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Related Concept Videos

Wind Turbine Machine Models01:24

Wind Turbine Machine Models

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...
Design Example: Calculating Safe Diameter for Wind-Exposed Disc01:17

Design Example: Calculating Safe Diameter for Wind-Exposed Disc

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...
Optimal Foraging00:48

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Conservation of Declining Populations

Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
Conservation of Small Populations02:04

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Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less likely to...

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Related Experiment Video

Updated: May 14, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Optimizing wind power generation while minimizing wildlife impacts in an urban area.

Gil Bohrer1, Kunpeng Zhu, Robert L Jones

  • 1Department of Civil, Environmental and Geodetic Engineering, The Ohio State University, Columbus, Ohio, USA. bohrer.17@osu.edu

Plos One
|February 15, 2013
PubMed
Summary

Optimizing wind turbine placement in urban areas is challenging. An exclusion zone approach, considering wind, buildings, and bird density, effectively balances power generation with wildlife safety.

Related Experiment Videos

Last Updated: May 14, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Area of Science:

  • Environmental Science
  • Renewable Energy Engineering
  • Urban Planning

Background:

  • Wind turbine siting is crucial for power output, influenced by local wind fields and ground-level wind speeds.
  • Urban environments present unique challenges for wind turbine placement due to space limitations, existing infrastructure, and wildlife hazards.
  • Minimizing risks to wildlife is a significant consideration in the siting of wind turbines, especially in populated areas.

Purpose of the Study:

  • To develop and evaluate an exclusion zone approach for optimizing wind turbine placement in complex urban settings.
  • To integrate wind field data, power output predictions, and wildlife density information for effective turbine siting.
  • To assess the impact of wildlife exclusion zones on potential wind power generation in an urban campus environment.

Main Methods:

  • Utilized Geographic Information System (GIS) records and airborne lidar data to create a 3D map of campus infrastructure (buildings, trees).
  • Employed high-resolution large-eddy simulations and long-term wind climatology to generate 3D wind fields and predict power generation potential.
  • Integrated predicted power output maps with bird survey data to inform the exclusion zone strategy.

Main Results:

  • The study successfully developed a 3D model of the urban environment, including buildings and trees, and mapped wind resources.
  • Predicted wind power generation potential was mapped across the campus, considering land-surface effects.
  • Excluding areas with high bird densities showed only a modest reduction in available sites for wind power generation.

Conclusions:

  • The exclusion zone approach is a viable method for incorporating wildlife hazard considerations into wind turbine siting in urban areas.
  • This methodology allows for the integration of power output predictions and wildlife data in complex environments, even without precise knowledge of wildlife-turbine interactions.
  • The findings suggest that urban wind turbine placement can be optimized to mitigate wildlife risks without significantly compromising energy generation potential.