Lesson 4: Energy Resources, Efficiency, and Engineering Design
Duration of Days: 3
Lesson Objective
Students will be able to evaluate renewable and nonrenewable energy systems using data-driven analysis of efficiency, output, and environmental impact
Students will design, test, and refine engineering solutions that optimize energy conversion and reduce energy loss
Students will construct evidence-based arguments comparing energy resources in terms of sustainability and real-world feasibility
What criteria define renewable versus nonrenewable energy sources?
How do energy production choices impact environmental and societal systems?
How is energy efficiency measured and why is it always less than 100% in real systems?
How do engineering constraints influence the design of energy conversion devices?
What design strategies can reduce energy loss in engineered systems?
How can data be used to justify energy policy and engineering decisions?
Renewable energy
Nonrenewable energy
Fossil fuels
Solar energy
Wind energy
Hydroelectric energy
Geothermal energy
Energy efficiency
Input energy
Output energy
Energy loss
Engineering design process
Sustainability
Environmental impact
HS-PS3-3
Design, evaluate, and refine a device that converts energy from one form to another, based on criteria such as efficiency, performance, and constraints
HS-ESS3-1
Evaluate real-world data on natural resource availability and use scientific reasoning to describe how human energy choices impact environmental and societal systems
NGSS Crosscutting Concepts
Energy and Matter
Systems and System Models
Cause and Effect
Stability and Change
Analyze comparative datasets of renewable and nonrenewable energy sources
Interpret efficiency graphs and energy loss models
Evaluate environmental impact charts to support claims about energy choices
Construct CER and argument-based responses using scientific evidence
Students will evaluate multiple energy sources and their real-world implications while engaging in a full engineering design cycle. Students will analyze data on energy efficiency and environmental impact, then design, test, and refine a device that converts energy from one form to another.
Students will justify design decisions using evidence from performance data and environmental trade-offs.
Activities may include:
Engineering design challenge: solar oven, wind turbine, or energy conversion prototype
Efficiency testing and iterative redesign cycles
Comparative analysis of renewable vs nonrenewable energy datasets
Graphing and interpreting energy output vs input
CER writing on energy source trade-offs
Presentation of engineering solutions with justification
Purpose: Apply scientific energy principles to real-world engineering challenges by evaluating sustainability, efficiency, and environmental impact through data-driven design solutions.
DOK Level: 4 (Extended Thinking / Strategic and Adaptive Reasoning)
Global energy access and equity issues
Climate change mitigation and renewable energy adoption
Community-level energy consumption and conservation choices
Innovation in sustainable engineering and green technology
Real-world policy decisions based on energy data and environmental impact
Renewable energy has no environmental impact
Efficiency means energy is created or increased
All energy sources have equivalent trade-offs
Engineering design has only one correct solution
Energy systems can be perfectly efficient in real-world conditions
Structured engineering design process with checkpoints
Role-based collaboration (designer, analyst, data manager, presenter)
Scaffolded CER and argument writing frames
Visual comparisons of energy systems and efficiency data
Teacher-guided iteration and redesign feedback loops
Choice-based design options for engineering challenge
- Engineering design project with prototype testing
- Efficiency analysis lab report
- CER comparing energy resources and impacts
- Quizzes on energy systems and sustainability concepts
- Performance-based rubric for design iteration and justification
- Presentation of final engineering solution with data support
- Solar oven kits or construction materials
- Wind turbine or fan-based testing systems
- Energy efficiency measurement tools
- Comparative energy data sets and charts
- Simulation tools for energy systems modeling
- Engineering design tracking sheets and rubrics