS) is one of the three major hydropower stations in the country which its maximumaverage generation value is still less than the rated value of 578.4 MW. This paper presented some basic concepts of analysisof failure and repair. An algorithm was set up to extract the contiguous set of up-times and down-times to determine time-tofail (TTR) and time-to-repair (TTR) events, these events were analyzed for stochastic study. It was observed that the longestup time was 262 days and seen in turbo-alternator unit five, while the shortest was zero day and seen in the entire units exceptthat of unit two. The longest downtime was 133 days and seen in the turbo-alternator of unit one, the least time-to-repair is aday and common to all the units. The frequency distributions for both TTF and TTR showed that 79% of TTF events and 57%of TTR events are distributed in the first 2 classes

Application of Fuzzy Recognition Model for the Diversion Structures Safety Evaluation at Small Hydropower Stations

2014 ◽  
Vol 687-691 ◽  
pp. 3686-3690
Author(s):  
Ming Li ◽  
Xue Feng Yu ◽  
Yuan Dong Wei
Keyword(s):  
Safety Evaluation ◽  
Hydropower Station ◽  
Hydroelectric Power Station ◽  
Hydroelectric Power ◽  
Power Station ◽  
Small Hydropower ◽  
Recognition Model ◽  
Fuzzy Recognition ◽  
Hydropower Stations

In this passage is about the safety evaluation on the conveyance structure of small hydroelectric power station. Applying Binary comparative indicators to determine the weights and fuzzy recognition model on the conveyance structure of small hydroelectric power station’s assessment. Compared other models with fuzzy recognition model which will be explained in detail in the next section on a specific small hydropower station. The results show that the fuzzy recognition model is feasible and effective on safety evaluation on the conveyance structure of the hydroelectric power station.

scholarly journals DRAIN REGULATION OF LOW-HEADED HYDRAULIC UNIT

2020 ◽  
pp. 135-144
Author(s):  
Sergey O. Ageev
Keyword(s):  
Water Flow ◽  
Water Regime ◽  
Low Pressure ◽  
Hydroelectric Power Station ◽  
Hydroelectric Power ◽  
State University ◽  
Power Station ◽  
Hydraulic Unit ◽  
Time Parameters ◽  
Set Up

The article considers possible problems for shipping, which may arise after the construction and commissioning of the Nizhny Novgorod low-pressure hydroelectric complex. By analyzing the available data on the change in navigation expenses through the Nizhny Novgorod hydroelectric power station and the predicted calculation of the water regime in the alignment of the created Nizhny Novgorod low-pressure hydroelectric system, it is ascertained in the article whether the navigable dimensions in depth are ensured in the section above and below the alignment of the NNSU during the navigation period. In order to determine the possibility of regulating runoff on a spillway of the Nizhny Novgorod State University, an experiment is set up at the Volga State Unversity of Water Transport laboratory, during which the speed and time parameters of the water flow are established. The article presents the results of the work.

Porous-concrete pipe drainage of the earth dam of the Riga Hydroelectric Power Station

1974 ◽  
Vol 8 (10) ◽  
pp. 914-916
Author(s):  
I. S. Ronzhin ◽  
A. D. Osipov ◽  
V. Kh. Gol'tsman ◽  
A. B. Yumatov
Keyword(s):  
Earth Dam ◽  
Hydroelectric Power Station ◽  
Hydroelectric Power ◽  
Power Station ◽  
Porous Concrete ◽  
The Earth ◽  
Concrete Pipe

scholarly journals The plant communities of classes Hydrochari-lemnetea Oberd. 1967 and Potametea tx. Et Prsg. 1942 of the Labudovo okno locality (Serbia)

2008 ◽  
pp. 101-107
Author(s):  
Dubravka Polic ◽  
Ruzica Igic ◽  
Slobodanka Stojanovic ◽  
Dejana Lazic
Keyword(s):  
Plant Communities ◽  
Hydroelectric Power Station ◽  
Left Bank ◽  
Hydroelectric Power ◽  
The South ◽  
Power Station ◽  
South Eastern ◽  
Dam Building

Labudovo okno locality (50 m-84 m elevation) is situated in the south-eastern part of the edge of the Pannonian Plains, resting along the left bank of the Danube between 1982 km and 1078 km. The investigated locality is the result of rise of the Danube level after dam building of the hydroelectric power station Djerdap I. The vegetation comprises aquatic associations of the classes Hydrochari-Lemnetea Oberd. 1967 and Potametea Tx. et Prsg. 1942. The class Hydrochari-Lemnetea Oberd. 1967 includes the following phytocoenoses: Lemno-Spirodeletum W. Koch 1954, Salvinio-Spirodeletum polyrrhizae Slavnic 1956, Lemno minoris-Azolletum filiculoides Br.-Bl. 1952, Ceratophylletum demersi (So? 27) Hild 1956. The class Potametea Tx. et Prsg. 1942 includes the associations Myriophyllo-Potametum So? 1934, Nympaeetum albo-luteae Nowinski 1928, Trapetum natantis M?lleret G?rs 1960.

scholarly journals Analysis of floodable areas of the Angara river

2020 ◽  
Vol 223 ◽  
pp. 03002
Author(s):  
Gachenko Andrey ◽  
Hmelnov Alexey
Keyword(s):  
Model Building ◽  
Hydroelectric Power Station ◽  
Application Software ◽  
Hydroelectric Power ◽  
Power Station ◽  
Terrain Model ◽  
Power Stations ◽  
Littoral Area ◽  
Bratsk Reservoir

In this work, the authors present a technology for riverside terrain model building that has been tested on a number of scientific projects to study the littoral area of tail race of the Irkutsk Hydroelectric Power Station and the Bratsk Reservoir. This model is used for forecasting changes in the reservoir shorelines associated with wastewater in the cascade of hydroelectric power stations. The technology described in the work was approved to solve a number of practical problems and showed its effectiveness. Specialized application software was developed and terrain data from various sources were used to specify and detail the end result.

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