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DC Field | Value | Language |
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dc.contributor.author | Mahajan, Aayushi | - |
dc.contributor.author | Singh, Lav [Guided by] | - |
dc.date.accessioned | 2022-10-10T05:15:22Z | - |
dc.date.available | 2022-10-10T05:15:22Z | - |
dc.date.issued | 2016 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/7485 | - |
dc.description.abstract | This project involves analysis of discharge data collected over a period of almost forty years to determine various parameters that are essential for determining the viability of the project as well as values that are required in the design stage . The parameters that were calculated were : 90% dependable year , Annual Generation and Installed Capacity Optimization was also done using the first two . 90% dependability gives those discharges which will be available 90% of the time during the operation of the project and hence using these discharge values the energy that we compute will be generated 90% of the time . Flood frequency studies were done using the peak flows in each year and the maximum likely flood that can occur in a certain return period was computed . this value will be used in design phase where the dam, sluices and other support structures have to be designed to hold and pass a certain amount of flood . Flood frequency analysis was done using Gumbels Method . The probability distribution adopted here was Log Pearson type-3 distribution . For example, the study of peak flows uses just the largest flow recorded each year at a gaging station out of the many thousands of values recorded. The analysis also involves the determination of probable maximum flood , which is the single greatest amount of flood that the structure will have to withstand occurring due to the worst possible storm that can occur in a given catchment . First the unit hydrograph is estimated using empirical formulae later the convolution of storm with the unit hydrograph after the addition of base flow leads to the probable maximum flood which is basically a discharge verses time graph . Flood routing studies determine the amonuts of flood that can be passed safely and the way they are to be assed using various input graphs that will be plotted | en_US |
dc.language.iso | en | en_US |
dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
dc.subject | Power potential | en_US |
dc.subject | Hydrlogical | en_US |
dc.subject | Luhri Hep | en_US |
dc.title | Power Potential and Hydrlogical Analysis of Luhri Hep Stage 1 | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Power Potential and Hydrlogical Analysis of Luhri Hep Stage 1.pdf | 2.92 MB | Adobe PDF | View/Open |
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