Modeling and Simulation Analysis of Proton-Exchange Membrane based Fuel Cell System Using MATLAB/Simulink

Nishita Mishra and Monika Vardia,JECET; June 2017- August 2017; Sec. C; Vol.6. No.3, 286-302.;[DOI: 10.24214/jecet.C.6.3.28602]


Modeling of fuel cells is getting more and more important as powerful fuel cell stacks are getting available and have to be integrated into power systems. Proton exchange membrane fuel cells (PEMFCs) have aroused great interest in recent years, in particular for transportation applications. The simulation of proton-exchange membrane fuel cells (PEMFC) may work as a powerful tool in the development and widespread testing of alternative energy sources. In order to obtain an adequate PEMFC model, (which could be used in the analysis of FC generation systems), it is necessary to define the values for a specific group of modeling parameters. The simulation results are strongly affected by the choice of such modeling parameters. In order to investigate the output characteristic of a proton exchange membrane fuel cell (PEMFC) based on the electrical empirical model, a novel dynamic model of the PEMFC has been developed with MATLAB/ Simulink, which is distinct from the models that have been published previously. In this paper, the governing equations of the transient behavior of a proton exchange membrane fuel cell are presented. They show the influence of the operating conditions and the current density on internal parameters, especially the ohmic resistance. By using a fuel cell test system of the Fuel Cell Application Centre (FAC) at Temasek Polytechnic, the transient electrical responses of PEMFC were conducted and analyzed under various operating conditions. A good match is found between simulation results and experimental data. The comprehensive results of simulation manifested that the model is effective and operational. This model will be very useful to optimize the structure design, improve the operation performance, and develop the real-time control system of PEMFC.

Ultrasonic Ride Height Monitoring of Automobile by Cross-correlation

Md. Manjurul Gani, Jitu Prakash Dhar, Dr. Md. Saiful Islam,JECET; June 2017- August 2017; Sec. C; Vol.6. No.3, 275-285.[DOI: 10.24214/jecet.C.6.3.27585]


Ground clearance or ride height (distance between the lowest part of the vehicle and ground) is an important parameter for automobile. It varies with respect to load on the vehicle as well as road which could be rough and bumpy. Therefore scratching of vehicle with the ground or road is a common scenario. To avoid this scratching we need to monitor ground clearance. To do so we design and simulate an ultrasonic ground clearance monitoring system. Here an ultrasonic sensor is used to transmit and receive the signal (reflected pulse). Then an adaptive filter is used to de-noise the received signal. After that using cross-correlation the time of flight is determined to measure the ride height. When the ground clearance reaches the safety margin it will activate an indicator or alarm. It helps to avoid the scratching of vehicles which will reduce the maintenance and repairing cost/time.

Bubble Counter for Resistive Plate Chamber

Bubble Counter for Resistive Plate Chamber, JECET; June 2017- August 2017; Sec. C; Vol.6. No.3, 270-274.,[DOI: 10.24214/jecet.C.6.3.27074]


The Resistive Plate Chamber (RPC) is an active element of INO-ICAL experiment 1,2. It is a gaseous detector and hence the gas needs to be continuously flushed through it. The gas flow need to be uniform and with a proper flow rate of about 6 SCCM (Standard Cubic Centimetre per Minute). This flow rate corresponds to about one volume changes per day of gas, which is required for the good performance of the RPCs. The safety operating pressure at the input is about 4 mbar.An open ended gas system is shown in Figure 1. The gas coming out of the RPC is left out into the atmosphere through a bubbler containing non-degassing oil DC706. The outlet of the RPC is connected to an Isolation bubbler and at the input bubbler is called as the safety bubbler. When there is a block, due to dust particle or any impurity in the RPC, the safety bubbler releases the gas into the atmosphere and thus protects the RPC. The oil levels in the two bubbler is such that, the level in the safety bubbler is double (10 mm) than, that of the isolation bubbler. When the gas flows through the RPC, bubbles are seen in the isolation bubbler and indicate that the system is functioning well, which means there is continuous flow of gas through that RPC. Therefore, counting these bubbles indicate, there is a flow of gas in the RPC and the number of bubbles count will give the quantity of gas flowing through it. To count these bubbles a microcontroller based system has been developed and successfully integrated during initial studies of Gas system and RPCs tests. The detail of electronics tool developed is presented.

Monthly Average Forecasting of Wind Speed Using Time Series Models

Dokur E., Ceyhan S., Kurban M.,JECET; June 2017- August 2017; Sec. C; Vol.6. No.3, 260-269.,[DOI: 10.24214/jecet.C.6.3.26069]


Wind speed modeling and prediction plays a critical role in wind related engineering studies. With the integration of wind energy into electricity grids, it is becoming increasingly important to obtain accurate wind speed forecasts. Accurate wind speed forecasts are necessary to schedule dispatch able generation and tariffs in the electricity market. The aim of this paper is to develop the most suitable models for monthly average forecasting of wind speeds using SARIMA (Seasonal Auto-Regressive Integrated Moving Average) models with some statistical tests. SARIMA models and statistical tests are implemented in MATLAB software. All the models are analyzed with real data of wind speeds collected over a period of 11 years, Bilecik, city of Turkey. Ljung-Box and Durbin Watson tests are carried out to ideal model. Accuracy of the forecasting is evaluated in terms of RMSE, MSE, and MAPE.

Gender Gap in Literacy



In this paper a statistical analysis of gender gap (district wise, statewisewise) of Rajasthan is given. A comparison between Gender gap of India and Rajasthan on the basis of area and the sex ratio is explained.