BE/MUSES: A Multiscale Statistical Framework for Assessing the Biocomplexity of Materials Use - The Case of Transportation Fuels

BE/MUSES：用于评估材料使用的生物复杂性的多尺度统计框架 - 以运输燃料为例

• 批准号: 0524924
• 负责人: Bhavik Bakshi
• 金额: $ 156.75万
• 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: 2005-10-01 至 2011-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0524924&HistoricalAwards=false
• 关键词: MUSES; Multiscale; Statistical; Framework; Assessing

The goal of this Biocomplexity in the Environment / Materials Use: Science, Engineering and Society project is to develop a novel and general statistical framework to enable a) utilization of all kinds of data at disparate scales, b) elicitation of social preferences, policy design and evaluation at macro and micro scales, and c) integration with environmental life cycle assessment. This framework will be used to study the biocomplexity of transportation fuels : gasoline, ethanol, biodiesel and hydrogen, and to understand the transitional effects of switching between fuels. Motivated by environmental and geopolitical concerns, transportation fuels such as ethanol, biodiesel and hydrogen are often suggested as viable alternatives to existing fossil fuels. However, sensible selection among these options requires an understanding of their technical, economic, environmental and social implications. This is a challenging task due to the complex supply and delivery networks of these materials, the many alternative raw materials and manufacturing pathways, the variety of emissions and their impacts, uncertain data and models, interaction with economic factors and the effect of social preferences. The statistically enhanced lifecycle framework will assist decision makers in evaluating the impact of industrial activities on the economy and ecosystems, and the effect of government policies on industry. This framework will be applied to other countries via international collaboration, and its general nature makes it relevant to decision-making tasks across many disciplines. Survey efforts will provide insight into social preferences and environmental literacy of various groups. This will support policy design and educational capacity building on college campuses. New material will be developed for K-12 teacher education, along with software tools for technical and non-technical users, and a campus-wide graduate sustainability minor.

这种生物复杂性在环境 /材料中的目的是使用：科学，工程和社会项目是开发一个新颖和一般的统计框架，以使a）在不同尺度上利用各种数据，b）在宏观和微型范围内启发社会偏好，政策设计和评估，以及c）与环境生命周期评估的整合。该框架将用于研究运输燃料的生物复杂性：汽油，乙醇，生物柴油和氢，并了解燃料之间切换的过渡效应。受环境和地缘政治关注的促进，通常认为乙醇，生物柴油和氢等运输燃料是现有化石燃料的可行替代品。但是，这些选择中的明智选择需要了解其技术，经济，环境和社会影响。由于这些材料的复杂供应和交付网络，许多替代原材料和制造途径，排放及其影响的多样性，不确定的数据和模型，与经济因素的互动以及社会偏好的影响，这是一项具有挑战性的任务。统计增强的生命周期框架将帮助决策者评估工业活动对经济和生态系统的影响，以及政府政策对工业的影响。 该框架将通过国际合作应用于其他国家，其一般性使其与许多学科的决策任务有关。调查工作将为各个群体的社会偏好和环境素养提供洞察力。这将支持大学校园的政策设计和教育能力建设。新材料将针对K-12教师教育开发，以及针对技术和非技术用户的软件工具，以及校园范围内的毕业生可持续发展次要的未成年人。