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Wind-powered water pumping system for corn plantations under the food estate program on Sumba Island, Indonesia Aziz, Amiral; Rostyono, Didik; Zaky, Toha; Hesty, Nurry Widya; Ifanda, Ifanda; Fauziah, Khotimatul; Prasetyo, Ridwan Budi; Wijayanto, Rudi Purwo; Witjakso, Ario; Syawitri, Taurista Perdana; Mayasari, Agustina Putri
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i5.pp4940-4955

Abstract

The Food and Agriculture Organization (FAO) released a communiqué in March 2020 cautioning about the possibility of a worldwide food emergency due to coronavirus disease (COVID-19). As a response to the food shortages brought on by the COVID-19 outbreak, the authorities of Indonesia initiated a nationwide program aimed at improving the country's food supply known as the food estate (FE), which was later incorporated into national strategic programs. The climate and availability of surface water sources in this region make establishing an FE area in the Central Sumba Regency difficult. Sumba, on the other hand, possesses wind energy resources that can be transformed into electrical energy and used to pump underground water for agricultural purposes. A wind-powered water pump (WPW) is being developed in this study to provide water for maize plantations in the FE region in Central Sumba District, Indonesia. The study on the levelized cost of energy (LCOE) for water pumping indicates that the wind-powered system is more economically viable than the diesel-powered alternative. The LCOE for a WPW pumping system is 6,994 IDR/kWh, whereas the LCOE for a diesel-powered system is 16,667 IDR/kWh. The overall net present value of WPW and diesel-powered systems is 708,667,200 IDR and 2,158,349,000 IDR, respectively. This study contributes significantly to informed decision-making for enhancing the performance viability of the wind water pumping system for the food estate program in Indonesia.
Optimizing Energy Output for Oscillating Water Column (OWC) Wave Energy Converter System at Pantai Baron, Gunung Kidul, DI Yogyakarta Kurniawan, Aries Taufiq; Budiman, Arief; Budiarto, Rachmawan; Prasetyo, Ridwan Budi
Applied Engineering and Technology Vol 3, No 2 (2024): August 2024
Publisher : ASCEE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/aet.v3i2.1773

Abstract

The prototypes of the Oscillating Water Column (OWC) system constructed by BPPT at Pantai Baron, Gunung Kidul, in 2005  and 2006 were not sustainable. Based on its condition and location, the root cause of the problem was defined. Maximizing the total efficiency and capacity factor (Cf) of the OWC system was the main factor for optimizing energy output. Collecting  factors that constructed the total efficiency and capacity factor of the OWC system was conducted. Selecting the appropriate  turbine, generator, and chamber system led to an increase in the total efficiency of the OWC system. Reducing the effect of  wave diffraction, finding optimum wave data for forecasting, finding optimum water depth area to avoid wave breaking area,  reducing corrosion chance by selecting the optimum height of the OWC system, and using a control system to minimize stalling  on turbine were factors that constructed capacity factor
ANALISIS DIAGRAM WIND ROSE DI BARON TECHNO PARK Prasetyo, Ridwan Budi
Nozzle : Journal Mechanical Engineering Vol 10, No 2 (2021): Nozzle : Journal Mechanical Engineering
Publisher : Politeknik Harapan Bersama Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/nozzle.v10i2.2683

Abstract

This paper presents the analysis of wind data at KST Baron Techno Park in the form of a wind rose diagram. Wind data analyzed in the 2019 period. The wind data is very important for evaluating wind potential, namely, the production of electricity from wind sources. This is because, KST Baron Techno Park is still experiencing difficulties in obtaining long-term anemometric data and short-term data related to wind speed and wind direction. Even though this is very important for the optimization of the operation and maintenance of the Wind Power Plant (PLTB) which is part of the hybrid electricity system. This is to examine the characteristics of the wind that several times caused damage to the blade until it broke. Making wind rose diagrams using Microsoft Excel. From the analysis, it is known that the wind direction is dominated by the southeast (SE) with a wind speed of 1-4 m/s.