Optimizing the Operation of a Multiple Reservoir System in the Eastern Nile Basin Considering Water and Sediment Fluxes
Optimizing the Operation of a Multiple Reservoir System in the Eastern Nile Basin Considering Water and Sediment Fluxes

Author: Reem Fikri Mohamed Osman Digna

Publisher: CRC Press

Published: 2021-02-25

Total Pages: 195

ISBN-13: 1000202879

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The Eastern Nile riparian countries Egypt, Ethiopia and Sudan are currently developing several reservoir projects to contribute to the needs for energy and food production in the region. The Nile Basin, particularly the Eastern Nile Sub-basin, is considered one of a few international river systems with potential conflicts between riparian countries. In the absence of formal mechanisms for collaboration, the transboundary nature of this basin makes sound water resources development challenging. The large seasonal and inter-annual variability of the river flow exacerbates those challenges. A further complication is the high sediment load in the Eastern Nile rivers during the high flow season. This study contributes to fill relevant knowledge gaps through a better understanding of the methods needed for a complex system of multipurpose reservoirs, considering both water quantity and sediment load. The study quantifies the impacts of water resources development in the Eastern Nile basin and identifies system management options at both regional and country level. Developing a collaborative and unified perspective of the countries towards new projects can be beneficial for all. New operation rules are proposed for improving operation of the current system when new infrastructures are developed and operated either unilaterally or, ideally, cooperatively.

Nested algorithms for optimal reservoir operation and their embedding in a decision support platform
Nested algorithms for optimal reservoir operation and their embedding in a decision support platform

Author: Blagoj Delipetrev

Publisher: CRC Press

Published: 2020-04-30

Total Pages: 157

ISBN-13: 0429611552

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Reservoir operation is a multi-objective optimization problem, and is traditionally solved with dynamic programming (DP) and stochastic dynamic programming (SDP) algorithms. The thesis presents novel algorithms for optimal reservoir operation, named nested DP (nDP), nested SDP (nSDP), nested reinforcement learning (nRL) and their multi-objective (MO) variants, correspondingly MOnDP, MOnSDP and MOnRL. The idea is to include a nested optimization algorithm into each state transition, which reduces the initial problem dimension and alleviates the curse of dimensionality. These algorithms can solve multi-objective optimization problems, without significantly increasing the algorithm complexity or the computational expenses. It can additionally handle dense and irregular variable discretization. All algorithms are coded in Java and were tested on the case study of the Knezevo reservoir in the Republic of Macedonia. Nested optimization algorithms are embedded in a cloud application platform for water resources modeling and optimization. The platform is available 24/7, accessible from everywhere, scalable, distributed, interoperable, and it creates a real-time multiuser collaboration platform. This thesis contributes with new and more powerful algorithms for an optimal reservoir operation and cloud application platform. All source codes are available for public use and can be used by researchers and practitioners to further advance the mentioned areas.

Stochastic Optimization of Multi-reservoir Systems with Power-plants and Spillways
Stochastic Optimization of Multi-reservoir Systems with Power-plants and Spillways

Author: Bernard Lamond

Publisher:

Published: 2006

Total Pages: 10

ISBN-13: 9782895242789

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We examine a stochastic optimization model of a multiple reservoir water resource system in which the spilled outflows may have a different routing than the turbined outflows.We extend some results about the monotonicity of optimal decision rules, which were known for particular routings, and we show their validity for arbitrary routings of spilled outflows, provided they satisfy an intuitive monotonicity condition. Special cases are when the spilled outflows are expelled from the system, or when the spilled outflows are routed to the next reservoir dowstream. The monotonicity of optimal policies and of the corresponding future value function can be exploited to develop efficient computational algorithms based on a dynamic programming methodology, especially when the rewards are given by a concave, piecewise linear function of electricity generation.