278 research outputs found

    A Comparative Study of Vector Control and Model Predictive Control Technique for Grid Connected Battery System

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    Advancements made to battery energy storage technologies have led to increasing integration of battery systems with the grid. This paper presents a comparative study of the well-established vector control technique and the model predictive current control technique as applied to the grid connected battery systems. An electrical equivalent model of the battery is modeled and integrated with the grid using a three- phase bidirectional converter. The comparative study is shown for bidirectional flow of power to charge/discharge the battery from the grid. Also, the effects of model predictive control versus vector control technique are analyzed at an event of grid fault. Asymmetrical and symmetrical grid fault is considered for the comparison. All the modeling and simulation is performed in PSCADTM/EMTDCTM. The results are plotted using MATLAB R2017a. The results show that the model predictive control technique performs as good as the vector control technique for a battery connected grid system

    Risk Assessment and Management in Construction Industries

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    This paper aims to deal with construction industry risks. It deals with all type of construction industry types such as small house, malls, and huge buildings. Many accidents can be happened in the sites, so it is important that appropriate measure are taken into consideration to help in curbing the menace to improve safety in the working environment both within and the surrounding. The researchers concluded that the risks which can be avoided should be avoided to reduce the number of accidents that happen in the working environment. Rules and regulations that are clear and well understood by the workers are important in eliminating or reducing hazards experienced within the working environment. With adequate training and strict policies put in place, it is possible to deal with the risks at the workplace. The management should take responsibility and consider it as a necessity to introduce adequate measures and policies that can govern all activities undertaken in construction sites

    Hybrid Power Systems for Commercial Application in Kenya

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    The cost, availability and stability of power are parameters that greatly define the quality of energy supplied by a generating system. A hybrid power system with different sources of energy must be properly designed in order to capitalize on the positive features of the deployed resources. Hybrid power system optimization is a process that allows for deliberate attainment of desired output from a power system. In this paper, a learning institution, East African School of Aviation (EASA) was selected as a case study for investigating the outcome of harnessing local energy resources to serve a commercial consumer in Kenya. A cost competitive hybrid power system was obtained through Simulation and optimization processes

    Growth Inhibition of Various Pathogenic Microorganisms Using Effective Microorganisms (EM)

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    In recent years, researchers focus on treatment of wastewater using low-cost treatment processes. Several studies showed that using effective microorganisms (EM) is a promising technology in the treatment of wastewater. However, the treatment mechanism using EM is not clear. In this study, the effect of EM towards several pathogenic microorganisms was investigated to examine its ability to inhibit their growth. The results showed that EM has the ability to inhibit the growth of pathogenic bacteria such as Escherichia coli, Pseudomonas aeruginosa, and Streptococcus faecalis; while no effect was detected on fungi that were examined.  &nbsp

    FPGA Based Implementation of Cascaded Multi-level Inverter with Adjustable DC

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    In this paper, total harmonic distortion (THD) minimization problem for cascaded H-Bridge multilevel inverters (CHB-MLIs) with unequal DC sources is studied, which the DC voltage levels of CHB-MLI is considered to be dependent on switching angles. Two forms of variations are proposed for DC voltage, considering corresponding switching angles. A simplified THD formulation, independent from the DC voltage is presented. Both Homotopy method and Genetic Algorithm is applied for THD minimization using Selective Harmonic Elimination PWM (SHEPWM). The results show less THD results using GA. The simulation results are demonstrated by experiments on a seven-level inverter controlled by Xilinx SPARTAN3 FPGA (XC3S400-PQG208). The results show that switching angles for minimum THD can be considered constant for desired fundamental voltages

    Application of Big Data in Decision Making for Emergency Healthcare Management

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    Application of big data in healthcare has enhanced efficiency and decision making. This is of critical benefit to patients, healthcare professionals and the healthcare institution. Although various research studies have examined the application of big data analytics in healthcare, few studies have explored its application in emergency medicine. This research study explored the application of big data in emergency medicine in facilitating decision making among paramedics and other healthcare practitioners. Appropriate research studies were identified and reviewed systematically to explore the theme of the study. The study found that big data promoted decision making in emergency medicine through the predictor models, which enabled the healthcare practitioners make informed judgments concerning patient care

    Comparative Analysis of Control Techniques for PWM Rectifiers in Grid Connected Distributed Generation Systems Based on VOC and DPC

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    This paper presents Virtual flux based and Voltage based control schemes for PWM rectifiers in grid connected distributed generation systems from renewable sources are presented. In particular, the so-called Voltage Oriented Control (VOC), Direct Power Control (DPC), two DPC based techniques to minimize the Common Mode (CM) emissions called DPC-EMC1 and DPC-EMC2 set up by the authors and their versions based on virtual flux. All the described techniques have been implemented using MATLAB/Simulink® (Classic version 8.2 Release name (R2013b)) and compared with each other. Theoretical background with results of simulations is provided. The advantages and disadvantages of the individual control strategies are documented

    Face Recognition System Based on Kernel Discriminant Analysis, K-Nearest Neighbor and Support Vector Machine

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    Although many methods have been implemented in the past, face recognition is still an active field of research especially after the current increased interest in security. In this paper, a face recognition system using Kernel Discriminant Analysis (KDA) and Support Vector Machine (SVM) with K-nearest neighbor (KNN) methods is presented. The kernel discriminates analysis is applied for extracting features from input images. Furthermore, SVM and KNN are employed to classify the face image based on the extracted features. This procedure is applied on each of Yale and ORL databases to evaluate the performance of the suggested system. The experimental results show that the system has a high recognition rate with accuracy up to 95.25% on the Yale database and 96% on the ORL, which are considered very good results comparing with other reported face recognition systems

    Real-Time Digital Simulators: A Comprehensive Study on System Overview, Application, and Importance

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    The multifarious improvements in computational and simulation tools have brought tremendous progress in the field of designing, testing and analyzing technologies. In this paper, the technological aspects and the concept of modern real-time digital simulators are presented. The real-time simulator functions in real time, thus it produces continuous output that realistically represents the conditions of a real system. Also, in a real-time simulator the user can test physical devices. Therefore, it is of great importance to understand the features and roles of the advanced simulator technologies. Also, User-friendly system interface, easy application in system design and testing, and most importantly cost effectiveness are the most desire features for implying these simulator into a research. Therefore, this paper summarizes all significant features by considering the above-mentioned facts of some most popular, globally, and commercially available simulator technologies. Real Time Digital Simulators (RTDS), OPAL-RT, Network Torsion Machine Control (NETOMAC), dSPACE, Real-Time solution by MathWorks (xPC target, Real-Time Windows target), Power_system Online_simulation Unveil Your Analysis (POUYA) Simulator and Typhoon HIL Simulator are discussed in this review paper based on the accessibility of information. A summarization of these simulators’ background, hardware, software and communication protocols are presented. Applications of these above-mentioned simulators are also added to understand the potentials of these simulators

    Space based solar power versus ground based solar power

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    This paper aims to give a comparison between space based solar energy and ground based solar energy ,their efficiencies and the cost of transporting a specially designed solar power plant into space with current technology. Also this paper will suggest a ways to transmit energy received by the solar power plant at space back on earth. It is a scientific approach to determine which method is better in terms of efficiency and the practicalities such as cost and reliability of the method. The efficiencies of technologies used will be of the highest order that humanity has ever created. This study’s conclusion indicates that space based solar power has a huge leap when compared to ground based solar power. Further research must be done to elevate this idea. &nbsp
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