Use linear relations to analyze and mathematically describe the price of solar panels over time.
Students deepen their understanding of linear relations and effective mathematical descriptions. They examine graphs of solar PV module prices and cumulative capacity to determine the predictability of the price. They use lines of best fit to determine the strength of the relationship as a linear relation.
This activity gets students thinking about what they have learned on two-variable continuous linear relations.
Knowledge of solar PV modules is not required for this activity. A solar photovoltaic (PV) module is also known as a solar panel; a panel is composed of interconnected solar PV cells. The total cumulative installed capacity represented the total maximum potential electrical power output of all the installed solar PV modules.
The price of solar PV modules has fallen more than 100-fold since 1976. On average, the cost falls by 22 percent for every doubling in solar PV capacity (although progress has not necessarily been constant over this period).
When asking students to make a conjecture, explain that a conjecture is when mathematicians use available data, evidence, and knowledge to make the best decision possible.
In the slides, graph 1 is log-log scale, and graph 2 is linear-linear scale.
In B.C., 96% of the electricity generated by BC Hydro is clean energy. Solar panels are another source of clean, sustainable energy that can supplement the clean energy produced by hydroelectric dams.
Students may be assessed on their understanding of:
Explore a range of options and generate new ideas for practical and powerful actions.
Using criteria to decide which scientific claims are the most believable.
How can our future needs for clean energy be met while also respecting the perspectives of various stakeholders?
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