Statistical performance indices for a hydropower reservoir | Zendy

Sharad K. Jain | Zendy

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Statistical performance indices for a hydropower reservoir

Author(s) -

Sharad K. Jain

Publication year - 2009

Publication title -

hydrology research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.665

H-Index - 48

eISSN - 1996-9694

pISSN - 0029-1277

DOI - 10.2166/nh.2009.072

Subject(s) - hydropower , reliability (semiconductor) , resilience (materials science) , vulnerability (computing) , monte carlo method , environmental science , statistics , reliability engineering , hydrology (agriculture) , computer science , econometrics , mathematics , geotechnical engineering , geology , engineering , power (physics) , physics , computer security , quantum mechanics , electrical engineering , thermodynamics

Commonly employed indices to assess the performance of a storage reservoir include reliability, resilience and vulnerability. Depending upon the way in which resilience and vulnerability are computed, different values and behaviour of these are obtained. This study has examined the behaviour of statistical performance indices for a hydropower reservoir located in a semi-arid region with the aim to identify those indices which give correct and complete insight of the behaviour of the reservoir. A detailed Monte Carlo simulation analysis was carried out using synthetic data to investigate the behaviour of a number of performance measures. Uncertainty of the indices was also assessed using synthetic data. While considering the sensitivity of measures, their monotonic behaviour and uncertainty of estimates, use of time and volume reliabilities and vulnerability were found to give adequate information about the performance of the project.

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