In this activity, students assume the role of a team of architects that has been commissioned to build a solar house containing both active and passive solar components. First, they must design the house and then build a model. The model is tested to determine how well it utilizes solar energy.
Students explore their own Ecological Footprint in the context of how many Earths it would take if everyone used the same amount of resources they did. They compare this to the Ecological Footprint of individuals in other parts of the world and to the Ecological footprint of a family member when they were the student's age.
This long classroom activity introduces students to a climate modeling software. Students visualize how temperature and snow coverage might change over the next 100 years. They run a 'climate simulation' to establish a baseline for comparison, do a 'experimental' simulation and compare the results. Students will then choose a region of their own interest to explore and compare the results with those documented in the IPCC impact reports. Students will gain a greater understanding and appreciation of the process and power of climate modeling.
This video on phenology of plants and bees discusses the MODIS satellite finding that springtime greening is happening one half-day earlier each year and correlates this to bee pollination field studies.
This simplified animation of a geothermal power plant from the U.S. Department of Energy illustrates commonalities with traditional power-generating stations. While there are many types of geothermal power plants, this animation shows a generic plant.
In this video segment from NOVA's Saved By the Sun hour-long video, students learn about photovoltaics and see how two families are using solar technologies in their homes. The video introduces the ideas of state incentives and net metering benefits.
This activity focuses on applying analytic tools such as pie charts and bar graphs to gain a better understanding of practical energy use issues. Also provides experience with how different types of data collected affect the outcome of statistical visualization tools.