SBIR Phase II: Predictive Tools for Characterizing Carbon Sequestration in Mined Materials

SBIR 第二阶段：用于表征开采材料中碳封存的预测工具

• 批准号: 2212919
• 负责人: Tamara Diedrich
• 金额: $ 99.88万
• 依托单位: MINERALOGIC LLC
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-02-15 至 2025-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2212919&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Predictive; Tools

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is to fully realize the potential for weathering of mine waste to remove carbon dioxide (CO2) from the atmosphere. By helping mining companies in this effort, this project will positively impact human health and welfare while potentially producing a competitive advantage to the domestic mining industry. The project implementation been designed to maximize positive broader impacts including developing a future workforce and improving public scientific literacy through deliberate public communications on geochemical weathering, carbon emissions, and climate change. This project advances the characterization of carbon mineralization potential of mined materials by incorporation of a novel framework for conceptualizing silicate mineral weathering and a custom test apparatus for direct measurement of carbon mineralization rates. A working prototype geochemical model was developed in SBIR Phase I to simulate enhanced rock weathering of representative mine waste. The prototype predictive model reflects the unique chemical and surface characteristics of mine waste through incorporation of novel kinetic modules and opportunistic parameterization methods. While this product represents an advance over existing geochemical reactive transport codes, it is most effective as a screening tool. In order to advance from screening for carbon mineralization potential to optimization of carbon mineralization strategies, this Phase II project will develop an innovative test apparatus and related methodologies for carbon mineralization characterization. The design of this test method flows from preliminary application of the Phase I predictive model and the results feed back into refined parameters that are needed to meet industry requirements for design basis precision. The test apparatus and model will be deployed to demonstrate the utility of this new service to the mining industry and other stakeholders.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.

这项小型企业创新研究（SBIR）II期项目的更广泛的影响/商业潜力是完全意识到风化矿物废物从大气中清除二氧化碳（CO2）的潜力。通过帮助采矿公司进行这项努力，该项目将对人类健康和福利产生积极影响，同时可能为国内采矿业带来竞争优势。该项目的实施旨在最大程度地提高积极的广泛影响，包括通过故意公开沟通地球化学风化，碳排放和气候变化来提高公共科学素养。 该项目通过合并一个新颖的框架来概念化硅酸盐矿物风化和一种定制测试设备，用于直接测量碳矿化速率，从而推进了采矿材料的碳矿化潜力。在SBIR I期开发了一个工作原型地球化学模型，以模拟代表性矿物废物的增强岩石风化。原型预测模型通过掺入新型动力学模块和机会性参数化方法来反映矿物废物的独特化学和表面特征。尽管该产品代表了现有的地球化学反应性传输代码的进步，但它作为筛选工具最有效。为了从筛选碳矿化潜力筛查到优化碳矿化策略，该II期项目将开发一种创新的测试设备和相关的碳矿化特征方法。该测试方法的设计来自I阶段预测模型的初步应用，结果将其反馈到精制参数中，这些参数满足了设计基础精度的行业需求。 测试设备和模型将被部署，以证明这项对采矿业和其他利益相关者的新服务的实用性。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估评估标准来通过评估来支持的。