Researchers at Novosibirsk State Technical University have developed a mathematical model designed to improve the operational efficiency of hydroelectric power plants by calculating the impact of river floodplains. The model treats floodplains as natural storage systems that retain water during floods and release it back into the river channel over time. Testing at the Novosibirsk hydroelectric station on the Ob River indicates that this approach could increase power generation without the need for mechanical modernization.
Integrating floodplain behavior into reservoir management strategies could increase electricity output by 20 percent during years of high water and 14 percent during dry seasons. Failure to account for this factor has previously led to lower generation estimates. Current calculations for the Novosibirsk plant show an optimal capacity of 300 megawatts when floodplain effects are included, whereas traditional methods without this data suggest a lower capacity of 198 megawatts. The actual output of the station currently ranges between 220 to 255 megawatts.
The application of these new calculation methods allows for a potential 10 to 20 percent increase in generation from current levels. Higher hydropower production reduces the regional dependency on coal and gas thermal power plants, which leads to lower fuel consumption and a reduction in industrial atmospheric emissions. The Novosibirsk facility has an installed capacity of 490 megawatts and produces approximately two billion kilowatt hours annually (providing essential frequency and voltage stability for the regional energy grid).
The research team intends to integrate advanced neural networks into the system to further refine forecasting. This expansion of the statistical database is expected to produce more accurate models of floodplain behavior, allowing the technology to be applied to other hydroelectric complexes in the future.
