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Optimal design of hybrid renewable-energy microgrid system:a techno-economic-environment-social-reliability perspective

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Clean Energy 2024年第1期8卷 66-83页

作者： Manoj Gupta Annapurna bhargava Electrical Engineering Department Rajasthan Technical UniversityKotaRajasthan 324010India Electrical and Electronics Engineering Department IPS Academy Institute of Engineering and Science IndoreMadhya Pradesh 452012India

The main objective of this paper is to select the optimal model of a hybrid renewable-energy microgrid(MG)system for a village in *** MG comprises solar photovoltaic(PV)modules,a wind turbine generator,a biomass generator,a battery bank,a diesel generator and an electric *** optimal model selection is based on technical,economic,environmental,social and reliability parameters.A novel spoonbill swarm optimization algorithm is proposed to select the best hybrid MG *** optimization results are compared with particle swarm optimization,the genetic algorithm and the grasshopper optimization *** number or size of components of the optimized MG system is 215 PV modules,92 kW of wind turbine generation,25 kW of biomass generation,267 batteries,22 kW of electric vehicles and 30 kW of diesel *** optimized system was selected based on technical factors such as renewable dispersion(93.5%),the duty factor(5.85)and excess energy(15975 kWh/year)as well as eco-nomic considerations including the net present cost(Rs.34686622)and the cost of energy(9.3 Rs./kWh).Furthermore,environ-mental factors such as carbon emissions(396348 kg/year)and atmospheric particulate matter(22.686 kg/year);social factors such as the human progress index(0.68411),the employment generation factor(0.0389)and local employment generation(15.64643);and reliability parameters including loss of power supply probability(0.01%)and availability index(99.99%)were considered during the selection *** spoonbill swarm optimization algorithm has reduced the convergence time by 1.2 times and decreased the number of iterations by 0.83 times compared with other *** performance of the MG system is validated in the MATLAB®*** results show that the MG system is the optimal system considering technical,economic,environmental,social and reliability ***,the spoonbill swarm optimization algorithm is found to be more efficient than the other

关键词： cost of electricity microgrid reliability spoonbill techno-economic

Smart mid-infrared metasurface microspectrometer gas sensing system

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Microsystems & Nanoengineering 2024年第3期10卷 273-281页

作者： Jiajun Meng Sivacarendran Balendhran Ylias Sabri Suresh K.bhargava Kenneth B.Crozier School of Physics University of MelbourneVictoriaAustralia Australian Research Council(ARC)Centre of Excellence for Transformative Meta-Optical Systems(TMOS) University of MelbourneVictoriaAustralia Centre for Advanced Materials&Industrial Chemistry(CAMIC) STEM collegeRMIT UniversityVictoriaAustralia Department of Electrical and Electronic Engineering University of MelbourneVictoriaAustralia

Smart,low-cost and portable gas sensors are highly desired due to the importance of air quality monitoring for environmental and defense-related ***,electrochemical and nondispersive infrared(IR)gas sensors are designed to detect a single specific *** IR spectroscopy-based sensors provide superior performance,their deployment is limited due to their large size and high *** this study,a smart,low-cost,multigas sensing system is demonstrated consisting of a mid-infrared microspectrometer and a machine learning *** microspectrometer is a metasurface filter array integrated with a commercial IR camera that is consumable-free,compact(~1 cm^(3))and lightweight(~1 g).The machine learning algorithm is trained to analyze the data from the microspectrometer and predict the gases *** system detects the greenhouse gases carbon dioxide and methane at concentrations ranging from 10 to 100%with 100%*** also detects hazardous gases at low concentrations with an accuracy of 98.4%.Ammonia can be detected at a concentration of 100 ***,methyl-ethyl-ketone can be detected at its permissible exposure limit(200 ppm);this concentration is considered low and *** study demonstrates the viability of using machine learning with IR spectroscopy to provide a smart and low-cost multigas sensing platform.

关键词： Smart gases system

Home-based Detection and Prediction of Diabetic Foot Ulcers at Early Stage Using Sensor Technology and Supervised Learning

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Journal of Harbin Institute of Technology(New Series) 2024年第1期31卷 26-37页

作者： Kamasamudram bhavya Sai Rishi Raghu Sai Surya Varshith Nukala Jayashree Jayaraman Vijayashree Jayaraman School of Computer Science and Engineering Vellore Institute of TechnologyVellore 632014India

For years,foot ulcers linked with diabetes mellitus and neuropathy have significantly impacted diabetic patients’ health-related quality of life(HRQoL). Diabetes foot ulcers impact15% of all diabetic patients at some point in their lives. The facilities and resources used for DFU detection and treatment are only available at hospitals and clinics,which results in the unavailability of feasible and timely detection at an early stage. This necessitates the development of an at-home DFU detection system that enables timely predictions and seamless communication with users,thereby preventing amputations due to neglect and severity. This paper proposes a feasible system consisting of three major modules:an IoT device that works to sense foot nodes to send vibrations onto a foot sole,a machine learning model based on supervised learning which predicts the level of severity of the DFU using four different classification techniques including XGBoost,K-SVM,Random Forest,and Decision tree,and a mobile application that acts as an interface between the sensors and the patient. Based on the severity levels,necessary steps for prevention,treatment,and medications are recommended via the application.

关键词： diabetic foot ulcer podiatry diabetes mellitus healthcare footcare internet of things machine learning human⁃computer interaction

Targeting metabolism to treat multiple sclerosis

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Neural Regeneration Research 2021年第3期16卷 502-503页

作者： Pavan bhargava Department of Neurology Johns Hopkins University School of MedicineBaltimoreMDUSA

Multiple sclerosis(MS)is a chronic autoimmune disorder of the central nervous system(CNS)that has both inflammatory and neurodegenerative com *** genetic and environmental factors confer risk for developing the ***,gut microbiota appears to play an important role in the risk for MS and potentially also in affecting disease severity,though our understanding of these interactions are still incomplete(bhargava and Mowry,2014).

关键词： metabolism sclerosis autoimmune

Effects of variable viscosity and temperature modulation on linear Rayleigh-Bénard convection in Newtonian dielectric liquid

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Applied Mathematics and Mechanics(English Edition) 2019年第11期40卷 1601-1614页

作者： P.G.SIDDHESHWAR D.UMA S.bhavya Department of Mathematics Bangalore UniversityBengaluru 560056India Department of Computer Science and Engineering PES UniversityBengaluru 560085India Department of Mathematics Atria Institute of TechnologyBengaluru 560024India

The linear Rayleigh-Bénard electro-convective stability of the Newtonian dielectric liquid is determined theoretically subject to the temperature modulation with time.A perturbation method is used to compute the critical Rayleigh number and the wave *** critical Rayleigh number is calculated as a function of the frequency of modulation,the temperature-dependent variable viscosity,the electric field dependent variable viscosity,the Prandtl number,and the electric Rayleigh *** effects of all three cases of modulations are established to delay or advance the onset of the convection *** addition,how the effect of variable viscosity controls the onset of convection is studied.

关键词： dielectric liquid temperature dependent variable viscosity electric field dependent variable viscosity electric Rayleigh number temperature modulation

Intelligent Cloud IoMT Health Monitoring-Based System for COVID-19

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Computers, Materials & Continua 2022年第7期72卷 497-517页

作者： Hameed AlQaheri Manash Sarkar Saptarshi Gupta bhavya Gaur Department of Information Systems and Operation Management College of Business AdministrationKuwait University13060Kuwait Atria Institute of Technology BengaluruKarnatakaIndia Electronics and Communication Engineering SRM Institute of Science&TechnologyDelhi-NCR201204India Business Technology Analyst ZS AssociatesPune411014India

The most common alarming and dangerous disease in the world today is the coronavirus disease 2019(COVID-19).The coronavirus is perceived as a group of coronaviruses which causes mild to severe respiratory diseases among human *** infection is spread by aerosols emitted from infected individuals during talking,sneezing,and ***,infection can occur by touching a contaminated surface followed by transfer of the viral load to the *** may occur through aerosols that stay suspended in the air for extended periods of time in enclosed *** stop the spread of the pandemic,it is crucial to isolate infected patients in quarantine *** health organizations faced a lack of quarantine houses and medical test facilities at the first level of testing by the proposed *** any serious condition is observed at the first level testing,then patients should be recommended to be *** this study,an IoT-enabled smart monitoring system is proposed to detect COVID-19 positive patients and monitor them during their home *** Internet of Medical Things(IoMT),known as healthcare IoT,is employed as the foundation of the proposed *** least-squares(LS)method was applied to estimate the linear model parameters for a sequential pilot survey.A statistical sequential analysis is performed as a pilot survey to efficiently collect preliminary data for an extensive survey of COVID-19 positive *** Bayesian approach is used,based on the assumption of the random variable for the priori distribution of the data *** inference is used to construct different rules based on the basic symptoms of COVID-19 patients to make an expert decision to detect COVID-19 positive ***,the performance of the proposed model was determined by applying a four-fold cross-validation technique.

关键词： Pandemic COVID-19 internet of medical things least square fuzzy inference

Strip-coalesced interior zone model for two unequal collinear cracks weakening piezoelectric media

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Applied Mathematics and Mechanics(English Edition) 2014年第10期35卷 1249-1260页

作者： R.R.bhargava K.JANGID Department of Mathematics Indian Institute of Technology Roorkee

In this paper, a mathematical strip-saturation model is proposed for a poled transversely isotropic piezoelectric plate weakened by two impermeable unequal-collinear hairline straight cracks. Remotely applied in-plane unidirectional electromechanical loads open the cracks in mode-I such that the saturation zone developed at the interior tips of cracks gets coalesced. The developed saturation zones are arrested by distributing over their rims in-plane normal cohesive electrical displacement. The problem is solved using the Stroh formalism and the complex variable technique. The expressions are derived for the stress intensity factors （SIFs）, the lengths of the saturation zones developed, the crack opening displacement （COD）, and the energy release rate. An illustrative numerical case study is presented for the poled PZT-5H ceramic to investigate the effect of prescribed electromechanical loads on parameters affecting crack arrest. Also, the effect of different lengths of cracks on the SIFs and the local energy release rate （LERR） has been studied. The results obtained are graphically presented and analyzed.

关键词： crack opening displacement (COD) energy release rate piezoelectric ce-ramic Stroh formalism saturation zone unequal-collinear crack

Effects of harvesting intensities and techniques on re-growth dynamics and quality of Terminalia bellerica fruits in central India

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Journal of Forestry Research 2014年第1期25卷 177-184页

作者： A.K.Pandey Pankaj bhargava Tropical Forest Research Institute

Terminalia bellericaRoxb. （Belleric myrobalan） is one of the important multipurpose trees in central India. The fruits of the tree are highly valued for medicinal uses, with the greatest demand coming from the pharmaceutical industry. This has resulted in overexploitation and present harvesting practices have led to a significant decline in natural regeneration for this tree species. Our study was conducted from 2006 to 2009 in Chhattisgarh （India） to standardize suitable harvesting practices for sustainable management for this valuable species. Experiments were conducted at four different sites located in Dhamtari, Sarguja, and Rai-garh forest divisions of the state, covering both protected and open forest in a complete randomized block design （RCBD）. At each site, linear transects of 200 m× 100 m （2 ha） were randomly selected to sample the initial population and study the effects of two harvesting methods （tradi-tional and nondestructive） and four harvesting intensities （60%, 70%, 80%, and 90%） on the sustainability ofT. bellerica. Fruits were collected and analyzed for their tannin and gallic acid content. Significant increase in tannin and gallic acid content was found with the maturity of fruits （September to December）. This is the first study to experimentally assess the consequences of harvesting ofT. bellericafruits in central India. Our findings reveal that harvesting intensity, time, and method are key factors for maintaining the population. Nondestructive harvesting meth-ods were found to be superior to traditional harvesting in terms of regen-eration, recruitment, and concentration of active ingredients. When the fruits were harvested through non-destructive means at maturity, the population of species increased. The study concludes that 70% harvest of T. bellerica fruits through non-destructive means maintains the sustain-ability and provides quality raw material for the pharmaceutical industry.

关键词： Terminalia bellerica nondestructive harvesting active ingredient concentration Chhattisgarh India

Pulsed light processing of foods for microbial safety

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Food Quality and Safety 2017年第3期1卷 187-201页

作者： M.L.bhavya H.Umesh Hebbar Department of Technology Scale-up CSIR-Central Food Technological Research InstituteMysoreIndia.

The demand for processed foods and the awareness about food quality and safety are increasing *** consumers’demand for minimally processed foods and growing competition in the market have made the processors to adopt newer non-thermal technologies that preserve nutrients and sensory properties of the ***,heat processing of foods is carried out to convert raw material into value-added product,reduce or eliminate microbial load to improve safety,and extend shelf *** of the limitations of thermal processing techniques can be overcome by employing non-thermal *** hydrostatic pressure,pulsed electric field,ultrasound,cold plasma,dense phase carbon dioxide,ozone,and pulsed light(PL)processing are gaining popularity in food *** technology is a non-thermal technology,where sterilization and decontamination are achieved by impinging high-intensity light pulses of short durations on surfaces of foods and high-transmission *** a few reports on the PL technology are available,in-depth studies on this are needed to adopt at a commercial *** present review provides an overview of light-based processing of foods and covers important aspects such as different PL systems used for processing of foods,mode of action of PL on microbes,the effect of PL on liquid foods,surface decontamination of foods and parameters that affect PL efficacy,combination processing with *** the growing demand in non-thermal processing for the technological advancement in the area of generation of light,light-based processing will be a promising technology for microbial load reduction.

关键词： Pulsed light Food safety Non-thermal processing Minimally processed Microbial load.