scholarly journals Stand-Alone Data Logger for Solar Panel Energy System with RTC and SD Card

2018 ◽  
Vol 1028 ◽  
pp. 012065 ◽  
Author(s):  
Mokh. Sholihul Hadi ◽  
Arif Nur Afandi ◽  
Aji Prasetya Wibawa ◽  
Ansari Saleh Ahmar ◽  
Kurniyawan Hardi Saputra
Author(s):  
Asif Ur Rehman ◽  
M. Tariq Iqbal

This paper presents an open-source, ultra-low powered data-logger for off-grid photovoltaic (PV) energy systems. Deep-sleep mode of ESP32-S2 microcontroller is used along with voltage, current, and light sensors for logging the data of PV energy system to an external micro SD card. A toggle switch is used to switch the operational modes of data-logger between deep-sleep and web-server modes. Real-time PV data can be monitored in a local web-portal programmed in the microcontroller. The same web-portal is also used to check and download the historical data of a PV energy system. The energy consumption of the designed system is 7.33mWh during deep-sleep mode and 425mWh during the web-server mode. The total cost of the designed data-logger is C$ 30.


2018 ◽  
Vol 6 (2) ◽  
pp. 246-254
Author(s):  
Rajeev Ranjan ◽  
Mahesh kr Nagar ◽  
M.Nithin Choudary ◽  
M.K. Paswan ◽  
Manish Kumar

This paper presents a techno-economic assessment for a unique Isolated Hybrid Power System (IHPS) design which could be used for remote areas isolated from the grid which also has the capability of being operated as a smart the hybrid energy system considering solar and wind energy sources for the purpose of street lighting. Solar-Wind Street light is an intelligent, small scale, and off grid LED lighting system. The modelling design and simulations were based on Simulations conducted using the Data collected and HOMER Energy Planning and Design software tools. Its components are solar panel, wind generator system (PVC blowers), Dynamo, LDRs, battery, LED light, charge controller. The energy stored in battery during day time due to solar panel, get extracted by LEDs during the night time (because LDRs get activated due to absence of sun light). Wind also charges the batteries due to wind which is used for glowing street light. The advantage of this idea is to avoid daily running cost and make the system purely off-grid. In this prototype, we have used 12V DC system to supply energy to the lights.


Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2481 ◽  
Author(s):  
Cao ◽  
Esangbedo ◽  
Bai ◽  
Esangbedo

Selection of the most appropriate contractor for the installation of solar panels is essential to maximizing the benefit of this renewable, sustainable energy source. Solar energy is one of the 100% renewable energy sources, but implementation may not be very simple and cost-effective. A key phase in the implementation of renewable energy is the evaluation of contractors for the installation of solar panels, which is addressed as a multi-criteria decision-making (MCDM) problem. A new hybrid method is proposed that combines the stepwise weight analysis ratio assessment (SWARA) and full consistent method (FUCOM) weights that are represented as grey numbers used with traditional grey relational analysis (GRA) and evaluation based on distance from average solution (EDAS) methods. The ranking of contractors by both methods is the same, which confirmed the results presented in this research. The use of the grey SWARA-FUCOM weighting method combined with the GRA and EDAS methods increased the decision-makers’ (DMs) confidence in awarding the installation of the solar panel energy system to the top-ranked contractor.


2018 ◽  
Vol 7 (3.18) ◽  
pp. 11
Author(s):  
Musse Mohamud Ahmed ◽  
Mohammad Kamrul Hasan ◽  
Mohammad Shafiq

The main purpose of this paper is to present a novel idea that is based on design and development of an automatic solar tracker system that tracks the Sun's energy for maximum energy output achievement. In this paper, a novel automatic solar tracking system has been developed for small-scale solar energy system. The hardware part and programming part have been concurrently developed in order for the solar tracking system to be possible for it to operate accurately. Arduino Uno R3, Sensor Shield V4 Digital Analog Module, LDR (Light Dependent Resistor), MPU-6050 6DOF 3 Axis Gyroscope has been used for tracking the angular sun movement as shown in Fig. 1. Accelerometer, High-Efficiency Solar Panel, and Tower Pro MG90S Servo Motor have been used for the hardware part. High-level programming language has been embedded in the hardware to operate the tracking system effectively. The tracking system has shown significant improvement of energy delivery to solar panel comparing to the conventional method. All the results will be shown in the full paper. There are three contributions the research presented in this paper which are, i.e. perfect tracking system, the comparison between the static and tracking system and the development of Gyroscope angular movement system which tracks the angular movement of the sun along with another tracking system.  


2016 ◽  
Vol 13 (1) ◽  
pp. 42
Author(s):  
Asriyadi Asriyadi

Penelitian ini merupakan penelitian awal dari Rancang Bangun Sistem Data Logger Pada Solar Panel yang bertujuan untuk merancang dan menguji serta  mengevaluasi sensor-sensor  yang digunakan nantinya pada modul sistem data logger pada Solar Panel. Dimana, modul (hardware) dan aplikasi (software) data logger yang bisa digunakan untuk mengukur parameter panel surya yaitu tegangan, arus, suhu, dan cahaya yang berbasis LabVIEW dan myRIO. Metode yang digunakan pada penelitian ini adalah metode studi literatur, perancangan alat, dan metode analisis data. Modul dan aplikasi data logger menggunakan empat sensor, yaitu sensor tegangan (FZ0430), sensor arus (ACS712 20A), sensor suhu (LM35), dan sensor cahaya (LDR). Penelitian ini menggunakan device myRIO sebagai interface dan keluaran dari keempat sensor ini akan ditampilkan pada LabVIEW yang merupakan aplikasi virtual instruments. Dari Hasil pengujian dan pengukuran untuk masing-masing sensor memperlihatkan hasil yang baik dimana hanya memperlihatkan error yang kecil, misalnya pada sensor tegangan untuk tegangan input 12 volt maka keluaran dari myRIO sebesar 12,02 volt, pada sensor arus pada saat tegangan input sebesar 12 volt hasil pengukuran menggunakan Amperemeter menunjukkan nilai 0,184A dan arus keluaran myRIO sebesar 0,18412A, pada sensor suhu pada saat pukul 11.00 WITA hasil pengukuran thermometer sebesar 33°C dan hasil myRIO menunjukkan 33°C, sedangkan pada sensor cahaya hasil pengukuran pada lux meter menunjukkan 763 lux dan hasil myRIO sebesar 772,9678 lux.


2021 ◽  
Vol 16 (3) ◽  
pp. 329
Author(s):  
Bambang Sudjasta ◽  
Purwojoko Suranto ◽  
Donny Montreano ◽  
Reda Rizal

The purpose of this study was to design a 3 Gross Tonnage (GT) fishing boat with a speed of 6 knots to obtain the shape and size of the vessel that is suitable for the water area that using the solar panel energy system. The ship was planned to travel about a maximum of 18 Km from the departure point. The steps of the research method for the design of fishing vessels include determining the principal size of the ship, making line drawings, drafting a general plan, construction design, ship tonnage capacity, electricity requirements, and then designing solar panel energy systems. This research resulted in a ship design with a length of 8 meters, 1.75 meters wide, and 1.3 meters high. Those specifications are used as constraints to determine the number of solar panels and batteries. To satisfy all of the goals, the 3 GT boat has limited 0.9KWh solar panels to travel for 9.7 NM (18 KM) at a speed of 6 knots, forcing daytime and night fishing fishermen to idle for 1 day. The difference is in the number of night fishing batteries that are 49% more than the daytime fishing which using 25 pcs 3.2V 100Ah. With the use of 51 pcs of battery, night fishing can move into daytime fishing so that it can fish more frequently than night fishing mode only


2021 ◽  
Vol 8 (1) ◽  
pp. 1-5
Author(s):  
Arizal Maulana Pratama ◽  
Ajeng Bening Kusumaningtyas ◽  
Ferdian Ronilaya ◽  
Sapto Wibowo

This research discusses the design and manufacture of a voltage sag detection device using a data logger system. Voltage sag detection device to detect the presence of voltage sag which is one of the power quality problems in industrial electrical systems. Voltage sag can cause disturbances in electronic components that are sensitive to changes in voltage values. In this device, the voltage sag is detected using a voltage sensor by reading the RMS voltage from the PLN 220V AC source, then it is converted into a digital signal. The digital signal is sent to the ESP32 module to be processed and outputs a voltage value which is then displayed on the LCD Display. The voltage value data collection is carried out every <10ms and the data taken is the voltage value <90% of the rms voltage. The data taken is then saved to a micro SD card and displayed on the LCD Display. Several tests were carried out to ensure the performance of the voltage sag detector as designed. By switching the 110 / 220VAC transformer connected to the voltage sensor for 10 seconds, 12 seconds and 17 seconds. Based on these tests, the voltage sag detector can read and store the voltage sag data when the voltage read is below 90% of the rms voltage.


2020 ◽  
Vol 12 (10) ◽  
pp. 4278 ◽  
Author(s):  
Pratibha Rani ◽  
Arunodaya Raj Mishra ◽  
Abbas Mardani ◽  
Fausto Cavallaro ◽  
Dalia Štreimikienė ◽  
...  

The age of industrialization and modernization has increased energy demands globally. Solar energy has been recognized as an inexhaustible source of energy and has been applied for desalination and electricity generation. Among different non-conventional energy resources, Solar Energy (SE) is one of the main contributors to the global energy system. A photovoltaic system (PS) is applied to produce SE using photovoltaic cells. The selection of a solar panel includes many intricate factors involving both subjective and quantifiable parameters; therefore, it can be regarded as a complex Multi-Criteria Decision-Making (MCDM) problem. As the uncertainty commonly occurs in the selection of an ideal solar panel, the theory of Pythagorean fuzzy sets has been proven as one of the flexible and superior tools to deal with the uncertainty and ambiguity that arise in real-life applications. The aim of the study is to present an MCDM framework for solving the Solar Panel Selection (SPS) problem within the Pythagorean fuzzy (PF) environment. For this, first, a new integrated method is proposed based on the Stepwise Weight Assessment Ratio Analysis (SWARA) and VlseKriterijumska Optimizcija I Kaompromisno Resenje (VIKOR) approaches in the Pythagorean fuzzy sets (PFSs) context. In the proposed approach, subjective weights of the evaluation criteria are calculated by the SWARA method, and the preference order of alternatives is decided by the VIKOR method in the PF context. The criteria weights evaluated by this approach involve the imprecision of experts’ opinions, which makes them more comprehensible. The computational procedure of the proposed methodology is established through a case study of the SPS problem under PF environment, which proves the applicability and efficiency of the proposed method. Furthermore, this study performs sensitivity analysis to reveal the stability of the developed framework. This analysis signifies that the solar panel option R4 constantly secures its highest ranking despite how the parameter values vary. In addition, a comparative study is discussed to analyze the validity of the obtained result. The results show that the proposed approach is more efficient and applicable with previously developed methods in the PFS environment.


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