scholarly journals An Intelligent Characteristics Analyzer of PV Module

2013 ◽  
Vol 61 (1) ◽  
pp. 65-70 ◽  
Author(s):  
Liton Kumar Biswas ◽  
Md. Habibur Rahman ◽  
Saiful Haque

This paper describes construction, development and testing of a low cost PV module characteristics analyzer. A computer-based, fully automatic characteristic analyzer has been designed and developed using locally available components. The system is capable of acquiring current and voltage of PV module by varying the operating point to draw the IV curve and to analyze the module characteristics. In this system, a Pico ADC-16 has been used to convert the analog data into digital. The module current and voltage is changed by using a transistor active load. The operating point of the active load has been changed by the analog output of a DAC and the DAC is driven by a digital counter. A driver program has been developed for the system using C language. Finally, the system was assembled and the characteristics of some PV modules of different power capacity have been studied. It is found that, the system is capable of finding characteristics of PV modules up to the capacity of 75Watt. Dhaka Univ. J. Sci. 61(1): 65-70, 2013 (January) DOI: http://dx.doi.org/10.3329/dujs.v61i1.15098

Author(s):  
Alice M. Crawford ◽  
Kent S. Crawford

The feasibility and effectiveness of teaching performance skills using a computer-based training (CBT) methodology were investigated. Graphic simulations of the appearance and functions of a system in an anti-submarine aircraft were presented to students within an instructional framework. Programmed logics controlled the dynamic representations of the equipment in response to student input made through a touch panel. The objective was to determine whether CBT could be used for low cost, part-task training. The performance of CBT students, as measured on a high fidelity simulator, was compared to that of students who had gone through conventional training consisting of workbook study and hands-on practice in the simulator. Results showed that CBT students performed the necessary skills as well before practice in the simulator as conventionally trained students could after this practice. The theoretical and cost implications are discussed.


The Solar PV modules are usually engaged in dusty environments which are the condition in many tropical countries like India. The dirt gets hoarded on the superficial of the PV module and chunks the photons from the sun. It decreases the generation ability of the PV module. The power output decreases the efficiency, if the PV module is not cleaned for a long time. In order to habitually clean the dust, an automatic cleaning system has been proposed, which senses the light energy from the sun on the solar panel and also cleans the PV module automatically. This system is realized with PIC16F877A microcontroller which controls the geared servo motor. This system consists of a sensor (LDR) to make it dusk to dawn. While for cleaning the PV modules, a mechanism consists of a sliding wipers has been developed. In earlier machinery, cleaning of PV panels was done manually. But here the PV panels has been cleaned by automatic system i.e. wiping mechanism with water flow for effective cleaning


2020 ◽  
Vol 9 (2) ◽  
pp. 480
Author(s):  
Chijioke Nwogu ◽  
Monday Eze ◽  
Charles Okunbor

The necessity for adequate security of lives and properties cannot be overemphasized. Tackling insecurity in an effective manner calls for active computer-based researches and solutions. Essentially a security system is designed to help detect intrusion and prevent unauthorized access. These security threats are tracked by installing various security access doors and alarm systems. Findings have shown that many access doors use either password or biometric form of authentication separately which are easily compromised. This paper presents a two level automated access control for door security with mobile alert system, powered by a 5V, 6000mAH battery. In addition a multi factor authentication using biometrics (fingerprint) and password was also used to enhance access control for this system. A mobile phone call alert and alarm system was uniquely included to this design to notify owners of the presence of an intruder when multiple attempts of incorrect login credentials are presented to the system over a short period of time. The program for the microcontroller was written in C language. This paper concluded that the use of multi factor authentication with mobile phone call alert will help improve the security for access doors used in banks, residential buildings, hospitals, military properties and other institutions and where confidentiality and restrictions are needed.


Author(s):  
Motlatsi C. Lehloka ◽  
◽  
James A. Swart ◽  
Pierre E. Hertzog

A photovoltaic (PV) module converts solar energy into electrical energy. In order to increase the output power of any PV module, several factors including tilt angle, orientation angle, load profile, environmental condition, latitude of the location site, and energy management techniques should be considered. It is essential to continuously deliver the highest possible power to a load for a given day, which may be achieved by using a tracking-type system as compared to a fixed-type system. The purpose of this paper is to present the results of an algorithm that may be applied to a dual-axis system located in an elevated plateau of the interior of South Africa in order to sustain a high output power. Two identical 310W PV modules were used for a fixed-type and tracking-type system. The fixed-type system was installed at a tilt angle of Latitude minus 10° serving as a baseline to the tracking-type system. A LabView user interface was developed to record and display the voltage and current measurements from the PV modules. Results indicate that the dual-axis tracking-type system extracted more power (on average 39.32% more power) as compared to the fixed-type system. A key recommendation is to use a linear regression algorithm with a tracking-type system to enable a higher output energy yield for a given day.


Author(s):  
David W. Bian ◽  
Julia A. Sokol ◽  
Janet H. Yun ◽  
Craig A. Mascarenhas ◽  
Chinasa Emeghara ◽  
...  

This paper details the development of a photovoltaic reverse osmosis water desalination system for a groundwater well in Bercy, Haiti. The well was constructed to provide potable drinking and agricultural water for the 300-person community. However, its water has a salinity level of 5,290 ppm, rendering it harmful for both human consumption and soil fertility. This reverse osmosis system is designed to be low-cost and operational off-grid while providing 900 gallons per day of desalinated water for the community. The system is composed of a photovoltaic power system, a submersible solar pump, and three reverse osmosis membranes. The system is designed to have a material cost significantly below that of any commercially-available system of similar scale. Furthermore, it has an average water production cost of $1.21/m3 and an average specific energy of 1.2 kWh/m3. Its performance was tested in the laboratory by connecting the desalination module to a DC power supply, demonstrating good agreement with its modeled performance. The installation of the full system with the PV module will take place on-site in the summer of 2016. Following implementation, the system will be monitored and compared against predicted performance. The first attempt is meant to serve as a verification and validation of the system as a whole. However, successful operation within the given cost target could pave the way for wider use of off-grid reverse osmosis systems at many remote locations with limited freshwater access around the world.


2018 ◽  
Vol 12 (2) ◽  
pp. 98 ◽  
Author(s):  
Jalaluddin . ◽  
Baharuddin Mire

Actual performance of photovoltaic module with solar tracking is presented. Solar radiation can be converted into electrical energy using photovoltaic (PV) modules. Performance of polycristalline silicon PV modules with and without solar tracking are investigated experimentally. The PV module with dimension 698 x 518 x 25 mm has maximum power and voltage is 45 Watt and 18 Volt respectively. Based on the experiment data, it is concluded that the performance of PV module with solar tracking increases in the morning and afternoon compared with that of fixed PV module. It increases about 18 % in the morning from 10:00 to 12:00 and in the afternoon from 13:30 to 14:00 (local time). This study also shows the daily performance characteristic of the two PV modules. Using PV module with solar tracking provides a better performance than fixed PV module. 


Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2308
Author(s):  
Kamran Ali Khan Niazi ◽  
Yongheng Yang ◽  
Tamas Kerekes ◽  
Dezso Sera

Partial shading affects the energy harvested from photovoltaic (PV) modules, leading to a mismatch in PV systems and causing energy losses. For this purpose, differential power processing (DPP) converters are the emerging power electronic-based topologies used to address the mismatch issues. Normally, PV modules are connected in series and DPP converters are used to extract the power from these PV modules by only processing the fraction of power called mismatched power. In this work, a switched-capacitor-inductor (SCL)-based DPP converter is presented, which mitigates the non-ideal conditions in solar PV systems. A proposed SCL-based DPP technique utilizes a simple control strategy to extract the maximum power from the partially shaded PV modules by only processing a fraction of the power. Furthermore, an operational principle and loss analysis for the proposed converter is presented. The proposed topology is examined and compared with the traditional bypass diode technique through simulations and experimental tests. The efficiency of the proposed DPP is validated by the experiment and simulation. The results demonstrate the performance in terms of higher energy yield without bypassing the low-producing PV module by using a simple control. The results indicate that achieved efficiency is higher than 98% under severe mismatch (higher than 50%).


Author(s):  
Cheyma BARKA ◽  
Hanen MESSAOUDI-ABID ◽  
Houda BEN ATTIA SETTHOM ◽  
Afef BENNANI-BEN ABDELGHANI ◽  
Ilhem SLAMA-BELKHODJA ◽  
...  

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