Probabilistic and deterministic analysis of single diode model of a solar cell: a case study

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Akshit Samadhiya ◽  
Kumari Namrata
Keyword(s):  
Solar Cell ◽  
Objective Function ◽  
Surface Defects ◽  
Parametric Uncertainty ◽  
Monte Carlo Sampling ◽  
Standard Test ◽  
Test Case ◽  
Electrical Parameters ◽  
Deterministic Analysis ◽  
Set Of Points

Abstract The paper presents a probabilistic and deterministic analysis for parameterization of solar cells to study the electrical behavior based on single diode model. Estimation of electrical parameters is important in design, control, and delivery of solar power through a solar cell. Due to non-linearity and non-convexity of the parameterization problem, the single objective function is transformed into set of sub-problems through Pascoletti–Serafini Scalarization using ε -constraint method. Thus, each sub-problem is minimized to obtain a unique set of points on Pareto front. The results are compared with multi-variable Newton Raphson (NR), Particle Swarm Optimization (PSO), and Black Widow Optimization (BWO) based on convergence accuracy, precision and ability to trace non-convex region. Solarex MSX83 (36 cells) is considered as the test case for the validation of deterministic optimization models under Standard test Conditions (STCs). Electrical characteristics are plotted under STC (1000 W/m2, 1.5 A.M. spectrum, 25 °C) which shows fair agreement with the actual experimental curves present in the datasheet. The results obtained from the proposed bi-objective minimization algorithm shows a better convergence response with an additional benefit of tracing the convexity of the problem. Moreover, the proposed technique also ensures a good fit as suggested by the statistical means. Finally, a probabilistic model is proposed for single diode model of a solar cell in the presence of parametric uncertainty. Random samples of uncertain electrical parameters are obtained using Latin hypercube and Monte Carlo sampling methods to estimate the probability of the output response. It can be concluded that the objective function shows a bi-modal distribution under parametric variations which may arise due to measurement error, shading losses, surface defects, and manufacturing issues.

An Improved Engineering Model of Silicon Solar Cell

2011 ◽  
Vol 204-210 ◽  
pp. 1669-1672 ◽  
Author(s):  
Zhi Ling Liao ◽  
Yan Jie Xu ◽  
Dong Xu
Keyword(s):  
Solar Cell ◽  
Solar Radiation ◽  
Silicon Solar Cell ◽  
Model Error ◽  
Standard Test ◽  
Experimental Results ◽  
Engineering Model ◽  
Electrical Parameters ◽  
Test Conditions ◽  
Practical Engineering

An improved engineering model of silicon solar cell is proposed, which uses only four electrical parameters under standard test conditions provided by manufactures. Simulation and experimental results show that the model error was 6 percent below for various combinations of solar radiation and temperature and its accuracy is sufficient for most practical engineering cases.

scholarly journals A Microtester for Measuring the Reliability of Microdevices in Controlled Environmental Conditions

Micromachines ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 585
Author(s):  
Yunjia Li ◽  
Weitao Dou ◽  
Chenyuan Zhou ◽  
Xinyi Wang ◽  
Aijun Yang ◽  
...  
Keyword(s):  
Environmental Conditions ◽  
Environmental Parameters ◽  
Test System ◽  
Standard Test ◽  
Electrical Parameters ◽  
Vibration Energy Harvester ◽  
Electromagnetic Vibration ◽  
Small Footprint ◽  
Humidity Range ◽  
Decoupling Algorithm

A miniaturized reliability test system for microdevices with controlled environmental parameters is presented. The system is capable of measuring key electrical parameters of the microdevices while controlling the environmental conditions around the microdevices. The test system is compact and thus can be integrated with standard test equipment for microdevices. By using a feed-forward decoupling algorithm, the presented test system is capable of generating a temperature range of 0–120 °C and a humidity range of 20–90% RH (0–55 °C), within a small footprint and weight. The accuracy for temperature and humidity control is ±0.1 °C and ±1% RH (30 °C), respectively. The functionality of the proposed test system is verified by integrating it with a piezo shaker to test the environmental reliability of an electromagnetic vibration energy harvester. The proposed system can be used as a proof-of-technology platform for characterizing the performance of microdevices with controlled environmental parameters.

Determination of solar cell electrical parameters and resistances using color and white LED-based solar simulators with high amplitude pulse input voltages

2013 ◽  
Vol 54 ◽  
pp. 131-137 ◽  
Author(s):  
Anon Namin ◽  
Chaya Jivacate ◽  
Dhirayut Chenvidhya ◽  
Krissanapong Kirtikara ◽  
Jutturit Thongpron
Keyword(s):  
Solar Cell ◽  
High Amplitude ◽  
White Led ◽  
Electrical Parameters ◽  
Pulse Input

scholarly journals Evaluation of a Scale-Resolving Methodology for the Multidimensional Simulation of GDI Sprays

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2699 ◽  
Author(s):  
Giovanni Di Ilio ◽  
Vesselin K. Krastev ◽  
Giacomo Falcucci
Keyword(s):  
Turbulence Modeling ◽  
Direct Injection ◽  
Test Procedure ◽  
Hybrid Approach ◽  
Development Trend ◽  
Standard Test ◽  
Gasoline Direct Injection ◽  
Model Parameters ◽  
Test Case ◽  
Passenger Cars

The introduction of new emissions tests in real driving conditions (Real Driving Emissions—RDE) as well as of improved harmonized laboratory tests (World Harmonised Light Vehicle Test Procedure—WLTP) is going to dramatically cut down NOx and particulate matter emissions for new car models that are intended to be fully Euro 6d compliant from 2020 onwards. Due to the technical challenges related to exhaust gases’ aftertreatment in small-size diesel engines, the current powertrain development trend for light passenger cars is shifted towards the application of different degrees of electrification to highly optimized gasoline direct injection (GDI) engines. As such, the importance of reliable multidimensional computational tools for GDI engine optimization is rapidly increasing. In the present paper, we assess a hybrid scale-resolving turbulence modeling technique for GDI fuel spray simulation, based on the Engine Combustion Network “Spray G” standard test case. Aspects such as the comparison with Reynolds-averaged methods and the sensitivity to the spray model parameters are discussed, and strengths and uncertainties of the analyzed hybrid approach are pointed out. The outcomes of this study serve as a basis for the evaluation of scale-resolving turbulence modeling options for the development of next-generation directly injected thermal engines.

scholarly journals Theoretical Study of Proton Radiation Influence on the Performance of a Polycrystalline Silicon Solar Cell

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Tchouadep Guy Serge ◽  
Zouma Bernard ◽  
Korgo Bruno ◽  
Soro Boubacar ◽  
Savadogo Mahamadi ◽  
...  
Keyword(s):  
Solar Cells ◽  
Solar Cell ◽  
Silicon Solar Cell ◽  
Short Circuit ◽  
Experimental Studies ◽  
High Energy ◽  
High Energy Particle ◽  
Proton Radiation ◽  
Electrical Parameters ◽  
Carrier Distribution

The aim of this work is to study the behaviour of a silicon solar cell under the irradiation of different fluences of high-energy proton radiation (10 MeV) and under constant multispectral illumination. Many theoretical et experimental studies of the effect of irradiation (proton, gamma, electron, etc.) on solar cells have been carried out. These studies point out the effect of irradiation on the behaviour of the solar cell electrical parameters but do not explain the causes of these effects. In our study, we explain fundamentally the causes of the effects of the irradiation on the solar cells. Taking into account the empirical formula of diffusion length under the effect of high-energy particle irradiation, we established new expressions of continuity equation, photocurrent density, photovoltage, and dynamic junction velocity. Based on these equations, we studied the behaviour of some electronic and electrical parameters under proton radiation. Theoretical results showed that the defects created by the irradiation change the carrier distribution and the carrier dynamic in the bulk of the base and then influence the solar cell electrical parameters (short-circuit current, open-circuit voltage, conversion efficiency). It appears also in this study that, at low fluence, junction dynamic velocity decreases due to the presence of tunnel defects. Obtained results could lead to improve the quality of the junction of a silicon solar cell.

Parametric uncertainty quantification in the Rothermel model with randomised quasi-Monte Carlo methods

2015 ◽  
Vol 24 (3) ◽  
pp. 307 ◽  
Author(s):  
Yaning Liu ◽  
Edwin Jimenez ◽  
M. Yousuff Hussaini ◽  
Giray Ökten ◽  
Scott Goodrick
Keyword(s):  
Monte Carlo ◽  
Uncertainty Quantification ◽  
Monte Carlo Methods ◽  
Wildland Fire ◽  
Parametric Uncertainty ◽  
Monte Carlo Sampling ◽  
Model Parameters ◽  
Quasi Monte Carlo ◽  
Control Variate ◽  
Fuel Model

Rothermel's wildland surface fire model is a popular model used in wildland fire management. The original model has a large number of parameters, making uncertainty quantification challenging. In this paper, we use variance-based global sensitivity analysis to reduce the number of model parameters, and apply randomised quasi-Monte Carlo methods to quantify parametric uncertainties for the reduced model. The Monte Carlo estimator used in these calculations is based on a control variate approach applied to the sensitivity derivative enhanced sampling. The chaparral fuel model, selected from Rothermel's 11 original fuel models, is studied as an example. We obtain numerical results that improve the crude Monte Carlo sampling by factors as high as three orders of magnitude.

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