http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/618 Volume 10, Number 2, December 2022 2026-04-26T00:18:53Z http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/747 Cost and Reliability Analysis of a Hybrid Renewable Energy System - A Case Study on an Administration Building Sun, Wenyuan; Tian, Cong; Jin, Yingai Renewable energy generation systems have been developing rapidly in recent years. However, renewable energy systems have the problem of large power abandonment. In this paper, two different hybrid renewable energy systems (HRESs) have been designed for satisfying the electrical demand of a large office building in Changchun. A comparative analysis between two strategies is also presented to find out the best capacity for the proposed HRESs. The first HRES consists of solar PV, wind turbine, battery storage system (PV-WT-BATT) and load demand of 5,000 kWh/d. The second consists of solar PV, wind turbine, battery storage system, electrolyzer, hydrogen tank (PV-WT-BATT-EL-HT) and load demand of 5,000 kWh/d. The two HRESs are optimized for Net Present Cost (NPC), Levelized Cost of Energy (COE), Operating Cost and the rate of excess electricity minimization. The techno-economic analysis of the two HRESs is conducted using the HOMER Pro software platform. This study provides a complete guideline for determining the optimum component capacity to ensure costing estimation for the optimized performance of the two HRESs. 2022-12-01T00:00:00Z http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/746 Numerical Analysis of Cavitating Flow on Hydrofoil Nur-E-Mostafa, Md; Morshed Alam, Eare Md; Monir Uddin, Mohammad Numerical study is presented in this work for turbulent cavitating flow pattern simulation on a hydrofoil, using state equation of cavitation model along with combined turbulence model for mixed fluid based on commercial software FLUENT 6.0. This solver is based on finite volume method. Cavitating study yield irregular behavior with the variation of cavitation values (𝜎� This study is focused on pressure variation, vapor volume fraction, lift and drag forces on the foil section for various cavitation values at 7° angle of attack. Cavitation initiation begins at the foremost surface and covers towards the end chord with reducing cavitation value. Moreover, the change of vapor region pattern is predicted towards the front of the foil. Finally, transitional flow range is observed for � 𝜎lues 0.8 to 1.2 with large standard deviation. 2022-12-01T00:00:00Z http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/745 Effect of Non-Uniform Soiling on Solar Panel Output and Revenue Analyzed Through a Controlled Experiment by Using a Designed I-V Scanner Islam, Mohammad Didarul; Islam, Md. Aminul; Khan, M. Ryyan Non-uniform soiling drastically decreases the power generation of PV panels. Different events are responsible for the non-uniform soiling on PV panels for example bird droppings, sand storms, or snowfall. In this study, we have achieved multiple-goals for analyzing the effect of non-uniform soiling on a PV module output. We also analyzed the revenue losses due to the non-uniform soiling in a PV power plant. Firstly, for observing the effect of non-uniform soiling an I-V scanner has been designed. Secondly, the designed I-V scanner has been used to observe the changes in the I-V characteristics curve of PV panels due to non-uniform soiling and shading conditions. In this study, we have conducted various controlled experiments by providing different shading conditions on the PV panel and observing the I-V curve changes. A correlation has been done with the various shadowing conditions like the bottom edge soiling condition of PV panels or bird-dropping. In a PV power plant, nonuniform soiling may occur at the edge of PV panels after cleaning intervention. Considering these scenarios, we have done an economic analysis for determining the effect of non-uniform soiling on the revenue of PV power plants. Finally, the relations between the cleaning cycle, performance loss factor, and solar cell area coverage with respect to revenue have been also discussed in this article. 2022-06-01T00:00:00Z http://dspace.mist.ac.bd:8080/xmlui/handle/123456789/744 A Novel Approach to Detect Cardiac Arrhythmia Based on Continuous Wavelet Transform and Convolutional Neural Network Mohonta, Shadhon Chandra; Firoj Ali, Md. Electrocardiogram (ECG) signal is informative as well as non-invasive clinical tool to diagnose cardiac diseases of human heart. However, the diagnosis requires professionals’ clarification and is also time-consuming. To make the diagnosis proficient, a novel convolutional neural network (CNN) has been proposed for automatic arrhythmia detection. In this work, the ECG data collected from the MIT-BIH database have been preprocessed, and segmented in short ECG segments of 60 s. Then, all these segments have been transformed into scalogram images obtained from time-frequency analysis using continuous wavelet transform (CWT). Finally, these scalogram images have been exploited as an input for our designed CNN classifier to classify cardiac arrhythmia. In this approach, the overall accuracy, sensitivity, and specificity are 99.39%, 98.79%, and 100% respectively. Proposed CNN model has significant advantages, and it can be used to differentiate the healthy and arrhythmic patients effectively. 2022-12-01T00:00:00Z