Improving frequency containment reserve provision in run-of-river hydropower plants

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.

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Effects of weir height and reservoir widening on sediment continuity at run-of-river hydropower plants in gravel bed rivers

Geomorphology ◽

10.1016/j.geomorph.2016.07.007 ◽

2017 ◽

Vol 291 ◽

pp. 106-115 ◽

Cited By ~ 15

Author(s):

Christine Sindelar ◽

Johannes Schobesberger ◽

Helmut Habersack

Keyword(s):

Gravel Bed ◽

Hydropower Plants ◽

Gravel Bed Rivers ◽

Weir Height ◽

Run Of River

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

Journal of Energy Engineering ◽

10.1061/(asce)ey.1943-7897.0000515 ◽

2018 ◽

Vol 144 (2) ◽

pp. 04017078 ◽

Cited By ~ 1

Author(s):

Daniela Elena Gogoaşe Nistoran ◽

Cristina Sorana Ionescu ◽

Livioara Braşoveanu ◽

Iuliana Armaş ◽

Ioana Opriş ◽

...

Keyword(s):

Hydropower Plants ◽

Run Of River

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Application of LISST instrument for suspended sediment and erosive wear prediction in run-of-river hydropower plants

2018 IEEE International Conference on Industrial Technology (ICIT) ◽

10.1109/icit.2018.8352295 ◽

2018 ◽

Cited By ~ 1

Author(s):

E. A. Azrulhisham ◽

M. Arif Azri

Keyword(s):

Suspended Sediment ◽

Erosive Wear ◽

Wear Prediction ◽

Hydropower Plants ◽

Run Of River

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

Advances in Geosciences ◽

10.5194/adgeo-56-155-2022 ◽

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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Directions and Extent of Flows Changes in Warta River Basin (Poland) in the Context of the Efficiency of Run-of-River Hydropower Plants and the Perspectives for Their Future Development

Energies ◽

10.3390/en15020439 ◽

2022 ◽

Vol 15 (2) ◽

pp. 439

Author(s):

Mariusz Sojka

Keyword(s):

River Basin ◽

Dominant Role ◽

Flow Characteristics ◽

Geological Structure ◽

River Flows ◽

Low Flows ◽

Hydropower Plants ◽

Sampling Series ◽

Catchment Areas ◽

Run Of River

This paper presents changes in the flow of 14 rivers located in the Warta River basin, recorded from 1951 to 2020. The Warta is the third-longest river in Poland. Unfortunately, the Warta River catchment area is one of the most water-scarce regions. It hosts about 150 hydropower plants with a capacity of up to 5 kW. The catchment areas of the 14 smaller rivers selected for the study differ in location, size, land cover structure and geological structure. The paper is the first study of this type with respect to both the number of analyzed catchments, the length of the sampling series and the number of analyzed flow characteristics in this part of Europe. The analysis of changes in the river flows was performed with reference to low minimum, mean and maximum monthly, seasonal and annual flows. Particular attention was paid to 1, 3, 7, 30 and 90-day low flows and durations of the flows between Q50 and Q90%. In addition, the duration of flows between Q50 and Q90% were analysed. Analysis of the direction and extent of particular flow types was performed by multitemporal analysis using the Mann–Kendall (MK) and Sen (S) tests. The analysis of multiannual flow sequences from the years 1951–2020 showed that the changes varied over the time periods and catchments. The most significant changes occurred in the low flows, while the least significant changes occurred in the high flows. From the point of view of the operation of the hydropower sector, these changes may be unfavourable and result in a reduction in the efficiency of run-of-river hydropower plants. It was established that local factors play a dominant role in the shaping of river flows in both positive and negative terms, for the efficiency of the hydropower plants.

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