E3S Web Conf.
Volume 190, 20201st International Conference on Renewable Energy Research and Challenge (ICoRER 2019)
|Number of page(s)||7|
|Published online||23 September 2020|
The Identification of Micro-hydro Power Plants Potential in Irrigation Areas Based on Unmanned Air Vehicle (UAV) Image Processing
Doctoral Program of Environmental Science, Graduate School of Sebelas Maret University. Jl. Ir. Sutami 36A Surakarta 57126, Central Java, Indonesia
2 Department of Environmental Science, Graduate School of Sebelas Maret University. Jl. Ir. Sutami 36A Surakarta 57126, Central Java, Indonesia
3 Department of Agrotechnology, Faculty of Agriculture, Sebelas Maret University. Jl. Ir. Sutami 36A Surakarta 57126, Central Java, Indonesia
4 Faculty of Geography, Universitas Gadjah Mada, Jl. Kaliurang, Bulaksumur, Special Region Yogyakarta 55281, Indonesia
5 Department of Biological Science, Sebelas Maret University. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia
6 Department of Water Management, Estonian University of Life Sciences, Friedrich Reinhold Kreutzwaldi 1a, 51014 Tartu, Estonia
7 Graduate School of Renewable Energy, Darma Persada University, Jl. Taman Malaka Selatan No. 22, Pondok Kelapa, East Jakarta 13450, Indonesia
* Corresponding author: firstname.lastname@example.org
Estimation of the energy demand in Indonesia will increase by 8.15 % annually until 2030. Indonesia is committed to preventing climate change through mix energy (new and renewable energy). One of the sources of this energy is waterpower plants with a potential of 75 091 MW have been utilized 6.4 %, mini-hydro, and micro-hydro with a potential of 19 385 MW have been utilized 1 %. In the Industrial Revolution 4.0, it is doable to identify such potential using drone. This study was conducted in the Kalibawang irrigation area, Special Region of Yogyakarta, Indonesia. The procedure starts with the generation of detailed Aerial Photography using Drone DJI Phantom 4. The images from aerial photography were then processed into high-resolution Digital Elevation Model (DEM). DEM data represent the study area topography and can be used to identify the stream gradient potential or height difference (H). Six potential points were identified with height differences between 3 m to 8 m, resulting in the potential generated power ranging from 125 kW to 334 kW. This study demonstrates the identification of micro-hydro energy potential points, height difference, and generated power using Drone. Six points were identified with total potential energy 1 418 kW.
Key words: alternative energy / cascade / clean energy / digital elevation model / hydropower / irrigation
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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