9/18/25 – Intro to environmental engineering

The Circular Economy: Rethinking Product Design for a Sustainable Future

Have you ever wondered what happens to your old smartphone when you upgrade to the latest model? Most products we use daily follow a linear path: extraction of raw materials, manufacturing, use, and disposal. But this “take, make, dispose” model faces serious limitations as resources become scarcer and waste accumulates. The circular economy offers an alternative approach, though it’s worth examining both its promise and its practical challenges.

Understanding the Circular Economy

The circular economy isn’t actually a new concept, despite how it’s often presented. Many traditional societies have long practiced circular principles out of necessity. What’s newer is applying these principles systematically to modern industrial design and manufacturing.

At its core, the circular economy aims to keep materials and products in use for as long as possible through strategies like designing for durability, enabling repair and reuse, and facilitating recycling. However, we should be skeptical of claims that waste can be completely “eliminated.” Even in the most efficient circular systems, some materials degrade with each cycle, and energy is always lost in the process due to basic laws of physics.

The Role of Product Design

Product design decisions fundamentally shape how circular a product can be. Designers influence material selection, assembly methods, and end-of-life possibilities. Circular design principles include creating durable products that resist wear and tear, developing modular items with easily replaceable parts, and selecting materials that can be effectively recycled or safely biodegrade.

Consider smartphones as an example. While some companies now offer devices with replaceable batteries and repairable components, many flagship phones remain difficult to repair and use proprietary screws and adhesives that make disassembly challenging. This reveals a tension between circular design ideals and other priorities like waterproofing, aesthetics, and planned obsolescence strategies.

Real-World Applications and Limitations

Several industries are experimenting with circular approaches. In fashion, brands are creating garments from recycled materials and establishing take-back programs. However, textile recycling often produces lower-quality fibers, and many “recycled” garments still contain significant amounts of virgin materials. The furniture industry offers modular designs that can be reconfigured, though these products often cost more upfront and may not appeal to all consumers.

Electronics sustainability presents particular challenges. While some companies promote repairable devices, the rapid pace of technological advancement often makes older components obsolete before they wear out physically. This highlights a fundamental tension in circular economy thinking: how do we balance durability with innovation and consumer desire for new features?

Economic and Practical Considerations

One assumption that people have is that circular economy principles are automatically more economical. In many cases, designing for circularity increases upfront costs, and recycling processes can be energy-intensive and expensive. For circular approaches to succeed at scale, they often require policy support, changed consumer behaviors, and sometimes acceptance of trade-offs in convenience or performance.

Additionally, the circular economy still relies heavily on continued consumption. Simply making products more recyclable doesn’t address questions about whether we need all the products we currently make and buy. True sustainability might require not just circular design, but also reduced consumption overall.

Your Role in the Transition

As future consumers, workers, and citizens, high school students can contribute to circular economy goals by making informed purchasing decisions, supporting businesses with genuine circular practices, and understanding the complexities involved. This means looking beyond marketing claims to examine whether companies are truly implementing circular principles or simply using “green” language to sell conventional products.

The circular economy offers valuable principles for reducing waste and resource consumption, but it’s not a silver bullet for all environmental challenges. Success will require honest assessment of trade-offs, continued innovation, and recognition that truly sustainable systems may sometimes require us to consume less, not just consume differently.

10/21/25 – Green Gadgets in Environmental Engineering

Compostable Tech: The Next Generation of Gadgets

Ever stopped to consider what happens to your old phone case or broken earbuds after you are done with them? Most tech accessories, like countless other products, follow a linear “use and discard” path. In most cases, they end up in landfills for centuries. As our appetite for new devices grows, so does the mountain of e-waste. More than 50 million tons are tossed annually. As pressing as this problem sounds, new compostable materials are challenging our assumptions and changing what is possible for the next generation of electronics.

Why E-Waste Matters

The longevity of electronics is not just about how long you spend using them. It is about how long their materials persist. Plastics and metals in gadgets do not break down for hundreds, sometimes thousands of years. That cracked phone case you tossed could easily outlast your descendants. The scale and durability of tech waste raise urgent questions about sustainability in modern product design.

Material Innovations: Blurring the Line Between Gadget and Garden

Recent advances show how creative materials science can help bring “use, love, and safely disappear” closer to reality.

Bioplastics:
Made from plants such as corn and sugarcane, bioplastics are popping up in phone cases, packaging, and even earbuds. Their ability to break down faster than petroleum plastics offers an important step forward; but keep in mind, not all bioplastics are created equal.

Mushroom Mycelium:
Used in packaging, insulation, and even wearables, the root-like structure of fungi offers nutrients to the soil when composted, instead of adding pollution.

Paper-Based Circuit Boards:
Designers are experimenting with recycled paper or cardboard for circuit boards. This simplifies end-of-life recycling and reduces mining for metals, but it is not without performance trade-offs.

Real-World Examples: Progress and Prototypes

• Pela Phone Cases: Flax and plant-based cases you can compost at home.
• EcoBuds Earphones: Prototypes made from cornstarch plastics by student inventors.
• Mushroom Packaging: Companies like Dell and IKEA have piloted compostable packaging for electronics.
• Paper Speakers: Innovations in sound tech using recycled paper and cardboard.
• At a recent California science fair, a team unveiled a solar calculator with a wheat straw bioplastic shell. Others debuted computer mice fashioned from dried mushrooms and rice husks.

Barriers and Realities

Skepticism is useful here. Not every tech component can go in the compost bin; batteries, chips, and certain coatings still resist breakdown. Compostable materials may pose durability or cost challenges. Despite rapid innovation, genuine solutions are complex and demand continued refinement.

Your Role in Compostable Tech’s Future

Students and young innovators hold real power to shape greener solutions. Here are ways you can participate:

• Seek eco-friendly brands: Next time you buy tech gear, look for compostable or biodegradable labels.
• Experiment with DIY: Try creating gadgets from compostable materials for class projects or science fairs. Share your results to encourage others.
• Spread awareness: Use social media, blog posts, or school clubs to highlight sustainable tech and inspire peers.

Looking Forward

Every breakthrough brings new questions. As consumers, inventors, and citizens, your critical perspective matters. Examine claims, test ideas, and recognize that sustainability is a shared journey, not just a destination. What could you invent with mushrooms, plants, or recycled paper? Share your experiments and insights to help build a more circular and compostable future.

11/22/25 – Materials Science in Sustainable Design

Bioplastics: Designing the Future, One Plant at a Time

Ever stopped to consider whether your next water bottle could be made from corn? Most plastics, like countless other materials we use daily, follow a predictable path from petroleum extraction to centuries-long persistence in landfills. As global plastic production exceeds 400 million tons annually, with less than 10% effectively recycled, the environmental toll grows increasingly stark. Yet bioplastics—materials derived from plants rather than fossil fuels—are challenging our assumptions about what sustainable materials can achieve and where they fall short.

Why Traditional Plastics Persist

The durability that makes petroleum-based plastics useful also makes them problematic. These materials resist degradation for centuries, accumulating in ecosystems and food chains. The scale of plastic pollution raises fundamental questions about material choices in modern product design and whether plant-based alternatives offer genuine solutions or merely shift problems elsewhere.

Understanding Bioplastics: Categories and Capabilities

Bioplastics encompass a diverse range of materials with varying properties and end-of-life scenarios. Understanding these distinctions is critical for evaluating their actual environmental impact.

PLA (Polylactic Acid): Derived from corn or sugarcane fermentation, PLA dominates 3D printing, food packaging, and disposable utensils. However, it requires industrial composting facilities at 140°F+ to break down—conditions rarely found in home compost bins or natural environments.

PHA (Polyhydroxyalkanoates): Produced by bacteria consuming plant sugars, PHAs offer marine biodegradability and versatility in packaging and medical applications. Their high production costs and limited scale remain significant barriers.

Starch-Based Plastics: Often blended with traditional plastics for cost reduction, these materials may only partially biodegrade, leaving microplastic residues.

Current Applications: Progress and Limitations

Packaging Sector

• Major corporations like Coca-Cola and PepsiCo pilot plant-based bottles, though most contain only 30% bio-based content mixed with traditional PET.
• “Compostable” food containers proliferate at events, yet most require industrial facilities unavailable in many regions.
• Snack wrappers claiming biodegradability often need specific conditions rarely met in real-world disposal.

Fashion and Accessories

• Footwear experiments with bio-based soles show promise but struggle with durability requirements.
• Bioplastic buttons and frames appear in eco-conscious brands, though production volumes remain minimal.
• Performance gaps in strength and flexibility limit widespread adoption.

Technology Products

• Pela’s flax-based phone cases offer home compostability—if properly managed.
• Student-designed bioplastic electronics housings demonstrate innovation but face scalability challenges.
• Critical components like circuits and batteries remain incompatible with biodegradable materials.

Educational Materials

• PLA-based school supplies enter classrooms, though disposal infrastructure rarely exists in schools.
• 3D printing with PLA filament enables sustainable prototyping in STEM programs.

Critical Considerations: Examining the Trade-offs

The bioplastics narrative requires careful scrutiny. Consider these often-overlooked realities:

Agricultural Impact: Corn and sugarcane cultivation for plastics competes with food production, requires intensive farming practices, and may increase pesticide use. A shift to bioplastics at scale could strain agricultural systems already facing climate pressures.

Composting Infrastructure: Most bioplastics need industrial composting—facilities that exist in fewer than 200 U.S. cities. Materials labeled “compostable” often end up in landfills, where oxygen-poor conditions prevent proper breakdown.

Carbon Footprint Complexities: While plant-based materials sequester carbon during growth, processing, transportation, and agricultural inputs can offset these benefits. Lifecycle analyses show mixed results compared to efficient petroleum plastic recycling.

Consumer Confusion: Terms like “biodegradable,” “compostable,” and “bio-based” lack standardized definitions, leading to improper disposal and contamination of recycling streams.

Student Innovation: Real-World Experimentation

Recent student projects reveal both potential and limitations:

• High schoolers created cornstarch-based materials in chemistry labs, discovering brittleness issues within weeks.
• A Brown University capstone developed mushroom-based packaging, achieving strength but struggling with moisture resistance.
• Science fair entries using agricultural waste for bioplastics highlighted regional material availability challenges.

Practical Engagement Opportunities

Students can contribute meaningfully while maintaining realistic expectations:

• Investigate locally: Research whether your community has industrial composting facilities before choosing “compostable” products.
• Experiment critically: Test homemade bioplastics for durability, water resistance, and actual decomposition rates. Document failures alongside successes.
• Question claims: Analyze product labels and company sustainability reports for specific disposal requirements and bio-based content percentages.
• Consider systems: Explore how bioplastics fit within circular economy principles—or where they fall short.

Looking Forward

Bioplastics don’t represent a problem but rather a complex tool requiring thoughtful application. Their development highlights crucial questions: Can agricultural systems sustainably support material production? Will infrastructure evolve to handle these materials properly? How do we balance immediate environmental needs with long-term systemic changes?

Critical evaluation, continued innovation, and honest assessment of limitations will determine whether plant-based plastics become genuine solutions or well-intentioned distractions from deeper sustainability challenges.

What aspects of the bioplastics promise deserve skepticism, and where might strategic application make a real difference?

12/21/25 – Are AI Data Centers Hurting the Planet? Here’s How Engineers Are Fighting Back

Have you ever used ChatGPT, gotten recommendations on Netflix, or played a game with super-smart bots? All of these work thanks to artificial intelligence (AI), but did you know the powerful computers behind AI can have a big impact on the environment?

What’s an AI Data Center?

Imagine a giant building packed with rows and rows of computers, all working together to process data from across the world. That’s a data center. When AI is involved, these computers work inefficiently, which means they use a lot of electricity.

Four Major Environmental Impacts

1. Huge Energy Use:
   Training advanced AI models is similar to running thousands of computers all day and night. This draws as much power as a small city in some cases.
2. Carbon Emissions:
   If the electricity comes from fossil fuels (like coal or gas), every search, chat, or suggestion adds greenhouse gases to the atmosphere.
3. Water Waste:
   Data centers get hot, so they use lots of water for cooling; sometimes millions of gallons per year.
4. E-Waste:
   As AI needs faster and better hardware, old computer parts get tossed, adding to electronic waste.

Engineers to the Rescue: Sustainable Solutions

Here’s how clever engineering is making things better:

• Smarter Cooling:
  Switching from traditional air conditioners to liquid cooling, or even reusing waste heat to warm offices or greenhouses.
• Green Energy:
  Some data centers are powered by solar or wind, or buy clean energy from nearby renewable power plants.
• AI for Efficiency:
  Ironically, AI can reduce its own impact by optimizing how servers run, using less power and water.
• Creative Recycling:
  Designing equipment that’s easier to upgrade or recycle, and reusing old parts instead of sending them straight to the landfill.
• Better Locations:
  Building in cooler places (like the far north) cuts down on extra cooling, or placing centers near renewable power sources.

1/20/26 – Built to break? Planned obsolescence and the environment.

Have you ever had a phone that still works, but suddenly feels slow, won’t update, or has a battery that barely survives the school day? That frustrating moment connects to a big design and environmental issue called planned obsolescence.

 

Planned obsolescence is when products are designed (directly or indirectly) to have ashorter useful life, pushing people to replace them sooner. Sometimes it’s intentional; sometimes it’s a side effect of optimizing for low cost, extra-thin designs, or rapid release cycles instead of long-term repair and upgrades. Either way, the result is the same: more stuff gets replaced before it needs to.

 

What “planned obsolescence” looks like in real life

Planned obsolescence isn’t always a secret “expiration date.” It often shows up as everyday design choices like:

• Batteries glued in so replacements are difficult or expensive
• Proprietary screws or sealed cases that discourage repairs
• Software updates that stop supporting older hardware
• Parts that aren’t sold to consumers or independent repair shops
• Fragile components (hinges, ports, charging cables) that fail early
• No modularity, so one broken piece means replacing the whole device

 

Even if a product could last longer, the design can make repair, maintenance, or upgrading unrealistic. And when fixing is too hard or too costly, replacement becomes the default.

 

Why this matters for the environment

When products are replaced early, the impact isn’t just the trash can, it’s the entire lifecycle.

 

1) More e-waste (and more toxic risks)

Electronics contain metals and chemicals that can be harmful if dumped or processed unsafely. Even with recycling, many devices never make it to proper collection systems. And even when they do, recycling can be inefficient if a product is hard to take apart.

2) More mining and material extraction

Making new devices requires raw materials like copper, lithium, cobalt, and rare earth elements. Mining and refining can damage ecosystems, use lots of water, and create pollution. Shorter product lifetimes increase demand for these materials, which increases pressure on the places where they’re extracted.

3) More energy use and emissions

A large portion of a product’s carbon footprint often comes from manufacturing, not just using it. Think about it: assembling microchips, producing screens, shipping parts across the world, those steps take energy. Replacing a device sooner means repeating that manufacturing footprint more often.

4) More pressure on landfills and recycling systems

Recycling helps, but it’s not a magic reset. Many products aren’t designed for easy disassembly, which makes high-quality recycling harder and less profitable. That can lead to lower recovery of valuable materials and more waste overall.

 

How engineering can tackle it (without killing innovation)

Engineers can design products that stay useful longer while still improving over time. Here are practical strategies:

 

Design for repair

• Use standard screws instead of permanent glue
• Make batteries replaceable (or at least accessible)
• Provide repair manuals, part numbers, and diagnostic tools
• Design common-failure parts (battery, screen, port) so they’re easy to swap

Design for durability

• Reinforce high-stress areas (hinges, ports, buttons)
• Improve drop resistance and wear testing
• Increase water/dust resistance without sealing everything permanently

Design for modular upgrades

• Allow certain parts (battery, storage, camera module) to be upgraded
• Use standardized connectors when possible

Design for software longevity

• Longer security update support
• Efficient software that doesn’t demand constant hardware upgrades
• Backward compatibility when it doesn’t create safety risks

Design for end-of-life recovery

• Label materials clearly
• Make disassembly straightforward
• Avoid mixing materials that are difficult to separate

 

Product design and sustainability connection: This is an optimization problem. Balancing cost, performance, aesthetics, reliability, repairability, and sustainability.

 

How policy can help (and why it matters)

Policy changes the rules of the game so longer-lasting design becomes the easier business choice.

 

Right-to-repair laws

These require access to:

• spare parts
• repair information
• tools and diagnostics
  This helps consumers and independent repair shops keep products in use longer.

 

Durability and repairability standards

Governments can set minimum expectations, such as:

• battery longevity
• availability of spare parts for a number of years
• repairability score labels (so shoppers can compare)

 

Extended Producer Responsibility (EPR)

EPR makes manufacturers responsible for collecting and managing products at end of life. If companies help pay for waste, they have incentives to design products that last longer and are easier to repair and recycle.

 

Warranty and support requirements

Longer warranties can push better build quality. Policies can also encourage reasonable software/security support periods so products don’t become unsafe or unusable early.

 

Call to action

Next time you buy something, look for clues of longevity: repair guides, replaceable parts, long software support, and brands that sell spare parts. And if you’re building a STEM project, challenge yourself to design it so it can be fixed, upgraded, and reused, not tossed.

2/22/26 – Can AI Run on Clean Power? Data Centers, Energy, and Nuclear

Imagine asking an AI to help with homework, generate a video, or translate a whole book, and then realizing that request depends on a building full of computers that must run all day and all night and stay cool every second. As AI gets more popular, the world is building more data centers, meaning facilities packed with servers. That growth raises a big question. Where will all the electricity come from, and how can we power AI without heating up the planet?

This is where nuclear energy enters the conversation. It can produce large amounts of low carbon electricity, but it also comes with safety, waste, and cost concerns. Balancing these tradeoffs is a real environmental engineering challenge.

 

Why AI data centers demand so much energy

AI is not magic in the cloud. It runs on physical hardware that needs:

1. Electricity for computing, meaning processors training and running models
2. Electricity for cooling, meaning moving heat away from tightly packed chips
3. Reliable power, because downtime can be extremely expensive

 

Two things push demand upward.

 

First, training big models can require huge clusters of specialized chips running for days or weeks. Second, serving millions of users means AI must answer quickly, which requires lots of servers ready at all times.

 

Bottom line. As AI use skyrockets, electricity demand rises not only from computation, but also from cooling and reliability requirements.

 

Why this is an environmental engineering challenge

Environmental engineering is about designing systems that protect human health and the environment while meeting society’s needs. Powering AI responsibly forces engineers to juggle:

 

Climate impacts

If a data center uses fossil fueled electricity, emissions can rise quickly.

Water impacts

Many power plants and some cooling systems use large amounts of water. In water stressed regions, this can create conflict between technology growth and local needs.

Land and ecosystem impacts

New power generation, transmission lines, and large facilities take space and can affect habitats.

Community impacts

Where you build matters. Water use, traffic, jobs, and risk perception all affect local communities.

 

Why nuclear energy is being considered

Nuclear power is attractive for data centers because it can provide:

1. High, steady output that does not depend on weather
2. Low carbon electricity during operation
3. A relatively small land footprint for the amount of power produced

 

In a world where AI demand is rising fast, nuclear can look like a way to deliver lots of power without lots of carbon dioxide.

 

Pros and cons of using nuclear for AI data centers

 

Pros

1. Low carbon electricity during operation, which helps reduce climate impact
2. Reliable around the clock power that matches data center needs
3. Energy dense fuel, meaning less fuel volume for lots of electricity
4. Grid stability support, which can complement variable wind and solar

Cons

1. Radioactive waste that requires secure long term management
2. High upfront cost and long build timelines for many projects
3. Safety risks that, even if rare, must be planned for seriously
4. Cooling water needs that can be significant depending on design and location
5. Public trust and siting challenges that can slow decisions

 

A key nuance is that environmental impact is not only carbon. It includes mining and fuel processing, plant construction, waste storage, plant retirement, and local water and heat effects.

 

How can we do this safely while meeting rising AI energy demand?

A realistic path is usually not nuclear alone or renewables alone. It is a systems approach.

 

1. Use efficiency first engineering

The cleanest energy is the energy you do not need. Data centers can reduce impact through more efficient chips and model designs, smarter scheduling so heavy tasks run when cleaner power is available, and improved cooling such as liquid cooling and heat reuse.

2. Combine nuclear with renewables and storage

A grid that includes nuclear plus renewables can reduce emissions while improving reliability. Storage can help smooth short term fluctuations in demand and supply.

3. Design for water smart cooling

Future facilities should consider cooling options that reduce water withdrawals, choose locations where water impacts are manageable, and report water use and heat discharge transparently.

4. Strengthen safety culture and oversight

Safe nuclear operation depends on conservative engineering, strong containment, emergency preparedness, cybersecurity for critical infrastructure, and independent regulation with continuous monitoring.

5. Plan transmission and community impacts early

Even clean power fails if it cannot reach the data center. Engineers must plan transmission upgrades, community engagement, and environmental review processes that are rigorous and transparent.

 

What future Green AI engineers should consider

If you want to be part of the solution, think like a full lifecycle engineer:

1. Track carbon, water, and materials, not just one metric
2. Remember location matters, including grid mix, water scarcity, heat, and community context
3. Balance reliability and sustainability since uptime requirements drive design
4. Improve model efficiency because better algorithms can cut energy use a lot
5. Treat waste heat as a resource for buildings or nearby industry when possible
6. Take safety and ethics seriously because energy choices affect real people