Claim Missing Document
Check
Articles

Found 2 Documents
Search

A systematic decision-making approach to optimizing microgrid energy sources in rural areas through diesel generator operation and techno-economic analysis: A case study of Baron Technopark in Indonesia Prawitasari, Adinda; Nurliyanti, Vetri; Putri Utami, Dannya Maharani; Nurdiana, Eka; Akhmad, Kholid; Aji, Prasetyo; Syafei, Suhraeni; Ifanda, Ifanda; Mulyana, Iwa Garniwa
International Journal of Renewable Energy Development Vol 13, No 2 (2024): March 2024
Publisher : Center of Biomass & Renewable Energy (CBIORE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61435/ijred.2024.59560

Abstract

Microgrid systems are part of the most reliable energy supply technologies for rural communities that do not have access to electricity but the system is generally dominated by diesel generators (DG). The implementation of de-dieselization programs to ensure efficient diesel operations requires addressing several scenarios such as the replacement of diesel completely with 100% renewable energy sources at a significant cost. The design and selection of appropriate configuration, as well as operating patterns, need to be considered in adopting economical and reliable microgrid systems. Therefore, this study aimed to design an optimal configuration and operational pattern for microgrid systems for the frontier, outermost, and least developed (3T) regions using Baron Techno Park (BTP) in Indonesia as a case study. The optimization was conducted through HOMER software combined with benefit-cost analysis and the focus was on daily load variations, selection of control algorithms, reconfiguration of the power supply system, and setting of the diesel generator operating hours. The results showed that the optimum configuration was achieved using loads of resort, 24 kWp of PV, 288 kWh of BESS, load-following (LF) as dispatch controller, and 25 kVa of DG. Moreover, the proposed microgrid system produced 12% excess energy, 36% renewable fraction (RF), 13.25 tons reduction in CO2 emissions per year, $0.28 LCOE per kWh, $250,478 NPC, and a benefit-cost ratio (BCR) of 0.89. It also had a potential energy efficiency savings of 55.56% and a cost efficiency of 20.95% compared to existing system configurations. In conclusion, the study showed that the addition of DG to microgrid systems in 3T areas was more optimal than using only PV and batteries. An effective operating schedule for the DG was also necessary to improve RF and reduce expenses. Furthermore, other energy storage devices considered less expensive than batteries could be introduced to improve the economics of microgrid systems in the 3T region.
Techno-economic assessment of Bilacenge PV grid system in Southwest Sumba Nurdiana, Eka; Nugroho, Muhammad Very; Fikriyadi, Zakariya Arif; Mardiansah, Fajril; Dianti, Dwie Vannia; Utami, Dannya Maharani Putri; Akhmad, Kholid; Margowadi, Yusuf; Rezavidi, Arya
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.991

Abstract

A solar photovoltaic (PV) grid system with an Energy Management System (EMS) has been installed in Bilacenge, Southwest Sumba. This 400 kWp PV-Grid system is the first system in Indonesia that can control the electricity output to the grid. It comprises two battery blocks that support the system to maximize electricity generation. This study has been conducted to evaluate the installed PV-grid system with EMS compared to diesel generators commonly used in remote areas. The study employs various techno-economic methods, including life cycle cost (LCC), levelized cost of energy (LCoE), and economic feasibility analysis based on several parameters such as net present value (NPV), payback period (PBP), and benefit-cost ratio (BCR). The results show that the system will experience a return on investment after operating for 34 years, accompanied by a benefit-cost ratio value of 0.60, which indicates that the investment of this PV grid system is not economically profitable.