Currently, India is espousing nonconventional energy sources at an express rate owing to concerns about climate change, emission of harmful greenhouse gases (GHG), and exhausting conventional energy sources. The solar photovoltaic (SPV) plants are, hence, expected to play a noteworthy role to meet energy security and sustainability goals. Contemporary studies reveal substantial ecological concerns associated with installing the ground mounted SPV plants in urban locations. Further observations depict that aforementioned plants need additional land, transmission, and distribution infrastructures. Consequently, rooftop SPV plants are the best solution to produce energy in urban locations, owing to the availability of a large number of empty rooftop spaces with least capacity expenditure. The present article discusses the techno-economic and ecological aspects of a 50 kWp rooftop SPV plant installed at ICFAI University, Jaipur. The plant has produced around 64.149 MWh in the year 2017. The technical assessment focuses on the effects of the meteorological parameters upon energy generation factors. The annual average final yield, reference yield, capacity utilization factor, and performance ratio found to be 106.9 kWh/kWp/month, 149.7 kWh/kWp/month, 14.64 and 70%, respectively. The economic parameters like net present value, internal rate of return, profitability index, and payback period are computed with 0-50% subsidy rates, which supports the financial viability of the plant. The plant contributed significantly to reducing GHG emissions by mitigating 102 t CO 2 , 128 kg SO 2 , 268 kg NO x , and 7,033 kg ash in the year 2017 as evident from the ecological investigation.Statement of industrial relevance: Manufacturing industries are extremely power intensive, as they utilize a substantial amount of energy during the production process. The utilization of sustainable energy sources can considerably curtail the major overhead cost, that is, power, and at the same time minimize pollution. Solar energy utilization is a viable option as large spaces are available not only on rooftops but also allied spaces like parking lots of the industries for installation of rooftop SPV plants.The industries by virtue of location receive extended periods of unimpeded sunlight, as these setups are positioned in separate industrial areas away from residential
Abstract-The work presents a simple and novel design approach to extend the bandwidth of existing Dielectric Material Based Microwave Absorber (DMBMA). The design comprises planar square patches of DMBMA placed periodically on a metalbacked FR4 sheet. For demonstration purpose, the DMBMA is synthesized by adding conducting carbon fillers in polyurethane matrix, and its electromagnetic parameters are measured in X-band. A single reflection null is observed in DMBMA owing to λ/4 resonance. In comparison, the bandwidth of 8 GHz (10-18 GHz) is achieved for −10 dB reflection for square patch based DMBMA. The thickness of proposed absorber is 2.75 mm. An additional resonant mode is observed due to capacitive coupling between the square patches. The enhanced bandwidth is attributed to the overlapping of λ/4 resonance and induced coupling mode. A good agreement between the simulated and measured data is observed.
The epidemic of coronavirus disease-2019 (COVID-19) establishes a medical emergency of worldwide concern with an exceptionally high danger of spread and affect the entire worldwide. In India, there has been a steady ascent in the infection with 20,080 cases on April 21 even after a countrywide lockdown. Bhilwara lockdown & containment model flattens the infection curve of COVID-19 cases just within 10 days of initial spread. This paper has described the Bhilwara model and compare the model with India COVID-19 outbreak lockdown along with a prediction for a reduction in the number of upcoming cases with its implementation. In experimentation, the Bhilwara model is simulated using 3 rd-degree polynomial curve fitting techniques, and the mean growth rate of infection is calculated on the COVID-19 spread curve for a group of days depicting the effect of policies defined by Bhilwara administration. Using calculated mean growth rate, COVID-19 spread is predicted with 3 rd-degree polynomial regression utilizing a dataset of all states of India. Results found that with the implementation of the Bhilwara model all over India, the infection transmission rate is reduced to a significant level. Results motivate government authorities to implement new policies and adaption of the Bhilwara model of containment to flatten the COVID-19 outbreak curve.
A new design approach that enhances the bandwidth of conventional Salisbury Screen (SS) microwave absorber is investigated. The absorber comprises of, wire metamaterial printed on FR4 substrate, placed on the top of the SS. The SS consists of 50 Ω/sq resistive sheet placed on the metal backed dielectric spacer. The theoretical analysis indicates the bandwidth of SS for −10 dB reflection is 41.1% using FR4 as a spacer for the optimum sheet resistivity of 308 Ω/sq. The proposed absorber shows the bandwidth of 53.5% (8.9–15.4 GHz) for −10 dB reflection. The thickness of the absorber is 0.15 λL (lowest cut‐off frequency for −10 dB reflection). The FR4 substrate with SS works as Jaumann configuration and introduces an additional resonance mode. The selective overlapping of resonant mode excited by wire metamaterial and the additional resonance mode enhances the bandwidth of the absorber. The wire metamaterial is physically realized using low‐cost screen printing technique. The good agreement between the simulated and measured data has been observed.
The work presents an inventive, simple and implementable design approach to enhance the bandwidth of conventional Salisbury Screen Microwave Absorber (SSMA). Theoretically, the maximum fractional bandwidth of SSMA for FR4 substrate with an optimum sheet resistivity of 308 Ω/sq for −10 dB reflection is nearly 42.1%. In comparison, the bandwidth for square patch based SSMA is 59.7% with the same thickness. The design comprises square patches of SSMA placed periodically on a metal sheet. The square patches consist of an FR4 substrate and a 200 Ω/sq resistive sheet. A single reflection null is observed in the SSMA due to λ/4 resonance whereas in the proposed absorber an additional resonant mode is introduced due to coupling between the nearby patches. The simultaneous overlapping of the λ/4 mode and the additional coupling mode results in bandwidth extension. The close agreement between the simulation and measurement data is observed.
With the ability of MATLAB to run in the cloud environment the authors analyse a retinal image efficiently. A quick and on-the-fly image processing is the cause for leveraging the ability of Cloud with the classic computing power of MATLAB. This cloud-based image processing has significantly saved on the cost of procuring resources and it has processed an image in a few seconds. This revolutionary change in computing power has not only eased the life of engineering community but has demonstrated an inertia to help the common man through its language of computing. The objective of this particular piece of work is to leverage the ubiquitous cloud features to process the images taken from retina portion through a hi-fidelity algorithm. The reflection of the computing ability of complex mathematical equations, SaaS (Soft as a Service) architecture of cloud and tools developed in Windows Azure platform has come out as research findings such as the spatial modelling of a diseased portion of a retina. The portion diagnosed with a difficulty undergoes a series of steps based on the algorithm developed by authors and ultimately the original image is transformed into a form with information on the status of the disease in the retina.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.