Next Article in Journal
Optimal Design of an Axial-Flux Permanent-Magnet Motor for an Electric Vehicle Based on Driving Scenarios
Previous Article in Journal
Study on the Performance of the “Pendulor” Wave Energy Converter in an Array Configuration
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Energies 2016, 9(4), 286; doi:10.3390/en9040286

A Method for Estimating Annual Energy Production Using Monte Carlo Wind Speed Simulation

1
Faculty of Physical Sciences, Department of Mathematics, University of Iceland, Reykjavik IS-107, Iceland
2
Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, Centre for Productivity, Performance and Processes, University of Iceland, Hjardarhagi 6,107, Reykjavik IS-107, Iceland
*
Author to whom correspondence should be addressed.
Academic Editor: Frede Blaabjerg
Received: 23 January 2016 / Revised: 22 March 2016 / Accepted: 28 March 2016 / Published: 13 April 2016
View Full-Text   |   Download PDF [1578 KB, uploaded 13 April 2016]   |  

Abstract

A novel Monte Carlo (MC) approach is proposed for the simulation of wind speed samples to assess the wind energy production potential of a site. The Monte Carlo approach is based on historical wind speed data and reserves the effect of autocorrelation and seasonality in wind speed observations. No distributional assumptions are made, and this approach is relatively simple in comparison to simulation methods that aim at including the autocorrelation and seasonal effects. Annual energy production (AEP) is simulated by transforming the simulated wind speed values via the power curve of the wind turbine at the site. The proposed Monte Carlo approach is generic and is applicable for all sites provided that a sufficient amount of wind speed data and information on the power curve are available. The simulated AEP values based on the Monte Carlo approach are compared to both actual AEP and to simulated AEP values based on a modified Weibull approach for wind speed simulation using data from the Burfell site in Iceland. The comparison reveals that the simulated AEP values based on the proposed Monte Carlo approach have a distribution that is in close agreement with actual AEP from two test wind turbines at the Burfell site, while the simulated AEP of the Weibull approach is such that the P50 and the scale are substantially lower and the P90 is higher. Thus, the Weibull approach yields AEP that is not in line with the actual variability in AEP, while the Monte Carlo approach gives a realistic estimate of the distribution of AEP. View Full-Text
Keywords: wind speed; wind energy; Monte Carlo (MC) simulation; modified Weibull simulation; annual energy production (AEP); method wind speed; wind energy; Monte Carlo (MC) simulation; modified Weibull simulation; annual energy production (AEP); method
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Hrafnkelsson, B.; Oddsson, G.V.; Unnthorsson, R. A Method for Estimating Annual Energy Production Using Monte Carlo Wind Speed Simulation. Energies 2016, 9, 286.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top