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Journal ArticleDOI

A two‐stage optimization model for design of a multipurpose reservoir

Fereidoun Mobasheri, +1 more
- 01 Feb 1970 - 
- Vol. 6, Iss: 1, pp 22-31
TLDR
In this paper, a mathematical model that can be useful in determining the optimum design and operation of a single multipurpose reservoir is presented, which takes into account the fact that economic returns from a project are a function of both design and operational rules.
Abstract
A mathematical model that can be useful in determining the optimum design and operation of a single multipurpose reservoir is presented. The development purposes include firm water supply, firm on-peak and dump hydropower production, flood control, and low flow augmentation. The model is based upon a two-stage optimization technique. It takes into account the fact that economic returns from a project are a function of both design and operational rules of the project. A dynamic programing algorithm which has a physical recursive equation computes the optimum operation policy of a feasible design. An iterative uniform grid sampling algorithm is then used to compare designs for which optimum operations are already determined and to select the best design. The model is applied to a hypothetical water resources project for illustrative purposes. The limitations of this mathematical model and some future research that may eliminate these limitations are discussed.

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Citations
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Journal ArticleDOI

An interval-parameter multi-stage stochastic programming model for water resources management under uncertainty

TL;DR: In this article, an interval-parameter multi-stage stochastic linear programming (IMSLP) method has been developed for water resources decision making under uncertainty, where penalties are exercised with recourse against any infeasibility, which permits in-depth analyses of various policy scenarios that are associated with different levels of economic consequences when the promised water allocation targets are violated.
Journal ArticleDOI

An inexact two-stage water management model for planning agricultural irrigation under uncertainty

TL;DR: Targeted incomes, recourse costs, and net system benefits under different scenarios are analyzed, which indicates that different policies for agricultural irrigation targets correspond to different water shortages and surplus, and thus lead to varied system benefit and system-failure risk.
Journal ArticleDOI

ITOM : an interval-parameter two-stage optimization model for stochastic planning of water resources systems

TL;DR: The modeling results indicate that an optimistic water policy corresponding to higher agricultural income may be subject to a higher risk of system-failure penalties; while, a too conservative policy may lead to wastage of irrigation supplies.
Journal ArticleDOI

Interval-parameter Two-stage Stochastic Nonlinear Programming for Water Resources Management under Uncertainty

TL;DR: In this article, an interval-parameter two-stage stochastic nonlinear programming (ITNP) method is developed for supporting decisions of water-resources allocation within a multi-reservoir system.
Journal ArticleDOI

An interval-parameter two-stage stochastic integer programming model for environmental systems planning under uncertainty

TL;DR: In this paper, an interval-parameter two-stage stochastic mixed integer programming (ITMILP) technique is developed for waste management under uncertainty, which can directly handle uncertainties expressed not only as probability density functions but also as discrete intervals.
References
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Journal ArticleDOI

Optimization of the Operation of a Multiple-Purpose Reservoir by Dynamic Programming

TL;DR: In this article, a technique of analysis is presented by which the dynamic operation policies for planning complex reservoir systems producing hydroelectric power and providing water can be optimized for the maximum return from firm water, firm power, dump water, and dump power.
Journal ArticleDOI

On the Efficient Use of High Aswan Dam for Hydropower and Irrigation

TL;DR: A mathematical model for computer studies is developed to elucidate and quantify the relations between the variables pertaining to agricultural and power uses and is designed to use standard linear programs so that operations studies can be made without recourse to sophisticated computer techniques.
Journal ArticleDOI

The optimization of single-purpose reservoir design with the application of dynamic programming to synthetic hydrology samples

TL;DR: A method is developed for determining the optimal size of a single purpose reservoir to provide carryover storage for consumptive use on a stream where inflows in successive years may be serially correlated.
Journal ArticleDOI

Optimal Policy for Reservoir Operation

TL;DR: In this article, a method is described for finding the operation that provides the optimal combination of firm on-peak energy, dump energy and firm water supply from a single multi-purpose reservoir which also provides flood and water quality control.
Journal ArticleDOI

Optimum Design of a Multiple-Purpose Reservoirs

TL;DR: A method for the optimum design of a reservoir to provide regulated water for several purposes is described that separately allocates the water to the different purposes and then allows for the use of some of the water for more than one purpose.
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