International Journal on Future Revolution in Computer Science & Communication Engineering
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Numerical Simulation and Modeling of Solar Power Plant Performance Assessment Under Variable Parametr Condition
The performance and economy of a solar photovoltaic system depends on location and geographic parameters. Predicting energy efficiency is important for effective planning and evaluation rates. The proposed study explores the performance evaluation of three interconnected geographically connected photovoltaic solar systems. In Jaipur, Kolkata and Chennai have been testing a 1 MW solar PV system for a year. Simulations were performed using PV Syst (a software tool developed by the University of Geneva) and hourly weather data was obtained from NASA and METEONORM. The loss map for energy production and calculations shows the significant impact of geography on the performance and economics of solar PV systems. The monthly performance of the system indicates the impact of changes in weather parameters on radiation and ambient temperature performance and energy system performance. In order to optimize system performance, the annual power generation per unit of electricity at different locations was compared and discussed
A Review on Control Strategies and Topologies of Multi Level Converter System
In recent decades, high-performance and medium voltage energy management for academia and industry have been attracted by multi-level converter topologies. In addition, the multi-level principle is used without decreasing the inverter power output to synthesise the harmonic distortion on the output waveform. For the reduction of harmonic distortion in the output waveform, the multi-level principle is used. The following topologies are presented: diode clamped inverters (neutral point clamped), condenser clamped (flying condenser), multi-level cascading (dc source, etc.) and the most effective modulation methods built for this converter category: multi-level, selective harmonic removal and space m vectors. A series of different topologies are given in this paper. Multi-level inverters have been gaining popularity in research teams and in the production of industrial applications for high and medium voltage applications for 20 years. Moreover, compared to a conventional converter, multi-level inverters can generate switched waveforms with reduced harmonic slopes. Recently, multi-level inverters have increased interest in their ability to generate high-quality wave forms at lower frequencies; the multi-level topology used in dynamic restaurant voltages reduces the harmonic distortion of the inverter output waveform without inverter output losses. By integrating control techniques for multi-level inverters, this paper discusses the most common topologies, making their implementations flexible in some power applications in many industrial areas
A Comprehensive Analysis on Solar PV Maximum Power Point Tracking Techniques
In this paper, electrical power is generated from solar energy using Solar PV cell. The system is designed with 1- KW PV module and connected with DC/DC converters with DC load.There are two main drawbacks with PV plants, the high cost of PV cells and their conversion efficiency. In the I-V characteristics of PV module which is non-linear but has a unique maximum power point. To increase or to maximize the output power of photo-voltaic system Maximum power point tracking (MPPT) techniques are used. These techniques give maximum output power, irrespective of the irradiation condition, temperature and load electrical characteristics. For the purpose of tracking the maximum power the MPPT techniques use some electronic converters. This paper presents comparative analysis of two well-known maximum power point tracking algorithms- perturb-and- observe (P&O), and Fuzzy Logic Control Technique (FLC) are utilized with DC-DC Buck-Boost converters to observe various output response like power and voltage and comparisons between the controlling techniques using FLC and P&O for Solar PV system which provides a convenient choice of right technique for DC micro grid system and find out the efficiency of the converter
Diagnosis of Bearing Fault Using Morphological Features Extraction and Entropy Deconvolution Method
It is observed that the bearing failure of rotating machinery is a pulse in the vibration signal, but it is mostly immersed in noise. In order to effectively eliminate this noise and detect pulses, a novel an image fusion technology based on morphological operators inference is proposed. The correctness of morphological operators lies in the correct selection of structural elements (SE). This report presents an effective algorithm for SE selection based on kurtosis, which makes the analysis free empirical method. When analyzing three different groups of faults, the results show that this method effectively and robustly generates impulse. It enables the algorithm to detect early faults too. Recently, minimum entropy deconvolution (MED) was introduced to the machine in the field of condition monitoring, to enhance the detection of rolling bearing and gear failures. MED analysis helps to extract these pulses and diagnose their source, namely defects bearing components. In this research, MED will be reviewed and reintroduced, Application in fault detection and diagnosis of rolling bearings. MED parameters are selected and its combination with pre-whitening. Test cases are presented to illustrate benefits of MED technology. The simulation has been done on MATLAB and a graphical user interface has been created for analysis of bearing and detection of bearing faults using morphological features
Design Simulation and Perfomance Analysis of Efficient Low Energy Adaptive Clustering Hierarchy Protocol in Wireless Sensor Network
Network life has been defined by the use of nodes to store, process and distribute information, which have restricted energy usage. In other words, all aspects of the node must be designed for extremely energy-efficient applications from sensor module to hardware and protocol. Diminished energy consumption by a factor of two will increase the system's overall utility by doubling the device life. In addition, the protocols should be robust against node failures, tolerant of defects and scalable to optimise device life to minimise energy dissipation. LEACH is the first protocol for network networks that utilises hierarchical routing to enhance network life. All nodes in a network are grouped into local cluster groups, with the cluster head being one node. Although all non-cluster head nodes transmit their data to the cluster head, the cluster head node collects data from all the cluster members, conducts data signal processing (e.g. , data aggregation) functions and transmits data to the remote baseline. As a cluster-head node, it thus takes much more resources than a non-cluster-head node. So all nodes that belong to the cluster lose communication power if a cluster-head node dies. In this research, we introduced clustering as a means of overcoming this energy efficiency problem. Detailed description on the process of LEACH protocols is available. The information on the simulation and the findings have also been discussed
Engineering and Communication: Towards the Integration of Critical Thinking into the Professional Development of Engineering Students
In this paper we will address an important but neglected aspect of the professional development of engineering student’s i.e. promotion of good Communication Skills along with Critical Thinking Skills. With the conspicuous presence of English as a Lingua Franca in every vein of successful growth of a professional, Engineering students find themselves always standing on the horizons of ‘Classic Dilemma’ of How to get selected. We will try to focus on the need of communication skills not only to get jobs but also to showcase the potential in an organization to gain permanent position
Design Simulation of Multilevel Neutral Point Clamped Inverter System for Solar Photovoltaic Applications
This paper presents design and simulation of Neutral Point Clamped multi-level inverter system connected to a solar photovoltaic system. The design of multilevel inverter is based on neutral point clamped topology. The improved space vector pulse width modulation enables better performance and output of the system in both qualitative as well as quantitative factor. The system is connected to solar photovoltaic system and the output is realized in the form of voltage and current from the output of inverter. In the present research the system is analyzed for high power application of the solar photovoltaic system. Simulation is done on MATLAB Simulink platform. The output obtained have shown promising and efficient result after the application of proposed topology
An Effective Low Power Ring Oscillator Based All Digital Phase Locked Loop
The All digital phase-locked loops (ADPLL) widely employed in the data communication systems including, but not limited to, the implementation of the frequency multiplication and clock synchronization circuits. A phase-interpolator is utilized for power consumption reduction by using TDC in a ring-oscillator in a fractional-N phase-locked loop. A predicted-phase-interpolation method is used to calculate the integer and fractional parts of the frequency-division-ratio and to find two interpolation clocks. The prediction method gives a significant power reduction in the proposed PIFC by enabling the use of low-frequency clocks for phase interpolatio
Sorting Technique- An Improvement towards HDD Utilization in HADOOP
A data is tremendously increasing everyday due to updates that are updated after a particular time interval. Therefore it is very hard to handle such a large data that is updated on common basis. Ample number of techniques was proposed in order to enhance the performance and efficiency. In this paper, a technique called as “sorting technique” is implemented so as to increase the mean value. Load of hadoop cluster will decrease in steeply manner when this technique is implemented. The results clearly defines the efficiency of the technique which is used and hence it also proves to be efficient than the traditional techniques
Ransomware- Its Prevention and Exclusion using Assorted Tools
Ransomware is similar to cyclone that creates data instability. The securely holded user data will be abducted. This has emerged as a malware through which user data is locked or encrypted till the ransom is paid. It is one of the fast evolving malware. Gaining income is the main motive of this ransomware. This paper focuses on various preventive measures to counter malice and can aid in eradicating ransomware. The paper also emphasize on various techniques and tools that can stamp out ransomware