Electrical and Electronic Engineering, Energy, Renewable Energy, Sustainability and the Environment
12
Scopus Publications
Scopus Publications
APPLICATION OF PERFORMANCE RATIO USING PVSYST SIMULATION IN THE PLANNING OF A HYBRID SYSTEM ROOFTOP SOLAR POWER PLANT IN CASE: BUILDING I, FACULTY OF ENGINEERING, SRIWIJAYA UNIVERSITY Armin Sofijan, Wirawan Adipradana, Kasmir Kasmir, Sudirman Yahya, Daeny Septi Yansuri, Ahmad Nuruddin Eureka Physics and Engineering, 2026 This study investigates the planning and performance evaluation of a hybrid rooftop solar power system for Building I, Faculty of Engineering, Sriwijaya University, using PVsyst simulation software. It addresses the challenges of increasing energy demands and reliance on fossil fuels, aligning with Indonesia's commitment to achieving a 23% renewable energy mix by 2025.The research involves designing and simulating a 39.6 kWp solar power system integrated with the State Electricity Company of Indonesia (PLN). The simulation results revealed an annual energy generation potential of 51,655 kWh and a performance ratio of 75%. These findings highlight the system's efficiency in converting solar energy into electricity, with losses attributed to environmental and technical factors, including solar irradiation variability, temperature, shading, and inverter efficiency.The system’s hybrid design, which combines battery storage with grid connectivity, ensures uninterrupted energy supply and enhances system reliability. This feature allows the system to mitigate fluctuations in solar energy availability while reducing dependence on grid electricity. The hybrid approach not only improves energy resilience but also supports sustainable energy solutions by integrating renewable energy sources effectively.The results are particularly applicable in institutional and urban settings where energy reliability and sustainability are critical. The system is well-suited for regions with high solar irradiation and infrastructure capable of supporting solar power technology. By providing cleaner, more sustainable energy, the hybrid system supports Indonesia’s renewable energy targets and contributes to global efforts to transition to greener energy systems
Evaluation the Effect of Radiation and Temperature on the Efficiency of Various Types of PV Panels Monocrystalline, Polycrystalline, and Thin Film Armin Sofijan, Musahab Khori, Wirawan Adipradana, Baginda Oloan Siregar, Riman Sipahutar, et al. Semarak Engineering Journal, 2025 Solar photovoltaic (PV) technology is a key solution for sustainable energy generation. However, its efficiency is significantly affected by environmental factors such as solar radiation and temperature. Understanding these impacts is crucial for optimizing PV performance under varying climatic conditions. The efficiency of PV panels varies based on material composition and environmental exposure. While single-crystal panels offer high efficiency, they are more sensitive to temperature fluctuations. Polycrystalline panels, though cost-effective, have lower efficiency, and thin-film panels exhibit better performance in low-light conditions but with lower maximum efficiency. This study aims to analyze how solar radiation and temperature affect these different PV technologies. This research evaluates the performance of three common PV modules monocrystalline, polycrystalline, and thin film by examining their efficiency under various radiation and temperature conditions. A real-time data logging system was used to monitor solar radiation, voltage, current, and temperature. The collected data were analyzed to determine efficiency variations in different environmental conditions. Monocrystalline panels achieved the highest efficiency, peaking at 27.70% within radiation intensities of 600–800 W/m². However, they are highly sensitive to temperature increases, with a coefficient of 0.35%/°C. Polycrystalline panels exhibited lower efficiency (20.80%) and a slightly higher temperature sensitivity of 0.40%/°C, making them less suitable for high-temperature regions. Thin-film panels had the lowest maximum efficiency (10.26%) but maintained stable performance under different temperature and radiation intensities, with a lower temperature coefficient of 0.25%/°C. Solar radiation directly impacts efficiency by determining the photon energy available for power generation. Efficiency peaks at moderate radiation levels (600–800 W/m²), while excessive radiation (>900 W/m²) leads to thermal losses. The study concludes that monocrystalline panels perform best in regions with stable sunlight and moderate temperatures, whereas thin-film panels are more suitable for low-light conditions. Further studies should focus on enhancing PV performance through advanced cooling mechanisms, hybrid material innovations, and improved Maximum Power Point Tracking (MPPT) algorithms to mitigate efficiency losses due to temperature variations and excessive radiation exposure.
Photovoltaic Fault Detection in Remote Areas Using Fuzzy-Based Multiple Linear Regression (FMLR) Feby Ardianto, Ermatita Ermatita, Armin Sofijan International Journal of Advanced Computer Science and Applications, 2025 This research focused on developing and implementing a fault detection model for photovoltaic (PV) systems in remote areas, utilizing a Fuzzy-Based Multiple Linear Regression (FMLR) approach. The study aimed to address the challenges of monitoring PV systems in locations with limited access to conventional power grids and technical resources. The fault detection system integrated environmental parameters such as solar radiation, temperature, wind speed, and rainfall, alongside PV system parameters like panel voltage, current, battery voltage, and inverter performance. Data collection and preprocessing were conducted over a specified period to identify operational patterns under both normal and faulty conditions, ensuring data accuracy through cleaning, normalization, and categorization. The research was conducted in Pandan Arang Village, Kandis District, Ogan Ilir Regency, South Sumatera, Indonesia, contributing to the improvement of reliability and sustainability of renewable energy sources in isolated communities. The total number of data points for 276 rows with 6 attributes each was 1656 records. The MLR model was developed to predict the output power of the PV system, while fuzzy logic was employed to handle uncertainties in the data, offering a more flexible and adaptive decision-making process. The system applied fuzzy rules to determine the charging status (P3), categorizing it into Optimal Charging, Adjusted Charging, Charging Delay, or Fault Alert. The model was tested with real-time data, and its performance was validated through comparison with manual inspections. The results showed that the FMLR-based fault detection system effectively identified faults and optimized the performance of the PV system, making it suitable for remote areas in South Sumatera.
IoT-Based Remote Data Logging System for Photovoltaic Research with Thinger.io Vira Dwi Falinda, Armin Sofijan, Daeny Septi Yansuri, Wirawan Adipradana, Aulia Nadyasari, Harlin Septia Saputri, Kimena Rizki Andini IEEE Asia Pacific Conference on Geoscience Electronics and Remote Sensing Technology Agers, 2025 The performance of photovoltaic (PV) systems is highly dependent on fluctuating environmental conditions. Yet, traditional monitoring methods often rely on manual or localized data logging, which fails to provide real-time, remote, and consistent data. While the Internet of Things (IoT) offers a viable solution, a practical justification for selecting specific platforms is often overlooked in existing literature. This research addresses these issues by designing, implementing, and validating an IoT-based data acquisition system for a $\mathbf{1 0 0 ~ W p}$ polycrystalline PV module using the Thinger.io platform. The system integrates an Arduino Nano for local data logging to an SD card and a NodeMCU ESP8266 for transmitting sensor data (irradiance, temperature, current, and voltage) to the Thinger.io cloud for remote monitoring and analysis. The results demonstrate a high degree of reliability, with data from Thinger.io showing a strong correlation with measurements from the conventional data logger, with deviations within a 1 $2 \%$ tolerance range. System testing over a full day (08:00-17:00) showed the solar panel achieved its peak performance around midday, with a maximum solar irradiance of $934.43 \mathrm{~W} / \mathrm{m}^{2}$ (at 12:00) producing 56.04 W, and a peak conversion efficiency of $19.0 \%$ (at 12:30). In conclusion, the developed Thinger.io-based system proves to be a reliable and effective solution for overcoming the limitations of manual measurements, providing a practical tool for real-time performance evaluation. This system is highly applicable for continuous monitoring in smallscale solar power installations and educational laboratories, contributing to the optimization and broader adoption of PV technology.
DEVELOPMENT OF PASSIVE COOLING WITH PERFORATED PLATES AND REAL-TIME MONITORING FOR PV EFFICIENCY IMPROVEMENT Armin Sofijan, Riman Sipahutar, Wirawan Adi Pradana, Baginda Oloan Siregar, Irwin Bizzy, Siti Sailah, Feby Ardianto, Surya Darma, Ananda Putri Kamila, Vina Alya Dhafia Eastern European Journal of Enterprise Technologies, 2025 This study focuses on enhancing photovoltaic (PV) module performance through the development of a passive cooling method using perforated aluminum plates, supported by a real-time monitoring system. The core problem addressed is the thermal inefficiency of PV modules operating in hot, humid environments, where heat accumulation lowers energy output. A real-time data acquisition system was developed using Arduino to monitor voltage, current, surface temperature, humidity, and solar irradiance. Four identical polycrystalline PV modules were tested; three were equipped with aluminum plates of varying perforation diameters (10 mm, 12.5 mm, 15 mm), while one remained uncooled as a control. The results showed that the module with 15 mm perforations had the best performance, achieving a 61.04 W output under peak irradiance (1404 W/m2) and reducing surface temperature by nearly 10°C. These outcomes demonstrate that enhanced natural convection and evaporative effects, enabled by the larger perforations, significantly improved thermal regulation. The synchronized monitoring system validated the temperature-power relationship by capturing environmental dynamics in real time. Due to its energy independence, low cost, and simplicity, this integrated solution is particularly applicable in tropical regions or off-grid installations. The findings establish a practical basis for scalable deployment of passive cooling in PV systems, especially where active cooling is unfeasible
Power and Energy Optimization of Carbon Based Lithium-Ion Battery from Water Spinach (Ipomoea Aquatica) Budi Santoso, Muhammad Ammarullah, Sri Haryati, Armin Sofijan, Muhammad Djoni Bustan Journal of Ecological Engineering, 2023 Currently, lithium-ion batteries still use electrodes from graphite, which is a natural resource for non-metallic minerals. As a sustainable plan, research on the manufacture of lithium-ion batteries based on biomass electrodes has prospects for commercial development. In this study, carbon stems of water spinach (Ipomoea Aquatica) were used as electrodes on the battery. Water spinach is processed into nanocarbon by hydrothermal method and pyrolysis. The size of the nanocarbon particles from water spinach in this study was 200 mesh resulting from the grinding method. The type of battery made is a bag battery with a size of 8 cm x 12 cm by performing variable optimization by using a concentration of 50% LiCl/Li2SO4 electrolytes media, Polyure-thane/Polyacrylate binder, and Triethylamine/Non-emulsifier. The highest power and energy values are generated from carbon based lithium-ion batteries from water spinach with LiCl electrolyte media, Polyurethane binder, and Triethylamine emulsion which is 5.404 W and 4.511 W.h.
Experimental Analysis of ACP on Photovoltaics as Free Convection for Increasing Output Power Armin Sofijan Przeglad Elektrotechniczny, 2022 Wydawnictwo SIGMA-NOT wydaje czasopisma fachowe informujące swoich czytelników o najnowszych osiągnięciach naukowych i nowoczesnych rozwiązaniach technicznych w Polsce i na świecie, popularyzuje problemy techniczne oraz poszerza wiedzę i kulturę techniczną.
A Preliminary Study of Decision Support Model of Photovoltaic for Village Area in South of Sumatera Feby Ardianto, Ermatita Ermatita, Armin Sofijan, Vina Ayumi, Handrie Noprisson, Mariana Purba Proceedings 4th International Conference on Informatics Multimedia Cyber and Information System Icimcis 2022, 2022 Indonesia has a very high potential for solar energy irradiation, including in 66 countries in the sunbelt area. This can be alternative for power generation system that converts energy sources from solar radiation into electricity through solar cells or photovoltaic cells. This research goal is to develop an initial decision support model for the photovoltaic village area in South Sumatra, Indonesia. This research was conducted six months in Pandan Arang Village, Kandis District, Ogan Ilir Regency, South Sumatra. As the result, the proposed model is consisted of four sub-system, including photovoltaic system, data logger, database management and decision support system. Based on the results of experiments on solar panels with the parameters of current, voltage and light intensity, the highest value of light intensity was 1989.1 W/m2, while the voltage and current of 15.49V and current of 14.91 A were displayed through a 16x2 LCD display which served as information display in real time. The expected result in this study is an alternative fault detection PV system in the form of normal conditions, shadows, and overloads.
Development of liquid smoke production process as a latex coagulant by utilizing a refrigeration machine Riman Sipahutar, Diah Kusuma Pratiwi, Irwin Bizzy, Armin Sofijan, Baiti Hidayati Iop Conference Series Materials Science and Engineering, 2020 This study aims to obtain a method of producing liquid smoke as a latex freezing material using a pyrolysis reactor equipped with a counter flow condenser with a cold water cooling medium. The raw materials as local wisdom studied were coconut shells and oil palm shells, abundant in South Sumatra. The condensation process uses a shell and tube type heat exchanger with counter flow. The raw materials were pyrolyzed with time variations of 180, 240 and 300 minutes. The production of liquid smoke with a pyrolysis duration of 300 minutes has the highest yield values of 36,66% and 29,74%, respectively, for the the raw materials of oil palm shell and coconut shell. The average amounts of tar separated from liquid smoke in a settling tank are 8.13% and 8.08%, respectively, for raw materials of oil palm shell and coconut shell.
The cooling effect of polycrystalline type PV panels using perforated aluminum plates I Bizzy, R Sipahutar, D Puspitasari, A Sofijan, M A Fajri Iop Conference Series Materials Science and Engineering, 2020 A study has been conducted to improve the efficiency of Polycrystalline type PV panels. This research was conducted at the Energy Technology Research Laboratory, Engineering Faculty, Sriwijaya University, South Sumatra, Indonesia. The disadvantage of PV panel, when receiving solar radiation, it will increase the temperature of the PV panel but decrease the efficiency. This study uses a perforated aluminum plate with hole diameter of 2.5 mm. The plate is placed behind the PV panel. The dimensions of the plate are 960 mm x 600 mm x 20 mm and the number of holes of 1457. The specifications of PV panels are 1020 mm x 670 mm x 30 mm, Polycrystalline type PV panels, maximum power of 100 WP. The results showed that the PV panels given a perforated aluminum plate cooling had higher efficiency than those not given perforated plate cooling.