PFI-RP: A Novel Plastic Waste Recovery, Based on Environmentally Friendly (Green) Solvents

PFI-RP：基于环保（绿色）溶剂的新型塑料废物回收

• 批准号: 2234450
• 负责人: Ezra Bar-Ziv
• 金额: $ 55万
• 依托单位: Michigan Technological University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-04-01 至 2026-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2234450&HistoricalAwards=false
• 关键词: PFI; RP; Novel; Plastic; Waste

The broader commercial potential of this Partnership for the proposed Innovation-Research Partnerships (PFI-RP) project is the separation of plastic wastes into single pure resins to reuse in their original applications, such as food packaging. This technological solution significantly reduces disposal of plastic wastes in landfills. The novel approach turns a waste product into an asset. Further, the energy required for this new process is 7-10 times lower than the production of virgin resins from petroleum because the temperatures involved are lower than those in the current production processes (110-130 oC). The operation cost is lower than the petroleum-based polymers because no catalysts are used and the equipment cost is lower because standard equipment from chemical industry is used. Economic analysis has shown the technology to be cost effective at small-medium-large plant sizes. The following are the main benefits of this innovation: (1) prevention of disposal in landfills; (2) production of recyclable plastic products; (3) reduction of carbon footprint; and (4) lower costs. In addition, the societal benefits are the reduction of land used for landfills, the reduction in greenhouse gas generation, the reduction in ocean plastics, and an increased sustainability of materials.This project will enable the separation of most of the resins in plastic wastes using a sequence of solvents with each solvent specifically dissolving a specific resin. This process is based on molecular dynamic calculations that elucidate the interactions between the solvents and the polymers, accurately predicting and selecting solvents for specific polymers. The process has been verified experimentally at the bench scale. The key technological hurdle in scaling up the technology is integrating the various pilot scale components, high solvent recovery rate, andtransition to the use of green solvents. The main advantage over the competition is the ability to generate solubility curves for any plastic resin in any solvent in a relatively short time. The team has a database of over 1000 solvents, including green solvents.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该伙伴关系对于拟议的创新研究伙伴关系（PFI-RP）项目的更广泛的商业潜力是将塑料废物分离成单一纯树脂，以便在食品包装等原始应用中重复使用。该技术解决方案显着减少了垃圾填埋场中塑料废物的处置。这种新颖的方法将废品变成资产。此外，这种新工艺所需的能量比从石油生产原始树脂低 7-10 倍，因为所涉及的温度低于当前生产工艺 (110-130 oC)。由于不使用催化剂，操作成本低于石油基聚合物，并且由于使用化学工业的标准设备，设备成本较低。经济分析表明，该技术对于中小型工厂来说具有成本效益。这项创新的主要好处如下：（1）防止在垃圾填埋场处置； （二）可回收塑料制品的生产； (3)减少碳足迹； (4)降低成本。此外，社会效益还包括减少垃圾填埋场使用的土地、减少温室气体的产生、减少海洋塑料的使用以及提高材料的可持续性。该项目将能够利用一系列溶剂，每种溶剂专门溶解特定的树脂。该过程基于分子动力学计算，阐明了溶剂和聚合物之间的相互作用，准确预测和选择特定聚合物的溶剂。该工艺已在小规模实验上得到验证。扩大该技术规模的关键技术障碍是整合各种中试规模组件、高溶剂回收率以及过渡到使用绿色溶剂。相对于竞争对手的主要优势是能够在相对较短的时间内生成任何塑料树脂在任何溶剂中的溶解度曲线。该团队拥有超过 1000 种溶剂的数据库，其中包括绿色溶剂。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Robust plastic waste classification using wavelet transform multi-resolution analysis and convolutional neural networks

使用小波变换多分辨率分析和卷积神经网络进行稳健的塑料废物分类

• DOI: 10.1016/j.compchemeng.2023.108516
• 发表时间: 2023-11-01
• 期刊: Comput. Chem. Eng.
• 作者: F. Long;Shengli Jiang;Ezra Bar;Victor M. Zavala
• 通讯作者: Victor M. Zavala