Skip to content
LAT37.8044° NLON122.2711° WX-13611157 mY4551831 mE564166 mN4184363 mE6050014 ftN2120204 ftBRG041.0°041.0°040.6°042.1°ZOOM11.0CRS
Dataset

Power plants in Coryell County, Texas

Two power plants in Coryell County, Texas, detailed in this GIS dataset: Panda Temple Power Station and Phantom Solar, featuring capacity and generation data.

A map of Power plants in Coryell County, Texas
A map of Power plants in Coryell County, TexasOpen the live map →

Make this map yours

Open it in Felt to style, filter, and analyse the data, or export it as a GeoPackage.

Open the map →Customize this map free

About the map

GIS professionals focusing on Coryell County, Texas, can access detailed datasets on local power plants here. The dataset includes specifics on major facilities like Panda Temple Power Station and Phantom Solar, which together illuminate the region’s varied approach to energy generation through both gas and solar power. Each entry provides comprehensive insights from capacity in megawatts to historical generation data, sourced reliably from the U.S. Energy Information Administration, simplifying the analysis of energy trends and infrastructure in Coryell County. This selection offers a snapshot that aids in energy project planning and analysis suited to professional interests and requirements.

Exploring the Power plants in Coryell County, Texas dataset will reveal features like:

  • Panda Temple Power Station (Gas) owned by PPG - O&M Panda Temple Power LLC
  • Phantom Solar (Solar) owned by Phantom Solar LLC

Following account creation on Felt, access your customized interactive map featuring Power plants in Coryell County, Texas. Utilize intuitive tools for customization, analysis, and data export in GeoPackage format. Additionally, access our vast compilation of pre-existing GIS data, offering numerous supplementary datasets designed for Coryell County, Texas.

Explore related geographical datasets

Try Felt

Bring your data, see it on the map

Connect a database or drop in a file and see your data live on a map in minutes.