A Swarm intelligence approach for statistical modeling of wind speed and direction: A case study of new york bight

Navid Salami Pargoo, Erfan Amini, Mahshid Mohammad Zadeh, Muhammad Hajj

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present statistical modeling of wind speed and direction in the New York Bight region using a Weibull distribution for wind speed and a mixture of von Mises distributions for wind direction. The historic wind data for the years 2019-2021 with a 6-min sampling frequency are divided into two half-yearly intervals based on wind power, representing different seasonal behaviors. The parameters of von Mises distributions are estimated using four different metaheuristic optimization algorithms. The suitability of the distributions is judged based on the Pearson correlation coefficient, which indicates good fits for the proposed models. The results demonstrate the flexibility of the proposed models in representing the probability density function of wind direction regimes in zones with several modes or prevailing wind directions. This research provides valuable insights into the evaluation process of wind energy resources of the New York/New Jersey Bight region, including wind farm layout optimization.

Original languageEnglish
Title of host publicationComputing in Civil Engineering 2023
Subtitle of host publicationData, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023
EditorsYelda Turkan, Joseph Louis, Fernanda Leite, Semiha Ergan
Pages176-185
Number of pages10
ISBN (Electronic)9780784485224
DOIs
StatePublished - 2024
EventASCE International Conference on Computing in Civil Engineering 2023: Data, Sensing, and Analytics, i3CE 2023 - Corvallis, United States
Duration: 25 Jun 202328 Jun 2023

Publication series

NameComputing in Civil Engineering 2023: Data, Sensing, and Analytics - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023

Conference

ConferenceASCE International Conference on Computing in Civil Engineering 2023: Data, Sensing, and Analytics, i3CE 2023
Country/TerritoryUnited States
CityCorvallis
Period25/06/2328/06/23

Keywords

  • Metaheuristic Optimization
  • New York-New Jersey Bight
  • Statistical Wind Modeling
  • von Mises Distribution
  • Weibull Distribution
  • Wind Energy Farm

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