scholarly journals Impact of climate variability on hydropower generation in an un-gauged catchment: Erathna run-of-the-river hydropower plant, Sri Lanka

2019 ◽  
Vol 9 (3) ◽  
Author(s):  
Anushka Perera ◽  
Upaka Rathnayake
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Bhabishya Khaniya ◽  
Chamaka Karunanayake ◽  
Miyuru B. Gunathilake ◽  
Upaka Rathnayake

The projection of future hydropower generation is extremely important for the sustainable development of any country, which utilizes hydropower as one of the major sources of energy to plan the country’s power management system. Hydropower generation, on the other hand, is mostly dependent on the weather and climate dynamics of the local area. In this paper, we aim to study the impact of climate change on the future performance of the Samanalawewa hydropower plant located in Sri Lanka using artificial neural networks (ANNs). ANNs are one of the most effective machine learning tools for examining nonlinear relationships between the variables to understand complex hydrological processes. Validated ANN model is used to project the future power generation from 2020 to 2050 using future projected rainfall data extracted from regional climate models. Results showcased that the forecasted hydropower would increase in significant percentages (7.29% and 10.22%) for the two tested climatic scenarios (RCP4.5 and RCP8.5). Therefore, this analysis showcases the capability of ANN in projecting nonstationary patterns of power generation from hydropower plants. The projected results are of utmost importance to stakeholders to manage reservoir operations while maximizing the productivity of the impounded water and thus, maximizing economic growth as well as social benefits.


2018 ◽  
Vol 26 (3) ◽  
pp. 301-309 ◽  
Author(s):  
Bhabishya Khaniya ◽  
Harshana G. Priyantha ◽  
Nilushi Baduge ◽  
Hazi Md. Azamathulla ◽  
Upaka Rathnayake

Author(s):  
Salomon Obahoundje ◽  
Ernest Amoussou ◽  
Marc Youan Ta ◽  
Lazare Kouakou Kouassi ◽  
Arona Diedhiou

Abstract. Hydropower energy, the main renewable energy source in West Africa, contributes to more than half of the Togo and Benin National electrification. This resource highly depends on water availability in rivers or reservoirs. The water availability heavily relies on climate patterns of the area. In the climate change context, the sustainability of hydropower plants is at risk. This work aims to assess the sensitivity of the Nangbeto hydropower plant to multiyear climate variability using statistical analysis. The results show that energy generation at Nangbeto hydropower is more modulated by four main variables namely inflow to reservoir, water level, rainfall of the actual and the previous year. The energy generation is found to be strongly and significantly correlated to inflow to reservoir, water level, and rainfall. Overall, the Nangbeto hydropower generation is more sensitive to inflow which is controlled by climate variables (rainfall, temperature) and land use/cover change. Therefore, the probable future change in these variables is suggested to be deeply investigated.


2021 ◽  
Author(s):  
U. A. Amarasinghe ◽  
G. Amarnath ◽  
N. Alahacoon ◽  
M. Aheeyar ◽  
K. Chandrasekharan ◽  
...  

Author(s):  
David A. del Río ◽  
Hugo Moffett ◽  
César Nieto-Londoño ◽  
Rafael E. Vásquez ◽  
Ana Escudero-Atehortúa

Abstract This work addresses the strategy of AES Corporation (AES Chivor) in order to extend the life of La Esmeralda reservoir to support Colombia’s future energy demand. Chivor Hydropower Plant entered into service in 1978 and has a capacity of 1000 MW, 8 % of Colombia’s demand. It is first described how the Colombian electricity energy mix is composed. Then, La Esmeralda reservoir, which is used by Chivor for power generation, is described; sediment management plans and maintenance costs for equipment and infrastructure are addressed. Then, sediment dynamics studies that have been done in order to determine life expectancy of La Esmeralda reservoir are listed. Such studies have been used to execute the Chivor’s Life Extension Project, which considers the modification of intakes as the best option to extend the life of the reservoir for at least 50 years, among several alternatives that were evaluated by a panel of international experts. This represents a challenge from the engineering point of view, and the project will be shown as a successful example for a country with such dependence on hydropower generation. Modernizing existing infrastructure without affecting the operation, as in this case, is crucial to show how a sustainable sediment management plan and technological development are necessary to extend life of hydropower generation projects, and to help meeting energy demand in a sustainable way for countries such as Colombia with a growing economy.


Climate ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 31
Author(s):  
Champika S. Kariyawasam ◽  
Lalit Kumar ◽  
Benjamin Kipkemboi Kogo ◽  
Sujith S. Ratnayake

Climate variability can influence the dynamics of aquatic invasive alien plants (AIAPs) that exert tremendous pressure on aquatic systems, leading to loss of biodiversity, agricultural wealth, and ecosystem services. However, the magnitude of these impacts remains poorly known. The current study aims to analyse the long-term changes in the spatio-temporal distribution of AIAPs under the influence of climate variability in a heavily infested tank cascade system (TCS) in Sri Lanka. The changes in coverage of various features in the TCS were analysed using the supervised maximum likelihood classification of ten Landsat images over a 27-year period, from 1992 to 2019 using ENVI remote sensing software. The non-parametric Mann–Kendall trend test and Sen’s slope estimate were used to analyse the trend of annual rainfall and temperature. We observed a positive trend of temperature that was statistically significant (p value < 0.05) and a positive trend of rainfall that was not statistically significant (p values > 0.05) over the time period. Our results showed fluctuations in the distribution of AIAPs in the short term; however, the coverage of AIAPs showed an increasing trend in the study area over the longer term. Thus, this study suggests that the AIAPs are likely to increase under climate variability in the study area.


2021 ◽  
Vol 12 (1) ◽  
pp. 40
Author(s):  
H. M. K. A. Herath ◽  
R. A. R. Prabodanie ◽  
M. T. M. T. Wijewicrama

2021 ◽  
pp. 291-307
Author(s):  
E. P. N. Udayakumara

AbstractThe Samanalawewa catchment is considered one of the most important catchments in Sri Lanka because of its diverse land uses. Hence, this study examines the long-term effects on climate variability, soil erosion soil erosion, and adoption of soil and water conservation (SWC) measures in the Samanalawewa reservoir. Rainfall and temperature data indicated that annual rainfall decreased from 1922 to 2008 by an average of 5.5 mm per year while the average annual temperature increased from 1973 to 2008 at a rate of 0.02 °C per year. Moreover, model-based soil erosion assessment disclosed that the rate of soil erosion ranges from 0 to 289 t per ha per year with an average of 4.3 t per ha per year.


Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 504
Author(s):  
Jiqing Li ◽  
May Myat Moe Saw ◽  
Siyu Chen ◽  
Hongjie Yu

The short-term optimal operation model discussed in this paper uses the 2016 to 2018 daily and monthly data of Baluchaung II hydropower station to optimize power generation by minimizing water consumption effectively in order to get more revenue from optimal operation. In the first stage, run-off-river type Baluchaung II hydropower station data was applied in a mathematical model of equal micro-increment rate method for optimal hydropower generation flow distribution unit results. In the second stage, dynamic programming was used to get optimal hydropower generation unit distribution results. The resultant data indicated that optimized results can effectively guide the actual operation run of this power station. The purpose of the optimal load dispatching unit was to consider the optimal power of each unit for financial profit and numerical programming on the actual data of Baluchaung II hydropower plant to confirm that our methods are able to find good optimal solutions which satisfy the objective values of 17.75% in flow distribution units and 24.16% in load distribution units.


Proceedings ◽  
2018 ◽  
Vol 2 (11) ◽  
pp. 689 ◽  
Author(s):  
Marco van Dijk ◽  
Giovanna Cavazzini ◽  
Gideon Bonthuys ◽  
Alberto Santolin ◽  
Jacques van Delft

South Africa is acknowledged to be not particularly endowed with the best hydropower conditions as it might be elsewhere in Africa and the rest of the world, however, large quantities of raw and potable water are conveyed daily under either pressurized or gravity conditions over large distances and elevations. There exists conduit hydropower generation potential in the water supply and distribution systems belonging to municipalities, water supply utilities and mines. Bloemwater, a water utility, constructed a stand-alone turbine, based on the available pressure and flow which generates a constant output ranging between 55 and 96 kW and when sufficient, supplies the head-office. Initially a manual changeover was utilized to switch between the hydropower and the local electricity supplier when the hydropower was insufficient to meet the demand i.e. switching of the full load from the one source to the other. To maximize the utilization of the hydropower, an automatic change over panel was developed to deal with the variable electricity demand from the office. The office building’s electrical distribution was divided into different distribution boards to allow each sector to be supplied and switched individually with 6, PLC controlled, motorized change-over switches. The PLC constantly evaluates and subsequently executes switching actions so that Bloemwater can utilize the maximum renewable hydropower, but also limits power interruptions to a minimum because of these switching actions. This technical paper describes the development of this conduit hydropower plant by evaluating the interrelationship of water supply, electricity demand and operating cycles, providing Bloemwater with the optimum solution with increased resiliency and sustainability.


Sign in / Sign up

Export Citation Format

Share Document