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

这个小企业创新研究（SBIR）第一阶段项目的更广泛的影响提供了工具，以确定和实现在碳固存项目中使用矿山废石的机会。该项目包括必要的研究和开发活动，以便将岩石风化地球化学的观察结果转化为一套综合工具，供采矿公司描述采矿期间挖掘的地质材料将大气中的二氧化碳封存为固体、地质稳定的碳酸盐矿物相的潜力。该服务将采用一种新的预测建模工具和一种确定特定地点数据的方法，以参数化模型。拟议的项目将通过一个新的硅酸盐矿物风化概念框架来描述采矿材料的碳固存潜力。目前还没有成熟的工具来描述这种潜力，具有足够的准确性，以优化岩石储存系统的碳封存设计。拟议的创新将包括一个新的实现数学的“收缩核心模型”到一个反应性的运输框架，以模拟扩散控制的硅酸盐矿物风化和随后的碳酸盐矿物沉淀。 创新还包括一个新的应用矿山废物特性测试工作，以确定特定地点的反应动力学的多矿物组合模型参数化。研究和开发活动包括风化矿山废物和废物类似物的矿物表征、数学模型开发以及对已发表和专有动力学数据的重新解释。 工业界将提供实验室和实地测试规模的关于采矿材料风化的地球化学数据。 该模型将用于预测在实地试验中发生的螯合率。该模型的预测能力将通过与观测到的碳封存率进行比较来测试。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

The broader impact of this Small Business Innovation Research (SBIR) Phase I project provides tools to identify and realize opportunities to use mine waste rock in carbon sequestration projects. This project encompasses research and development activities necessary to translate observations on the geochemistry of rock weathering into a comprehensive toolset for mining companies to characterize the potential for geologic materials excavated during mining to sequester atmospheric carbon dioxide as solid, geologically stable carbonate mineral phases. The service will employ a novel predictive modelling tool and a method for determining the site-specific data to parameterize the model. The proposed project will characterize the carbon sequestration potential of mined materials through a novel framework for conceptualizing silicate mineral weathering. Currently no established tools characterize this potential with sufficient accuracy to optimize the design of rock storage systems for carbon sequestration. The proposed innovation will include a novel implementation of mathematics of the “shrinking core model” into a reactive transport framework to simulate diffusion-controlled silicate mineral weathering and subsequent carbonate mineral precipitation. The innovation also includes a novel application of mine waste characterization test work to identify site-specific reaction kinetics of multi-mineral assemblages for model parameterization. Research and development activities include mineral characterization of weathered mine waste and waste analogues, mathematical model development, and re-interpretation of published and proprietary kinetic data. Geochemical data on the weathering of mined materials at the lab and field-test scale will be provided by industry. The model will be used to predict the rate of sequestration occurring at the field tests. The predictive skill of the model will be tested via comparison to observed carbon sequestration rates.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.