Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

689
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
689
Wind Turbine Machine Models01:24

Wind Turbine Machine Models

230
In the growing field of wind energy, incorporating wind turbine models into transient stability analysis is essential. Induction and synchronous machines are the primary models used, with induction machines being prevalent due to their simplicity and reliability.
Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
230
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

783
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
783
Design Example: Calculating Safe Diameter for Wind-Exposed Disc01:17

Design Example: Calculating Safe Diameter for Wind-Exposed Disc

195
Assessing safety in wind-exposed installations is crucial to preventing potential failures. This example explores the calculation and design adjustments needed to mount a circular disc on a building facade, where wind forces are a primary concern. A 4-meter diameter disc was initially designed as an aesthetic feature facing winds at a velocity of 25 meters per second, with an air density of 1.25 kilograms per cubic meter. Given these conditions, the drag force on the disc was determined using...
195
Estimating Population Standard Deviation01:26

Estimating Population Standard Deviation

3.1K
When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...
3.1K
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

4.3K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Retraction Note: A review on comparative study of Savonius wind turbine rotor performance parameters.

Environmental science and pollution research international·2024
Same author

A novel technique of schedule tracker for parabolic dish concentrator.

Environmental science and pollution research international·2023
Same author

Pyrolytic conversion of human hair to fuel: performance evaluation and kinetic modelling.

Environmental science and pollution research international·2023
Same author

Estimation of wind characteristics at different topographical conditions using doppler remote sensing instrument-a comparative study using optimization algorithm.

Environmental science and pollution research international·2023
Same author

Comparative evaluation of optimal Weibull parameters for wind power predictions using numerical and metaheuristic optimization methods for different Indian terrains.

Environmental science and pollution research international·2022
Same author

Analysis of temperature distribution over pipe surfaces of air-based cavity linear receiver for cross-linear concentration solar power system.

Environmental science and pollution research international·2022

Related Experiment Video

Updated: Oct 3, 2025

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
08:54

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

Published on: February 13, 2018

8.8K

Comparative study of offshore wind energy potential assessment using different Weibull parameters estimation methods.

Harsh Patidar1, Vikas Shende2, Prashant Baredar2

  • 1Energy Centre, Maulana Azad National Institute of Technology, Bhopal, MP, India. harshpatidar777@gmail.com.

Environmental Science and Pollution Research International
|February 15, 2022
PubMed
Summary

This study assessed wind potential in Gujarat, India, using the Weibull density function. The Maximum Likelihood Method (MLM) provided the most accurate wind power density evaluation for offshore wind energy conversion.

Keywords:
Comparative analysisOffshoreParameters estimation methodsStatistical analysisWeibull distributionWind power density

More Related Videos

Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

1.3K
Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars
10:24

Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars

Published on: November 1, 2018

6.8K

Related Experiment Videos

Last Updated: Oct 3, 2025

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
08:54

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

Published on: February 13, 2018

8.8K
Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

1.3K
Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars
10:24

Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars

Published on: November 1, 2018

6.8K

Area of Science:

  • Renewable Energy
  • Wind Resource Assessment
  • Meteorology

Background:

  • Wind energy is a crucial global renewable resource.
  • Accurate wind speed distribution models are vital for wind farm design.
  • Offshore wind potential in Gujarat requires detailed characterization.

Purpose of the Study:

  • Evaluate wind characteristics and potential at Gujarat's offshore sites.
  • Utilize the Weibull density function for wind speed distribution analysis.
  • Compare various numerical methods for parameter estimation.

Main Methods:

  • Collected time-series wind data using LiDAR sensors.
  • Applied six numerical methods to compute Weibull shape (k) and scale (c) parameters at two heights.
  • Assessed method performance using goodness-of-fit tests (RMSE, R², MAPE, χ²).

Main Results:

  • All six methods were suitable for Weibull parameter estimation.
  • The Maximum Likelihood Method (MLM) demonstrated superior accuracy in wind potential evaluation.
  • Calculated wind power densities (WPD) align with observed wind data.

Conclusions:

  • The study provides essential preliminary data for wind energy conversion in Gujarat.
  • MLM is recommended for accurate wind potential assessment in the region.
  • Further site-specific analysis can refine actual wind potential determination.