Collaborative Research: DESC: Type 1: Software-Hardware Recycling and Repair Dataset Infrastructure (SHReDI) for Sustainable Computing

合作研究：DESC：类型 1：用于可持续计算的软硬件回收和修复数据集基础设施 (SHReDI)

• 批准号: 2324949
• 负责人: Arun Natarajan
• 金额: $ 35万
• 依托单位: Oregon State 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: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2324949&HistoricalAwards=false
• 关键词: Collaborative; Research; DESC; Type; Software

Electronic waste (e-waste) is the fastest-growing waste stream worldwide, with a significant portion ending up in landfills. This is particularly concerning since electronics manufacturing uses materials from regions with insufficient environmental and social safeguards. Furthermore, valuable materials in e-waste, including gold, silver, copper, and platinum, are often consigned to burning or landfills. This collaborative project aims to enhance e-waste recovery by transforming electronics design practices and optimizing e-waste logistics. The project’s novelties are in the development of low-cost wireless tags and computational models for accurately quantifying the costs and environmental impacts associated with e-waste recovery and recycling. Researchers at Oregon State University and the University of Florida will develop wireless tags that will provide recyclers with easy-to-read information about material types, quantities, and recommended recycling processes based on the decision-making models developed during this project. The project’s impacts are higher recycling rates and improved recycling efficiency for electronic waste. Additionally, the tag information will allow tracking of recycled e-waste based on producers, enabling public policy that accurately assigns recycling costs to electronics manufacturers. The project also includes a wide range of educational and outreach activities, emphasizing mentoring students from underrepresented groups and enhancing access to research outcomes through curriculum development, K-12 outreach, and undergraduate summer research experiences. The research objective of this project is to develop an integrated circuit (IC) hardware system, along with data collection and decision support metrics, to establish a quantitative information ecosystem for electronic device reuse and recycling. This collaborative project brings together investigators with complementary expertise in integrated circuit design, sustainable manufacturing, remanufacturing, and e-waste management. The project envisions leveraging critical device data such as material content and usage behavior to quantify reusability metrics and develop decision-making models to inform consumers, repairers, and recyclers on end-of-use strategies. The integrated hardware-and-modeling research tasks will extend the boundaries of active radio-frequency ID (RFID) design and enable mathematical models for critical constraints imposed by e-waste reverse logistics. By utilizing individual device data from RFID tags, decision-making models will be developed to enhance remanufacturing operations and formulate strategies for managing producer responsibility more effectively. By combining highly scalable and easily deployable hardware with end-of-life decision support models, the project will demonstrate the feasibility of a circular ecosystem that can significantly increase the reuse and recovery rates of e-waste.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.

电子废物（电子废物）是全球增长最快的废物流，其中很大一部分在垃圾填埋场中。这尤其关注，因为电子制造使用来自环境和社交保障措施不足的地区的材料。此外，电子废物中的有价值的材料，包括黄金，银，铜和铂，通常会被燃烧或垃圾填埋场。该协作项目旨在通过改变电子设计实践并优化电子废物物流来增强电子废物恢复。该项目的新颖性在于开发低成本无线标签和计算模型，以准确量化与电子废物恢复和回收相关的成本和环境影响。俄勒冈州立大学和佛罗里达大学的研究人员将开发无线标签，这些标签将为回收商提供有关材料类型，数量和推荐的回收流程的易于阅读的信息，这些信息基于此项目期间开发的决策模型。该项目的影响是较高的回收率和提高电子废物的回收效率。此外，标签信息将允许基于生产者的回收电子废物跟踪，从而使公共政策能够准确地将回收成本分配给电子制造商。该项目还包括各种各样的教育和外展活动，强调来自代表性不足的团体的心理学生，并通过课程开发，K-12外展和本科夏季研究经验来增强对研究成果的访问。该项目的研究目标是开发一个集成电路（IC）硬件系统，以及数据收集和决策支持指标，以建立一个用于电子设备再利用和回收利用的定量信息生态系统。该协作项目将研究人员汇集到具有综合电路设计，可持续制造，再制造和电子废物管理方面的完整专业知识。该项目编码利用关键设备数据（例如材料内容和使用行为）来量化可重复性指标和开发决策模型，以告知消费者，维修人员和回收者，以了解使用终止策略。集成的硬件和建模研究任务将扩展主动射频ID（RFID）设计的边界，并启用数学模型，以实现由电子废物反向物流施加的关键约束。通过利用来自RFID标签的单个设备数据，将开发决策模型来增强再制造操作并制定更有效地管理生产者责任的策略。通过将高度可扩展且易于部署的硬件与临终决策支持模型相结合，该项目将证明一个循环生态系统的可行性，可以大大提高电子废物的重用和恢复率。该奖项反映了NSF的法定任务，并通过使用基金会的知识优点和广泛的影响来评估NSF的法定任务。