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Journal of Power, Energy, and Control
Published by MSD Institute
ISSN : -     EISSN : 30478804     DOI : -
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Mechanical Engineering
Journal of Power, Energy, and Control (PEC) mainly focuses on power engineering, energy engineering, renewable energy, control systems in energy application, and various sustainable energy applications. PEC welcomes the submission of high quality original research papers, review papers, and case study reports.
Arjuna Subject : Energi (semua kategori) - Teknik Energi dan Teknologi Daya
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 1 (2024)" : 5 Documents clear
Optimising Agrivoltaic Systems: Identifying Suitable Solar Development Sites for Integrated Food and Energy Production Tri Nugroho, Apri; Pramono Hadi, Sasongko; Sutanta, Heri; Adikara Ajrin, Hyatma
Journal of Power, Energy, and Control Vol. 1 No. 1 (2024)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v1i1.3

Abstract

This study explores the integration of food and energy systems as a solution to address agricultural challenges in the dryland region of Gunungkidul Regency. Facing water scarcity issues, the region's abundant solar irradiation potential presents an opportunity for co-locating food and energy production, specifically through the implementation of an agrivoltaic system. Seven sub-districts had been designated in the local government regulations for solar energy development sites, including Gedangsari, Nglipar, Ngawen, Purwosari, Saptosari, Tanjungsari, and Tepus. Ten criteria and five constraints were established to assess their suitability for agrivoltaic systems. Utilising map overlay analysis and integrating GIS-MCDA with Fuzzy and AHP methodologies, three sub-districts—Semanu, Wonosari, and Tepus—emerged as the most suitable locations. Each sub-district boasts substantial total areas of 1,779.9 Ha, 1,325.5 Ha, and 1,147.21 Ha, respectively, with Tepus aligning with the local government's solar energy development plan. This comprehensive approach ensures that the selected locations meet both energy development goals and the potential for successful agrivoltaic implementation. In conclusion, this study demonstrates the feasibility of implementing food and energy combinations through an agrivoltaic system in Gunungkidul Regency, providing insights into suitable sub-districts and emphasising the importance of aligning regional energy plans with sustainable agricultural practices on arid land.
Examining Power Quality Challenges in Photovoltaic-Grid Integration: A Critical Review Sandi, Zakariya
Journal of Power, Energy, and Control Vol. 1 No. 1 (2024)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v1i1.4

Abstract

With the massive growth of photovoltaic (PV) installations worldwide, the impact of integration between PV and the grid is becoming a serious issue and requires immediate attention. This is due to the intermittent power that the PV itself generates. The quality of the power can affect the stability of the system, the protection equipment, and the energy efficiency, which imposes a financial issue. This literature review will present the most frequently encountered problems when PV integrates with the grid, namely power quality issues, particularly on the distribution network. Problem-solving will also be presented as a reference for future PV development. It discusses several ways to handle power quality problems, depending on the factors influencing power quality. One of the proven ways is to use a modern inverter equipped with features that suit the system's needs. However, the discussion in this paper is limited to the issues of power quality and voltage generated by PV integrated into the grid. Future studies can discuss other technical issues, such as protection, feeder losses, and other problems that may arise in the future.
Modification of Polycrystalline PV String for Charging on Electric Scooter Hazrina, Fadhillah; Purwiyanto, Purwiyanto; Ali, Naufal; Widiyanto, Syam
Journal of Power, Energy, and Control Vol. 1 No. 1 (2024)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v1i1.5

Abstract

Electric scooters rely on batteries to power BLDC motors, which are traditionally recharged through the household electricity grid. However, alternatives like solar energy are being explored to reduce dependency on conventional power sources. A challenge arises due to the discrepancy in voltage compatibility between standard solar panels and scooter batteries. Typically, a 36 V scooter battery requires a higher voltage input than the 18 V output of a single solar panel. This requires modifications to align solar cell design with battery voltage requirements. This study implements a PZEM-015 sensor for monitoring battery energy consumption. The contribution of this study is twofold: to develop and optimise solar cell modification for effective battery charging and to assess battery consumption concerning speed and travel duration. Testing reveals that a series circuit modification yields an average voltage of 39.2 V and an average current of 0.55 A, resulting in 21.8 Wp of power output. Analysis of scooter performance indicates that maintaining speeds between 4.16 m/s and 5.55 m/s significantly extends travel time and conserves battery energy. These findings highlight the potential of modified solar PV in enhancing electric scooter efficiency and sustainability.
Wind Power Prediction Model Using Machine Learning Waweru, Paul; Kagiri, Charles; Mulembo, Titus
Journal of Power, Energy, and Control Vol. 1 No. 1 (2024)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v1i1.6

Abstract

Before installing a wind turbine, it's essential to conduct wind power forecasting to gauge the effectiveness of the wind power initiative. Conventionally, wind speed measurements have been conducted instantaneously between various points. These measurement points solely indicate the locations where wind turbines will be positioned. However, these locations might exhibit reduced wind speeds, potentially making them less suitable for the optimal placement of the wind turbine. To address location challenges, we suggest conducting wind power predictions in areas where wind measuring instruments are yet to be installed. The study relies on the instantaneous measurements already performed at the site set up at the Dedan Kimathi University of Technology. To this end, a wind power forecasting model has been created. Real-time data from the site was gathered via a wireless sensor node utilising the Internet of Things (IoT). Additionally, a machine learning prediction model based on time series analysis was developed. Our forecasts were moderately aligned with the testing values, showing seasonality throughout the year. Therefore, the developed machine learning model captured the underlying patterns, trends, and seasonality in the wind data, making its forecasts reliable.
Risk Assessment Analysis of Hybrid Renewable Energy Systems in Remote Areas: Case Study of Domadgee, Australia Risky, Muhammad Fahrul
Journal of Power, Energy, and Control Vol. 1 No. 1 (2024)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/pec.v1i1.8

Abstract

This study comprehensively analyses the energy requirements and options for Doomadgee, a remote indigenous community in Australia. Currently, the electricity provider relies on a 2.44 MW diesel power generator, resulting in high operational costs and carbon emissions. This study explores transition options to renewable energy sources to address these challenges while ensuring reliable and cost-effective power supply. This study suggests utilising a 2.4 MW wind energy source, a 1.2 MW solar energy source, and a 4 MW battery storage system that can last 8 hours. This configuration aims to reduce diesel consumption, optimise the internal rate of return (IRR), and establish a sustainable energy mix with low capital expenditure. The wind and solar capacities recommended for Doomadgee also consider seasonal fluctuations, such as wet and dry seasons in energy demand, ensuring efficient power production all year round. The study commences with the development of a risk matrix to determine the hurdle rate. The next step involves conducting ten distinct scenarios to evaluate the investment's financial feasibility, considering various variables such as wind, solar, equipment, and battery storage capacities. Sensitivity analysis also determines the most significant factors impacting financial valuation. This analysis provides valuable insights that can aid in the decision-making process.

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