School of Engineering & Technology

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Browsing School of Engineering & Technology by Author "Bansal, Ajay Kumar"

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    Biogeography-based optimization of artificial neural network (BBO-ANN) for solar radiation forecasting
    (Applied Artificial Intelligence, 2023) Yahya, Umar; Bansal, Ajay Kumar; Aneja, Nagender; Dadheech, Pankaj; Sangtani, Virendra,Swaroop
    Renewable energy can help India’s economy and society. Solar energy is everywhere and can be used anywhere, making it popular. Solar energy’s drawbacks are weather and environmental dependencies and solar radiation variations. Solar Radiation Forecasting (SRF) reduces this drawback. SRF eliminates solar power generation variations, grid overvoltage, reverse current, and islanding. Short-term solar radiation forecasts improve photovoltaic (PV) power generation and grid connection. Previous promising SRF studies often fail to generalize to new data. A biogeography-based optimization artificial neural network (BBO-ANN) model for SRF is proposed in this work. 5-year and 6-year data are used to train and validate the model. The data was collected from India’s Jaipur Rajasthan weather station from 2014 to 2019. This work used biogeography- based optimization (BBO) to optimize and adjust the inertia weight of artificial neural networks (ANN) during training. The BBO-ANN model developed in this study had a Mean Absolute Percentage Error (MAPE) of 3.55%, which is promising compared to previous SRF studies. The BBO-ANN SRF model introduced in this work can generalize well to new data because it was able to produce equally accurate autumn and winter forecasts despite the great climatic variation that occurs during the summer and spring.
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    Design of rain water harvesting structurefor engineering block
    (Ecological Engineering and Environmental Technology, 2022) Grag, Vikash; Bansal, Ajay Kumar; Dubey, Mukesh Kumar
    Present work is a case study of rainwater harvesting needs and the measures being adopted for the northern region of Haryana, India, covering the districts of Rewari and Mahendergarh. The study was necessitated following the notification by Haryana Urban Development Authority to make rainwater harvesting mandatory for its urban estates. As per the notification: “each individual plot holder having a rooftop area of 100 m2 or more, is required to provide for suitable rainwater harvesting measures”. Keeping in view the available soil strata, average rainfall, rainfall intensity, social acceptability etc., a plan has been drafted to comprehensively utilize the rainfall water falling in the campus of Central University of Haryana, Mahendergarh, a campus of around 488 acres of area. Land area requirement for different suggested modes is likely to be a very small percentage of the total catchment’s area. In the first phase, ground water recharge structures for School of Engineering and Technology are suggested. Major objective of the study is to provide rainwater harvesting structures so that ground water storage is enhanced to an extent that it would suffice the drinking water needs of students and faculties residing in the campus. Another objective of the study is that these recharge structures will serve as models and infuse confidence in people to follow the good work initiated by the Haryana Urban Development Authority
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    A Novel Analytical Technique for Optimal Allocation of Capacitors in Radial Distribution Systems
    (ITB Journal Publisher, 2017-05-30) Bansal, Ajay Kumar