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Arnawan Hasibuan
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Kampus Unimal Bukit Indah Jl. Kampus Unimal Bukit Indah, Blang Pulo, Kec. Muara Satu, Kabupaten Aceh Utara, Aceh, 24355, Indonesia
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INDONESIA
Journal of Renewable Energy, Electrical, and Computer Engineering
Published by Universitas Malikussaleh
ISSN : -     EISSN : 27760049     DOI : http://dx.doi.org/10.29103/jreece
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
Journal of Renewable Energy, Electrical, and Computer Engineering (JREECE) is a peer-reviewed and open access journal that aims to promote and disseminate knowledge of the various topics and area of Renewable Energy, Electrical, and Computer Engineering. The scope of the journal encompasses the following: Energy, Renewable Energy, Solar and Low Energy Architecture, Energy Conservation in Buildings, Climatology and Meteorology (Geothermal, Wave and Tide, Ocean Thermal Energies, Mini Hydro Power and Hydrogen Production Technology), Energy policy, Socio-economic and Energy Efficiency and Management, Electrics, Robotics, Embedded Systems, DCS & PLC, Signal Processing, Image Processing & Computer Vision, Artificial Intelligence, Big Data & Data Mining, Wireless & Network. Journal of Renewable Energy, Electrical, and Computer Engineering (JREECE) published periodically two times annually (March and September) by Institute for Research and Community Service, Universitas Malikussaleh, Indonesia.
Arjuna Subject : Energi (semua kategori) - Energi (Lain-Lain)
Articles 101 Documents
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Energy Audit and Electricity Load Prediction in Buildings using Artificial Neural Network Algorithm - A Case Study Hayu, Teuku Syaufi; Suriadi, Suriadi; Tarmizi, Tarmizi
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i1.14818

Abstract

The demand for electricity in Indonesia is continuously increasing due to the growing economy over time. In accordance with Presidential Instruction No. 10 of 2005 and Presidential Regulation No. 5 of 2006, regulations have been issued regarding energy conservation and national energy usage policies. Therefore, this paper discusses an electricity energy audit and predicts the electricity load at the PT. Telkom Indonesia Building in Lhokseumawe using Artificial Neural Network (ANN) algorithms. Energy audit involves the inspection, survey, and analysis of energy flows to identify energy-saving opportunities in buildings, aiming to reduce the input energy into the system without compromising system output. The research aims to identify electricity energy-saving opportunities. Additionally, the paper conducts predictions of electricity usage before and after the audit using the Artificial Neural Network (ANN) algorithm. Therefore, an audit of this load is needed. After inspecting the location, it was identified that the air conditioning units used exceed the required AC capacity. Consequently, a proposal for new devices is necessary to achieve potential electricity usage savings in the building. Based on the training and validation of the neural network using the Bilayered Neural Network (BNN) model with 3 layers, the most suitable model was obtained. The obtained values include an RMSE of 1210.7, R-Squared of 1.00, MSE of 1.4658e+06, MAE of 901.19, Prediction Speed ~1500obs/Sec, and Training Time of 4.8719 Sec. The results indicate potential savings of up to 17,023 kWh/month or 163,327 kWh/year. The required Payback Period to recover the invested capital is estimated at 14 months.
Root Cause Analysis of Electrical Faults in Industry & other Facility Ahsan, Md Shameem; Rahman, Md Khaledur; Ahmed, Manam; Tanvir, Faysal Amin; Islam, Md Saiful
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.14854

Abstract

The sole purpose of this analysis was to discuss the broader picture of fire incidents that occurred in industry due to electrical faults. Nowadays, fire incidents in industries as well as in residential and commercial buildings are a common case. Local and international print & electronic media report fire incidents every day. The fatalities are remarkable and also caused extensive property damage, and undoubtedly, it can be mitigated upon consideration of a few factors. This article identifies the exact causes of electrical faults, investigating previous fire incident reports in various industries and other possible reasons. During the past decades, there has been a noticeable change in infrastructure and industrial development worldwide. Because of land shortage and improper planning, the number of high-rise buildings in the industry sector increases without maintaining electrical standards, increasing fire incidents, fatality rates, and substantial property damages. Though strong laws, national and international standards, and regulatory measures existed, accidents occurred regularly. Also, there is no significant guideline for electrical product quality, run time, and materials selection, which plays a major role in fire incidents. This report anticipates understanding the lack in the existing system, considerable findings for installations, and extending to further studies to find out proper remediation.
Design and Analysis of a 10 MW On-Grid Solar Power Generation System in Lhokseumawe with Variation of Tilt Angle and Interrow Spacing Pratama, Nazmi Roan; Muthalib, Muchlis Abdul
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.14396

Abstract

The primary focus of this study is to develop a ground-mounted solar power generation system with the optimal tilt angle and inter-row spacing to generate electricity in Indonesia, specifically in Lhokseumawe City. The research involves conducting simulation tests using Meteonorm software for solar resource assessment. Additionally, the HelioScope software is employed for modeling the ground-mounted solar power generation system, analyzing the PV system's performance in terms of annual generation, system losses, and performance ratio, as well as studying the solar panel's performance, current-voltage, and power-voltage curves for varying irradiance levels. The Single Line Diagram (SLD) reveals that 12 strings are connected to each inverter, and the output power of inverters is combined using 20.0 A circuit interconnects. The efficiency of solar power generation systems is influenced by the tilt angle and interrow spacing. Based on the simulation results for all scenarios, it is concluded that the solar power generation system installed at 0° tilt angle with a 0.9-meter interrow spacing outperforms other solar power generation systems. This is attributed to the maximum total collector irradiance of 1731.6 kWh/m2 compared to other tilt angles. At 0° tilt angle, the annual production of the solar power generation system is 14.77 GWh, with a performance ratio of 80.6%. This research aims to provide valuable insights for energy system designers, planners, and investors, guiding the development of strategies for the implementation of solar power generation energy systems not only in Indonesia but also globally.
Empowering Youth for Sustainable Energy Consumption Arif, Nursida; Shrestha, Maria Emerita Indraningrum; Rahmawati, Laifa; Hidayati, Ulfa
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i1.13652

Abstract

This paper aims to assess the understanding and attitudes of youth towards energy conservation in Nepal and Indonesia. This research used a quantitative mixed methods approach, including questionnaires and focus group discussions with 101 Nepalese and Indonesian respondents. Qualitative data was obtained from the results of FGDs with 15 respondents from each country. The results show that the training has greatly impacted understanding related to energy conservation. Before being given the training, the level of awareness was 38%. After being given the training, it increased to 65%. The results of the FGD also show that this awareness program has opened the participants' eyes to become aware of energy saving and energy conservation, including water conservation. The study concludes that empowering young people to take action is critical to achieving sustainable energy consumption and highlights the importance of targeting consumer behavior to achieve sustainable energy savings and encourage sustainable consumption patterns. This study also provides insight into the potential of young people to encourage wise energy behavior throughout society and contribute to achieving sustainable energy consumption.
Performance Analysis of On-Grid Rooftop Solar Power Plant with 600 Wp Capacity Based on Data Logger Nrartha, I Made Ari; Mahendra, Aldi Aryanugraha; Sultan, Sultan; Ginarsa, I Made; Muljono, Agung Budi; Nababan, Sabar; Zainuddin, Abdullah; Hasibuan, Arnawan
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.18303

Abstract

One of the renewable energy power plants whose construction is very massive is the solar power plant (PLTS) because it can be built anywhere in Indonesia. The type of PLTS with cheap investment is the on-grid system. This study aims to analyze the performance of the 600 Wp on-grid PLTS based on data loggers. Data logger is a data recording system designed using an Arduino Nano microcontroller equipped with sensors such as a solar radiation sensor (PYR20), temperature and humidity sensor (DHT22), PV module temperature sensor (DS18B20), DC voltage sensor, DC current sensor (ACS712), real time clock (DS3231), AC digital wattmeter module (PZEM-004T 10 A) and Micro SD Card Mini to store measurement data. The data logger is set to store measurement data every 5 minutes. The results of sensor measurements after calibration have an average measurement error of 5.20%, 0.56%, and 0.68% for the PYR20 irradiance sensor, 50 V range DC voltage sensor, and DC current sensor (ACS712). Based on the results of data logger recording, the 600 Wp on-grid PLTS system has a PV module efficiency in the range of 2.45 - 19.2% with an average of 8.60%, and the inverter (smart microgrid inverter) has an average efficiency of 89.40%.
Load Balancing Techniques for Server Clustering in Cloud Environment: Systematic Literature Review Mayanda, Deara; Amaliah, Annisa Rizki; Raharja, Muhammad Ridwan Ali; Nurbojatmiko, Nurbojatmiko
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.14906

Abstract

The rapid development of cloud computing has a significant impact on increasing the workload on resources, which is often excessive and a major challenge in computing environments.  Load balancing is key to avoid overloading or underloading virtual machines, given the high user demand for service availability. There are several types of load balancing techniques, and this diversity poses its own challenges in selecting the optimal technique to address workload issues. This research presents a systematic literature review with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines to identify various load balancing techniques for server clustering in a cloud computing environment. The purpose of this research is to review previous research on load balancing techniques for server clustering in cloud computing by categorizing based on problems, solutions, research methods, objects, and research results. Research that uses the experimental method will be reviewed again to categorize the research results based on the load balancing matrix, namely response time, make span, resource utilization, migration time, fault tolerance, throughput, and cost. Various publishers, such as IEEE, Elsevier, Springer, Wiley, MDPI and Hindawi were explored as data sources. The research conducted generates more information about load balancing techniques for clustering servers in cloud computing and allows other researchers to fill the current research gap.
Performance Analysis and Techno-Economic Evaluation of Solar Energy Retrofitting for Coal-Fired Power Plant in Central Kalimantan Province Ali, Irfan; Hadiyanto, Hadiyanto; Wardaya, Asep Yoyo
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.16658

Abstract

The power generation sector contributes to climate change. Mitigation efforts are essential to ensure that the commitment to limiting the global temperature increase below 2°C stays on course. One option is to retrofit an existing power plant with new technology that allows integration with renewable energy. This study examines the incorporation of solar energy systems into the operational processes of coal-fired power plants. Utilizing solar energy to substitute steam extraction from high-pressure feed water heater No. 7. This study analyzes the performance of the power plant before and after the retrofit scenario within both power-boost (PB) and fuel-save (FS) modes. Performances under different load conditions also investigated. The results reveal that the thermal efficiency within both FS and power-boost (PB) modes increased up to 2 % compared to the base scenario. In both power-boost and fuel-save (FS) modes, there is a notable reduction in specific fuel consumption, with power-boost mode experiencing a decrease of 15.05 g/kWh and fuel-save mode showing a decrease of 15.75 g/kWh. Thus, the decreasing coal consumption implies reduced CO2 emissions within both FS and power-boost (PB) modes by 4.69 % and 4,94 %, respectively. Results under different loads show that the solar percentage and the rise in solar-to-electricity efficiency with decreasing loads. When operated in fuel-save (FS) mode, the proportions of solar electricity at VWO, 100%, 75%, and 50% load rates are 5.23 %, 5.53 %, 7.76%, and 11.92%, respectively. Moreover, the LCOE for solar electricity for both modes is 0.0267 USD/kWh, with expected investment returns of 5.87 years.
Economic Analysis for Using Solar Energy Implementation to Support the Development of Nusantara Capital Fadlillah, Muhammad Syamil; Suryani, Erma; Pramundito, Rahmatika Jagad
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.16470

Abstract

The dynamic simulation model for economic analysis of solar energy in the new Indonesia's capital named IKN is a computer system designed to evaluate the viability of solar energy as a power source in the new capital being developed in East Kalimantan. The model aims to assess the economic feasibility of solar energy implementation, addressing cost-effectiveness. Strategies include policy enforcement, land optimization, and population growth impacts. The model's validation showed an error rate ‰¤ 5% and error variance ‰¤ 30%, confirming its accuracy. Scenario simulations (most likely, pessimistic, and optimistic) forecasted varying returns on investment (ROI), indicating solar energy's profitability under different conditions. The optimistic scenario predicted the highest ROI of 42% by 2045, with a break-even point by 2026.
Efect of Antioxydants on Viscosity and Breakdown Voltage of Palm Oil Insulation Sitorus, Ronald A; Afrida, Yenni; Sinaga, Herman H; Irayani, Dewi A; Purwasih, Nining; Permata, Diah
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 1 (2024): March 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i1.16253

Abstract

Insulating oil is a type of insulator that is widely used as insulation in electrical equipment such as transformers. The insulating oil in the transformer functions as insulation in the transformer windings so that flashover does not occur and causes voltage leaks to the outside of the transformer, then the insulating oil also functions as a transformer coolant. Generally, the insulating oil used today is made from mineral oil which cannot be renewed so its availability is limited and may run out in the future. In an effort to reduce the use of mineral oil as a basic ingredient for insulating oil, it is necessary to develop a basic ingredient for making insulating oil, which can use vegetable oils such as crude palm oil (CPO) with the additive butylated hydroxytoulene added. In testing the suitability of crude palm oil with the addition of butylated hydroxytoulene additive as insulating oil, breakdown voltage testing was carried out using Megger OTS80Af and viscosity. Based on the test results, the highest breakdown voltage value was obtained for crude palm oil with the addition of butylated hydroxytoulene of 11.13 kV and a viscosity of 27.12 cSt. From the test results, it can be concluded that crude palm oil with the addition of butylated hydroxytoulene is not suitable for use as transformer insulating oil because it cannot meet the standard SPLN 49-91: 1982, the breakdown voltage of transformer insulating oil is 30 kV/2.5 mm.
Implementation of Industrial Internet of Things-Based Scalar Control Method Using PID Controller for Multiple Three-Phase Induction Motor Control Aditya, Angga Wahyu; Utomo, Restu Mukti; Alham, Nur Rani; Ramadhanu, Faisal Faizz
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 4 No. 2 (2024): September 2024
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v4i2.16702

Abstract

Developing industrial standard induction motor control devices is inseparable from the advantages and ease of implementation. Induction motor control has developed rapidly since the development of semiconductor technology, which allows for more efficient, flexible, and accessible settings. The third industrial revolution makes it easier to control induction motors by meeting device standards and data communication systems. The development of cloud technology and the industrial Internet of Things in the fourth industrial revolution makes it easier to quickly control multiple induction motors from various places. Industry-standard devices such as human-machine interface, programmable logic control, and inverters are used to determine the performance of multiple induction motors using a scalar method based on PID controllers with a mobile phone remote control. PID performance is analyzed under transient conditions by measuring the rise time value and overshoot percentage. Meanwhile, the parameters measured in steady-state conditions are the average steady-state error values. The parameters on the PID controller are adjusted intuitively. The parameters used in data collection consist of the first parameter with the value of  Kp=26,  Ki=14, and  Kd=12, and the second parameter with the value of  Kp=29,  Ki=15, and  Kd=0. The rise time value will increase along with the given speed reference. The overshoot percentage value depends on the speed reference and the PID parameter value. At the same time, the average steady-state error value is below 5% for almost all speed references under loaded and unloaded conditions.

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