JOURNAL ARTICLE
Micro-Hydro Power Plant with Cross Flow Turbine Using Hydrant Pump Flow Pressure.
Published In: International Journal of Heat & Technology, 2025, v. 43, n. 3. P. 1123 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Sahupala, Peter; Latuheru, Reinyelda D. 3 of 3
Abstract
This study aims to design and implement a micro-hydro power plant (MHPP) using a cross-flow turbine driven by hydrant pump pressure as an alternative energy solution in remote areas. The implementation site is Wonorejo Village, Merauke, which lacks access to the national electricity grid. The system is designed to generate electricity by converting pressurized water flow into mechanical energy and subsequently into electrical energy using a 12-Volt alternator. Test results show that the system is capable of producing an average output power of 480 Watts with a water flow rate of 20 liters/second under 2 bar pressure. The total system efficiency is recorded at 53.5%, including both turbine and alternator conversion efficiency. The system provides electricity for 8 households, enabling basic lighting and battery charging. Compared to the initial condition of zero electrification, the MHPP implementation shows a 100% increase in energy access, and reduces operational lighting costs based on diesel generators by 65%. Additionally, technical training sessions improved local residents' understanding by 80%, as measured by pre- and post-training assessments. This study demonstrates that pump-pressure-based micro-hydro systems are practical, efficient, and sustainable solutions for non-electrified villages, with further potential when integrated into hybrid systems. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Heat & Technology. 2025/06, Vol. 43, Issue 3, p1123
- Document Type:Conference Paper/Materials
- Subject Area:History
- Publication Date:2025
- ISSN:0392-8764
- DOI:10.18280/ijht.430330
- Accession Number:187258652
- Copyright Statement:Copyright of International Journal of Heat & Technology is the property of International Information & Engineering Technology Association (IIETA) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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