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The research group Water Engineering Innovation Photo: Aarhus University
The research group Water Engineering Innovation, led by Associate Professor Zongsu Wei, works to develop water purification technologies, especially in connection with PFAS. The group collaborates in this project with the research group Robotics from the Department of Mechanical and Production Engineering.
24.01.2024

Artificial intelligence to help remove PFAS

A new research project links some of Denmark's leading researchers in PFAS remediation with artificial intelligence. The goal is to develop and optimise a new form of wastewater and drinking water treatment technology using artificial intelligence for zero-pollution goals.

In a new research and development project, researchers from Aarhus University aim to develop a new technology that can collect and break down perpetual chemicals (PFAS) in one step in a purification process that can be connected directly to drinking water wells and treatment plants.

The project has received funding from the Villum Foundation of DKK 3 million, and it will combine newly developed treatment technology from some of Denmark's leading PFAS remediation researchers with artificial intelligence that can ensure optimal remediation.

A new research project links some of Denmark's leading researchers in PFAS remediation with artificial intelligence. The goal is to develop and optimise a new form of wastewater and drinking water treatment technology using artificial intelligence for zero-pollution goals.

In a new research and development project, researchers from Aarhus University aim to develop a new technology that can collect and break down perpetual chemicals (PFAS) in one step in a purification process that can be connected directly to drinking water wells and treatment plants.

The project has received funding from the Villum Foundation of DKK 3 million, and it will combine newly developed treatment technology from some of Denmark's leading PFAS remediation researchers with artificial intelligence that can ensure optimal remediation.

"In the project, we will design, construct and test a new, automated degradation technology for continuous PFAS degradation. We’re also going to set up an open database to identify significant and limiting factors for degradation reactions with PFAS molecules in the reactor," says Associate Professor Xuping Zhang from the Department of Mechanical and Production Engineering at Aarhus University, who is co-heading the project in collaboration with Associate Professor Zongsu Wei from the Department of Biological and Chemical Engineering.

Ever since the 1940s, PFAS (per- and polyfluoroalkyl substances) have been used in a myriad of products, ranging from raincoats and building materials to furniture, fire extinguishers, solar panels, saucepans, packaging and paints.

However, PFAS have proven to have a number of harmful effects on humans and the environment, and unfortunately the substances are very difficult to break down in nature. As a result, the substances continuously accumulate in humans, animals, and elsewhere in nature.

In Denmark, PFAS have been found in drinking water wells, in surface foam on the sea, in the soil at sites for fire-fighting drills, and in many places elsewhere, for example in organic eggs. It is not possible to remove PFAS from everything, but work is underway to remove PFAS from the groundwater in drinking water wells that have been contaminated with the substances.

Currently, the most common method to filter drinking water for PFAS is via an active carbon filter, an ion-exchange filter, or by using a specially designed membrane. All of these possibilities filter PFAS from the water, but they do not destroy the PFAS. The filters are therefore all temporary, as they have to be sent for incineration to destroy the accumulated PFAS, or they end in landfills.

The project is called 'Machine Learning to Enhance PFAS Degradation in Flow Reactor', and it aims to design and develop an optimal and permanent solution for drinking water wells and treatment plants in Denmark that constantly captures and breaks down PFAS, while also monitoring itself.

"We need to be creative and think outside the box. I see many advantages in linking artificial intelligence with several different water treatment technologies, but integrating intelligence-based optimisation is no easy task. It requires strong synergy between machine learning and chemical engineering, but the perspectives are huge," says Associate Professor Zongsu Wei from the Department of Biological and Chemical Engineering at Aarhus University.

More information:
PFAS Aarhuis University
Source:

Aarhus University
Department of Biological and Chemical Engineering
Department of Mechanical and Production Engineering

22.01.2024

Fashion for Good addresses challenges of sorting for rewearable textiles

Fashion for Good's Sorting for Circularity framework expands to address the challenge of ensuring rewearable textiles remain in use as opposed to finding their way into global waste streams or landfills. This 18-month project tests automated sorting technologies using artificial intelligence and machine learning to optimise the sorting of rewearable garments and enable greater circularity.

This project will test automated sorting technologies using machine learning and artificial intelligence (AI) to collect product information — such as colour, style, garment type, and quality. This will enable sorters and brands to make better decisions and sort efficiently based on product data and criteria from local, European, and export resale market requirements, thus optimising the flow of textiles to achieve their highest value potential.

To ensure accuracy and representation in capturing data on the flow of textiles within the EU and export markets, this project will focus on specific geographical regions: Lithuania (Nordic/Baltic), the Netherlands (Western), Poland (Central-Eastern), and Spain (Southern Europe).

Fashion for Good's Sorting for Circularity framework expands to address the challenge of ensuring rewearable textiles remain in use as opposed to finding their way into global waste streams or landfills. This 18-month project tests automated sorting technologies using artificial intelligence and machine learning to optimise the sorting of rewearable garments and enable greater circularity.

This project will test automated sorting technologies using machine learning and artificial intelligence (AI) to collect product information — such as colour, style, garment type, and quality. This will enable sorters and brands to make better decisions and sort efficiently based on product data and criteria from local, European, and export resale market requirements, thus optimising the flow of textiles to achieve their highest value potential.

To ensure accuracy and representation in capturing data on the flow of textiles within the EU and export markets, this project will focus on specific geographical regions: Lithuania (Nordic/Baltic), the Netherlands (Western), Poland (Central-Eastern), and Spain (Southern Europe).

The findings will be shared in a report with a supporting business case and implementation roadmap to inform investment decisions in infrastructure, Circular Business Models (CBM) and repair centres.

The Rewear Project builds on Fashion for Good’s Sorting for Circularity framework initiated in 2021 and subsequently launched in Europe, India and the United States harmonising the collection, sorting and recycling industries in order to advance textile-to-textile recycling technologies and the resale industry.

It is funded by brand partners adidas, BESTSELLER, Bonprix, C&A, Inditex, Levi Strauss & Co., Otto Group, PVH Corp., and Zalando. Circle Economy Foundation leads the creation and implementation of the methodology, with support from Consumption Research Norway, Oslo Metropolitan University and Revaluate.

Source:

Fashion for Good 

ITM 2024 presenting motto: 'Discover the Future' Photo: ITM Exhibitions
27.09.2023

ITM 2024 presenting motto: 'Discover the Future'

ITM Exhibitions will open its doors to host "ITM 2024 International Textile Machinery Exhibition" from June 4-8, 2024. Preparations are in full swing for the organization, where textile technology leaders will bring the latest products together with their visitors for the first time.

The ITM team focused on advertising and promotional activities in order to host thousands of visitors and sector investors from all over the world at the ITM 2024 Exhibition, which halls were almost full due to intense participation demands. In this context; 'ITM 2024 Video', which tells the story of the increasing success of ITM exhibitions over the years and which is eagerly awaited by the whole sector, has recently been published. The video, which was published in Turkish and English on social media accounts such as YouTube, LinkedIn, Instagram, Twitter and Facebook, was viewed by more than 30 thousand people in total and received great appreciation from the viewers.

ITM Exhibitions will open its doors to host "ITM 2024 International Textile Machinery Exhibition" from June 4-8, 2024. Preparations are in full swing for the organization, where textile technology leaders will bring the latest products together with their visitors for the first time.

The ITM team focused on advertising and promotional activities in order to host thousands of visitors and sector investors from all over the world at the ITM 2024 Exhibition, which halls were almost full due to intense participation demands. In this context; 'ITM 2024 Video', which tells the story of the increasing success of ITM exhibitions over the years and which is eagerly awaited by the whole sector, has recently been published. The video, which was published in Turkish and English on social media accounts such as YouTube, LinkedIn, Instagram, Twitter and Facebook, was viewed by more than 30 thousand people in total and received great appreciation from the viewers.

“Discover the Future!” in the video prepared with the main theme “Discover innovations, technologies, the future...” and including clues about the ITM 2024 Exhibition, was revealed as follows:
The textile sector is among the souls of the economy with its production capacity, export volume, and contribution to employment. Many R&D centers around the world and in Turkey are breaking new ground by taking their work and innovations one step further every day. Textile technology leaders are developing technologies that consume less water and energy, are easy to use, are software and automation supported, keep up with trends and respect the environment while doing so. Industry stakeholders, especially textile manufacturers, are now curious about the answer to this question: 'What will be the future of the textile industry, which is digitalizing, complying with sustainability principles, and signing groundbreaking innovations? This question will be answered at ITM 2024, which will host the latest innovations, technologies, artificial intelligence-supported machines, software and design excellence devices in textile machinery.

Source:

ITM Exhibitions

06.06.2023

GOTS, European Space Agency and Marple: Remote monitoring in organic cotton certification

  • Project from the Global Organic Textile Standard, European Space Agency and Marple will use AI and satellite imagery to detect organic versus non-organic cotton fields
  • Innovative demonstrator project explores the potential of remote monitoring to strengthen integrity and development of organic cotton cultivation
  • Project will run across India with first results expected by the end of 2023

In a world first, the Global Organic Textile Standard (GOTS), European Space Agency (ESA) and AI company Marple have today launched a new demonstrator project that aims to show the potential for remote satellite monitoring of organic cotton cultivation systems.

The project, to be carried out under ESA’s Business Applications and Space Solutions (BASS) programme, will train artificial intelligence (AI) to use ESA satellite data to detect cotton fields across India and automatically classify them according to their cultivation standard. By integrating standardised yield metrics, this innovative approach will also enable GOTS to generate realistic estimates of organic cotton yields in specific areas.

  • Project from the Global Organic Textile Standard, European Space Agency and Marple will use AI and satellite imagery to detect organic versus non-organic cotton fields
  • Innovative demonstrator project explores the potential of remote monitoring to strengthen integrity and development of organic cotton cultivation
  • Project will run across India with first results expected by the end of 2023

In a world first, the Global Organic Textile Standard (GOTS), European Space Agency (ESA) and AI company Marple have today launched a new demonstrator project that aims to show the potential for remote satellite monitoring of organic cotton cultivation systems.

The project, to be carried out under ESA’s Business Applications and Space Solutions (BASS) programme, will train artificial intelligence (AI) to use ESA satellite data to detect cotton fields across India and automatically classify them according to their cultivation standard. By integrating standardised yield metrics, this innovative approach will also enable GOTS to generate realistic estimates of organic cotton yields in specific areas.

Integrated with existing GOTS measures, this project will enable GOTS to further enhance the integrity of organic cotton by developing advanced risk assessment technology for organic certification and preventing fraud from the beginning of the supply chain. “It is an honour and very exciting to be a partner in this ESA Demonstration Project, and it is living up to our claim to be pioneers serving the sustainable textile sector to enable continuous improvement. Technologies like this will be a game changer regarding the integrity and promotion opportunities of organic cotton.” says Claudia Kersten, Managing Director of GOTS.

The project's anticipated impact extends beyond identifying certified organic cotton fields. It is expected to also empower GOTS to recognise cotton fields that have not yet obtained organic certification but possess the potential for a seamless transition to organic cultivation, thanks to their utilisation of traditional and ecologically friendly farming practices. This would enable GOTS to bring a greater number of farmers – particularly those of a smaller size – into the certified organic sector and supply chains, creating new economic opportunities for small-scale farmers and their communities while also helping the textile sector to meet growing consumer demand for organic cotton. Guillaume Prigent, Business Development and Partnerships Officer at the European Space Agency, adds: “This project highlights how space solutions can have a positive impact on the world and is the kind of innovation that ESA supports through its Business Applications and Space Solutions programme.”

The project will run across the distinct cotton growing regions in India, with first results expected by the end of 2023.

India project builds on successful Uzbekistan feasibility pilot
The project is co-financed by GOTS and ESA, in collaboration with Marple GmbH, a German software development firm that developed the CoCuRA (Cotton Cultivation Remote Assessment) software with ESA BASS and successfully piloted it in a feasibility project in 2021 in Uzbekistan.

That venture showed how the trained AI was able to accurately differentiate cotton fields from other crops using only satellite images and sensor data, as well as whether the cotton fields were cultivated organically.

This spurred considerable interest from GOTS, which has committed to the development of cutting-edge technologies that can improve the integrity of the organic textile sector, especially cotton. Dr David Scherf, co-founder of Marple, said: “All our projects strive to leverage advanced technology for a positive impact on the environment and society. We are therefore delighted that our CoCuRA technology, which emerged from a moonshot research project, is being applied in a practical and impactful way. We are excited about the opportunity to work with the exceptional team at GOTS and further strengthen our successful partnership with ESA.”

More information:
GOTS AI cotton India
Source:

GOTS Global Organic Textile Standard

02.03.2023

Recycling Atelier Augsburg and Kelheim Fibres cooperate

Kelheim Fibres, a leading manufacturer of viscose speciality fibres, has joined Recycling Atelier Augsburg. Recycling Atelier Augsburg is a unique centre for research and development in the field of textile recycling. It is located at the Institut für Textiltechnik Augsburg an affiliated institute of Augsburg University of Applied Sciences. The two institutions founded the Recycling Atelier in June 2022 together with twelve partners from the German textile industry.

In the Recycling Atelier, the focus is on the triad of technical and ecological sense as well as economic benefit. In this way, the partners of the Recycling Atelier are standing up against fast fashion, outsourced corporate responsibility and a general decline in raw material quality, which often fuels downcycling - the low-quality reuse - of materials.

Kelheim Fibres, a leading manufacturer of viscose speciality fibres, has joined Recycling Atelier Augsburg. Recycling Atelier Augsburg is a unique centre for research and development in the field of textile recycling. It is located at the Institut für Textiltechnik Augsburg an affiliated institute of Augsburg University of Applied Sciences. The two institutions founded the Recycling Atelier in June 2022 together with twelve partners from the German textile industry.

In the Recycling Atelier, the focus is on the triad of technical and ecological sense as well as economic benefit. In this way, the partners of the Recycling Atelier are standing up against fast fashion, outsourced corporate responsibility and a general decline in raw material quality, which often fuels downcycling - the low-quality reuse - of materials.

As a model factory, the Recycling Atelier Augsburg combines the most important processes of textile recycling and offers holistic and comprehensive research along the value chain," explains Georg Stegschuster, head of the Recycling Atelier Augsburg. The scientists research on all process steps of textile recycling: from material analysis to sorting, preparation and textile processing to sustainable product design. Comprehensive data collection and the use of artificial intelligence as well as innovative materials play a central role.

Kelheim Fibres is a producer of high-quality viscose fibres, which consist of cellulose, the main component of the renewable raw material wood, and are used worldwide for products in areas such as hygiene, textiles, and technical applications.

"In New Business Development as well as Fibre and Application Development, we follow the Open Innovation concept - the cooperation with the Recycling Atelier offers us an ideal platform for this. Here we work with partners to advance sustainability and performance," explains Maik Thiel, project manager at Kelheim Fibres.

Recycled cotton fibres are often very short or of uneven length, which makes further processing of 100 % recycled material a challenge. Adding speciality fibres from Kelheim Fibres should enable the production of high-quality new products, such as nonwovens. In the future, the fibres provided by Kelheim Fibres will also be made from recycled pulp.

Source:

Kelheim Fibres GmbH

21.11.2022

Hohenstein invests 1.3 million Euro in Sizekick

Aim: Reducing returns and thus increasing sustainability in fashion e-commerce

Hohenstein, a global market leader in apparel sizing and fit development, has invested in AI technology startup, Sizekick. The collaboration will enable accurate decisions on apparel size, improving online shopping experiences, reducing returns and preventing the associated CO2 emissions.

Hohenstein’s 1.3 million Euro investment in the 2022 startup will drive growth in the Sizekick team and enable the 2023 launch of its smartphone app for online shoppers.  The technology will enable online shoppers to find the right clothing size in a few seconds via smartphone.

Aim: Reducing returns and thus increasing sustainability in fashion e-commerce

Hohenstein, a global market leader in apparel sizing and fit development, has invested in AI technology startup, Sizekick. The collaboration will enable accurate decisions on apparel size, improving online shopping experiences, reducing returns and preventing the associated CO2 emissions.

Hohenstein’s 1.3 million Euro investment in the 2022 startup will drive growth in the Sizekick team and enable the 2023 launch of its smartphone app for online shoppers.  The technology will enable online shoppers to find the right clothing size in a few seconds via smartphone.

Sizekick puts an end to unnecessary size-related returns in fashion online retail. The Munich-based company uses artificial intelligence and computer vision technology to recommend the right clothing size to customers in partner web stores. With the help of the integrated Sizekick software and a smartphone, anyone can find the right size in a few seconds. Fashion and sports brands, but also multi-brand stores or marketplaces can integrate the "Sizekick Button" in their online store. Sizekick offers its solution as Software-as-a-Service (SaaS).

"The strategic partnership with Hohenstein enables us, as a new AI solution, to meet the high demands of the market right at the start and to take on the role of technology leader. Our artificial intelligence is already learning thanks to the comprehensive Hohenstein database of 3D body scans. This is an extremely big advantage for our AI," highlights Jake Lydon, CTO at Sizekick.

Source:

Hohenstein

(c) Presize
21.01.2022

Hohenstein and Presize partner for more sustainability for online shopping

Hohenstein, a leading specialist in fit and pattern engineering, has joined forces with digital size pioneer, Presize. The partnership now offers a variety of business services, including reliable size tables and digital scaling, that empower online retailers to automatically recommend appropriate garment sizes.

Merging traditional size tables, reliable garment fits and digital body measurements with smartphone technology reduces the number of returned online purchases. Proper fit also reduces waste, lowers footprint and bolsters customer loyalty.

“The better a brand understands sizes, fits and target groups, the more accurately they can automate size recommendations. We help brands meet the different requirements of various sizes, so the fit is comfortable across customer ranges, collections and suppliers,” states Simone Morlock, Head of Hohenstein’s Digital Fitting Lab.

Hohenstein, a leading specialist in fit and pattern engineering, has joined forces with digital size pioneer, Presize. The partnership now offers a variety of business services, including reliable size tables and digital scaling, that empower online retailers to automatically recommend appropriate garment sizes.

Merging traditional size tables, reliable garment fits and digital body measurements with smartphone technology reduces the number of returned online purchases. Proper fit also reduces waste, lowers footprint and bolsters customer loyalty.

“The better a brand understands sizes, fits and target groups, the more accurately they can automate size recommendations. We help brands meet the different requirements of various sizes, so the fit is comfortable across customer ranges, collections and suppliers,” states Simone Morlock, Head of Hohenstein’s Digital Fitting Lab.

This size and grading advice is now underpinned by digital measurement services and technology based on artificial intelligence. “All it takes to work out the right size, based on a user’s individual body measurements, are some quick questions regarding their age, height and weight, plus an optional video to take measurements. We use an algorithm that learns as it goes along, and this improves the advice given on sizes with each order or return,” states Presize co-founder and CEO, Leon Szeli.

Join the free webinar on “Hohenstein Meets Presize - How sizing fundamentals and reliable fit can increase the effectiveness of smartphone body measurements and reduce eCommerce returns” on March 24, 2022.*

*Click here for more information.

Source:

Hohenstein