再生塑料原料
Search documents
从废旧资源到百亿产业——广西梧州再生新材料产业发展观察
Xin Hua Wang· 2025-10-18 00:38
"2005年,梧州以进口再生资源加工产业发展为契机,整合众多小型废旧品拆解企业,持续推动资源循环利用产业加快发展。20年来,梧州多 向发力,形成了品种丰富、资源集聚、企业集中的再生新材料产业集群。"梧州市工业和信息化局副局长马天宝说。 从各地回收的废弃塑料瓶捆绑成堆,等待进入清洗流程。经过脱标、强力摩擦、破碎等多道工序,最终变成一颗颗2至5毫米的PET颗粒,至 此,在广西梧州国龙再生资源发展有限公司的生产线上,废弃的塑料瓶"重获新生",成为全新的塑料原料。 "我们立足于废塑料资源的综合回收利用事业,经过多年研发,形成了具有自主核心技术的生产线,实现了'回收-再生'的一体化闭环模 式。"广西梧州国龙再生资源发展有限公司常务副总经理陈定海说,目前,企业每年可回收处理废旧塑料26万吨,年生产再生塑料原料20万吨,相 当于每年可节约石油约52.2万吨。 废弃塑料经过深加工正在"再生"。新华社记者吴思思 摄 地处西江之畔的梧州通过长达20年的产业布局,成了广西"变废为宝"产业的"先锋官"。 当前,梧州已经建成涵盖再生不锈钢、再生铜、再生塑料、再生纸及稀贵金属回收利用等六大领域的再生新材料产业,初步建成"回收-拆解 -粗 ...
博源环保塑料破碎清洗加工线投产
Zhong Guo Hua Gong Bao· 2025-08-12 02:00
Core Viewpoint - China Resources Recycling Group's subsidiary, Boyuan Environmental Protection Company, has successfully launched an intelligent plastic crushing and cleaning processing line, enhancing the recycling of waste plastics and promoting high-end, intelligent, and green development in the industry [1] Group 1: Technological Advancements - The company has introduced supergravity separation technology to address challenges such as low sorting efficiency and high impurity residue, significantly improving product purity and material added value while reducing equipment wear risk [1] - Collaborating with academic teams, the company has made breakthroughs in the analysis of small appliance plastic types and microplastic processing, upgrading the intelligent plastic crushing and cleaning line [1] Group 2: Production Capacity and Environmental Impact - The production line can process 10,000 tons of waste plastics annually, which is equivalent to reducing approximately 40,000 tons of carbon dioxide emissions and saving about 50,000 tons of petroleum resources [1] - The line transforms the plastic from discarded home appliances into high-value recycled materials, which can be widely used in textiles, automotive, and electronic packaging sectors [1] Group 3: Automation and Precision - The company employs internationally leading automated sorting technology, integrating optical recognition, density sorting, and AI algorithms to accurately distinguish different materials and colors of waste plastics, achieving a sorting purity of over 99% [1]