Effect of Surface Plasmon-Based Improvement in Optical Absorption in Plasmonic Solar Cell

2018 ◽  
Vol 17 (04) ◽  
pp. 1760028
Author(s):  
Partha Sarkar ◽  
Bansibadan Maji ◽  
Aritra Manna ◽  
Saradindu Panda ◽  
Asish Kr Mukhopadhyay
Keyword(s):  
Solar Cell ◽  
Surface Plasmon ◽  
Noble Metals ◽  
Photovoltaic Cell ◽  
Solar Photovoltaic ◽  
Optical Fields ◽  
Proposed Model ◽  
Plasmon Frequency ◽  
The Impact ◽  
Difference Time

In the last few years, plasmonics has attracted much attention and has been included in the principal domains of nanophotonics that can manage optical fields at the nanodimension level. Its exquisite characteristic is to increase the electromagnetic fields at the nanometer scale particularly in the solar cell. In the plasmonic discipline, noble metals used as nanoparticles in which the density of the electron gas which oscillates at surface plasmon frequency at that time also enhances absorption via scattering. So the usage of plasmonics in solar cells offers better possibility of improving the performance through absorption, because the optical spectrum loss is principal as a part of the overall loss for the solar photovoltaic cell. So we investigated the impact of the nanoparticle size for the enhancement of extinction in terms of absorption and scattering by using surface plasmon resonance, and additionally studied the finite-difference time domain (FDTD)-based proposed model and found various plasmonic fields components and characterized optical enhancement in the plasmonic thin film solar cell.

Improvement of Optical Extinction by Various Wideband Dielectrics with Ag and Aunanoparticle on Metal-dielectric-semiconductor Structure in Solar Cell

2020 ◽  
Vol 10 (4) ◽  
pp. 425-432
Author(s):  
Partha Sarkar ◽  
Saradindu Panda ◽  
Bansibadan Maji ◽  
Asish K. Mukhopadhyay
Keyword(s):  
Surface Plasmon ◽  
Noble Metals ◽  
Electron Gas ◽  
Nanometer Scale ◽  
Plasmonic Resonance ◽  
Optical Fields ◽  
Optical Extinction ◽  
Plasmon Frequency ◽  
Gold Silver ◽  
Nanoscale Level

Background: In this article, photonic extinction performance of Metal Dielectric Semiconductor (MDS) nanostructure has been improved by noble metallic nanosphere such as gold, silver and copper into various wideband dielectrics like silicon di-oxide, aluminum oxide and silicon nitride. Methods: Presently, Plasmonics gives very much interest and closely involves in the main domains of nanophotonics that can control of optical fields at the nanoscale level as well as it can concentrate and enhance the electromagnetic field on the nanometer scale especially in metal dielectric semiconductor (MDS) nanostructure. Results: In plasmonics, noble metals used as nanoparticle where density of electron gas which oscillates at surface Plasmon frequency so we investigate impact of various wideband dielectrics with nanoparticle size for enhancement of extinction in terms of absorption and scattering by using surface Plasmon resonance. Conclusion: At Plasmonic resonance the efficiency will be maximum. If the size of the metallic nanosphere increases, initially the efficiency increases up to a certain wavelength then it becomes sharply decreased.

scholarly journals Determination of Technological Features of a Solar Photovoltaic Cell Made of Monocrystalline Silicon P+PNN+

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Cristian-Petre Fluieraru ◽  
Gabriel Predușcă ◽  
Horia Andrei ◽  
Emil Diaconu ◽  
Petru Adrian Cotfas ◽  
...  
Keyword(s):  
Solar Cell ◽  
Renewable Energy Sources ◽  
Electronic Devices ◽  
Photovoltaic Cell ◽  
Monocrystalline Silicon ◽  
Semiconductor Materials ◽  
Solar Photovoltaic ◽  
Photovoltaic Solar Cell ◽  
Photovoltaic Solar Cells

The development in the field of semiconductor materials and electronic devices has a great impact on systems with renewable energy sources. Determination of the functional parameters of photovoltaic solar cells is essential for the subsequent usage of these semiconductor devices. Research was made on type P+PNN+ monocrystalline silicon wafers. Crystallographic measurements of the photovoltaic solar cell were made by means of FESEM-FIB Auriga Workstation. Initial data were selected from the study of models found in the specialized literature. The experimental results were compared to classical mathematical models. Measurements made on the photovoltaic solar cell were realised in laboratory conditions on the NI-ELVIS platform produced by National Instruments.

Analysis of Maximum Possible Utilization of Solar Radiation on a Solar Photovoltaic Cell with a Proposed Model

2011 ◽  
pp. 66-69 ◽  
Author(s):  
Md. Kafiul Islam ◽  
Tanvir Ahammad ◽  
Enamul Haq Pathan ◽  
A. N. M. Mushfiqul Haque ◽  
Md. Rezwanul Haque Khandokar
Keyword(s):  
Solar Radiation ◽  
Photovoltaic Cell ◽  
Solar Photovoltaic ◽  
Proposed Model

Simulation on Temperature Characteristics of Solar Cell

2014 ◽  
Vol 900 ◽  
pp. 828-831
Author(s):  
Yu Chuan Jiang ◽  
Fang Quan Yang ◽  
Gang Lin Hu
Keyword(s):  
Solar Cell ◽  
Theoretical Study ◽  
Solar Spectrum ◽  
Photovoltaic Cell ◽  
Effect Of Temperature ◽  
Solar Photovoltaic ◽  
Theoretical Limit ◽  
Battery Materials ◽  
Study Results ◽  
Cell Conversion

The core of the system is a solar photovoltaic cell, a solar cell to work well not only to the battery materials, structures, is also affected by the external working conditions. Effect of temperature is an important condition of the battery efficiency. In this paper, how temperature affects battery features a comprehensive theoretical study, results showed that at a temperature of 300K, as M1.5 solar spectrum, the theoretical limit of solar cell conversion efficiency of 33%, corresponding to the optimum band gap of 1.4 eV. Provide a basis for the design and experimental battery.

scholarly journals Study on the Influence of Light Intensity on the Performance of Solar Cell

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhe Li ◽  
Jian Yang ◽  
Pouya Asareh Nejad Dezfuli
Keyword(s):  
Power Generation ◽  
Solar Cells ◽  
Solar Cell ◽  
Light Intensity ◽  
Influencing Factors ◽  
Photovoltaic Cell ◽  
Electrical Performance ◽  
Maximum Output ◽  
The Impact ◽  
Power Generation Performance

In order to solve the problem that the influence of light intensity on solar cells is easily affected by the complexity of photovoltaic cell parameters in the past, it is proposed based on the influence of light intensity on the power generation performance of solar cells. By analyzing the electrical performance parameters of photovoltaic cell trough solar energy and determining the influencing factors, discarding other weakly related parameters, and designing targeted research programs, according to the study of the impact of light intensity and temperature on the battery temperature changes, the performance of photovoltaic power generation was understood. The output voltage and current of the maximum power point were obtained. By analyzing its relationship with influencing factors, the impact analysis on the power generation performance of photovoltaic cells was realized. The experimental results show that the open circuit voltage, short-circuit current, and maximum output power of solar cells increase with the increase of light intensity. Therefore, it can be known that the greater the light intensity, the better the power generation performance of the solar cell.

Test of Mediation and Moderation between Employee Empathy and Customers’ Advocacy

2020 ◽  
Author(s):  
Sajjad Ahmad Afridi ◽  
Asad Shahjehan ◽  
Maqsood Haider ◽  
Dr Uzma Munawar
Keyword(s):  
Factor Analysis ◽  
Customer Loyalty ◽  
Service Sector ◽  
Mediating Effect ◽  
First Line ◽  
Private Hospitals ◽  
Proposed Model ◽  
Confirmatory Factor ◽  
The Impact ◽  
Significant Moderator

This study examined the impact of employee empathy on customers’ advocacy directly and indirectly through customers’ loyalty. Moreover, the interacting effect of customers’ trust was verified between the association of customers’ loyalty and advocacy. The attributes of the proposed model were examined in the context of first line employee and patients’ interactions. A total of 220 responses were collected for analysis from the private hospitals of Peshawar. The model fitness was confirmed through confirmatory factor analysis and hypotheses were examined. Findings confirmed the positive and significant impact of employee empathy on customers’ advocacy. Further, the mediating effect was examined and found that loyalty partially mediates employee empathy and customers’ advocacy. Additionally, trust was found a significant moderator between the association of customer loyalty and advocacy. Furthermore, findings revealed that trust based loyalty significantly and positively mediates employee empathy and customers’ advocacy. Findings of the present study provide understanding for the service sector, particularly in healthcare, to enhance customers’ loyalty, advocacy, and trust through service employee’s empathic aptitude. Keywords: Employee empathy, Service Eco-system, Customers’ Loyalty, Customers’ Advocacy, Trust-Based Loyalty, Healthcare, S-D Logic

The impact of duration observations on precision of results GNSS measurements

2017 ◽  
Vol 921 (3) ◽  
pp. 7-13 ◽  
Author(s):  
S.V. Grishko
Keyword(s):  
Measurement Accuracy ◽  
Functional Dependence ◽  
Observation Time ◽  
Satellite Networks ◽  
Satellite Measurements ◽  
Proposed Model ◽  
Actual Error ◽  
Gnss Measurements ◽  
The Impact ◽  
Qualitative Characteristics

This paper shows that the accuracy of relative satellite measurements depend not only on the length of the baseline, as it is regulated by the rating formula of accuracy of GNSS equipment, but also on the duration of observations. As a result of the strict adjustment much redundant satellite networks with different duration of observations obtained covariance matrix of baselines, the most realistic reflecting the actual error of satellite observations. Research of forms of communication of these errors from length of the baseline and duration of its measurement is executed. A significant influence of solar activity on accuracy of satellite measurements, in general, leads to unequal similar series of measurements made at different periods, for example, in the production of monitoring activities. The model of approximation of the functional dependence of accuracy of the baseline from its length and duration of observations having good qualitative characteristics is offered. Based on the proposed model, we analyzed the dynamics of changes in measurement accuracy with an increase in observation time.

scholarly journals The impact of quarantine on Covid-19 infections

2021 ◽  
Vol 10 (s1) ◽  
Author(s):  
Pablo Marshall
Keyword(s):  
Health System ◽  
Infection Rate ◽  
District Level ◽  
Infection Model ◽  
Social Distancing ◽  
Proposed Model ◽  
Lower Infection ◽  
The Impact ◽  
Lower Infection Rate ◽  
Over Time

Abstract Objectives: Coronavirushas had profound effects on people’s lives and the economy of many countries, generating controversy between the need to establish quarantines and other social distancing measures to protect people’s health and the need to reactivate the economy. This study proposes and applies a modification of the SIR infection model to describe the evolution of coronavirus infections and to measure the effect of quarantine on the number of people infected. Methods: Two hypotheses, not necessarily mutually exclusive, are proposed for the impact of quarantines. According to the first hypothesis, quarantine reduces the infection rate, delaying new infections over time without modifying the total number of people infected at the end of the wave. The second hypothesis establishes that quarantine reduces the population infected in the wave. The two hypotheses are tested with data for a sample of 10 districts in Santiago, Chile. Results: The results of applying the methodology show that the proposed model describes well the evolution of infections at the district level. The data shows evidence in favor of the first hypothesis, quarantine reduces the infection rate; and not in favor of the second hypothesis, that quarantine reduces the population infected. Districts of higher socio-economic levels have a lower infection rate, and quarantine is more effective. Conclusions: Quarantine, in most districts, does not reduce the total number of people infected in the wave; it only reduces the rate at which they are infected. The reduction in the infection rate avoids peaks that may collapse the health system.

scholarly journals A new meta-heuristic pathfinder algorithm for solving optimal allocation of solar photovoltaic system in multi-lateral distribution system for improving resilience

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Varaprasad Janamala
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Optimal Allocation ◽  
Photovoltaic System ◽  
Solar Photovoltaic ◽  
Voltage Profile ◽  
Pv System ◽  
Solar Photovoltaic System ◽  
The Impact

AbstractA new meta-heuristic Pathfinder Algorithm (PFA) is adopted in this paper for optimal allocation and simultaneous integration of a solar photovoltaic system among multi-laterals, called interline-photovoltaic (I-PV) system. At first, the performance of PFA is evaluated by solving the optimal allocation of distribution generation problem in IEEE 33- and 69-bus systems for loss minimization. The obtained results show that the performance of proposed PFA is superior to PSO, TLBO, CSA, and GOA and other approaches cited in literature. The comparison of different performance measures of 50 independent trail runs predominantly shows the effectiveness of PFA and its efficiency for global optima. Subsequently, PFA is implemented for determining the optimal I-PV configuration considering the resilience without compromising the various operational and radiality constraints. Different case studies are simulated and the impact of the I-PV system is analyzed in terms of voltage profile and voltage stability. The proposed optimal I-PV configuration resulted in loss reduction of 77.87% and 98.33% in IEEE 33- and 69-bus systems, respectively. Further, the reduced average voltage deviation index and increased voltage stability index result in an improved voltage profile and enhanced voltage stability margin in radial distribution systems and its suitability for practical applications.

scholarly journals An adaptive social distancing SIR model for COVID-19 disease spreading and forecasting

2021 ◽  
Vol 10 (s1) ◽  
Author(s):  
Said Gounane ◽  
Yassir Barkouch ◽  
Abdelghafour Atlas ◽  
Mostafa Bendahmane ◽  
Fahd Karami ◽  
...  
Keyword(s):  
Mathematical Theory ◽  
Real Data ◽  
Sir Model ◽  
Epidemic Threshold ◽  
Social Distancing ◽  
Sir Epidemic ◽  
Proposed Model ◽  
Disease Spreading ◽  
The Government ◽  
The Impact

Abstract Recently, various mathematical models have been proposed to model COVID-19 outbreak. These models are an effective tool to study the mechanisms of coronavirus spreading and to predict the future course of COVID-19 disease. They are also used to evaluate strategies to control this pandemic. Generally, SIR compartmental models are appropriate for understanding and predicting the dynamics of infectious diseases like COVID-19. The classical SIR model is initially introduced by Kermack and McKendrick (cf. (Anderson, R. M. 1991. “Discussion: the Kermack–McKendrick Epidemic Threshold Theorem.” Bulletin of Mathematical Biology 53 (1): 3–32; Kermack, W. O., and A. G. McKendrick. 1927. “A Contribution to the Mathematical Theory of Epidemics.” Proceedings of the Royal Society 115 (772): 700–21)) to describe the evolution of the susceptible, infected and recovered compartment. Focused on the impact of public policies designed to contain this pandemic, we develop a new nonlinear SIR epidemic problem modeling the spreading of coronavirus under the effect of a social distancing induced by the government measures to stop coronavirus spreading. To find the parameters adopted for each country (for e.g. Germany, Spain, Italy, France, Algeria and Morocco) we fit the proposed model with respect to the actual real data. We also evaluate the government measures in each country with respect to the evolution of the pandemic. Our numerical simulations can be used to provide an effective tool for predicting the spread of the disease.

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