Reliability studies of multireservoir systems using stochastic techniques

A. M. Ishaq; J. M. Euseflebbe

Reliability studies of multireservoir systems using stochastic techniques

A. M. Ishaq, J. M. Euseflebbe

King Fahd University of Petroleum & Minerals

Research output: Contribution to journal › Article › peer-review

Abstract

In the case study reported herein 36 yr of stream flow records at a multireservoir system in Sri Lanka were analyzed statistically and 700 traces for each reservoir were generated stochastically and maximum releases for each month were determined knowing the reservoir capacities. Fitting an extreme value distribution to these releases, a reliability curve was obtained. These releases were then used to compute the hydroelectric power that can be generated from the reservoir system.

Original language	English
Pages (from-to)	137-144
Number of pages	8
Journal	Unknown Journal
State	Published - 1996

ASJC Scopus subject areas

General Environmental Science
General Earth and Planetary Sciences

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Reliability studies of multireservoir systems using stochastic techniques",

abstract = "In the case study reported herein 36 yr of stream flow records at a multireservoir system in Sri Lanka were analyzed statistically and 700 traces for each reservoir were generated stochastically and maximum releases for each month were determined knowing the reservoir capacities. Fitting an extreme value distribution to these releases, a reliability curve was obtained. These releases were then used to compute the hydroelectric power that can be generated from the reservoir system.",

author = "Ishaq, {A. M.} and Euseflebbe, {J. M.}",

year = "1996",

language = "English",

pages = "137--144",

journal = "Unknown Journal",

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T1 - Reliability studies of multireservoir systems using stochastic techniques

AU - Ishaq, A. M.

AU - Euseflebbe, J. M.

PY - 1996

Y1 - 1996

N2 - In the case study reported herein 36 yr of stream flow records at a multireservoir system in Sri Lanka were analyzed statistically and 700 traces for each reservoir were generated stochastically and maximum releases for each month were determined knowing the reservoir capacities. Fitting an extreme value distribution to these releases, a reliability curve was obtained. These releases were then used to compute the hydroelectric power that can be generated from the reservoir system.

AB - In the case study reported herein 36 yr of stream flow records at a multireservoir system in Sri Lanka were analyzed statistically and 700 traces for each reservoir were generated stochastically and maximum releases for each month were determined knowing the reservoir capacities. Fitting an extreme value distribution to these releases, a reliability curve was obtained. These releases were then used to compute the hydroelectric power that can be generated from the reservoir system.

UR - http://www.scopus.com/inward/record.url?scp=0030434243&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0030434243

SP - 137

EP - 144

JO - Unknown Journal

JF - Unknown Journal

ER -

Reliability studies of multireservoir systems using stochastic techniques

Abstract

ASJC Scopus subject areas

UN SDGs

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