Optimizing selective withdrawal system in reservoir to manage downstream water quality and hydropower energy generation

Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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LTBD04_017

تاریخ نمایه سازی: 25 آذر 1396

Abstract:

The integrated water quality and quantity management in reservoir design and operation is the key to meet sustainable development goals while maintain ecological services and economic benefits. Selective withdrawal systems (SWS) can help adapt reservoir operation to manage and enhance downstream water quality. This research develops a surrogate based simulation-optimization approach (SBSOA) to release water from different intakes in reservoir to minimize deviations Hom standard dissolved oxygen (DO)concentration and maximize annual hydro power peak energy generation. ANN is developed to act as surrogate of time consuming CE-QUAL-W2 model in approximation reservoir outflow DO concentration. The developed surrogate model is coupled with multi-objective particle swarm optimization (MOPSO) to derive optimal SWS (locations and withdrawal ratio) in Karkheh reservoir. Optimization results for water quality and quantity management with SWS are compared to historical release model. The results show optimal SWS can help enhance release water quality compared with historical scenario

Authors

motahareh saadatpour

Assistant Professor, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran.

shima javaheri

M. Sc. Graduated Student of Civil and Environmental Engineering, College of Environment, Karaj, Alborz, Iran.