Offshore Wind Energy Optimization Task

NGSS Performance Expectations: HS-ETS1-3, HS-PS3-3 SEPs: Constructing Explanations and Designing Solutions DCIs: ETS1.B: Developing Possible Solutions, PS3.A: Definitions of Energy, PS3.B: Conservation of Energy and Energy Transfer CCCs: Influence of Science, Engineering, and Technology on Society and the Natural World, Energy and Matter

Simulation Link: Offshore Wind Energy Optimization Simulation

Scenario

The State of Connecticut is planning a major offshore wind energy project in Long Island Sound near New London. You are an engineering consultant hired to design the optimal wind farm configuration. Your goal is to maximize the energy output to power homes while strictly balancing complex, competing real-world constraints:

1. Energy Conversion: Maximizing the number of megawatts generated by converting kinetic wind energy into electrical energy.
2. Economic Constraints: The project has a firm budget. Adding turbines or increasing their size costs money.
3. Social & Cultural Impacts: Large turbines located too close to the coast disrupt the visual aesthetics for residents and tourism.
4. Environmental Impacts: The area is a key migratory path for seabirds. High turbine densities pose significant collision risks.
5. Commercial Impacts: The Sound contains active shipping lanes. Turbines cannot block these routes.

Part 1: Initial Design and Trade-offs (HS-PS3-3)

1. Use the simulation to design your initial wind farm. Adjust the Number of Turbines, Distance from Shore, and Turbine Size.
2. Identify the forms of energy that are being converted in your design (from the wind source to the electrical output). What scientific principles govern this conversion?
3. What happens when you maximize the Number of Turbines and Turbine Size without considering other factors? Describe the energy output and identify which constraints (budget, environmental, social) are violated.
4. Adjust your design to keep the Total Cost under $1.5 Billion. What trade-offs did you have to make regarding the energy output and device scale?

Part 2: Evaluating Solutions Against Constraints (HS-ETS1-3)

1. Using the simulation, develop three distinct design solutions, prioritizing a different constraint for each:
   • Solution A: Maximize Energy Output (Aim for >800 MW, regardless of other impacts).
   • Solution B: Minimize Environmental/Social Impact (Keep bird risk below 5% and visual impact below 10%, regardless of energy/cost).
   • Solution C: The Balanced Optimum (Your attempt at the best overall design).
2. Record the data for each solution: Energy Output (MW), Total Cost ($), Visual Impact (%), Bird Collision Risk (%), and Shipping Disruption (%).
3. Analyze the strengths and weaknesses of each solution. For example, why is Solution A likely unacceptable to the public or environmental groups? Why is Solution B likely unacceptable to the energy company?
4. Provide an evidence-based decision for why Solution C is the optimum design. Justify your choice by citing your simulated data and explaining how it successfully balances the prioritized criteria and trade-offs. What barriers (e.g., economic or cultural resistance) might still exist if you presented Solution C to the town council?