Journal of Disaster Research
Online ISSN : 1883-8030
Print ISSN : 1881-2473
ISSN-L : 1881-2473
Special Issue on SATREPS Myanmar Project Part 2: Development of a Comprehensive Disaster Resilience System and Collaboration Platform in Myanmar
Estimation of Run-of-River Hydropower Potential in the Myitnge River Basin
Kyu Kyu ThinWin Win ZinZin Mar Lar Tin SanAkiyuki KawasakiAbdul MoizSeemanta Sharma Bhagabati
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キーワード: Myitnge, hydropower, GIS, SWAT
ジャーナル オープンアクセス

2020 年 15 巻 3 号 p. 267-276

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The need for electricity is rapidly increasing, especially in developing countries. There is vast hydropower potential existing globally that has not yet been explored. This could be the only solution to solve future global power shortage. Hydropower is a clean and renewable source of energy because it does not exploit the use of water. However, using the conventional approach to harness hydropower results in several challenges. It is difficult to identify suitable sites and assess site potential during the planning stage of hydropower projects. In this study, run-of-river hydropower potential for the Myitnge River Basin was estimated by intergrating a Geographic Information System (GIS) and Soil & Water Assessement Tool (SWAT) model. A GIS based tool was developed using Python to spot the potential locations of the hydropower plants. The hydrological model (SWAT) was designed in order to obtain the values of monthly discharge for all potential hydropwer sites. The flow duration curves at potential locations were developed and the design discharge for hydropower was identified. Forty-four run-of-river (ROR) type potential hydropower sites were identified by considering only the topographic factors. After simulation with SWAT model, twenty potential sites with a hydropower generation potential of 292 MW were identified. Currently, only one 790 MW Yeywa Hydropower Plant, which is the largest plant in Myanmar, exists in the Myitnge River Basin. The amount of estimated power generated from ROR may increase the existing power system of Myitnge Basin by 36%. This study will assist stakeholders in the energy sector to optimize the available resources to select appropiate sites for small hydropower plants with high power potential.

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