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.

小型企业创新研究(SBIR)第二阶段项目的更广泛影响/商业潜力是充分实现矿山废物风化的潜力，以消除大气中的二氧化碳(CO2)。通过帮助矿业公司进行这一努力，该项目将对人类健康和福利产生积极影响，同时可能产生国内采矿业的竞争优势。该项目的实施旨在最大限度地发挥更广泛的积极影响，包括培养未来的劳动力，并通过有意识地就地球化学风化、碳排放和气候变化进行公共宣传，提高公众的科学素养。该项目通过纳入硅酸盐矿物风化概念化的新框架和直接测量碳矿化速率的定制测试仪器，推进了开采材料的碳矿化潜力的表征。在SBIR第一阶段开发了一个工作原型地球化学模型，以模拟典型矿山废物的强化岩石风化。原型预测模型通过引入新的动力学模型和机会性参数化方法，反映了矿山废物独特的化学和表面特征。虽然该产品代表了现有地化反应运输代码的进步，但作为一种筛查工具，它是最有效的。为了从碳矿化潜力的筛选到碳矿化战略的优化，本二期项目将开发一种创新的碳矿化表征测试仪器和相关方法。该测试方法的设计从第一阶段预测模型的初步应用开始，结果反馈到精炼参数中，这些参数需要满足行业对设计基础精度的要求。测试设备和模型将用于展示这项新服务对采矿业和其他利益相关者的效用。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。