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

Wind Turbine Machine Models01:24

Wind Turbine Machine Models

133
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...
133
Regional Terms01:12

Regional Terms

9.6K
Regional terms describe anatomy by dividing the body parts into different regions that contain structures involved in contributing similar functions. Using these terms helps increase the accurate description and identification of the particular region of interest or region affected by the disease.
Primarily, the human body has two major regions, the axial and appendicular regions. The axial region comprises regions from the head to the abdomen and makes up the central body axis. In contrast,...
9.6K
Boundary Layer Characteristics01:18

Boundary Layer Characteristics

109
When a fluid encounters a solid surface, a boundary layer forms due to the interaction between the fluid's motion and the stationary surface. This phenomenon is characterized by a thin region adjacent to the surface where viscous forces dominate, influencing the fluid's velocity profile. The development of the boundary layer begins at the leading edge of the surface and evolves as the fluid moves downstream.As the fluid flows over the surface, friction between the fluid and the wall slows down...
109
Energy Line and Hydraulic Gradient Line01:27

Energy Line and Hydraulic Gradient Line

1.0K
Based on Bernoulli's equation, the energy line (EL) and hydraulic grade line (HGL) provide graphical representations of energy distribution in a fluid flow system. For steady, incompressible, inviscid flows, Bernoulli's equation is expressed as:
1.0K
Turbine-Governor Control01:17

Turbine-Governor Control

222
Turbine-governor control is crucial for maintaining power system stability by balancing turbine mechanical power output with electrical load demand. This mechanism ensures that generator frequency and rotor speed are within acceptable limits during load variations. Turbine-generator units store kinetic energy due to their rotating masses; this energy is released to meet the load requirement when the load increases. The electrical torque of turbines rises to meet the demand, whereas the...
222
Energy Considerations in Open Channel Flow01:27

Energy Considerations in Open Channel Flow

90
Open channel flow, where a fluid flows with a free surface exposed to the atmosphere, is primarily governed by gravitational and surface effects, distinguishing it from closed conduit or pipe flow. In open channels such as rivers, canals, and artificial channels, energy analysis provides valuable insights into flow behavior and the relationship between depth, velocity, and slope.Specific Energy and Flow DepthIn open channel flow, the specific energy, E, combines the gravitational potential...
90

You might also read

Related Articles

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

Sort by
Same author

Evaluating the robustness and readiness of large frontier models in health AI applications.

Nature medicine·2026
Same author

Sodium crotonate alleviates diabetic cardiomyopathy in association with enhanced histone H3K18 crotonylation.

Scientific reports·2026
Same author

The association between AST/ALT (De Ritis) ratio and osteoporosis or bone mineral density in middle-aged and older adults: A cross-sectional analysis of NHANES data.

Medicine·2026
Same author

Plasma soluble triggering receptor expressed on myeloid cells 2 levels and clinical outcomes in acute decompensated heart failure: A retrospective cohort study.

The Journal of international medical research·2026
Same author

Psychosocial predictors of chemotherapy-induced nausea and vomiting among chemotherapy-naïve cancer patients: a prospective multicenter cohort study.

Journal of cancer survivorship : research and practice·2026
Same author

Parameters of dual-layer spectral detector CT for differentiating pathological types of colorectal adenocarcinoma.

Insights into imaging·2026
Same journal

Wildland Fires in the US between 2007 and 2018: Characterizing Equity in Exposures and Health Impacts.

Environmental science & technology·2026
Same journal

Profiling Active Low-Abundance Microbes in As/Sb-Contaminated Soils via d-Amino Acid-Based In Situ Labeling.

Environmental science & technology·2026
Same journal

Looking beyond Sorption in GAC Filters: How Extended Contact Times and Functionally Distinct Microbial Biomass Enable Enhanced Micropollutant Biodegradation.

Environmental science & technology·2026
Same journal

Integrating Experiments and Models To Unravel Interactions between Soil Organic Matter and Enhanced Weathering.

Environmental science & technology·2026
Same journal

Role of Advanced Direct Extraction Technologies in Reducing Environmental Impacts of Lithium Production.

Environmental science & technology·2026
Same journal

Comparison of High Spatial Resolution PM<sub>2.5</sub>, PM<sub>10</sub>, and NO<sub>2</sub> Estimates Using a Deep Ensemble Machine Learning Framework in a Low Pollution Setting.

Environmental science & technology·2026
See all related articles

Related Experiment Video

Updated: Jul 1, 2025

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
09:55

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

Published on: December 12, 2013

8.7K

Land Resources for Wind Energy Development Requires Regionalized Characterizations.

Tao Dai1,2, Jeya Maria Jose Valanarasu3, Yifan Zhao4

  • 1School of Advanced International Studies, Johns Hopkins University, Washington, District of Columbia 20036, United States.

Environmental Science & Technology
|March 4, 2024
PubMed
Summary
This summary is machine-generated.

Accurate wind energy land use estimates are crucial. This study uses machine learning and GIS to quantify land transformation and efficiency, revealing that less human-modified areas yield better results for wind projects.

Keywords:
Environmental Impact AssessmentGeographical Information SystemImage SegmentationLand UseLife Cycle AssessmentMachine LearningRemote SensingWind EnergyWind Power

More Related Videos

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.2K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.0K

Related Experiment Videos

Last Updated: Jul 1, 2025

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
09:55

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

Published on: December 12, 2013

8.7K
Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
09:44

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

10.2K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.0K

Area of Science:

  • Environmental Science
  • Renewable Energy Technology
  • Geographic Information Systems

Background:

  • Estimates of land area occupied by wind energy vary significantly due to data limitations and inconsistent methodologies.
  • Accurate quantification of land use is essential for efficient wind project development and comparison with other energy sources.

Purpose of the Study:

  • To develop and apply a novel method for consistently quantifying the land area and impact of wind energy projects.
  • To assess the influence of prior land use and human modification on wind energy land-use efficiency and land transformation.

Main Methods:

  • Combined machine learning-based imagery analysis with geographic information systems (GIS).
  • Analyzed 318 wind farms (15,871 turbines) in the U.S. Western Interconnection.
  • Utilized buffered geometry as a proxy for peripheral turbine impact assessment.

Main Results:

  • Wind projects in areas with low human modification show higher land-use efficiency (63.8 ± 8.9 W/m²) and lower land transformation (0.24 ± 0.07 m²/MWh).
  • Projects in highly modified areas exhibit significantly greater land-use efficiency (447 ± 49.4 W/m²) but lower land transformation (0.05 ± 0.01 m²/MWh).
  • The developed method reduces workload by over 99% compared to traditional approaches.

Conclusions:

  • A replicable method for consistent land resource quantification in wind energy is established.
  • Prior land use is a critical factor influencing the land-use efficiency and transformation of wind projects.
  • The findings support regionalized impact assessments and improved comparisons of renewable energy alternatives.