Reliability concepts in reservoir design

D. Koutsoyiannis, Reliability concepts in reservoir design, Water Encyclopedia, Vol. 4, Surface and Agricultural Water, edited by J. H. Lehr and J. Keeley, 259–265, doi:10.1002/047147844X.sw776, Wiley, New York, 2005.

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[English]

A reservoir's function is to regulate natural inflows, which vary irregularly, to provide outflows at a more regular rate that is determined by water demand for one or more uses (water supply, irrigation, hydropower), temporarily storing the surplus, when inflows exceed outflows. Reservoir reliability is defined as the probability that the reservoir will perform the required function, i.e. provide the outflow required to satisfy the water demand, at a specified period of time under stated conditions. The traditional reservoir design procedures are more commonly based on empirical approaches. It is shown, however, that the reliability concept is a more rational basis, and provides easy and accurate computational procedures, for reservoir design and operation. Under some simplified assumptions, a simple explicit expression relating reservoir size, yield and reliability is extracted. This expression can be used for preliminary stages of a reservoir design. For more detailed and accurate studies, a generalized solution procedure based on stochastic simulation of inputs is outlined.

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See also: http://dx.doi.org/10.1002/047147844X.sw776

Our works that reference this work:

1. D. Koutsoyiannis, Uncertainty, entropy, scaling and hydrological stochastics, 2, Time dependence of hydrological processes and time scaling, Hydrological Sciences Journal, 50 (3), 405–426, doi:10.1623/hysj.50.3.405.65028, 2005.
2. A. Christofides, A. Efstratiadis, D. Koutsoyiannis, G.-F. Sargentis, and K. Hadjibiros, Resolving conflicting objectives in the management of the Plastiras Lake: can we quantify beauty?, Hydrology and Earth System Sciences, 9 (5), 507–515, 2005.
3. A. Langousis, and D. Koutsoyiannis, A stochastic methodology for generation of seasonal time series reproducing overyear scaling behaviour, Journal of Hydrology, 322, 138–154, 2006.
4. D. Koutsoyiannis, A toy model of climatic variability with scaling behaviour, Journal of Hydrology, 322, 25–48, 2006.
5. D. Koutsoyiannis, Older and modern considerations in the design and management of reservoirs, dams and hydropower plants (Solicited), 1st Hellenic Conference on Large Dams, Larisa, doi:10.13140/RG.2.1.3213.5922, Hellenic Commission on Large Dams, Technical Chamber of Greece, 2008.
6. A. Efstratiadis, and K. Hadjibiros, Can an environment-friendly management policy improve the overall performance of an artificial lake? Analysis of a multipurpose dam in Greece, Environmental Science and Policy, 14 (8), 1151–1162, doi:10.1016/j.envsci.2011.06.001, 2011.
7. G. Tsekouras, and D. Koutsoyiannis, Stochastic analysis and simulation of hydrometeorological processes associated with wind and solar energy, Renewable Energy, 63, 624–633, doi:10.1016/j.renene.2013.10.018, 2014.

Other works that reference this work (this list might be obsolete):

1. Rittima, A., and V. Vudhivanich, Reliability based multireservoir system operation for Mae Klong River Basin, Kasetsart Journal - Natural Science, 40(3), 809-823, 2006.
2. Hamed, K., On the implementation of Prabhu's exact solution of the stochastic reservoir equation, Advances in Water Resources, 32 (4), 594-606, 2009.
3. Srivastav, R. K., K. Srinivasan and K. P. Sudheer, Simulation-optimization framework for multi-season hybrid stochastic models, Journal of Hydrology, 404 (3-4), 209-225, 2011.
4. #Mutesi, B., A. Rugumayo and M. Kizza, Analysis of storage-estimation techniques for optimal rainwater reservoir sizing, Second International Conference on Advances in Engineering and Technology, Makerere University, Uganda, 2011.
5. Nassopoulos, H., P. Dumas and S. Hallegatte, Adaptation to an uncertain climate change: cost benefit analysis and robust decision making for dam dimensioning, Climatic Change, 114 (3-4), 497-508, 2012.
6. Hamed, K. H., A probabilistic approach to calculating the reliability of over-year storage reservoirs with persistent Gaussian inflow, Journal of Hydrology, 448-449, 93-99, 2012.
7. Campos, J. N.B., F. A. Souza Filho and H. V.C. Lima, Risks and uncertainties in reservoir yield in highly variable intermittent rivers: Case of the Castanhão Reservoir in semi-arid Brazil, Hydrological Sciences Journal, 59 (6), 1184-1195, 2014.
8. #Hamed, K. H., Stochastic reservoir analysis, Handbook of Engineering Hydrology - Fundamentals and Applications (ed. by S. Eslamian), Taylor & Francis, Boca Raton, FL, USA, 531-548, 2014.
9. Celeste, A.B., Reservoir design optimization incorporating performance indices, Water Resources Management. 29 (12), 4305-4318, 10.1007/s11269-015-1061-4, 2015.

Tagged under: Course bibliography: Stochastic methods, Course bibliography: Water Resources Management, Hydrosystems