From the Sector

For the third time, the GoodTextiles Foundation is realising a WASH community project together with Cotton made in Africa (CmiA). In cooperation with the CmiA-verified cotton company Sofitex, hand-operated pumps were installed in two villages in Burkina Faso/Africa to improve the drinking water supply. The three partners have also trained the villagers in the use of water, particularly with regard to disease prevention, hygiene and healthcare.

For the people in the villages of Sidi and Moukouma, daily life was a challenge: they had to walk between four and ten kilometres to get access to clean drinking water. They were often forced to resort to unsafe water sources such as rivers, which resulted in significant hygiene and health problems.

Following a comprehensive assessment of water scarcity at the project sites, two boreholes were drilled and hand-operated pumps installed. These are located in communal areas that are freely accessible to all and free of any private property and rights. Now the 3,000 inhabitants of both villages have unrestricted access to clean drinking water at all times - a real lifeline for the communities.

A water management committee was set up in each village. In the WASH training sessions, the participants were familiarised with the tasks and functions of the water committee. In addition, the villagers were given a better understanding of WASH practices and principles. They were also taught how to promote hygiene at the water points to ensure water quality. Finally, they were given the necessary maintenance tools for their work.

A total of 115 committed people, including 61 men and 54 women, took part in the training courses. They will now act as multipliers for WASH initiatives, water, sanitation and hygiene measures in their communities and pass on their knowledge. Each committee also received a toolkit for the maintenance of boreholes - so that this project is not just short-term help, but a sustainable improvement in living conditions.

The GoodTextiles Foundation is supporting the project with around €17,000.00.

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.

Kornit Digital Ltd., a worldwide market leader in digital textile production technologies, released its 2020 Impact and Environmental, Social, and Governance (“ESG”) Report. This inaugural report affirms Kornit’s commitment to achieving specific ESG goals. This includes the way Kornit conducts business, creates meaningful impact in local communities, and achieves environmental sustainability, in addition to how Kornit will continue to build a diverse and inclusive company culture, foster employee growth and development, and empower fair and safe labor practices globally.
 
In addition to enabling eco-friendly production processes with technology and consumables that use less water, reduce waste, and minimize the carbon footprint, Kornit technology solutions enable sustainable production on demand, which eliminates overproduction of apparel and other textile goods. A 2021 Life Cycle Assessment conducted on two flagship products, the Kornit Atlas MAX and Kornit Presto S, demonstrated that relative to traditional analog processes, Kornit’s digital production systems used up to 95% less water and 94% less energy, and produced up to 83% less greenhouse gas (GHG) emissions for the Presto S system and up to 93% less water and 66% less energy, and produced up to 82% less greenhouse gas (GHG) emissions for the Atlas MAX system.

Based on this study, in addition to past sustainability performance results and strategic projections for business growth and market expansion, by 2026 Kornit Digital’s sustainable on-demand solutions are expected to enable the production of approximately 2.5 billion apparel items in a responsible manner to deliver:

• Zero overproduction: By moving the industry to on-demand manufacturing, Kornit will help eliminate the estimated 1.1 billion apparel items overproduced using traditional production methods, based on an industry average of 30% overproduction. This is about 1 apparel item for each and every person living in Europe and North America – saved.
• Zero water waste: In addition to eliminating overstocks, Kornit-enabled production on demand will support saving an estimated 4.3 trillion liters (1.1 trillion gallons) of water. This is the estimated amount of drinking water needed for the entire U.S. population for 11 years.
• Reduced CO2 emissions: By enabling sustainable on-demand production, consuming less energy, and generating less waste, Kornit will prevent an estimated 17.2 billion kilograms (37.9 billion pounds) of greenhouse gas emissions, compared to traditional manufacturing methods. This is equivalent to the estimated amount of carbon dioxide emitted from circumnavigating the entire planet with a car nearly 2,400 times.

Furthermore, the report outlines Kornit’s commitment to achieving KPIs that address waste, chemicals, GHG emissions, energy, product development, employee training, diversity and inclusion, and the company’s supply chain.