This engaging video focuses on national and global wind energy potential by specifically highlighting Texas' role as wind energy leader and energy efficiency efforts in Houston, Texas.

In this classroom activity, students analyze regional energy usage data and their own energy bills to gain an understanding of individual consumption, regional uses, costs, and sources of energy.

This activity leads students through a sequence of learning steps that highlight the embedded energy that is necessary to produce various types of food. Students start by thinking through the components of a basic meal and are later asked to review the necessary energy to produce different types of protein.

In this activity, students use Google Earth to investigate ideal features of wind farms.

This activity challenges students to try and meet the world's projected energy demand over the next century, decade by decade, by manipulating a menu of available energy sources in the online Energy lab simulator all while keeping atmospheric CO2 under a target 550ppm.

This as a 2-part activity in which students study the properties of CO2 in a lab and then use web resources to research different types of carbon capture. A video lecture accompanies the activity.

This video segment explores whether, in principle, renewable energy resources could meet today's global energy needs of about 15.7 terawatts.

This multi-week project begins with a measurement of baseline consumptive behavior followed by three weeks of working to reduce the use of water, energy, high-impact foods, and other materials. The assignment uses an Excel spreadsheet that calculates direct energy and water use as well as indirect CO2 and water use associated with food consumption. After completing the project, students understand that they do indeed play a role in the big picture. They also learn that making small changes to their lifestyles is not difficult and they can easily reduce their personal impact on the environment.

Students go through the design process and the scientific process to test the effect of blade design on power output. There is an optional extension to use the data to create an optimal set of wind turbine blades.

This visualization is a utility-scale, land-based, 80-meter wind map. It states, utilities, and wind energy developers use to locate and quantify the wind resource, identifying potentially windy sites within a fairly large region and determining a potential site's economic and technical viability.