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Institution

Chittagong University of Engineering & Technology

EducationChittagong, Bangladesh
About: Chittagong University of Engineering & Technology is a education organization based out in Chittagong, Bangladesh. It is known for research contribution in the topics: Computer science & Renewable energy. The organization has 1200 authors who have published 1444 publications receiving 10418 citations. The organization is also known as: Engineering College, Chittagong & Bangladesh Institute of Technology, Chittagong.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the performance of perforated rectangular strip inserts was evaluated and found to be 2.5 times higher compared to the plain tube based on the constant blower power.
Abstract: An experimental study was conducted to evaluate the performance of heat transfer for turbulent flow through a tube using air as the working fluid with perforated rectangular strip inserts. Mild steel rectangular strips of different pore diameters 2.1, 3.2, 4.25, 5.3, and 7.42 mm with corresponding porosities of 1.1%, 2.5%, 4.4%, 6.8%, and 13.3%, respectively, were used in the flow field. Heat transfer and pressure drop data were taken for Reynolds numbers ranging from 14,000 to 47,000. The experimental results showed that the Nusselt number, heat exchanger effectiveness, and friction factor were higher than those of the plain tube. The Nusselt number and the friction factor for employing the perforated strip inserts were found to be increased up to 2.65 and 1.75 times, respectively, over the corresponding plain tube. The heat transfer performance was evaluated and found to be 2.5 times higher compared to the plain tube based on the constant blower power. Finally, a correlation was developed with the exper...

8 citations

Proceedings ArticleDOI
23 May 2014
TL;DR: The design and implementation of a multi-directional solar tracking system dedicated to use with PV panels that ensures the maximization of the conversion of solar energy into electricity by properly orienting the PV panel in accordance with the real position of the sun.
Abstract: A solar tracking system is designed for the orientation of different solar energy receivers, photovoltaic arrays or thermal receivers to maximize the operation of solar energy conversion This paper deals with the design and implementation of a multi-directional solar tracking system dedicated to use with PV panels The proposed solar tracking device ensures the maximization of the conversion of solar energy into electricity by properly orienting the PV panel in accordance with the real position of the sun The dual axis solar tracker moves only in vertical direction with Y and Z-axis movement It cannot move in horizontal direction with X-axis movement Our proposed model can move in vertical position with Y-axis movement and in horizontal position with X-axis movement and also move at a point in Z-axis making combination of X and Y-axis movement The gain of output power with the Multi-directional tracking system is higher when compared with a dual axis tracker The performance of the proposed solar tracker was experimentally analyzed

8 citations

Proceedings ArticleDOI
13 Sep 2018
TL;DR: In this paper, a mathematical model of QDIBSC with PbSe/GaAs has been introduced and the cell has been modelled with quantum dot and 37.52% conversion efficiency was obtained.
Abstract: Solar cell efficiency is still not significant enough due to various reasons. One of them is not to utilize the lower energetic photons of the spectrum beyond the material bandgap. If quantum dot can be introduced within the intrinsic region of a p-i-n structured solar cell, a sub band in the middle of conduction band (CB) and valance band (VB) will form. Low energy photons are absorbed via the sub band called Intermediate Band (IB). Therefore, short circuit current (J SC ) increases hence the efficiency. In this work, the mathematical model of QDIBSC with PbSe/GaAs has been introduced. MATLAB has been used to simulate the proposed cell. In this research work, the cell has been modelled with quantum dot and 37.52% conversion efficiency was obtained.

8 citations

Proceedings ArticleDOI
21 Dec 2020
TL;DR: In this paper, a face recognition based automatic student attendance system using Convolutional Neural Networks is presented. But, the system can detect and recognize multiple person's face from video stream and automatically record daily attendance and achieved an average recognition accuracy of about 92 %.
Abstract: We are living in the 21st century which is the era of modern technology. Many traditional problems are being solved using new innovative technologies. Taking attendance daily is an indispensable part of educational institutions as well as offices. It is both exhausting and time-consuming if done manually. Biometric attendance systems through voice, iris, and fingerprint recognition require complex and expensive hardware support. An auto attendance system using face recognition, which is another biometric trait, can resolve all these problems. This paper represents the development of a face recognition based automatic student attendance system using Convolutional Neural Networks which includes data entry, dataset training, face recognition and attendance entry. The system can detect and recognize multiple person's face from video stream and automatically record daily attendance. The proposed system achieved an average recognition accuracy of about 92 %. Using this system, daily attendance can be recorded effortlessly avoiding the risk of human error.

8 citations

Proceedings ArticleDOI
01 Feb 2019
TL;DR: In this paper, the authors presented a survey of generation mix data in Bangladesh, Australia, and the USA and found that the dependency on the gas-based power plant and renewable energy is rising.
Abstract: Optimal electricity generation mix profile is one of the influential elements need to be considered for the economic growth of a country. In this paper, we represent a survey of generation mix data in Bangladesh, Australia, and the USA. This paper represents overall power generation scenarios among the three countries with different economic scale. These three countries follow a different kind of generation mix trend and face various obstacles to meet their present and future demand. The study found some challenging factors in electricity generation to meet demand. The decreasing use of fossil fuel resources, environmental constrict, and the high cost of electricity production - a few dominant factors. Though developed countries like Australia and the USA are emphasizing renewable energy over fossil fuel-based resources and they are producing a big amount of electricity from renewable resources. However, renewable raises uncertainty in the system operation in proportion to the level of penetration. In fact, fossil fuel resources are depleting day by the day hence renewable energy will lead future electricity sector. Nevertheless, developing countries like Bangladesh is not producing electricity from renewable resources that much compared to developed countries. One common aspect found that the dependency on the gas-based power plant and renewable energy is rising. This study shows how a developing country and developed countries handling their electricity generation sector using various fuel sources that can help other countries to design their generation policy framework.

8 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20234
202240
2021243
2020241
2019228
2018119