BE MUSES: A Multiscale Bayesian Framework for the Life Cycle Inventory of Industrial Materials - The Case of Transportation Fuels

BE MUSES：工业材料生命周期清单的多尺度贝叶斯框架 - 以运输燃料为例

• 批准号: 0424692
• 负责人: Bhavik Bakshi
• 金额: $ 11.5万
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-01-01 至 2006-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0424692&HistoricalAwards=false
• 关键词: MUSES; Multiscale; Bayesian; Framework; Life

MUSES: A Multiscale Statistical Framework for the Life Cycle Inventory of Industrial Materials - The Case of Transportation FuelsThis Biocomplexity: MUSES research and education plan aims to utilize the latest advances in multiscale Bayesian methods to develop a systematic method for integrating the equipment, process life cycle, and economy scale analysis of a material's life cycle. Cross-disciplinary and integrated modeling is appealing for evaluating the economic, environmental and social aspects of materials use. However, previous efforts indicate the formidable challenges in developing useful models due to the vastly different scales and uncertainty. Economic models are at a relatively coarse scale, process life cycle assessment is done at an intermediate scale, while engineering models are at a finer scale. The proposed work will treat LCA as a multiscale statistical data fusion problem, where data and models are available with different degrees of spatial aggregation. The resulting multiscale model will be useful for studying the impact of economic policies on finer scales. This exploratory project will focus on developing the statistical framework, completing illustrative examples and initiating the multiscale life cycle model for gasoline. Techniques from environmental economics will quantify the externalities during the life cycle of materials use, and will be used to formulate policy alternatives. Furthermore, the proposed educational activities will provide insight into the human response to environmental problems. This will be used to devise effective teaching methods and meaningful socio-economic policies, making this a fully integrated multidisciplinary project. This work involves collaboration between chemical engineering, natural resources, environmental economics and statistics. Collaboration with researchers in Brazil and industrial partners has also been established.A workshop on "Resilience Under Uncertainty: Technological, Economic, Ecological and Social Systems" will bring together multidisciplinary leaders and researchers in this emerging field. This project will be co-managed by ECS and DMII.

MUSES：工业材料生命周期清单的多尺度统计框架 - 以运输燃料为例此生物复杂性：MUSES 研究和教育计划旨在利用多尺度贝叶斯方法的最新进展，开发一种系统方法，用于集成设备、工艺生命周期和材料生命周期的经济规模分析。跨学科和综合建模对于评估材料使用的经济、环境和社会方面具有吸引力。然而，之前的努力表明，由于规模和不确定性的巨大差异，开发有用模型面临着巨大的挑战。经济模型处于相对粗糙的尺度，过程生命周期评估处于中等尺度，而工程模型处于更精细的尺度。 拟议的工作将把 LCA 视为多尺度统计数据融合问题，其中数据和模型具有不同程度的空间聚合。由此产生的多尺度模型将有助于研究经济政策对更精细尺度的影响。该探索性项目将侧重于开发统计框架、完成说明性示例并启动汽油的多尺度生命周期模型。 环境经济学的技术将量化材料使用生命周期中的外部性，并将用于制定替代政策。此外，拟议的教育活动将深入了解人类对环境问题的反应。这将用于设计有效的教学方法和有意义的社会经济政策，使之成为一个完全综合的多学科项目。 这项工作涉及化学工程、自然资源、环境经济学和统计学之间的合作。 还与巴西的研究人员和工业合作伙伴建立了合作。“不确定性下的恢复力：技术、经济、生态和社会系统”研讨会将汇集这一新兴领域的多学科领导者和研究人员。该项目将由 ECS 和 DMII 共同管理。