Department of Civil Engineering

Permanent URI for this collectionhttp://localhost:4000/handle/123456789/1927

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Author: search.filters.author.Jha, Shibani KhanraSubject: search.filters.subject.Civil Engineering

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    Students’ Perspective of the Sudden Shift from Traditional Classroom to Online Teaching Mode Under COVID-19 Situation: A Case Study
    (ICON BITS, 2022-02) Jha, Shibani Khanra; Roy, Banasri
    The study aims to understand the perspectives of higher education students regarding the sudden transition from a traditional class to online mode during COVID-19 in India. A survey was conducted among 260 undergraduates and graduate students from civil and chemical engineering branches; based on 15 quantitative and 4 qualitative questions. Students appreciate the flexibility they acquire in terms of timing, necessity and interest to watch the recorded lectures. A peaceful learning environment without distraction/disturbance helps them to focus. But the unfamiliarity of the mode and the relaxed unmonitored situation are considered unfavourable. Improved technical infrastructure and better preparedness from the teacher’s side are recommended. This study articulates the students’ perspective and expectations from the online mode of teaching/learning, which would help improve the quality of the instruction process. Authors understand that this study addressing the entire instruction framework delivered live in online synchronous mode due to the unprecedented pandemic environment has not been reported previously.
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    Experimental Studies and Analysis for Performance Assessment of Floating Solar Photovoltaic Systems
    (IOP, 2024) Mittal, Ravi Kant; Jha, Shibani Khanra; Singh, Ajit Pratap; Soni, Manoj Kumar
    The Floating Solar Photovoltaic (FSPV) systems are expected to perform relatively at a higher efficiency level as compared to ground mounted PV systems. The major factor affecting the operating efficiency of a solar panel is the operating temperature of the PV panel which is relatively lower as compared to ground mounted PV system. To accomplish this, an experiment setup of FSPV system has been developed which consists of solar panels operating at different heights above water surface. The findings indicate that FSPV modules can reduce the module temperature by up to 4°C – 7°C. The performance of FSPV has been analysed under diurnal conditions. The performance has been assessed in terms of power output by utilising module parameters. The results highlight the power output from solar panel under varying heights help to optimize the operating heights of the solar panels over the water bodies to achieve maximum power output. Therefore, it is also advised for FSPV to raise the PV modules to their optimal height. The FSPV systems at 500 mm height provided 1.8-3.78% higher power output than ground mounted PV systems, maximum of all the panels above water.
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    Predictive Modeling of Solar PV Panel Operating Temperature over Water Bodies: Comparative Performance Analysis with Ground-Mounted Installations
    (MDPI, 2024-05) Jha, Shibani Khanra; Mittal, Ravi Kant; Singh, Ajit Pratap; Soni, Manoj Kumar
    Solar panel efficiency is significantly influenced by its operating temperature. Recent advancements in emerging renewable energy alternatives have enabled photovoltaic (PV) module installation over water bodies, leveraging their increased efficiency and associated benefits. This paper examines the operational performance of solar panels placed over water bodies, comparing them to ground-mounted solar PV installations. Regression models for panel temperature are developed based on experimental setups at BITS Pilani, India. Developed regression models, including linear, quadratic, and exponential, are utilized to predict the operating temperature of solar PV installations above water bodies. These models incorporated parameters such as ambient temperature, solar insolation, wind velocity, water temperature, and humidity. Among these, the one-degree regression models with three parameters outperformed the models with four or five parameters with a prediction error of 5.5 °C. Notably, the study found that the annual energy output estimates from the best model had an error margin of less than 0.2% compared to recorded data. Research indicates that solar PV panels over water bodies produce approximately 2.59% more annual energy output than ground-mounted systems. The newly developed regression models provide a predictive tool for estimating the operating temperature of solar PV installations above water bodies, using only three meteorological parameters: ambient temperature, solar insolation, and wind velocity, for accurate temperature prediction.