Optimizing hydropower generation with reservoir level management in humid regions

It is well known that water management practices can have a significant impact on the climate and hydrology of a region. As a rule, the average flow downstream decreases due to the construction of new hydropower plants and the operation of new dams, as evaporation increases in the upstream dams. However, this is not the case in every situation. This study shows that dams in humid areas such as Brazil can help to increase river flow. This phenomenon occurs due to the high humidity and low wind conditions in the region, which leads to low evaporation in the reservoirs. At the same time, full reservoirs help to maintain high humidity around the reservoirs, which increases precipitation in the catchment. To test this hypothesis, water storage and hydropower generation data from Brazilian catchments in the Southeast region were used. Reservoir data are compared with future hydropower generation to investigate the correlation between the two variables. We find that the operation of reservoirs has a significant impact on Brazilian river flows. On average, the annual hydropower potential of a catchment with a full reservoir is 111 % higher than with empty reservoirs. To increase the flow of the river, the study proposes solutions to fill the reservoirs after an energy crisis and keep the reservoirs at full capacity. • First study to analyze reservoir storage impact on hydropower generation in humid regions. • Demonstrates significant increase in river flow and hydropower potential. • Minimum reservoir levels can increase the river flow in the catchment area by up to 110 %. • Recommends optimal reservoir filling order for maximizing hydropower generation.

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Publication Details

Journal
Energy Reports
Published
2024-12-26
DOI
https://doi.org/10.1016/j.egyr.2024.12.064
Citations
4
Primary Topic
Water resources management and optimization
Type
article
Field-Weighted Citation Impact
1.34

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Optimizing hydropower generation with reservoir level management in humid regions

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article

Optimizing hydropower generation with reservoir level management in humid regions

Behnam Zakeri, Alban Kuriqi, Dorel Soares Ramos, Yoshihide Wada, Ansir Ilyas, Roberto Brandão, Marcos Aurélio Vasconcelos de Freitas, Julian David Hunt, Maurı́cio Tiomno Tolmasquim, Andreas Nascimento
article en
4 citations

Abstract

It is well known that water management practices can have a significant impact on the climate and hydrology of a region. As a rule, the average flow downstream decreases due to the construction of new hydropower plants and the operation of new dams, as evaporation increases in the upstream dams. However, this is not the case in every situation. This study shows that dams in humid areas such as Brazil can help to increase river flow. This phenomenon occurs due to the high humidity and low wind conditions in the region, which leads to low evaporation in the reservoirs. At the same time, full reservoirs help to maintain high humidity around the reservoirs, which increases precipitation in the catchment. To test this hypothesis, water storage and hydropower generation data from Brazilian catchments in the Southeast region were used. Reservoir data are compared with future hydropower generation to investigate the correlation between the two variables. We find that the operation of reservoirs has a significant impact on Brazilian river flows. On average, the annual hydropower potential of a catchment with a full reservoir is 111 % higher than with empty reservoirs. To increase the flow of the river, the study proposes solutions to fill the reservoirs after an energy crisis and keep the reservoirs at full capacity. • First study to analyze reservoir storage impact on hydropower generation in humid regions. • Demonstrates significant increase in river flow and hydropower potential. • Minimum reservoir levels can increase the river flow in the catchment area by up to 110 %. • Recommends optimal reservoir filling order for maximizing hydropower generation.

Energy ReportsVol. 13
Vienna University of Economics and Business (AT), Universidade Federal do Rio de Janeiro (BR), International Institute for Applied Systems Analysis (AT), University of Lisbon (PT), Universidade de São Paulo (BR), Montanuniversität Leoben (AT), King Abdullah University of Science and Technology (SA), Universidade Federal de Itajubá (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 19%
Water resources management and optimization
1.34
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