Next Article in Journal
Rotating Microtab Implementation on a DU91W250 Airfoil Based on the Cell-Set Model
Next Article in Special Issue
Collaborative Allocation of Energy Consumption, Air Pollutants and CO2 Emissions in China
Previous Article in Journal
Youth Participation in Agriculture: A Scoping Review
Previous Article in Special Issue
Agricultural Land or Photovoltaic Parks? The Water–Energy–Food Nexus and Land Development Perspectives in the Thessaly Plain, Greece
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Lost Energy of Water Spilled over Hydropower Dams

Faculty of Energy Technology, University of Maribor, Hočevarjev trg 1, 8270 Krško, Slovenia
*
Author to whom correspondence should be addressed.
Sustainability 2021, 13(16), 9119; https://doi.org/10.3390/su13169119
Submission received: 30 June 2021 / Revised: 9 August 2021 / Accepted: 10 August 2021 / Published: 14 August 2021
(This article belongs to the Special Issue Energy Management for Sustainable Development)

Abstract

:
The present paper presents a view of water spilled over hydropower plants as an energy loss. In the current climate conditions, flood events are becoming more frequent due to human impact on the environment; water spills are also more frequent, which means more and more energy is lost. How much water is spilled and, consequently, how much energy is lost is shown in the present article on the chain of power plants on the Sava River in the five years from 2015 to 2019. An analytical assessment of the current situation in the lock was carried out, which showed that the available water through the locks could be used efficiently. The paper presents a case study of one overflow event lasting 48 h. The calculated theoretical losses of energy (of spilled water) and possible technical implementation for capturing losses are given. The proposed technical implementation is based on established technology, so we could expect that the approach is feasible. The results show that the estimated spilled water energy potential reaches about 40% of the actual spilled water or energy lost.

1. Introduction

To combat climate change and fulfill the Paris Agreement’s goals, the European Union (EU) set binding climate and energy targets for 2030. They are reducing greenhouse gas emissions by at least 40%, increasing energy efficiency by at least 32.5%, increasing the share of renewable energy to at least 32% of EU energy use, and guaranteeing at least 15% electricity inter-connection levels between neighboring Member States, [1,2]. To help reach the Paris Climate Agreements and Sustainable Goals, widespread renewable energy sources are crucial [3,4]. One of those sources is hydroelectric power plants, a renewable energy source that aids in the reduction of greenhouse gasses [5,6,7,8,9].
Due to climate change, natural disasters, including floods, are becoming more frequent [10,11,12,13,14,15]. Floods result from the overflow of rivers and streams and affect the operating regime of hydroelectric power plants. In fact, during flood events, hydropower plants must spill water over dams to maintain safe operation, particularly the stability and strength of the dam structure, and to protect hydraulic machines exposed the effects of water debris. From an energy point of view, any spilled water is an irrecoverable loss of energy. Many releases and environmental impacts resulting from the unrestricted exploitation of natural resources are showing their consequences. One consequence is the release of a high amount of natural water energy (such as heavy rain) in a short amount of time. With the equipment installed, we cannot process such a large amount of water, resulting in energy loss.
Excessive amounts of water that cannot be carried along existing hydraulic waterways through turbines should be spilled over the gate of the discharge paths of the hydropower plant. Furthermore, turbine fields often have to be stopped or closed due to water debris (mud, small stones, and wood pieces), which further increases the amount of spilled water. In addition, debris and ground transport of solid particles along the river bottom threatens the hydropower plant operation. Of course, much depends on the riverbed structure and the design in front of the dam. If suspended sediments occur and solid particles are transferred to the ground, the turbine fields should be stopped or closed to protect the equipment. Consequently, electricity production must be halted. Excess water is handled with jumps, drain valves, side drains, or other constructed safety structures. In the following chapters, we focus on the overflow of water over dams (upper discharge) in the chain of hydroelectric power plants on the Sava River in the southern part of Slovenia.
The reason we assessed these losses is in the character of the Sava River, which is a typical sub-Alpine river [16]. Flood events are more frequent in the Spring, when the snow melts in the Alps, and in Autumn when heavy rainfalls occur. The flow rates are often too large for the installed capacity of the existing hydropower plants. Therefore, we attempted to estimate these losses and to determine a way to reduce them. With the added installed capacity, we could increase the existing production and thus reduce the import of electricity to Slovenia.

Review of Published Studies

A review of the literature revealed few contributions addressing the topic. Most articles focus on optimal hydropower plant capacity determination based on a flow duration curve. Liucci et al. [17] present a study that finds a strong influence on the characteristics of two parameters: the overflow regime and extreme events caused by weather conditions on electricity production. Reichl and Hack [18] deal with calculating the flow duration curve during several precipitation and impacts on the groundwater level; however, energy production or losses due to water overflow were not addressed. Duratorre et al. [16] demonstrated that hydropower potential until the end of the century will increase, and the energy production would depend upon changes on a monthly scale rather than upon yearly flows. The future of hydrology is unpredictable, with more fluctuations in a shorter period.
Our paper focuses on the unused potential of spilled water, considering it as energy loss that occurs more often because of the effect of climate changes. We believe that such a contribution will guide hydropower plant operators to consider the feasibility of energy capture of spilled water.
To our knowledge, it is the first time that the hydropower potential of spilled water has been studied.

2. Materials and Methods

Hills surround the region of the Sava River, which is located between the village Boštanj and the city Brežice in Slovenia (Figure 1). It is riddled with numerous permanent streams as well as intermittent springs and streams. In most cases, the river channel is straightening or changing direction duo to urban development. Intensive peak flows are observed several times a year, sometimes resulting in flooding of inhabited areas. In Slovenia, on the Sava River, four hydropower plants are installed and one is planned (Figure 1). These are, in the direction of flow, HPP Boštanj, HPP Arto-Blanca, HPP Krško, and HPP Brežice. The last one, HPP Mokrice, is planned for construction in the coming years. The chain of HPPs are operating at instaled conditions, meaning with river flow rates up to Qi = 500 m3/s. The accumulation basins of the HPP Brežice and HPP Mokrice have the role of equalizing the daily Sava water flow variability from upstream HPPs. It is also possible to overflow excess water during extreme river flows through installed safety structures (bypass overflow fields) in front of HPP Brežice and HPP Mokrice. HPPs Boštanj, Arto-Blanca, and Krško have no large reservoirs, so all three hydroelectric power plants are of the run-of-the-river type.
The 32.5 MW HPP Boštanj (Figure 2a) is a hydroelectric power plant of the run-of-the-river and reservoir type, with three bulb-type turbines with a capacity of 10.84 MW each. The hydropower plant has a combined rated discharge of 500 m3/s, an average flow of 193 m3/s, a head of 7.47 m, 5 spillways, and an average annual production output of 109 GWh. The reservoir capacity is 8,000,000 m3 with live storage of 1,170,000 m3 [20].
The 39.12 MW HPP Arto-Blanca (Figure 2b) is a hydroelectric power plant of the run-of-the-river and reservoir type, with three vertical Kaplan turbines with a capacity of 13.04 MW each. The hydropower plant has a combined rated discharge of 500 m3/s, an average annual flow of 201 m3/s, a head of 9.29 m, 5 spillways, and an average annual production output of 148 GWh. The reservoir capacity is 9,950,000 m3 with live storage of 1,300,000 m3 [20].
The 39.12 MW HPP Krško (Figure 3a) is a hydroelectric power plant of the run-of-the-river and reservoir type, with three vertical Kaplan turbines with a capacity of 13.04 MW each. The hydropower plant has a combined rated discharge of 500 m3/s, an average annual flow of 205 m3/s, a head of 9.14 m, 5 spillways, and an average annual production output of 146 GWh. The reservoir capacity is 6,310,000 m3 with live storage of 1,180,000 m3 [20].
The 47.4 MW HPP Brežice (Figure 3b) is a hydroelectric power plant of the run-of-the-river and reservoir type, with three vertical Kaplan turbines with a capacity of 15.8 MW each. The hydropower plant has a combined rated discharge of 500 m3/s, an average annual flow of 207 m3/s, a head of 11 m, 5 spillways, and an average annual production output of 161 GWh. The reservoir capacity is 19,300,00 m3 with live storage of 3,400,000 m3 [20].
The planned 28.05 MW HPP Mokrice (Figure 4) will be a hydroelectric power plant of the run-of-the-river and reservoir types, with three tubular Kaplan turbines with a capacity of 9.35 MW each. The hydropower plant will have a combined rated discharge of 500 m3/s, an average annual flow of 261 m3/s, a head of 7.47 m, 5 spillways, and an average annual production output of 131 GWh. The reservoir capacity will be 8,300,000 m3 with live storage of 3,400,000 m3 [20].

3. Data Review and Results

Data on the water level and spilled water in individual hydropower plants were collected between 2015 and 2019 [21]. The volume of spilled water, the number of spilled events, and the estimated energy loss are summarized in Table 1. A large volume of water in a given period was spilled at HPP Krško, precisely 4,272,865,479 m3. The official opening of HPP Brežice was in September 2017; consequently, the monitored period for HPP Brežice is only two years (2018–2019). In the monitoring period, 3316 h of overflows were recorded. The share of spilled water is also increasing: the ratio of spilled water with the total volume of water and on average at all four hydropower plants is 12.5% (Table 1).
Figure 5, Figure 6, Figure 7 and Figure 8 show overflow flows (size and duration) in individual hydropower plants. Data is available from 2015 to 2020, except for HPP Brežice, for which data is recorded in 2018 and 2019. High river flow-rates (peaks) are in the Spring and Autumn. During these periods, the energy loss for all hydropower plants due to spilled water sums up to 372,354 MWh (Table 1).
Figure 6, Figure 7 and Figure 8 show the time and quantities (flows) of spilled water from 2015 to 2019. The increase in flow in Spring and Autumn and the minimum flow in Summer are given. Interestingly, the emission times between individual years in the observed period match well, but they are not the same between years and between hydroelectric power plants, although they stand on the same river. That can be explained by the different operating regimes of individual hydropower plants, which consider local environmental factors, such as different bottoms, shoreline widths, and the banks’ state.

Data Analysis

Figure 9 shows the annual volume of water of the Sava River from a hydrological station of the Slovenian environment agency (ARSO) near HPP Brežice in the 1990–2019 period [22]. The used data consist of daily averaged flow rates.
The data used for the graph in Figure 10 consist of hourly averaged flow rates in the 2015–2019 period [21]. The volume of spilled water is calculated from the flow rate data for individual HPPs. The difference in the amount of spilled water between HPPs is due to different reservoirs capacities and operating regimes.
The graph in Figure 11 shows the number of spilled water events for each HPP. Spilled water events are determined from river flow rates larger than the installed capacitiy on an individual HPP.
This amount of spilled water could be used with a “small” hydropower system with a built-in capacity of up to 10 MW (according to Slovenian legislation), and the average price would be EUR 43.58/MWh [23]. Prices from 2015 to 2019 ranged between EUR 34.46 and EUR 48.43/MWh [23]. At these prices, the potential loss in these five years would amount to EUR 11.5 million, or EUR 2.3 million per year (calculated for five years, including HPP Brežice). Given the occasional small hydropower plant, subsidized electricity prices for small producers could be eligible up to an installed capacity of 10 MW, which means that such capacity could cover the vast majority of outflows, except for the extreme (most significant), which would still largely overflow (be lost). From an economic point of view, it is pointless to have such large installed capacity units, which could only occasionally be used at full power.

4. Possible Solutions and New Proposal

Most operators today are taking into account weather forecasts and preparing in advance for higher river flows. In an article by Ahmad et al. [24], we find proposals to adjust the performance based on the hydrological model from 1 to 16 days in advance and optimize production. Weather conditions in the entire vicinity of the river basin and the “source” runoff area must be taken into account. Weather conditions and forecasts must be closely monitored in advance and the water level of hydropower plants adjusted accordingly.
The technical solutions proposed by Hunt et al. [25] are possible solutions; the authors primarily focused on harnessing the kinetic energy of spilled water. The proposed idea is interesting but is feasible only during construction or with a reconstruction of the dam. In the rest of the article, we focus on possible upgrades to existing hydropower systems, such as the use of Steff turbines [26] or similar designs of smaller low-head turbines [27].
The combination of the two previously proposed solutions, i.e., taking into account the water level and weather conditions and the forecasts for a large area, could be the reference for upgrading the existing hydropower system. The most appropriate combination of energy use of overflow water could be implemented without significant construction work in the hydropower plant. The weather conditions and the forecast have already been implemented. The emphasis is on the use of overflow water, and the overflow in HPP Krško has been partially evaluated.

4.1. Implementation Proposal—A Case Study on the HPP Krško Spillway

Technical data of the one overflow field of HPP Krško:
The width of the overflow field: b = 15 m
Height (nominal drop): Y + H = 9.14 m
As an example of the overflow, we consider one from 23 May 2015 from 00:00 to 25 May 2015 to 00:00, 48 h in total, as shown in Figure 12.
We treated the flow conditions over the gate as an overflow over a narrow barrier (Figure 13), for which we can formulate the energy equation. If the velocity head at point 2 above the weir crest is assumed to equal the total head upstream, then we may use Bernoulli’s equation, considering no losses:
V 2 2 2 g + H h V 1 2 2 g + H ,
from which the velocity at point 2 is approximately:
V 2 ( h ) 2 g h + V 1 2 ,
where h is the vertical distance to point 2, as shown in Figure 13. If we assumed that the flow over the crest declines to h m i n H 3 , then the specific volume flow rate up to the weir width b is q = Q / b or approximately:
q = c r e s t V 2 d h H / 3 H 2 g h + V 1 2   d h = 2 3 2 g [ ( H + V 1 2 2 g ) 3 / 2 ( H 3 + V 1 2 2 g ) 3 / 2 ] ,
Usually, the upstream velocity head V 1 2 / 2 g , in front of the weir (sharp-crest), is neglected. With this, the Equation (3) is reduced to:
q 0.81 ( 2 3 ) 2 g H 3 / 2 ,
The calculated coefficient of 0.81 in Equation (4) is, in practice, too high [28]. From our experience, based on experimental measurements on laboratory models of overflow gates [29], we estimate this coefficient to be around 0.7, which should be accurate enough for our case.
From the equation:
Q w e i r b = q 0.7 ( 2 3 ) 2 g H 3 2 = 2.07 H 3 2 ,
One can calculate:
H = ( Q w e i r 2.07   b ) 2 / 3 ,
where:
Q w e i r = Q s p i l l   w a t e r n g a t e s ,
where n g a t e s × (number of spill water gates) in our case: n g a t e s = 5 , at HPP Krško. The results of the calculated water heads and velocity (at point 2, Figure 13) over the crest are given in Figure 14.
The average values will be used for further calculations: the flow velocity over the weir is around 2 m/s, the head is 0.8 m, and the average flow rate over the weir is approximately 28 m3/s (Table 2).
To capture this “waterfall” energy, we propose the use of the Steff turbine (Figure 15) [26]. The crucial part of this turbine is the conveyor chain on which the profiled paddles are mounted. Available hydraulic energy is converted to mechanical/rotational energy and then into electric energy by a generator. The water weight is utilized, which produces the downhill force F over the conveyor chain of length L that is inclined at an angle.
The driving torque is defined by multiplying downhill force with lever arm R between the paddle center and the shaft:
T = ρ g L A ε R sin α   ,
where ρ is the water density, g is the gravity acceleration, A is the paddle surface area (paddle height times conveyor width), and ε is the filling coefficient of the cell area relative to the paddle area. This filling factor can be determined in our case from the weir flow rate and angular speed, while the circumferential velocity is:
u = ω R = Q w e i r ε   A ,
Since the weir flow rate is also equal to:
u Q w e i r = V 2 A = V 2 H b ,
then the circumferential velocity from Equation (9) becomes:
u = V 2 A ε   A = V 2 ε   ,
In the case of hydraulic turbines (Pelton, Kaplan, waterwheels, etc.), it is known that the circumferential velocity is:
u V 2 2 ,
Combining Equations (11) and (12), the filling coefficient becomes constant:
ε = V 2 u = V 2 V 2 2 2 ,
With the filled coefficient, the theoretical driving torque becomes:
T d r i v e = ρ g L A 2 R sin α ,
and theoretical turbine power is:
P t u r b , t h = ω T d r i v e ,
The creators of the Steff-turbine performed efficiency measurement on a 10 kW model at the University of German Armed Forces in Munich. They measured the efficiency rate of 0.7 up to 0.9, depending on the inclination angle and flow rates [26]. For small angles ( α ), a higher efficiency is observed. In our case, the angles between 30 to 45 degrees are of interest, so the turbine efficiency is in the range of 0.8 up to 0.85. For our application we take turbine efficiency ηturbine = 0.825, and the expected turbine power is thus:
P t u r b , t h = ω T d r i v e η t u r b = ω T d r i v e   0.825 ,

4.2. Defining the Basic Geometry of the “Reverse Steff-Turbine”

Regarding the mean head determined from the weir flow rate (Table 2), H m e a n = 0.82   m , we chose the paddle a little bit higher:
paddle height: H p a d d l e = 0.9   m ;
with weir width: b = 15   m .
The paddle area is:
A = H p a d d l e b ,
A = H p a d d l e b = 0.9 × 15 = 13.5   m 2 ,
Regarding the mean velocity determined from the weir flow rate (Table 2), V 2 , m e a n = 1.99   m / s , we chose the larger turbine design velocity:   V 2 , d e s i g n = 2.5   m / s .
Now, the turbine rotation number is chosen— n t u r b i n e = 10   min 1 ( 0.16   s 1 ), which defines the angular velocity:
A = ω 2 π n ,
ω = 2 π × 0.16 = 1.05   rad ,
Combining Equations (9) and (12), we obtain:
u = ω   R = V 2 , d e s i g n 2 ,
and from that, the mean radius of the paddles’ center is:
R = V 2 , d e s i g n 2 ω ,
R = 2.5 2 × 1.05 = 1.2   m ,
The conveyor chain length is chosen (between drums axis), L = 6   m , and the inclination angle is α = 45 ° .
With all the assumed and chosen data, the theoretical torque is calculated:
T d r i v e = ρ g L A 2 R sin α = 999 × 9.81 × 6 × 13.5 × 2 × 1.2 sin 45 o = 1,347,149.4   Nm ,
and the power is:
P t u r b , t h = ω   T d r i v e   0.825 = 1.05 × 1,347,149.4 × 0.825 = 1,166,968.16   W ,
or
P t u r b , t h = 1.16   MW ,
There is a technical limitation to manufacture a conveyor chain with a width of 15 m, so we split one big unit into five smaller units that work in parallel. A conveyor chain width of 3 m is more flexible to implement. The technical data of the single unit will be:
  • P t h , 1   u n i t = 0.232   MW ;
  • T t h , 1 = 269,429.8 Nm;
  • n t u r b i n e = 10   min 1 .
With division from a single unit to five smaller units, additional flow loss between the belts could be expected and estimated to be 10% of unit power. Thus, for further calculations, we consider the following unit data:
  • Punit = 0.232 MW;
  • T u n i t = 242,486.8 Nm;
  • n t u r b i n e = 10   min 1 .
A schematic illustration of a possible unit behind the weir is shown in Figure 16.

4.3. Estimated Production

At the current spilled water period, the Steff turbine can operate for about 38 h. The possible production of one unit is:
W u n i t = P u n i t t p e r i o d ,
W u n i t = P u n i t t p e r i o d = 0.21 × 38 8   MWh ,
at one spill-water gate:
W s w G = W u n i t n 1 , g a t e ,
W s w G = W u n i t n 1 , g a t e 8 × 5 = 40   MWh ,
and at HPP Krško, with five spill water gates:
W s w H P P K K = W s w G n a l l ,   g a t e s = 40 × 5 = 200   MWh ,
The total theoretical energy of the spilled water for this period of 38 h is 473.8 MWh, which is calculated from a flow rate of 140 m3/s (5 times 28 m3/s) and an installed head of 9.14 m. Considering the possible energy production of spilled water over the weirs (200 MWh) and the theoretically possible production (474 MWh), we can calculate a yield of 42% with the suggested technical approach.
The total spilled water losses in the five years of all installed power plants at Sava River represent a theoretically estimated power production of 372,354.0 MWh (Table 1). If we can use around 40% of this energy, we obtain approximately 150,000 MWh in five years, or 30,000 MWh annualy. At the average electricity price of EUR 43.58/MWh [23] (for small power plant production) in the given period between 2015–2019, this results in a revenue of EUR 6,537,000 or EUR 1,307,000 per year.

5. Discussion

The economic assessment and the concern for the environment and the electricity needs of Slovenia show that it would be appropriate to use the energy of spilled water over hydropower weirs. In addition, climate change will cause more and more water spills due to the current, excessive amounts of water in riverbeds resulting from storms and heavy rains in a short time. More of such events are expected in the future [16]. Therefore, it makes sense to consider upgrading energy systems to use spilled water on existing hydropower systems. Of course, the upgrade must be physically reasonable and economically justified so that the managers or owners will decide on such upgrades. Therefore, a solution is given by choosing an already existing technology, i.e., the Steff turbine. So why the “modified” Steff turbine?
It allows the flow of debris and even larger floating pieces along the “conveyor belt” of the turbine blades. In most cases, we know that large bodies of water carry more significant amounts of sediment, which can mostly be caught in front of overflow fields, and sometimes some piece of more significant sediment passes over the dam. The advantages of the proposed technical solution with the modified Steff turbine are as follows:
  • It is robust and can be installed under the barrier on already built overflow fields;
  • It is adjustable at an angle, depending on the overflow (and the angle of the overflow field) and thus achieves optimal performance;
  • It is relatively easy to implement;
  • It can be accessed during operation with normal (installed) and low river flows;
  • It does not require extensive and complex maintenance;
  • It is cost-effective compared to other types of turbines.
From the given calculation example, i.e., the calculation of energies or possible electricity production from spilled water, it is clear that the economy allows for the construction of equipment that could capture about 40% of spilled water energy in a given case. That means that with the upgrade of the existing hydro-energy infrastructure, we could increase production. In this way, we would take advantage of unfavorable weather conditions for a sustainable and renewable electricity supply.

6. Conclusions

The authors believe the presented case study shows that spilled water over a barrier or locks could be used for energy production. All the water that does not go through the turbine track is irretrievably lost. In the future we can expect a more significant part of water to be spilled due to climate change. At the same time, the amount of spilled water is more considerable, which means that the exploitation of spilled water is becoming increasingly important. Uncertainty is, of course, expected when it comes to the projection of future hydrology and hydropower potential.
Using the available short-term data, we performed a case study with a modified technical solution and made a theoretical proposal on how to increase the efficiency of HPPs with the spilled water. The presented case study shows that there are economically and technically feasible reasons for upgrading existing hydropower systems. Doing so brings a double benefit: firstly, higher energy production and secondly, the use of unfavorable weather conditions for additional operation, which is not possible with classic implementations of hydro-energy infrastructures.
Due to climate change, extreme events are on the rise and are projected to increase in the medium term. The daily flow rates tend to oscillate more, so we need to be prepared and take advantage of these events where possible and justified. Although the article discusses the measured data at a specific location, we believe that the results can be calculated and generalized to other regions where similar problems occur.
As we need more electricity for community self-sufficiency while reducing our carbon footprint, the existing energy system must be as efficient as possible and use all available resources. One option may be to use water spilled over hydropower dams.

Author Contributions

Conceptualization, A.P.; methodology, A.P.; validation, M.F. and M.P.; formal analysis, G.H.; writing—original draft preparation, A.P.; writing—review and editing, A.P., M.F., M.P. and G.H.; All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors thank the director of the lower River Sava power plants company (HESS d.o.o.), Bogdan Barbič, for providing measurements of the water level at their power plants in the period between 2015 and 2019.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. European Commision. Summary of the Commission assessment of the draft National Energy and Climate Plan 2021–2030. Available online: https://ec.europa.eu/energy/sites/ener/files/documents/necp_factsheet_si_final.pdf (accessed on 16 May 2021).
  2. Martin, R. Cambridge Econometrics, Ecorys-Nei. A Study on the Factors of Regional Competitiveness: Report for the European Commission DG Regio 2003. Available online: https://ec.europa.eu/region-al_policy/sources/docgener/studies/pdf/3cr/competitiveness.pdf (accessed on 16 May 2021).
  3. Gielen, D.; Boshell, F.; Saygin, D.; Bazilian, M.D.; Wagner, N.; Gorini, R. The role of renewable energy in the global energy transformation. Energy Strat. Rev. 2019, 24, 38–50. [Google Scholar] [CrossRef]
  4. Abolhosseini, S.; Heshmati, A.; Altmann, J. The Effect of Renewable Energy Development on Carbon Emission Reduction: An Empirical Analysis for the EU-15 Countries. IZA Discussion Paper. 7989. February 2014. Available online: http://ftp.iza.org/dp7989.pdf (accessed on 16 May 2021).
  5. Bayazıt, Y. The effect of hydroelectric power plants on the carbon emission: An example of Gokcekaya dam, Turkey. Renew. Energy 2021, 170, 181–187. [Google Scholar] [CrossRef]
  6. Li, J.; Wang, Z.; Wu, X.; Ming, B.; Chen, L.; Chen, X. Evident response of future hydropower generation to climate change. J. Hydrol. 2020, 590, 125385. [Google Scholar] [CrossRef]
  7. Hondo, H. Life cycle GHG emission analysis of power generation systems: Japanese case. Energy 2005, 30, 2042–2056. [Google Scholar] [CrossRef]
  8. Nautiyal, H.; Goel, V. Sustainability assessment of hydropower projects. J. Clean. Prod. 2020, 265, 121661. [Google Scholar] [CrossRef]
  9. Bello, M.O.; Solarin, S.A.; Yen, Y.Y. The impact of electricity consumption on CO2 emission, carbon footprint, water footprint and ecological footprint: The role of hydropower in an emerging economy. J. Environ. Manag. 2018, 219, 218–230. [Google Scholar] [CrossRef] [PubMed]
  10. Qin, P.; Xu, H.; Liu, M.; Xiao, C.; Forrest, K.E.; Samuelsen, S.; Tarroja, B. Assessing concurrent effects of climate change on hydropower supply, electricity demand, and greenhouse gas emissions in the Upper Yangtze River Basin of China. Appl. Energy 2020, 279, 115694. [Google Scholar] [CrossRef]
  11. Qin, P.; Xu, H.; Liu, M.; Du, L.; Xiao, C.; Liu, L.; Tarroja, B. Climate change impacts on Three Gorges Reservoir impoundment and hydropower generation. J. Hydrol. 2020, 580, 123922. [Google Scholar] [CrossRef]
  12. Keiler, M.; Knight, J.; Harrison, S. Climate change and geomorphological hazards in the eastern European Alps. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 2010, 368, 2461–2479. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Schlöglab, M.; Fuchs, S.; Scheidl, C.; Heiser, M. Trends in torrential flooding in the Austrian Alps: A combination of cli-mate change, exposure dynamics, and mitigation measures. Clim. Risk Manag. 2021, 32, 100294. [Google Scholar] [CrossRef]
  14. Hosseinzadehtalaei, P.; Ishadi, N.K.; Tabari, H.; Willems, P. Climate change impact assessment on pluvial flooding using a distribution-based bias correction of regional climate model simulations. J. Hydrol. 2021, 598, 126239. [Google Scholar] [CrossRef]
  15. Didovets, I.; Krysanova, V.; Bürger, G.; Snizhko, S.; Balabukh, V.; Bronstert, A. Climate change impact on regional floods in the Carpathian region. J. Hydrol. Reg. Stud. 2019, 22, 100590. [Google Scholar] [CrossRef]
  16. Duratorre, T.; Bombelli, G.M.; Menduni, G.; Bocchiola, D. Hydropower Potential in the Alps under Climate Change Scenarios. The Chavonne Plant, Val D’Aosta. Water 2020, 12, 2011. [Google Scholar] [CrossRef]
  17. Liucci, L.; Valigi, D.; Casadei, S. A new application of Flow Duration Curve (FDC) in designing run-of-river power plants. Water Resour. Manag. 2014, 28, 881–895. [Google Scholar] [CrossRef]
  18. Reichl, F.; Hack, J. Derivation of Flow Duration Curves to Estimate Hydropower Generation Potential in Data-Scarce Regions. Water 2017, 9, 572. [Google Scholar] [CrossRef] [Green Version]
  19. NEK. Use of Nuclear Energy in Slovenia and around the World. Available online: https://www.nek.si/en/ (accessed on 29 July 2021).
  20. Hidroelektrarne na Spodnji Savi. Available online: https://www.he-ss.si/ (accessed on 16 May 2021).
  21. HESS d.o.o. Data of the Water Level in the Chain of the Lower Sava River Power Plants in the Period 2015 to 2020, Plants Operator HESS d.o.o; HESS d.o.o: Brezice, Slovenia, 2021. [Google Scholar]
  22. ARSO—Slovenian Environment Agency. Available online: https://www.arso.gov.si/vode/podatki/amp/ (accessed on 16 May 2021).
  23. Borzen d.o.o. Available online: https://www.borzen.si/sl/Domov/menu2/Center-za-podpore-proizvodnji-zelene-energije/Poročila-in-podatki/Ocena-tržne-vrednosti-elektrike-iz-podporne-sheme (accessed on 10 April 2021).
  24. Ahmad, S.K.; Hossain, F. Maximizing energy production from hydropower dams using short-term weather forecasts. Renew. Energy 2020, 146, 1560–1577. [Google Scholar] [CrossRef]
  25. Hunt, J.D.; Byers, E.; Prenner, R.; de Freitas, M.A.V. Dams with head increaser effect: Harnessing potential and kinetic power from rivers with large head and flow variation. Energy Convers. Manag. 2018, 157, 549–561. [Google Scholar] [CrossRef]
  26. Baselt, I.; Malcherek, A.; Maerker, C. Steffturbine—A micro hydro turbine based on conveyor belt technology. In Proceedings of the AFRICA 2013—Water Storage and Hydropower Development for Africa, Addis Abeba, Ethiopia, 16 April 2013. [Google Scholar]
  27. Loots, I.; van Dijk, M.; Barta, B.; van Vuuren, S.; Bhagwan, J. A review of low head hydropower technologies and applications in a South African context. Renew. Sustain. Energy Rev. 2015, 50, 1254–1268. [Google Scholar] [CrossRef] [Green Version]
  28. White, F.M. Fluid Mechanics, 7th ed.; McGraw-Hill: New York, NY, USA, 2011. [Google Scholar]
  29. Predin, A.; Hren, G.; Fike, M.; Pezdevšek, M.; Roger, A. Izdelava Modela Visokovodnega Razbremenilnika in Prikaz De-Lovanja Na Akumulacijskem Bazenu He Brežice (Mvr-Ab-Heb): Končno Poročilo; Fakulteta za Energetiko, Inštitut za Energetiko: Krško, Slovenia, 2019; p. 2. (In Slovene) [Google Scholar]
Figure 1. Locations of hydropower plants at the Sava River in Slovenia [19].
Figure 1. Locations of hydropower plants at the Sava River in Slovenia [19].
Sustainability 13 09119 g001
Figure 2. HPP Boštanj (a) and HPP Arto-Blanca (b) [20].
Figure 2. HPP Boštanj (a) and HPP Arto-Blanca (b) [20].
Sustainability 13 09119 g002
Figure 3. HPP Krško (a) and HPP Brežice (b) [20].
Figure 3. HPP Krško (a) and HPP Brežice (b) [20].
Sustainability 13 09119 g003
Figure 4. Planned hydropower plant Mokrice (HPP Mokrice) [20].
Figure 4. Planned hydropower plant Mokrice (HPP Mokrice) [20].
Sustainability 13 09119 g004
Figure 5. Spill water flow rate between 2015 and 2019 at HPP Boštanj [21].
Figure 5. Spill water flow rate between 2015 and 2019 at HPP Boštanj [21].
Sustainability 13 09119 g005
Figure 6. Spill water flow rate between 2015 and 2019 at HPP Arto-Blanca [21].
Figure 6. Spill water flow rate between 2015 and 2019 at HPP Arto-Blanca [21].
Sustainability 13 09119 g006
Figure 7. Spill water flow rate between 2015 and 2019 at HPP Krško [21].
Figure 7. Spill water flow rate between 2015 and 2019 at HPP Krško [21].
Sustainability 13 09119 g007
Figure 8. Spill water flow rate in 2018 and 2019 at HPP Brežice [21].
Figure 8. Spill water flow rate in 2018 and 2019 at HPP Brežice [21].
Sustainability 13 09119 g008
Figure 9. Annual volume of water of the Sava River near HPP Brežice in the 1990–2019 period [22].
Figure 9. Annual volume of water of the Sava River near HPP Brežice in the 1990–2019 period [22].
Sustainability 13 09119 g009
Figure 10. Volume of spilled water at hydropower plants in the 2015–2019 period.
Figure 10. Volume of spilled water at hydropower plants in the 2015–2019 period.
Sustainability 13 09119 g010
Figure 11. Numbers of spill water events at hydropower plants in the 2015–2019 period.
Figure 11. Numbers of spill water events at hydropower plants in the 2015–2019 period.
Sustainability 13 09119 g011
Figure 12. Flowrates and heads from 23 May 2015 to 25 May 2015 at HPP Krško.
Figure 12. Flowrates and heads from 23 May 2015 to 25 May 2015 at HPP Krško.
Sustainability 13 09119 g012
Figure 13. Spilled water over weir, Frank White, [28].
Figure 13. Spilled water over weir, Frank White, [28].
Sustainability 13 09119 g013
Figure 14. Calculated values of flow velocity, head and flow rate over the weir.
Figure 14. Calculated values of flow velocity, head and flow rate over the weir.
Sustainability 13 09119 g014
Figure 15. (a) Steff-turbine and (b) modified Steff-turbine.
Figure 15. (a) Steff-turbine and (b) modified Steff-turbine.
Sustainability 13 09119 g015
Figure 16. Schematic illustration of a unit behind the weir.
Figure 16. Schematic illustration of a unit behind the weir.
Sustainability 13 09119 g016
Table 1. Summarized data of hydropower plants at River Sava—lower region.
Table 1. Summarized data of hydropower plants at River Sava—lower region.
Hydropower Plant:HPP BoštanjHPP Arto-BlancaHPP KrškoHPP Brežice
Geographic position46°1′4″ N
15°16′53″ E
45°59′26″ N
15°22′53″ E
45°58′30″ N
15°28′56″ E
45°53′55″ N
15°35′17″ E
Monitoring period [years]5552
Max. flow rate of spilled w. [m3/s]2547252024421782
Spill water volume [million m3]3793363842731561
Spill water events time [h]3134289133161685
Spill water events [−]18213814880
Spill water head [m]7.7910.0410.3612.78
Spilled water/total volume [/]0.1280.1170.1370.118
Sum: Lost energy [MWh]80,49899,558120,63071,668
Table 2. Statistical values of flow velocity, head, and flow rate over the weir.
Table 2. Statistical values of flow velocity, head, and flow rate over the weir.
V2 [m/s]H [m]Qweir [m3/s]
Average:1.990.8227.56
Max:3.501.8779.48
Min:1.050.162.05
Range:2.451.7177.43
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Predin, A.; Fike, M.; Pezdevšek, M.; Hren, G. Lost Energy of Water Spilled over Hydropower Dams. Sustainability 2021, 13, 9119. https://doi.org/10.3390/su13169119

AMA Style

Predin A, Fike M, Pezdevšek M, Hren G. Lost Energy of Water Spilled over Hydropower Dams. Sustainability. 2021; 13(16):9119. https://doi.org/10.3390/su13169119

Chicago/Turabian Style

Predin, Andrej, Matej Fike, Marko Pezdevšek, and Gorazd Hren. 2021. "Lost Energy of Water Spilled over Hydropower Dams" Sustainability 13, no. 16: 9119. https://doi.org/10.3390/su13169119

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop