Greener and smarter clothing to address climate change: an approach to learning from nature and utilising cutting-edge technologies

更环保、更智能的服装应对气候变化：向自然学习和利用尖端技术的方法

• 批准号: 2890117
• 金额: --
• 依托单位: Brunel University London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2890117
• 关键词: Greener; smarter; clothing; address; climate

The textile industry's CO2 emission exceeds international aviation and shipping [1]. According to the latest research by the Textiles Circularity Centre (TCC) funded by UKRI, the total carbon footprint of clothing in use in or passing through the UK is 43Mt CO2 [2]. We buy 60% more clothing than we did 20 years ago [3]. In 2021 consumers in the UK consumed clothing (including footwear) worth £68bn [4].Many factors contribute to fast fashion and the throw-away culture: e.g., consumerism and lack of knowledge of textiles; natural fibres used in clothing become shorter and weaker; raw material and fibre twist are reduced, textile processing is simplified, and labour time is minimised...The TCC has proposed shredding fashion waste and disposed textiles and re-spinning them to produce a recycled material. However, this will not totally solve the problem: complex blending of materials will make it more complicated for waste classification and future recycling. This research will tackle the problem from a different angle, i.e., learning from nature while utilising cutting-edge technologies.Greener and smarter clothing research will care for people and the planet by reducing unsustainable materials and manufacturing, and make clothing lasting. Reducing textile demands will significantly reduce CO2 emission to effectively tackle climate change.

纺织业的二氧化碳排放量超过国际航空业和航运业[1]。根据UKRI资助的纺织品循环性中心(TCC)的最新研究，在英国使用或通过英国使用的服装的总碳足迹为43Mt二氧化碳[2]。我们购买的衣服比20年前多了60%。2021年，英国消费者消费了价值680亿GB的服装(包括鞋类)[4]。许多因素促成了快速时尚和丢弃文化：例如，消费主义和对纺织品缺乏了解；用于服装的天然纤维变得更短、更弱；原材料和纤维缠绕减少，纺织品加工简化，劳动时间最小化……TCC提议将时尚垃圾和废弃纺织品粉碎并重新纺纱，以生产可回收材料。然而，这并不能完全解决问题：复杂的材料混合将使垃圾分类和未来的回收变得更加复杂。这项研究将从不同的角度来解决这个问题，即在利用尖端技术的同时向自然学习。更绿色、更智能的服装研究将通过减少不可持续的材料和制造来关爱人类和地球，并使服装更耐用。减少纺织品需求将显著减少二氧化碳排放，以有效应对气候变化。