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Stochastic Approach to Idle Discharge from Energy Reservoir

  • W. Indyk
  • A. Potocki
Part of the Water Science and Technology Library book series (WSTL, volume 10/2)

Abstract

Energy production is the main task of most multi-purpose water reservoirs. All water should flow through the turbines to produce electricity. Any idle discharge can be compared to potential energy production, taking into account the situation where the reservoir could be prepared to handle bigger future inflows. Of course, this problem is strictly connected with the prediction of inflows to the reservoir. In many cases, daily working time of a given water power plant is related to the current reservoir capacity and a short-time deterministic inflow forecast. This forecast is usually calculated on the basis of a rainfall-runoff model or from any other simple prediction model. But bigger inflows can sometimes occur in the nearest future. These inflows may be so big that they mdemand that we should start preparing ample reservoir capacity in order to avoid possible future idle discharges of water. The paper presents how to calculate the probability estimation of future idle discharges from a given reservoir.

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References

  1. Benjamin, J. R., Cornell C. A. (1970) “Probability, Statistics, and Decision for Civil Engineers”, McGraw-Hill, Inc.Google Scholar
  2. Fleming, G. (1975) “Computer Simulation Techniques in Hydrology”, Elsevier Environmental Science Series, Elsevier Publishing Company, Amsterdam, The NetherlandsGoogle Scholar
  3. Indyk, W., Kania-Kisiel, E., Potocki, A., Slota, H. (1984) “On Structures of Repetitive Control of a Water Power Plant Reservoir”, Int. AMSE Conference “Modelling & Simulation”, vol. 3. 3, Athens, GreeceGoogle Scholar
  4. Indyk, W., Kania-Kisiel, E., Potocki, A., Slota, H. (1986) “A Decision Making Process for a Chosen Water Management System”, Int. UNESCO Symposium “Decision Making in Water Resources Planning”, vol. 1, Oslo, NorwayGoogle Scholar
  5. Kaczmarek, Z. (1970) “Statistical Methods in Hydrology and Meteorology”, Wydawnictwa Komunikacji i f,4cznosci, Warszawa, Poland (in Polish)Google Scholar
  6. Potocki, A. (1985) “An Operative Stochastic Model of a Flow Forecast”, Int. AMSE Conference “Modelling & Simulation”, vol. 4A, Monastir, TunisiaGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1994

Authors and Affiliations

  • W. Indyk
    • 1
  • A. Potocki
    • 1
  1. 1.Institute of Water Engineering and ManagementCracow University of TechnologyCracowPoland

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