Land Based Wind Turbine (120 m) Threat [U.S. Fish and Wildlife Service] Full Details

Full Details

Title:

Land Based Wind Turbine (120 m) Threat [U.S. Fish and Wildlife Service]

Description:

TheGeospatial Energy Mapper(GEM) provides mapping data and analysis tools for planning energy infrastructure in a geographic context. GEM is an interactive web-based decision support system that allows users to locate areas with high suitability for clean power generation and potential energy transmission corridors in the United States. Users can browse and download data layers, or create a custom suitability model to identify areas for energy development. GEM is built on the core data and capabilities of theEnergy Zones Mapping Tool(EZMT). GEM features an improved user interface, updated data, and additional capabilities. Argonne National Laboratory hosts the tool with funding from the U.S. Department of Energy (DOE) Office of Electricity.This model is specific to land-based wind turbines (120 m). We modified the default model parameters to remove the habitat and protected areas elements. As a result, this layer represents the threat of energy development from a utility perspective and does not consider whether development is suitable from a conservation perspective. We considered a threat-only layer to be more complementary to the Southeast Blueprint, which already depicts conservation priorities. In addition, the source data for the habitat and protected areas elements were outdated and provided inconsistent coverage across the SECAS geography.We kept the default weights for all remaining model input layers as shown in the bulleted list below. The default and customizable models are downloadable fromthe GEM viewer. These data are provided for use in combination with the Blueprint and other data available on theSECAS Atlas. We chose the 120 m model (rather than the 80 m or 100 m models) based on the overall trend of increasing turbine size, and the reduction in wind shear and increase in available wind speed at higher altitudes (Department of Energy 2023).Distance in Meters to an Airport (weight = 2)Population Density (weight = 1)Distance (m) to Substation (≥ 345 kV) (weight = 3)Distance in Meters to Major Road (weight = 1)Land Cover (NLCD 2019) (weight = 1)Mean Annual Wind Speed (Land-based at 120 m) (weight = 5)For more information on these model parameters or to view and download this layer from its native mapper:Visithttps://gem.anl.gov/toolSelect "Find suitable areas" from the sidebar on the leftChoose wind technologyChoose the Land-based wind turbine (120 m) modelView/download the default model or customize as described abovePlease direct any questions togem@anl.gov.

Creator:

Department of the Interior

Provider:

U.S. Fish and Wildlife Service Open Data

Resource Class:

Imagery and Web services

Resource Type:

Satellite imagery

Temporal Coverage:

Last modified 2023-10-27

Date Issued:

2023-10-27

Place:

United States

Rights:

This material was prepared as an account of work sponsored by the U.S. Department of Energy under agreement US DOE DE- OE000316. Neither the U.S. Department of Energy, the United States Government, nor any other agency thereof, nor the UChicago Argonne, LLC or University of Chicago, nor any of their employees or officers, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product or process disclosed, or represents that its use would not  infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the U.S. Department of Energy, United States Government or any other agency thereof.

Access Rights:

Public

Format:

Imagery

Language:

English

Date Added:

2023-11-21