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: 2324950
• 负责人: Sara Behdad
• 金额: $ 25万
• 依托单位: University of Florida
• 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=2324950&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，其中很大一部分最终进入垃圾填埋场，这尤其令人担忧，因为电子产品制造使用的材料来自环境和社会保障不足的地区，而且电子废物中的材料也很有价值。包括金、银、铜和铂，通常被送往焚烧或垃圾填埋场。该合作项目旨在通过转变电子设计实践和优化电子废物物流来加强电子废物回收。该项目的新颖性正在开发中。俄勒冈州立大学和佛罗里达大学的研究人员将开发低成本无线标签和计算模型，以准确量化与电子废物回收和再循环相关的成本和环境影响。根据该项目期间开发的决策模型，提供有关材料类型、数量和建议回收流程的信息。该项目的影响是提高电子废物的回收率和回收效率。此外，标签信息将允许跟踪回收的电子废物。基于生产者的废物，使公共政策能够该项目还包括广泛的教育和推广活动，强调对代表性不足群体的学生进行指导，并通过课程开发、K-12 推广和本科生暑期研究经验来增强对研究成果的获取。该项目旨在开发集成电路（IC）硬件系统以及数据收集和决策支持指标，以建立电子设备再利用和回收的定量信息生态系统。该合作项目汇集了在集成电路设计、可持续制造，该项目设想利用关键设备数据（例如材料含量和使用行为）来量化可重复使用性指标并开发决策模型，以便为消费者、维修人员和回收商提供有关硬件最终使用策略的信息。建模研究任务将扩展有源射频 ID (RFID) 设计的范围，并为电子废物逆向物流所施加的关键约束建立数学模型。通过将高度可扩展且易于部署的硬件与报废决策支持模型相结合，该项目将展示循环生态系统的可行性，该生态系统可以显着提高再制造操作并更有效地制定生产者责任战略。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。