Estimation of Nationwide Mid-sized Basin Unit Small Hydropower Potential Using Grid-based Surface Runoff Model

Gyeom, Kim， Jin; 손호영,; 김진영,; Yeol, Yun Chang; Kim, Hyun‐Goo; Yong-Heack, Kang; Kang, Boosik

doi:10.7849/ksnre.2018.9.14.3.012

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…Saliha et al (2011) estimated the discharge values in an ungauged basin by combining a hydrological model and neural network theory [41]. Kim et al (2018) used a grid-based surface runoff model [42], and Kim et al (2012) applied the tank model [43].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Several studies evaluated the impacts of climate change on hydrology using hydrological models [49,[60][61][62][63][64]. Kim et al (2018) estimated the SHP potential under climate change using a grid-based surface runoff model [44]. Liu et al (2016) projected impacts of climate change on hydropower potential in China using simulation from eight global hydrological models and five general circulation models (GCMs) [65].…”

Section: Literature Reviewmentioning

confidence: 99%

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Analysis of Small Hydropower Generation Potential: (2) Future Prospect of the Potential under Climate Change

Jung

Lee

et al. 2021

Energies

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The interest in renewable energy to replace fossil fuel is increasing as the problem caused by climate change has become more severe. In this study, small hydropower (SHP) was evaluated as a resource with high development value because of its high energy density compared to other renewable energy sources. SHP may be an attractive and sustainable power generation environmental perspective because of its potential to be found in small rivers and streams. The power generation potential could be estimated based on the discharge in the river basin. Since the river discharge depends on the climate conditions, the hydropower generation potential changes sensitively according to climate variability. Therefore, it is necessary to analyze the SHP potential in consideration of future climate change. In this study, the future prospect of SHP potential is simulated for the period of 2021 to 2100 considering the climate change in three hydropower plants of Deoksong, Hanseok, and Socheon stations, Korea. The results show that SHP potential for the near future (2021 to 2040) shows a tendency to be increased, and the highest increase is 23.4% at the Deoksong SPH plant. Through the result of future prospect, we have shown that hydroelectric power generation capacity or SHP potential will be increased in the future. Therefore, we believe that it is necessary to revitalize the development of SHP to expand the use of renewable energy. In addition, a methodology presented in this study could be used for the future prospect of the SHP potential.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Small Hydropower Generation Potential: (2) Future Prospect of the Potential under Climate Change

Jung

Lee

et al. 2021

Energies

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“…Cheng et al (2017) simulated the monthly potential of an SHP plant in an ungaged basin using the Grey model [23]; Zlatanović et al (2014) calculated the discharge values in an ungaged basin using an open source software application [24]; and Saliha et al (2011) estimated the discharge values in an ungaged basin by combining a hydrological model and neural network theory [25]. Kim et al (2018) estimated the SHP potential by using a grid-based surface runoff model [26]. Kim et al (2012) calculated the discharge data by applying the Tank model while investigating the variations in SHP generation due to climate change [27].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Small Hydropower Generation Potential: (1) Estimation of the Potential in Ungaged Basins

et al. 2021

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Small hydropower (SHP) plants are advantageous as they have a short construction period and can be easily maintained. They also have a higher energy density than other alternative energy sources as environmentally-friendly energy sources. In general, hydropower potential is estimated based on the discharge in the river basin, and the discharge can be obtained from the stage station in the gaged basin. However, if there is no station (i.e., ungaged basin) or no sufficient discharge data, the discharge should be estimated based on rainfall data. The flow duration characteristic model is the most widely used method for the estimation of mean annual discharge because of its simplicity and it consists of rainfall, basin area, and runoff coefficient. Due to the characteristics of hydroelectric power depending on the discharge, there is a limit to guaranteeing the accuracy of estimating the generated power with only one method of the flow duration characteristic model. Therefore, this study assumes the gaged basins of the three hydropower plants of Deoksong, Hanseok, and Socheon in Korea exist as ungaged basins and the river discharges were simulated using the Kajiyama formula, modified-TPM(Two-Parameter Monthly) model, and Tank model for a comparison with the flow duration characteristics model. Furthermore, to minimize the uncertainty of the simulated discharge, four blending techniques of simple average method, MMSE(Multi-Model Super Ensemble), SMA(Simple Model Average), and MSE(Mean Square Error) were applied. As for the results, the obtained discharges from the four models were compared with the observed discharge and we noted that the discharges by the Kajiyama formula and modified-TPM model were better fitted with the observations than the discharge by the flow duration characteristics model. However, the result by the Tank model was not well fitted with the observation. Additionally, when we investigated the four blending techniques, we concluded that the MSE technique was the most appropriate for the discharge simulation of the ungaged basin. This study proposed a methodology to estimate power generation potential more accurately by applying discharge simulation models that have not been previously applied to the estimation of SHP potential and blending techniques were also used to minimize the uncertainty of the simulated discharge. The methodology proposed in this study is expected to be applicable for the estimation of SHP potential in ungaged basins.

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Assessment of Energy Self-sufficiency Ratio Based on Renewable Market Potentials for Unit of Local Government

Kim

Kang

Cho

et al. 2019

kses

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Estimation of Nationwide Mid-sized Basin Unit Small Hydropower Potential Using Grid-based Surface Runoff Model

Cited by 3 publications

References 11 publications

Analysis of Small Hydropower Generation Potential: (2) Future Prospect of the Potential under Climate Change

Analysis of Small Hydropower Generation Potential: (2) Future Prospect of the Potential under Climate Change

Analysis of Small Hydropower Generation Potential: (1) Estimation of the Potential in Ungaged Basins

Assessment of Energy Self-sufficiency Ratio Based on Renewable Market Potentials for Unit of Local Government

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