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 New Method for Solving Fuzzy Linear Programs with Trapezoidal Fuzzy Numbers

Ganesan and Veeramani [Fuzzy linear programs with trapezoidal fuzzy numbers, Annals of Operations Research 143 (2006) 305-315.] proposed a new method for solving a special type of fuzzy linear programming problems. In this paper a new method, named as Mehar's method, is proposed for solving the same type of fuzzy linear programming problems and it is shown that it is easy to apply the Mehar's method as compared to the existing method for solving the same type of fuzzy linear programming problems

Numerical Simulation and Performance Analysis of Grid Connected Solar PV System in Indian Scenario

Renewable energy sources, as the name implies, are sources that can be renewed over time and are therefore inexhaustible resources since they are available in an infinite quantity. Water, biomass, solar, geothermal, and wind are among the most widely used renewable energy sources. Renewable energy sources are in high demand due to the continuing depletion of fossil fuel and oil reserves. Furthermore, these nonrenewable resources threaten the environment by increasing carbon dioxide levels in the atmosphere. Solar energy has been described as the best green energy resource with the greatest potential of all known renewable energy sources, and hence it can serve as the best substitute for conventional resources. Solar energy has gained a lot of attention in the last decade all over the world. As the most well-known field, it is the subject of numerous studies in order to extract the maximum amount of energy. The demand for solar energy is rising at an exponential pace because of its various benefits, including the absence of fuel costs, pollution-free activity, and low maintenance.The purpose of this research is to perform the numerical model of the 1MWp and 100 kWp   solar power plant for different manufacturing technology as well as locations. The research has been done using PV-Syst programming tool and it was utilized to create model of the plant and the research of losses and the demonstration of the proposed power station. Diverse assembling strategies and distinctive guidance plans have been used for the techno economic analysis of system

Broken needle in gluteal region following an intramuscular injection: a case report

Incidence of broken hypodermic needle in patients has been decreased because of superior manufacturing techniques. Breaking of hypodermic needle after intramuscular injection has been rarely reported. We report a case of broken needle in the gluteal region in a 36 years old woman following an intramuscular injection. Patient arrived in the emergency after 2 days of the episode. Patient was taken for surgery for removal of the needle. Initially attempts for removal of needle were made without use of image intensifier under local anaesthesia, but it failed as it was very difficult to locate the needle. Patient was taken up for surgery under spinal anaesthesia with the use of image intensifier. Broken needle was located and removed. The following case describes the management of broken hypodermic needle and suggests valuable guidelines for minimising the chances of undue complications arising due to needle migration

Internal Finishing of Aluminium Tube with Sintered Magnetic Abrasive

There has been a rapid growth in the development of harder and complex shapes to machine metals and alloys during the last few years. Conventional edged tool machining is difficult and uneconomical for such materials and degree of surface finish attainable is poor. In view of the seriousness of this problem, recently new non-conventional fine machining processes like Magnetic Abrasive Polishing, Magnetic Abrasive Flow Machining (MAFM), Magnetic Float Machining (MFM) and Magnetic Abrasive Machining (MAM), Magneto ndashRheological Machining (MRM), Chemo-Mechanical Polishing (CMP) have been developed. Among these processes lsquoMagnetic Abrasive Finishing processes are widely used for obtaining quality finish on metallic (ferrous and non ferrous) as well as non metallic (ceramics) components. MAF process has been recently used in its variant forms such as Magnetic float polishing, Magneto-rheological machining, Electrolytic magnetic polishing but the problem of development of magnetic abrasive powders is still present and efforts are in continuous progress at global to remove this problem.nbspIn the MAF method, a magnetic field is used to generate cutting force to treat the surface of a machined part. The magnetic field helps to form a flexible magnetic abrasives brush for finishing of surface.nbsp Finishing force can be controlled with magnetic field and a low surface temperature is generated during finishing operations. Magnetic abrasives are not easily available. Very few studies have been reported till date on the development of alternative magnetic abrasives. The aim of study is to evaluate the performance of developed sintered magnetic abrasives for internal finishing of aluminium tubes using MAF process. PISF is calculated nbspconsidering different variables like speed (rpm) , quantity of abrasive and gap of magnetic pole and work piece.nbsp Preparation of sintered magnetic abrasive was difficult and time consuming. The best result came at 425 rpm and quantity of abrasive used 6 gm. PISF value obtained in present case was 84 % . nbs

GEARS: Group Employee Automatic Rideshare System

This project involves the system analysis and design of a ridesharing application aimed to reduce driving costs and offer a green alternative to the traditional workweek commute. GEARS (Group Employee Automatic Rideshare System) is an incentivized carpool solution for employees. In partnering with a company’s Human Resource Department, GEARS generates rideshare matching opportunities between coworkers. GEARS includes a reward system for employee participation, which leads to the broader benefits of reducing traffic, of decreasing fuel consumption, and of fostering stronger working relationships. This analysis includes an investigation of current carpooling options, a cost analysis of building the GEARS system, the system’s technical specifications as well as system design/diagramming techniques using UML (Unified Modeling Language). Construction and implementation of this project is to be completed in June 2022

Donor-Acceptor Conjugated Molecules: Charge Transfer, Mechanism and Significance

ABSTRACT Donor-acceptor molecules with charge transfer behavior have received a great deal of attention because of their critical role in industrial and biological applications. In this context, numerous studies on the donoracceptor molecules were carried out in recent years. In this article, some of the mentioned aspects have been discussed in detail

Rv1288, a Two Domain, Cell Wall Anchored, Nutrient Stress Inducible Carboxyl-Esterase of Mycobacterium tuberculosis, Modulates Cell Wall Lipid

Rv1288, a conserved hypothetical protein of M. tuberculosis (M.tb), was recently characterized as two-domain esterase enzyme by in silico study. In the present study, Rv1288 and its domains (Est and Lyt) were cloned individually from M.tb into E. coli for expression and purification. The purified rRv1288 and rEst proteins exhibited lipolytic activity with medium chain length esters as optimum substrates, while Lyt domain did not show enzymatic activity. However, presence of Lyt domain resulted in enhanced rate of protein aggregation at higher temperature. Both rRv1288 and rEst followed the similar patterns of substrate specificity, temperature and pH activity. Site directed mutagenesis confirmed the Ser-294, Asp-391 and His-425 as catalytic site residues. Rv1288 was found to be present in cell wall fraction of M.tb H37Ra. Peptidoglycan binding activity of Rv1288 and its domains demonstrated that the Lyt domain is essential for anchoring protein to the cell wall. Expression of rv1288 was up regulated in M.tb under nutrient starved condition. Over expression of rv1288 in surrogate host M. smegmatis led to change in colony morphology, enhanced pellicle and aggregate formation that might be linked with the changed lipid composition of bacterial cell wall. Cell wall of M. smegmatis expressing rv1288 had higher amount of lipids, with a significant increase in trehalose dimycolate content. Rv1288 also leads to increase in drug resistance of M. smegmatis. Rv1288 also enhanced the intracellular survival of M. smegmatis in Raw264.7 cell line. Overall, this study suggested that Rv1288, a cell wall localized carboxyl hydrolase with mycolyl-transferase activity, modulated the cell wall lipids to favor the survival of bacteria under stress condition

Anodized steel electrodes for supercapacitors

Steel was anodized in 10 M NaOH to enhance its surface texture and internal surface area for application as an electrode in supercapacitors. A mechanism was proposed for the anodization process. Field-emission gun scanning electron microscopy (FEGSEM) studies of anodized steel revealed that it contains a highly porous sponge like structure ideal for supercapacitor electrodes. X-ray photoelectron spectroscopy (XPS) measurements showed that the surface of the anodized steel was Fe2O3, whereas X-ray diffraction (XRD) measurements indicated that the bulk remained as metallic Fe. The supercapacitor performance of the anodized steel was tested in 1 M NaOH and a capacitance of 18 mF cm-2 was obtained. Cyclic voltammetry measurements showed that there was a large psueudocapacitive contribution which was due to oxidation of Fe to Fe(OH)2 and then further oxidation to FeOOH, and the respective reduction of these species back to metallic Fe. These redox processes were found to be remarkably reversible as the electrode showed no loss in capacitance after 10000 cycles. The results demonstrate that anodization of steel is a suitable method to produce high-surface-area electrodes for supercapacitors with excellent cycling lifetime

A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning

The electroencephalogram (EEG) serves as an essential tool in exploring brain activity and holds particular importance in the field of mental health research. This review paper examines the application of artificial intelligence (AI), encompassing machine learning (ML) and deep learning (DL), for classifying schizophrenia (SCZ) through EEG. It includes a thorough literature review that addresses the difficulties, methodologies, and discoveries in this field. ML approaches utilize conventional models like Support Vector Machines and Decision Trees, which are interpretable and effective with smaller data sets. In contrast, DL techniques, which use neural networks such as convolutional neural networks (CNNs) and long short-term memory networks (LSTMs), are more adaptable to intricate EEG patterns but require significant data and computational power. Both ML and DL face challenges concerning data quality and ethical issues. This paper underscores the importance of integrating various techniques to enhance schizophrenia diagnosis and highlights AI’s potential role in this process. It also acknowledges the necessity for collaborative and ethically informed approaches in the automated classification of SCZ using AI