How Much Information on Future Streamflows is Utilizable in Design and Operation of Dam Reservoirs?

Document Type : Original Article

Authors

Corresponding author-Professor, Department of Civil and Environmental Engineering, Amirkabir University of Technology

Abstract

The problem of storage-yield-reliability analysis of surface water reservoirs is a classical problem in water resources engineering. This study explores the effect of the horizon of foresight on future inflows on the minimum reservoir capacity required for meeting a specified yield. The problem is formulated as mixed integer linear programs (MILP). We analyze the role of perfect foresight assumption on future inflows by formulating the problem as a series of finite-horizon mixed integer linear programs (MILPs), each with a limited, partial foresight on future inflows. The MILPs are then solved sequentially over a long-run planning horizon for determining the minimum reservoir capacity required for meeting a specified reservoir yield at a certain level of reliability. The results indicate although it is generally true that the required reservoir capacity will increase if the foresight on future inflows becomes more limited, an opposite result is also possible to occur depending on the system's characteristics and hydrology. Moreover, knowing about future inflows does not help any more after a certain level of foresight horizon. These findings provide insight into the issue of uncertainty of future inflows and their forecasts in the design and operation of reservoir systems.

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Volume 12, Issue 4 - Serial Number 38
Special Issue on the 6th National Conference on Water Resources Management
February 2017
Pages 50-59
  • Receive Date: 24 October 2016
  • Revise Date: 03 January 2017
  • Accept Date: 03 January 2017