Ethan Clarke
Plastic waste is a pressing global issue, with 360 million tonnes of plastic produced in 2018 alone. Sorting plastic from other rubbish is a crucial step in the recycling process, which involves a combination of human and technological efforts. Sorting facilities employ various techniques, including manual picking, mechanical sorting, and innovative technologies like near-infrared spectroscopy and robotic sorting. The accuracy of sorting is essential to ensure plastics are recycled effectively, giving them a second life.
| Characteristics | Values |
|---|---|
| Plastic Sorting Techniques | Manual picking, Mechanical sorting, Robotic sorting, Artificial intelligence |
| Plastic Types | Polyethylene (PE), PET, HDPE, LDPE, LLDPE, PP, PVC, PS |
| Plastic Sorting Methods | Density, Color, NIR (near-infrared spectroscopy), Resin type |
| Plastic Sorting Equipment | Conveyor belts, Optical scanners, Sensors, Pneumatic systems, Trommels |
| Plastic Sorting Facilities | Material Recovery Facilities (MRF), Plastic Recovery Facilities (PRF) |
| Plastic Sorting Challenges | Accuracy, Mixed plastic wastes, Non-recyclable plastics (e.g. PVC), Contamination |
| Plastic Sorting Benefits | Environmental impact reduction, Eco-conscious products, Resource conservation |
| Plastic Sorting Alternatives | Burning, Burying, Incineration, Landfills |
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What You'll Learn
Manual picking of plastic from rubbish
Manual picking of plastic waste is a crucial step in the battle against plastic pollution. While it can often feel like a lonely endeavour, individuals like Andrew Mayers, who picks up plastic waste to save it from landfills, and Afroz Shah, who initiated the world's largest beach cleanup project, demonstrate the impact that manual picking can have.
When engaging in manual picking of plastic from rubbish, it is important to prioritize personal safety and follow certain guidelines. This includes wearing gloves, preferably disposable nitrile gloves, to protect your skin from any contaminants in the waste. It is also recommended to use trash pickers or grabber tools to reduce direct contact with the trash. Checking the weather and planning accordingly, staying hydrated, and being mindful of boundaries to avoid trespassing are other important considerations.
Manual picking of plastic waste can take various forms, from individual efforts to community initiatives and organized clean-up campaigns. Some people choose to pick up plastic waste during their daily commutes or strolls, making a contribution to the environment with minimal extra effort. Others participate in organized events, such as the Great Plastic Pick Up in Britain, where thousands of volunteers, including celebrities and politicians, came together to clean streets, green spaces, and beaches.
While manual picking of plastic waste is valuable, it is important to recognize that it addresses the symptoms rather than the root cause of the problem. To truly combat plastic pollution, a systemic approach is necessary, involving changes in consumer behaviour, corporate responsibility, and government policies. However, public engagement in manual picking can play a critical role in raising awareness, educating the public, and putting pressure on governments and businesses to implement more effective solutions.
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Automated sorting systems
Automated plastic sorting systems are an essential part of the recycling process, ensuring that plastics are separated into homogeneous fractions by colour and type. These systems can increase the profitability of recycling by producing high-quality outputs that can be used as alternatives to virgin plastic.
Sesotec, a leading specialist in industrial plastics-sorting machines, designs systems that can differentiate between materials using sensor technology. This technology can reliably handle complex sorting tasks, such as differentiating between various types of plastic and removing contaminants like metals, wood, and extraneous plastics. Sesotec systems can also be customised to handle larger objects and perform intricate sorting, such as plastic regrind and PET flakes. The company's systems are designed for precision, speed, and efficiency, with a modular design that allows for customisation based on specific sorting needs.
TOMRA, another global leader in sensor-based sorting systems, offers AI-powered sorting systems with deep learning technology. Their systems can achieve over 95% purity levels in the recovery of polypropylene (PP) and polyethylene (PE) without manual sorting. TOMRA's technology enables operators to run multiple material streams on one line and effectively sort food-grade plastic packaging. Additionally, their Deep Learning technologies help purify post-consumer polyethylene (PE) by removing contaminants like silicone cartridges, which were previously considered difficult to sort.
Robotic sorting is another emerging technology that combines artificial intelligence with cameras and robotic arms to sort plastics from conveyor belts. This technology promises more accurate sorting and higher production rates, even when treating different formats.
Overall, automated plastic sorting systems play a crucial role in the recycling process, ensuring purity, efficiency, and the production of high-quality recycled materials. These systems contribute to a more sustainable future by reducing the consumption of finite resources and the amount of plastic waste in the environment.
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Artificial intelligence
Plastic recycling is crucial for protecting the environment and promoting sustainability. However, the process of sorting plastic waste is challenging due to the variety of plastic types, colours, shapes, and sizes. This complexity has led to the development and utilisation of artificial intelligence (AI) and robotic systems to enhance sorting efficiency.
AI-based sorting solutions leverage advanced technologies such as spectroscopy, machine vision, and deep learning algorithms. Spectroscopy, for instance, is used to identify different types of plastics based on their unique characteristics. Machine vision, on the other hand, employs cameras and high-tech computer systems trained to recognise specific objects, enabling robots to accurately identify and sort plastic items.
Several companies are at the forefront of AI-powered waste sorting. TOMRA, a leader in sensor-based sorting technology, introduced an AI-based deep-learning solution in 2019 to separate silicone cartridges from PE streams and later for wood sorting. By early 2024, TOMRA's GAINext technology had advanced to separate food and non-food plastics, playing a crucial role in identifying food-grade PP packaging.
NEXTLOOPP, a multi-participant project, also utilises cutting-edge AI technology to improve the efficiency of critical recycling processes. Their innovative fluorescent marker technology aims to differentiate food-grade plastic packaging from the waste stream. Additionally, AMP Robotics Corp. ("AMP"), a prominent provider of AI-powered waste sorting, employs its technology to extract mixed recyclables and organics, contributing to the creation of a circular economy for plastics.
The use of AI in plastic sorting offers significant advantages. It improves sorting accuracy, reducing the amount of poorly sorted plastics that result in higher reprocessing costs. AI-based systems can work alongside humans, minimising the need for manual sorting, which is less efficient and prone to errors. Furthermore, AI technology can continuously learn and adapt, making the sorting process more effective over time and contributing to the overall goal of enhancing recycling rates and promoting environmental sustainability.
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Mechanical recycling
Once plastic waste arrives at a recycling plant, it is sorted by colour or thickness. The plastic is then shredded into smaller pieces and washed to remove dust, dirt, food, drink, or labels. The clean plastic is sorted again and controlled before being sent for extrusion, where it is converted into homogeneous pellets. These pellets are then used to manufacture new products.
The process of mechanical recycling can also be supported by digitalisation and artificial intelligence. For instance, deep learning algorithms can be used to identify and separate different types of plastic, improving the accuracy and efficiency of the sorting process.
However, mechanical recycling is not without its challenges. The volume of plastic recycling needs to increase dramatically to achieve national targets, and stringent standards require plastics intended for food contact to be separated from the rest, further complicating the process.
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Chemical recycling
Plastic waste has become a major global challenge, with around 250 million metric tons of plastic waste generated each year. Only about 20% of this plastic is recycled, with a larger fraction being incinerated (25%) and the bulk (60%) ending up in the environment, in landfills, or as litter.
One way to tackle this issue is through chemical recycling, which breaks down plastic waste into its constituent molecular parts. This process directly affects the chemistry of the polymers, allowing them to be reconstituted into their original raw materials and reconverted into new polymers or a petrochemical feedstock. Chemical recycling covers a range of processes and technologies, including dissolution, depolymerization, and conversion. Dissolution removes additives from polymers by dissolving them in solvents, allowing them to be reformulated into new recycled plastics. Depolymerization uses chemistry, solvents, and heat to turn polymers into smaller molecules (monomers) that can be fed back into the plastic production process as secondary raw materials. Conversion, on the other hand, uses chemistry, heat, or catalytic processes to break down plastic waste into a gaseous or liquid feedstock. Pyrolysis, for example, heats plastic waste to temperatures over 400 °C under low-oxygen conditions, breaking down long polymer chains into basic hydrocarbon products like gas, wax, diesel, and naphtha. These products can then be used as fuel or fed into petrochemical plants to create new polymers.
While chemical recycling offers new possibilities for recycling plastic waste, it has also faced criticism from environmental advocates. In the US, for example, legislators in 18 states have passed laws encouraging chemical recycling, but advocates argue that these laws promote processes that are energy-intensive, polluting, and amount to incineration rather than true recycling. They also criticize the focus on chemical recycling as a technical fix that allows companies to continue producing and profiting from plastic without addressing the root cause of plastic pollution.
To enhance plastic recycling, a combination of approaches is necessary. Digitalisation, artificial intelligence, and robotic sorting technologies can aid in the accurate sorting of plastics. Additionally, policies that reduce the use of single-use plastics and promote the use of recycled plastics in various industries are crucial. By addressing plastic waste through a combination of technological advancements, policy changes, and sustainable practices, we can move towards a more circular economy for plastics.
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Frequently asked questions
Plastic is sorted from other rubbish at a Material Recovery Facility (MRF). Sorting technologies vary by facility, but the process typically involves conveyor belts, manual picking, and mechanical sorting.
Manual picking involves sorting rubbish by hand. Large items, non-recyclables, and obvious contaminants are removed during this process.
Mechanical sorting involves the use of machines and technology to sort plastic from other rubbish. This includes the use of automated sorting systems equipped with sensors and optical scanners that can identify and categorize plastic items based on characteristics like density and color.
One challenge is separating the hundreds of varieties of plastic into different categories for recycling. Another challenge is managing the large volume of waste that needs to be sorted, which can lead to blockages and slowdowns in the process.
