Modeling Hydrodynamic Changes Induced by Run-of-River Hydropower Plants along the Prahova River in Romania

2018 ◽  
Vol 144 (2) ◽  
pp. 04017078 ◽  
Author(s):  
Daniela Elena Gogoaşe Nistoran ◽  
Cristina Sorana Ionescu ◽  
Livioara Braşoveanu ◽  
Iuliana Armaş ◽  
Ioana Opriş ◽  
...  
Keyword(s):  
Hydropower Plants ◽  
Run Of River

Effects of run‐of‐river hydropower plants on fish communities in montane stream ecosystems in Serbia

2021 ◽  
Author(s):  
Predrag Simonović ◽  
Ratko Ristić ◽  
Vukašin Milčanović ◽  
Siniša Polovina ◽  
Ivan Malušević ◽  
...  
Keyword(s):  
Fish Communities ◽  
Stream Ecosystems ◽  
Hydropower Plants ◽  
Run Of River

Flow regime aspects in determining environmental flows and maximising energy production at run-of-river hydropower plants

2019 ◽  
Vol 256 ◽  
pp. 113980 ◽  
Author(s):  
Alban Kuriqi ◽  
António N. Pinheiro ◽  
Alvaro Sordo-Ward ◽  
Luis Garrote
Keyword(s):  
Flow Regime ◽  
Energy Production ◽  
Environmental Flows ◽  
Hydropower Plants ◽  
Run Of River

THE INFLUENCE OF OPERATION CONDITIONS OF HYDROELECTRIC POWER PLANTS THE CHOICE OF THE MAIN PARAMETERS OF THE SUCTION PIPES

2015 ◽  
Vol 5 (4) ◽  
pp. 86-92 ◽  
Author(s):  
Mikhail Ivanovich BALZANNIKOV
Keyword(s):  
Power Plants ◽  
Draft Tube ◽  
Operating Conditions ◽  
Hydroelectric Power Station ◽  
Geometrical Parameters ◽  
Hydroelectric Power ◽  
Operation Conditions ◽  
Hydropower Plants ◽  
Large Water ◽  
Run Of River

Considered run-of-river hydropower plants (HPP). Notes the importance of technical-economic calculations in the justifi cation of large water-conducting elements of the path these types of HPP. The methodology of economic substantiation of the expediency of increasing the length of the draft tube. Using the technique of the calculations for lowpressure hydroelectric run-of-river type. The results of the analysis of the influence of the operating conditions of the hydroelectric power station on basic geometrical parameters of draft tube.

scholarly journals Design and Optimization of a Turbine Intake Structure

10.14311/720 ◽  
2005 ◽  
Vol 45 (3) ◽  
Author(s):  
P. Fošumpaur ◽  
F. Čihák
Keyword(s):  
Power Plant ◽  
Optimal Design ◽  
Plant Location ◽  
Hydropower Plant ◽  
Total Efficiency ◽  
Design And Optimization ◽  
Hydropower Plants ◽  
Intake Structure ◽  
Run Of River

The appropriate design of the turbine intake structure of a hydropower plant is based on assumptions about its suitable function, and the design will increase the total efficiency of operation. This paper deals with optimal design of the turbine structure of run-of-river hydropower plants. The study focuses mainly on optimization of the hydropower plant location with respect to the original river banks, and on the optimal design of a separating pier between the weir and the power plant. The optimal design of the turbine intake was determined with the use of 2-D mathematical modelling. A case study is performed for the optimal design of a turbine intake structure on the Nemen river in Belarus. 

scholarly journals Dynamic Water-Level Regulation at Run-of-River Hydropower Plants to Increase Efficiency and Generation

Water ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 2983
Author(s):  
Stephan Heimerl ◽  
Niklas Schwiersch
Keyword(s):  
Water Level ◽  
Discharge Rate ◽  
Energy Transition ◽  
Operating Regime ◽  
Hydropower Plant ◽  
Optimization Approach ◽  
Hydropower Plants ◽  
Discharge Duration ◽  
Run Of River ◽  
Water Level Regulation

In times of the energy transition and the intensified expansion of renewable energy systems, this article presents an optimization approach for run-of-river power, i.e., dynamic water-level regulation. Its basic idea is to use river sections influenced by backwater more evenly via the operating regime of a hydropower plant. In contrast to conventional dam and weir water level management, the head of the reservoir is not shifted toward the weir while the discharge rate increases but is kept in position by temporarily raising the water level. This generates a greater head for higher discharge rates of an operating regime. As can be shown using an example, this has a direct effect on the performance and, in interaction with the discharge duration curve, on the annual work of the plant. The dynamic water-level regulation, thus, represents an environmentally compatible, energy-efficient optimization for run-of-river hydropower plants.

scholarly journals Day-ahead energy production in small hydropower plants: uncertainty-aware forecasts through effective coupling of knowledge and data

2022 ◽  
Vol 56 ◽  
pp. 155-162
Author(s):  
Korina-Konstantina Drakaki ◽  
Georgia-Konstantina Sakki ◽  
Ioannis Tsoukalas ◽  
Panagiotis Kossieris ◽  
Andreas Efstratiadis
Keyword(s):  
Electricity Market ◽  
Energy Production ◽  
Hydrological Regime ◽  
Power Production ◽  
Training Procedure ◽  
Small Hydropower ◽  
Hydropower Plants ◽  
Model Training ◽  
Different Levels ◽  
Run Of River

Abstract. Motivated by the challenges induced by the so-called Target Model and the associated changes to the current structure of the energy market, we revisit the problem of day-ahead prediction of power production from Small Hydropower Plants (SHPPs) without storage capacity. Using as an example a typical run-of-river SHPP in Western Greece, we test alternative forecasting schemes (from regression-based to machine learning) that take advantage of different levels of information. In this respect, we investigate whether it is preferable to use as predictor the known energy production of previous days, or to predict the day-ahead inflows and next estimate the resulting energy production via simulation. Our analyses indicate that the second approach becomes clearly more advantageous when the expert's knowledge about the hydrological regime and the technical characteristics of the SHPP is incorporated within the model training procedure. Beyond these, we also focus on the predictive uncertainty that characterize such forecasts, with overarching objective to move beyond the standard, yet risky, point forecasting methods, providing a single expected value of power production. Finally, we discuss the use of the proposed forecasting procedure under uncertainty in the real-world electricity market.

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