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Optimalisasi Desain Sistem Photovoltaic untuk Elektrifikasi Sumur Minyak Terpencil Menggunakan PVsyst Muhtadi, M Zaky Zaim; Naufal, Muhammad Mirza; Pujianto, Pujianto; Hamdani, Chalidia Nurin
Elposys: Jurnal Sistem Kelistrikan Vol. 12 No. 1 (2025): ELPOSYS vol. 12 no. 1 (2025)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v12i1.6621

Abstract

Sustainable power management in remote oilfield operations faces significant challenges due to grid dependency. This study evaluates a photovoltaic microgeneration system implementation at PT XYZ's oilfield facility using PVsyst simulation software. The methodology incorporates site-specific parameters to optimize system configuration for grid integration. Results show that a 4-unit monocrystalline photovoltaic array, receiving annual Global Horizon irradiation of 2008.9 kWh/m² and Global effective irradiation of 1893.9 kWh/m², achieves 2446.3 kWh/year generation capacity with 1974.6 kWh/year available for consumption. This microgeneration system meets 53.3% of the facility's 3706.9 kWh annual demand, with a Performance Ratio of 0.619, demonstrating significant potential for remote oilfield applications. The system's performance indicates opportunities for enhancement through capacity expansion, smart grid integration, and implementation of advanced monitoring systems, offering a scalable model for similar remote facilities in the oil and gas sector.
Development of a low-cost microcontroller-based carbon capture device using the direct air capture (DAC) method and sodium hydroxide absorbent Hamdani, Chalidia Nurin; Muhajir, Muhammad Hafiz; Akhiriyanto, Novan; Muhtadi, M. Zaky Zaim; Rosalinda, Hanny Megawati
Jurnal Polimesin Vol 23, No 5 (2025): October
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i5.7229

Abstract

Currently, Carbon Capture, Utilization, and Storage (CCUS) systems are emerging as a significant focus in discussions of climate change. CCUS refers to a set of technologies designed to capture Carbon Dioxide (CO2) emissions from various sources and either utilize it for beneficial purposes or store it to prevent release into the atmosphere. CO2, the primary gas responsible for the greenhouse effect, is generated across multiple sectors, notably in energy and transportation. In Indonesia, the energy sector is the most significant contributor to CO2 emissions, accounting for 697.97 million tons in 2022. In this study, we have developed a cost-effective carbon capture device utilizing the Direct Air Capture (DAC) method. This device uses a microcontroller as the primary control unit, along with a compact closed chamber serving as the main reactor. Sodium hydroxide (NaOH) was utilized as the absorbent in our study. We conducted experiments on this device, keeping the NaOH concentration and reaction time fixed while varying the absorbent flow rate as the independent variable. The experiment yielded quite promising results. The absorption of CO2 is directly related to both the flow rate of the absorbent and the reaction time. The maximum CO2 absorption recorded is 3.960 ppm, achieved at a flow rate of 10 liters per minute with a reaction time of 5 minutes. The results have been reconfirmed by chemical titration.
Pemodelan Energi Listrik yang Dihasilkan oleh PV Menggunakan Metode Time Series dan Neural Network untuk Komparasi Yuliatin, Umi; Wardhana, Asepta Surya; Dewi, Astrie Kusuma; Hamdani, Chalidia Nurin
EDUKASIA Jurnal Pendidikan dan Pembelajaran Vol. 4 No. 2 (2023): Edukasia: Jurnal Pendidikan dan Pembelajaran
Publisher : LP. Ma'arif Janggan Magetan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62775/edukasia.v4i2.541

Abstract

Renewable energy sourced from the sun has become one of the focal points of alternative renewable energy as fossil energy reserves diminish. Solar energy, which is converted into electricity using photovoltaic technology, is influenced by several variables, particularly weather variables such as temperature, humidity, and solar radiation. This study involves modeling and forecasting the power output of a 100 Watt PV Solar system using Time Series Analysis and Neural Network techniques. The PV solar system is connected to various weather variable measurement sensors, such as a pyranometer, temperature sensor, and humidity sensor. The data collected from these sensors serve as input for calculating the power output of the installed 100 Watt PV system. The power output is observed on an hourly and daily basis. The modeling results indicate that the best model obtained using ARIMA with variables is ARIMA (0,0,2), incorporating all weather variables (Radiation, Humidity, Temperature*, Wind, and Light*) with a MAPE (Mean Absolute Percentage Error) of 2.91%. Meanwhile, for the best Neural Network (LSTM) model, the input variables of radiation, temperature, and intensity achieved a MAPE of 3.41%
RANCANG BANGUN SOFTWARE PERHITUNGAN UNTUK SISTEM METER TURBIN DENGAN METODE FUZZY Dewi, Astrie Kusuma; Mareta, Silvia; Hamdani, Chalidia Nurin
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 16 No. 1 (2022)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Custody transfer is an important activity in the oil and gas industry which requires high accuracy. In keeping the metering system in an accurate condition, dynamic testing is needed as an evaluation of the custody transfer metering system. In carrying out dynamic testing, software is needed so that calculations will be more accurate and minimize errors. Calculation software in the market is currently quite expensive and does not cover all the calculation needs needed in the field, it is necessary to make calculation software that suits your needs and has a low price. With this software, it is hoped that it can simplify the calculation process and speed up troubleshooting time when there is a measurement deviation because the data read in the flowcomp can be directly proven for its accuracy. In finding a correction factor, a method is needed that is able to determine the value between two known values. Fuzzy method is considered capable of solving these problems. Sugeno fuzzy method is suitable for use in this study because it has an output in the form of a constant. After testing several random samples, the results of the Sugeno fuzzy method have the greatest error on the MPMS API table, namely 0.00004. When compared with the interpolation method, the fuzzy method has the same results as the value generated by the interpolation method. So it can be concluded that the fuzzy method can be used as a calculation method in finding the correction factor.
Fuzzy logic-PLC-based controller for water treatment simulator system Dewi, Astrie Kusuma; Labatar, Gilbert; Hamdani, Chalidia Nurin; Wardhana, Asepta Surya
Jurnal Polimesin Vol 22, No 6 (2024): December
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i6.5606

Abstract

The constant demand for clean water is critical for both consumption and daily activities. A water pH control system is essential for regulating and determining the concentration of acid and base values in water. Research projects often employ a Programmable Logic Controller (PLC) control system with various control methods. This serves as the backdrop for the design of a water treatment simulator, which utilizes a fuzzy logic control system. Fuzzy logic control is a reliable method that produces effective and accurate output values. Experiments conducted on the designed water treatment simulator demonstrate this. Factors influencing the relationship between the solution pump response time and the normalized water pH results are the concentrations of the pH-UP and pH-DOWN solutions. The water treatment simulator is a lab-scale water pH control system simulation tool using a fuzzy logic control mode. It uses an Outseal PLC microcontroller, a pH sensor to measure pH, a DC pump, and a solenoid valve to control the output flow. The experimental results show a significant relationship between the initial pH value of the water measured and the response time of the solution pump. Data analysis shows a positive correlation where the further the pH concentration value of the water is from the normal pH state, the higher the response time value. Factors influencing the relationship between the solution pump response time and the normalized water pH results are the concentration of the pH UP and pH DOWN solutions. The concentration of the solution is set for a pH UP of 12.2 and a pH DOWN solution of 2.2.
Design Of Temperature System On The Electrical Tank Heater Using PLC Dewi, Astrie Kusuma; Sugirto, Ihrom; Hamdani, Chalidia Nurin; Septiani, Natasya Aisah
Jurnal Polimesin Vol 22, No 1 (2024): February
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i1.4228

Abstract

A temperature control system is required in any situationthat requires a certain temperature to remain stable.Likewise, in the electrical processtank heater that requires a control system, because the temperature is notby the set value will cause overheating it,causing the product temperature is not as desired and can even causea dangerous explosion. In this project, the design is carried outtemperature control on the prototype electrical tank heater usingPLC Nano V5.2 as the controller, and the control method used is fuzzy Sugeno.Fuzzy logic has a value of obscurity and obscuritybetween right and wrong and control systems. Membership value may varyfrom 0 to 1. This means a situation can have two values, “yes or no” and "right or wrong", so it seems as if there is a "gray" area. Fuzzy Sugenois a fuzzy inference method for the conditions represented inthe form of IF–THEN, where the system output is not a fuzzy set but a constant form. Test results on the prototype confirm that the systemcontrol with PLC as controller and fuzzy as control methodhas a good ability to adapt the time needed totake longer to reach a stable state at higher temperatures (33.5°C to 37°C).Then at lower temperatures (29°C to 33.5°C). Haiwell-capable interfaceschange set values, display real-time graphs, and send commands toset PWM.
Pengujian Sistem Pengendalian Temperatur pada Prototipe Heat Exchanger Berbasis PID Wardhana, Asepta Surya; Amelinda Azizah, Hana; Hamdani, Chalidia Nurin
Jurnal Otomasi Kontrol dan Instrumentasi Vol 13 No 2 (2021): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2021.13.2.3

Abstract

The design of a PID-based heat exchanger temperature control system means controlling the temperature of the cold water output of the heat exchanger that has been designed to match the set point value through PID (Proportional Integral Derivative) controller mode control. Temperature control is carried out by controlling the flow rate of hot water. When the set point of the heat exchanger cold water temperature is increased, the servo valve opens more so that the hot water flow rate increases. The system interface is done through Delphi 7 software which displays the display of numbers and graphs of the received process data. The PID controller mode parameter value is obtained through trial and error method. As a comparison, the ideal PID calculation is carried out using the direct synthesis method to be applied to the calculation of system control in the Arduino microcontroller. The ideal PID calculation requires bump test results from each process variable. The results of data analysis and interface graphs show that an increase in the set point from 25℃ to 32℃ at the temperature of the heat exchanger output water causes the servo valve opening to approach full opening and is in a hunting system condition when the temperature has reached the set point. From the test results obtained Time Constant 89.744 seconds, Settling Time 127.232 seconds and Rise Time 127.8 seconds.