Alatas, Masrur and Theresia Sri Budiastuti, Maria and Gunawan, Totok and Setyono, Prabang and Burlakovs, Juris and Yandri, Erkata (2020) The Identification of Micro-hydro Power Plants Potential in Irrigation Areas Based on Unmanned Air Vehicle (UAV) Image Processing. In: 1st International Conference on Renewable Energy Research and Challenge, ICoRER 2019 Banyuwangi 12 November 2019.
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Abstract
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. © The Authors, published by EDP Sciences, 2020.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Cited by: 5; All Open Access, Gold Open Access, Green Open Access |
Uncontrolled Keywords: | alternative energy, cascade, clean energy, digital elevation model, hydropower, irrigation, |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) |
Divisions: | Faculty of Geography |
Depositing User: | Sri JUNANDI |
Date Deposited: | 27 Feb 2025 03:05 |
Last Modified: | 27 Feb 2025 03:05 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/14153 |