Power Metering Project

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Description

This activity focuses on applying analytic tools such as pie charts and bar graphs to gain a better understanding of practical energy use issues. It also provides experience with how different types of data collected affect the outcome of statistical visualization tools.

HS-ESS3-2 Evaluate competing design solutions for developing, managing, and utilizing energy and mineral resources based on cost-benefit ratios.

HS-ETS1-3 Evaluate a solution to a complex real-world problem based on prioritized criteria and trade-offs that account for a range of constraints, including cost, safety, reliability, and aesthetics as well as possible social, cultural, and environmental impacts.

Analyze data to identify design features or characteristics of the components of a proposed process or system to optimize it relative to criteria for success.

Ask questions to determine relationships, including quantitative relationships, between independent and dependent variables.

Design, evaluate, and/or refine a solution to a complex real-world problem, based on scientific knowledge, student-generated sources of evidence, prioritized criteria, and tradeoff considerations.

Evaluate competing design solutions to a real-world problem based on scientific ideas and principles, empirical evidence, and logical arguments regarding relevant factors (e.g. economic, societal, environmental, ethical considerations).

Communicate scientific and/or technical information or ideas (e.g. about phenomena and/or the process of development and the design and performance of a proposed process or system) in multiple formats (including orally, graphically, textually, and mathematically).

Manipulate variables and collect data about a complex model of a proposed process or system to identify failure points or improve performance relative to criteria for success or other variables.

When evaluating solutions it is important to take into account a range of constraints including cost, safety, reliability and aesthetics and to consider social, cultural and environmental impacts.

All forms of energy production and other resource extraction have associated economic, social, environmental, and geopolitical costs and risks as well as benefits. New technologies and social regulations can change the balance of these factors.

Systems can be designed to cause a desired effect.

Cause and effect relationships can be suggested and predicted for complex natural and human designed systems by examining what is known about smaller scale mechanisms within the system.

Energy cannot be created or destroyed—it only moves between one place and another place, between objects and/or fields, or between systems.

Systems can be designed for greater or lesser stability.

Algebraic thinking is used to examine scientific data and predict the effect of a change in one variable on another (e.g., linear growth vs. exponential growth).

Patterns of performance of designed systems can be analyzed and interpreted to reengineer and improve the system.

Mathematical representations are needed to identify some patterns.

Systems can be designed to do specific tasks.

Power Metering Project

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Performance Expectations

Science and Engineering Practices

Disciplinary Core Ideas

Crosscutting Concepts