Abhik Kumar Das
An empirical model for ramp analysis of utility-scale solar PV power
Short-term variability in the power generated by utility-scale solar photovoltaic (PV) plants is a cause for concern for power system operators. Without quantitative insights into such variability, system operators will have difficulty in exploiting grid integrated solar power without negatively impacting power quality and grid reliability. In this paper, we describe a statistical method to empirically model the ramping behavior of utility-scale solar PV power output for short time-scales.
Quantifying PhotoVoltaic Power Variability Using Lorenz Curve
Short-term variability of utility-scale solar PhotoVoltaic (PV) plant is a significant issue for grid reliability. It is necessary to quantify the solar power variability in order to analyze the power variations on the electricity distribution network. In this paper, a Lorenz curve-based method is described to quantify the variability of power output from a megawatt-scale solar PV plant. The proposed method is used to analyze the power variability of Yelesandra PV power plant located in the state of Karnataka, India.
Analytical derivation of explicit J–V model of a solar cell from physics based implicit model
Recently a simple explicit model was introduced to represent the J–V characteristics of an illuminated solar cell with parasitic resistances and bias dependent photocurrent as vm + jn = 1. Here the normalized voltage, v and normalized current density j can be represented as v = V/Voc and j = J/Jsc respectively, where Voc is the open circuit voltage and Jsc is the short circuit current density. This model is useful for design, characterization and simple fill factor calculation and its applicability was demonstrated with the measured data of a wide variety of solar cells.
A Statistical Model for Wind Power on the Basis of Ramp Analysis
Due to stochastic nature of wind distribution, wind power output comes with unscheduled changes called ramp events. In this paper, a semi-analytical approach is considered to analyze the distribution of ramp events. A simple empirical equation is derived based on the probability of wind ramp events considering the stochastic nature of wind power distribution for the Indian state of Karnataka.
An Empirical Model of Power Curve of a Wind Turbine
The power curve of a wind turbine grows exponentially as a function of wind-velocity if the measured wind-velocity varies between the cut-in velocity and the rated velocity In this study, we propose an empirical, two-parameter explicit model of the power curve for a wind turbine.
Analytical derivation of equivalent functional form of explicit J-V model of an illuminated solar cell from physics based implicit model
Recently a simple explicit model was introduced to represent the J–V characteristics of an illuminated solar cell with parasitic resistances and bias dependent photocurrent as j = (1 − vm)/(1 + αv), here the normalized voltage, v and normalized current density j can be represented as v = V/Voc and j = J/Jsc respectively, whereVoc is the open circuit voltage and Jsc is the short circuit current density. The model is an equivalent rational function form and useful for design, characterization and calculation of maximum power point voltage.
An explicit J–V model of a solar cell for simple fill factor calculation
The J–V equation of a solar cell is implicit and requires iterative calculation to determine the fill factor and the maximum power point. Here an explicit model for J–V characteristic is proposed which is applicable to a large variety of solar cell. This model allows an easy estimation of fill factor from four simple measurements of the bias points corresponding toVoc, Jsc, and any two voltage values lying between 0 and Voc, where Voc is the open circuit voltage and Jsc is the short circuit current density.
Analytical derivation of equivalent functional form of explicit J–V model of an illuminated solar cell from physics based implicit model
Recently a simple explicit model was introduced to represent theJ–Vcharacteristics of an illuminated solar cell with parasitic resistances and bias dependent photocurrent asj=(1−vm)/(1+αv), here the normalized voltage,vand normalized current densityjcan be represented asv=V/V
Developing a GIS-based Plume Rose for Industrial Chemical Incident Preparedness and Response
The variable nature of wind speed and direction affects the critical zones of chemical incidents (spills and effluents). We describe a method to develop a GIS-based “plume rose” using its corresponding wind rose to map the areas that might be affected by a chemical release incident. The plume rose can thus be used in the preparation and response phases of emergency management for an industrial chemical incident. In this study, we examine an industrial region in Bangalore, India and show that seasonal variation in winds significantly change the nature (size and direction) of the plume rose.
A simple explicit model approximating the relationship between speed and density of vehicular traffic on urban roads
With the increase in simulation of urban environments for the purpose of planning, modelling vehicular traffic has become important. While empirical evidence on traffic flow is relatively sparse, models representing the same are being increasingly used for planning urban roads and environments. In this paper, a simple explicit model is proposed to approximate the speed versus density of vehicular traffic flow.