Watts Next: Engineering a Coding-Based Sustainable City Grid
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Watts Next: Engineering a Coding-Based Sustainable City Grid

Grade 7MathScienceArtTechnologyComputer ScienceEnvironmental ScienceBiologyChemistryPhysics2 days
Students act as green technology engineers to design and code a smart city grid powered entirely by renewable energy sources. This interdisciplinary project integrates physics to explore energy transformation, mathematical modeling to balance power supply and demand, and computer science to develop logic for grid management. Through iterative simulation and ecological mapping, students solve complex challenges related to urban efficiency, environmental conservation, and the physics of sustainable power.
Renewable EnergySmart GridAlgorithmic ThinkingEnvironmental EngineeringMathematical ModelingSustainabilitySystems Thinking
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Inquiry Framework

Question Framework

Driving Question

The overarching question that guides the entire project.How can we, as green technology engineers, design and code a smart city grid that balances the physics of renewable energy with environmental conservation and urban efficiency?

Essential Questions

Supporting questions that break down major concepts.
  • How do the laws of physics govern the generation, transmission, and storage of electricity in a renewable-only system?
  • How can we use mathematical modeling and coding to balance energy supply and demand in real-time?
  • In what ways do various renewable energy sources (wind, solar, hydro) impact local ecosystems, and how can we design to minimize these biological disruptions?
  • How does the layout and aesthetic design of a city influence its overall energy efficiency and sustainability?
  • What role does automation and algorithmic thinking play in managing a grid that relies on intermittent natural resources?
  • How do we measure the "success" of a green energy grid beyond just power output (e.g., cost, environmental impact, reliability)?

Standards & Learning Goals

Learning Goals

By the end of this project, students will be able to:
  • Analyze and explain the transformation of energy from natural sources (solar, wind, hydro) into electrical energy using the laws of physics.
  • Design and implement a coded algorithm or simulation that dynamically balances energy supply and demand within a virtual city grid.
  • Evaluate the ecological trade-offs of different renewable energy technologies and propose design solutions that minimize disruption to local biodiversity.
  • Apply mathematical modeling to calculate energy efficiency, storage requirements, and cost-effectiveness of a multi-source renewable grid.
  • Create a sustainable urban plan that integrates aesthetic design with functional energy efficiency to maximize the utility of a smart city.
  • Demonstrate systems thinking by managing the interplay between intermittent energy resources and consistent urban power needs.

Next Generation Science Standards (NGSS)

MS-ESS3-3
Primary
Apply scientific principles to design a method for monitoring and minimizing a human impact on the environment.Reason: The project directly requires students to design a grid that balances energy needs with environmental conservation and ecosystem protection.
MS-PS3-5
Primary
Construct, use, and present arguments to support the claim that when the kinetic energy of an object changes, energy is transferred to or from the object.Reason: Students must understand how the kinetic energy from wind or water is transferred and converted into electrical energy for the grid.
MS-ETS1-4
Primary
Develop a model to generate data for iterative testing and modification of a proposed object, tool, or process such that an optimal design can be achieved.Reason: The 'Green STEAM Games' approach involves iterative design and testing of the grid simulation to achieve an optimized renewable system.

CSTA K-12 Computer Science Standards

2-AP-10
Primary
Use flowcharts and/or pseudocode to address complex problems as algorithms.Reason: The project requires coding a smart grid to manage energy distribution, necessitating the use of algorithmic thinking and logic.

Common Core State Standards - Mathematics

CCSS.MATH.CONTENT.7.EE.B.3
Secondary
Solve multi-step real-life and mathematical problems posed with positive and negative rational numbers in any form, using tools strategically.Reason: Students will use mathematical calculations to balance the supply (input) and demand (output) of the city's energy grid in real-time.

ISTE Standards for Students

ISTE 1.4 Innovative Designer
Supporting
Students use a variety of technologies within a design process to identify and solve problems by creating new, useful or imaginative solutions.Reason: This aligns with the INSPIRE framework of using technology and STEAM principles to gamify and solve environmental challenges.

Entry Events

Events that will be used to introduce the project to students

The 2075 Blackout Transmission

Students receive a 'glitched' video transmission from a 'Climate Architect' in the year 2075, who claims that their current power grid has failed, leaving the city in total darkness. The architect provides a 'Digital Time Capsule' containing corrupted code and physics data that students must repair and optimize to reboot the grid using only renewable sources.

The Aeolus Project Pitch

Students are invited to a 'Shark Tank' style pitch session where a fictional billionaire developer wants to build 'Aeolus,' the world’s first 100% green smart-city. However, the developer only provides the aesthetic vision; students must use physics and coding to prove that the developer's 'impossible' artistic designs can actually generate and distribute enough power to be viable.
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Portfolio Activities

Portfolio Activities

These activities progressively build towards your learning goals, with each submission contributing to the student's final portfolio.
Activity 1

The Energy Alchemist Lab: Harnessing the Forces

In this foundational activity, students act as Energy Analysts investigating the physics behind renewable sources. They will explore how kinetic energy from moving air or water is captured and transformed into electricity, calculating the efficiency of different turbine designs or solar placements. This ensures students understand the 'how' before they start building the 'what.'

Steps

Here is some basic scaffolding to help students complete the activity.
1. Research three renewable energy sources (wind, hydro, solar) and identify the specific physical forces at work (e.g., kinetic energy, electromagnetic radiation).
2. Use a simulation tool or physical model to measure energy output based on different variables (e.g., wind speed, water flow rate, angle of the sun).
3. Create an annotated energy transfer diagram showing the journey from the natural source to the city's power lines.
4. Write a brief 'Physics Pitch' arguing which source is most reliable for a city based on the data gathered.

Final Product

What students will submit as the final product of the activityAn 'Energy Transformation Lab Report' containing diagrams of energy flow and a written argument explaining the most efficient method for energy transfer in their specific city climate.

Alignment

How this activity aligns with the learning objectives & standardsThis activity aligns with NGSS MS-PS3-5 by requiring students to construct arguments based on data about how kinetic energy (from wind/water) is transferred and converted into electrical energy.
Activity 2

Guardian of the Wild Grid: Ecological Impact Mapping

Students become Environmental Consultants tasked with evaluating the 'Digital Time Capsule' city map. They must identify local ecosystems—such as bird migration paths near wind farms or fish spawning grounds near hydro dams—and propose design modifications to protect biodiversity while still generating power.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Identify the diverse biomes present in the proposed city location (e.g., coastal, forest, plains).
2. Research the potential negative impacts of renewable infrastructure on these specific environments.
3. Propose 'Eco-Engineering' solutions, such as ultrasonic sensors for wind turbines or fish ladders for hydro-electric dams.
4. Plot the placement of energy sources on the map to minimize habitat fragmentation and environmental disturbance.

Final Product

What students will submit as the final product of the activityAn Interactive Ecological Impact Map that highlights 'Red Zones' (vulnerable habitats) and 'Green Zones' (optimized energy sites) with a list of mitigation strategies for each source.

Alignment

How this activity aligns with the learning objectives & standardsThis activity aligns with NGSS MS-ESS3-3 by having students design a method to monitor and minimize the human impact on the environment through strategic placement of energy infrastructure.
Activity 3

The Grid Logic Blueprint: Algorithmic Thinking

Before touching any actual code, students must design the 'Brain' of their smart grid. They will develop the logic for how the city handles energy fluctuations (e.g., what happens to the grid when the sun goes down, or when a storm increases wind power?). They will map out the decision-making process using algorithmic thinking.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Define the 'Variables' of the city: Peak energy hours (demand) and peak production hours (supply).
2. Identify potential 'Edge Cases,' such as a week without wind or an unexpected heatwave increasing air conditioning use.
3. Draft a logic sequence (pseudocode) that dictates when to store energy in batteries and when to draw from them.
4. Translate the pseudocode into a visual flowchart using standardized symbols (diamonds for decisions, rectangles for processes).

Final Product

What students will submit as the final product of the activityA comprehensive Smart Grid Logic Flowchart that outlines 'If/Then' scenarios for energy distribution, storage, and emergency shutdowns.

Alignment

How this activity aligns with the learning objectives & standardsThis activity aligns with CSTA 2-AP-10 by requiring students to use flowcharts and pseudocode to address the complex problem of grid management as an algorithm.
Activity 4

The Watts & Volts Ledger: Balancing the Power Budget

Students step into the role of Grid Accountants. They will receive a 'Daily Energy Load' spreadsheet representing a typical day in the city. Using mathematical modeling, they must calculate the total kilowatt-hours needed and balance that against the output of their designed energy sources, ensuring the city never hits a deficit.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Calculate the total energy demand of the city’s residential, commercial, and industrial sectors using provided data.
2. Apply 'Efficiency Coefficients' to renewable sources (e.g., a solar panel only works at 20% efficiency on a cloudy day).
3. Use positive and negative rational numbers to track the energy 'bank' (surplus vs. deficit).
4. Adjust the number of energy generators (turbines/panels) in the model until the supply consistently meets or exceeds demand.

Final Product

What students will submit as the final product of the activityA 'Watts & Volts Ledger' (spreadsheet or data table) that mathematically proves the grid's viability through various weather scenarios.

Alignment

How this activity aligns with the learning objectives & standardsThis activity aligns with CCSS.MATH.CONTENT.7.EE.B.3 by requiring students to solve multi-step problems with rational numbers to balance energy supply and demand.
Activity 5

The 2075 Reboot: Optimized Grid Simulation

For the grand finale, students synthesize their physics, math, and logic into a 'Live Grid Simulation.' Using a coding platform (like Scratch, Python, or a specialized simulator) or a physical gamified model, they will attempt to 'Reboot the Grid.' They must demonstrate that their city can survive a simulated 48-hour cycle of varying weather and demand.

Steps

Here is some basic scaffolding to help students complete the activity.
1. Integrate the logic flowchart into a functional simulation or game (using code or physical game mechanics).
2. Run 'Stress Tests' (simulated blackouts or storms) to see where the grid fails.
3. Analyze the failure data and go back to previous steps (math or logic) to make iterative improvements.
4. Present the final optimized grid to the 'Climate Architect' (teacher/peers), proving the 2075 blackout can be prevented.

Final Product

What students will submit as the final product of the activityA functional 'Renewable City Simulation' (digital or physical) accompanied by a 'Refined Design Pitch' that explains the iterations made during testing.

Alignment

How this activity aligns with the learning objectives & standardsThis activity aligns with NGSS MS-ETS1-4 (iterative testing) and ISTE 1.4 (Innovative Designer) by having students build, test, and refine a simulation to achieve an optimal design.
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Rubric & Reflection

Portfolio Rubric

Grading criteria for assessing the overall project portfolio

Watts Next? The Renewable Grid Comprehensive Assessment Rubric

Category 1

Physics and Energy Dynamics

Assessment of the scientific principles governing renewable energy generation and the transfer of kinetic energy (MS-PS3-5).
Criterion 1

Energy Transformation & Physics Analysis

Evaluates the student's ability to explain the transfer of kinetic and electromagnetic energy into electrical power and the accuracy of their annotated energy flow diagrams.

Exemplary
4 Points

Demonstrates a sophisticated understanding of physics; energy transfer diagrams are exceptionally detailed, showing specific mechanical or chemical interactions. The argument for source reliability is backed by nuanced data and physics-based evidence.

Proficient
3 Points

Demonstrates a thorough understanding of energy transfer; diagrams accurately show the journey from source to grid. The argument for source reliability is clear and supported by experimental data.

Developing
2 Points

Shows emerging understanding of energy transformation; diagrams are present but may lack detail or contain minor inaccuracies in the flow of energy. The argument for reliability is basic or partially supported.

Beginning
1 Points

Shows initial understanding; energy diagrams are incomplete or reflect significant misconceptions about how kinetic or solar energy is converted to electricity. Argument lacks evidence.

Category 2

Environmental Stewardship

Assessment of the ability to design methods for monitoring and minimizing human impact on the environment (MS-ESS3-3).
Criterion 1

Ecological Impact Mapping & Mitigation

Evaluates the identification of ecological 'Red Zones' and the creativity/viability of 'Eco-Engineering' solutions to minimize human impact on local biomes.

Exemplary
4 Points

Mapping is exceptionally precise, identifying subtle ecological risks. Mitigation strategies (e.g., fish ladders, ultrasonic sensors) are highly innovative, research-based, and integrate seamlessly into the grid design.

Proficient
3 Points

Accurately identifies major ecological impacts for each energy source. Proposes effective and appropriate mitigation strategies that clearly reduce environmental disturbance.

Developing
2 Points

Identifies some ecological impacts but may miss key biological disruptions. Mitigation strategies are generic or inconsistently applied to the specific city biome.

Beginning
1 Points

Identifies few or no ecological impacts. Strategies to minimize human impact are missing, unrealistic, or do not address the specific renewable technology used.

Category 3

Computational Thinking

Assessment of computational thinking and the use of flowcharts/pseudocode to solve complex problems (CSTA 2-AP-10).
Criterion 1

Algorithmic Logic & Flowcharting

Evaluates the logic and structure of the smart grid's decision-making process, including 'If/Then' scenarios and handling of intermittent energy sources.

Exemplary
4 Points

Flowchart demonstrates sophisticated algorithmic thinking, successfully accounting for complex 'edge cases' and multi-step logic. The pseudocode is highly organized and ready for implementation.

Proficient
3 Points

Flowchart uses standardized symbols correctly to outline a logical sequence for energy distribution and storage. Correctly identifies major energy fluctuations (supply vs. demand).

Developing
2 Points

Flowchart shows basic logic but may contain gaps in the sequence or fail to address critical 'if/then' scenarios like battery depletion. Logic is partially functional.

Beginning
1 Points

Logic sequence is disjointed or missing key steps. Flowchart does not accurately represent a functional decision-making process for a grid.

Category 4

Mathematical Modeling

Assessment of mathematical problem-solving using rational numbers to balance real-world supply and demand (CCSS.MATH.CONTENT.7.EE.B.3).
Criterion 1

Quantitative Energy Modeling

Evaluates the accuracy of multi-step calculations involving rational numbers to balance energy supply, demand, and storage efficiency.

Exemplary
4 Points

Ledger is error-free and demonstrates an advanced grasp of rational numbers. Calculations include sophisticated efficiency coefficients and provide a clear mathematical proof of grid stability under extreme conditions.

Proficient
3 Points

Successfully uses positive and negative rational numbers to balance the energy budget. Most calculations are accurate and supply consistently meets or exceeds demand in the model.

Developing
2 Points

Demonstrates basic use of rational numbers to track energy, but calculations may contain errors that lead to energy deficits or unrealistic surpluses. Modeling is partially complete.

Beginning
1 Points

Calculations are incomplete or contain significant errors. Fails to demonstrate a mathematical balance between energy production and urban consumption.

Category 5

Systems Engineering & Integration

Assessment of the ability to develop models for iterative testing and modification to achieve an optimal design (MS-ETS1-4).
Criterion 1

Iterative Simulation & Refinement

Evaluates the iterative process of testing the grid simulation, analyzing failure data, and refining the design to achieve an optimal solution.

Exemplary
4 Points

Simulation is highly functional and resilient. Design pitch provides deep insight into the iterative process, showing how failure data directly informed sophisticated improvements in the final grid.

Proficient
3 Points

Successfully reboots the grid in the simulation. Provides evidence of at least one significant design iteration based on testing data to achieve an optimal design.

Developing
2 Points

Simulation runs but fails under stress tests (storms/blackouts). Shows limited evidence of using data to modify the design; iterations are superficial.

Beginning
1 Points

Simulation is non-functional or does not reflect the physics/math/logic established in previous steps. No evidence of an iterative design process.

Reflection Prompts

End-of-project reflection questions to get students to think about their learning
Question 1

On a scale of 1-5, how confident do you now feel in your ability to integrate physics, mathematics, and coding to solve complex environmental challenges?

Scale
Required
Question 2

Reflecting on your 'Energy Alchemist Lab,' identify one specific transformation of energy (e.g., kinetic to electrical) that occurred in your grid. What was the biggest physical factor that limited the efficiency of this transformation?

Text
Required
Question 3

During the '2075 Reboot' simulation, what was the most frequent reason your team had to go back and iterate on your design?

Multiple choice
Required
Options
The mathematical calculations for energy demand were inaccurate.
The coding logic (If/Then statements) failed during a stress test.
The environmental impact on local biodiversity was too high.
The intermittent nature of the renewable sources caused a blackout.
Question 4

In your role as a 'Guardian of the Wild Grid,' you had to balance power needs with ecosystem protection. Describe a specific trade-off you made. Why did you choose that particular solution, and what does it reveal about the responsibilities of a Green Technology Engineer?

Text
Required
Question 5

How did creating a logic flowchart change the way you thought about energy management? Explain how 'If/Then' thinking helped you prepare for 'Edge Cases' like storms or peak demand hours.

Text
Optional