Optimizing Current and Future Hydroelectric Energy Production and Water Uses of the Complex Multi-Reservoir System in the Aliakmon River, Greece
| Autor: | Konstantinos Katsifarakis, Panagiotis I. Bakanos |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Irrigation
hydro energy Control and Optimization 0208 environmental biotechnology Scheduling (production processes) Energy Engineering and Power Technology 02 engineering and technology 010501 environmental sciences 01 natural sciences lcsh:Technology genetic algorithms Hydroelectricity Hydro energy Aliakmon River Electrical and Electronic Engineering Engineering (miscellaneous) 0105 earth and related environmental sciences Petroleum engineering Greece Renewable Energy Sustainability and the Environment lcsh:T Maximization multi-reservoir systems 020801 environmental engineering optimization Flood control Environmental flow Environmental science Multi reservoir Energy (miscellaneous) |
| Zdroj: | Energies, Vol 13, Iss 6499, p 6499 (2020) Energies; Volume 13; Issue 24; Pages: 6499 |
| ISSN: | 1996-1073 |
| Popis: | In this work we study long-term maximization of hydroelectric energy generation from complex multi-purpose reservoir systems, using the reservoir system of the Aliakmon River, Greece, as an application example. This system serves various purposes, like urban water supply, irrigation, hydroelectric energy production, cooling thermoelectric power plants and flood control, while preserving environmental flow. The system operator uses institutional rules for the annual scheduling of the outflows of the 2 largest reservoirs (Ilarion and Polyfyto) for additional safety and smooth distribution of energy production through the year. In this work, we focus on maximization of energy production. We have considered three different hydrological scenarios (dry, average and wet), both for the current and for anticipated future water demand. The multi-reservoir system’s operation was simulated and then optimized using a rather simple form of genetic algorithms, in order to maximize hydro energy production. All other water uses were taken into account as constraints. Our conceptual and computational approach succeeded to identify and quantify hydro energy production increase and to indicate necessary changes to the operating rule curves of the reservoirs. The methodology can be easily adapted to other large-scale multi reservoir systems. |
| Databáze: | OpenAIRE |
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